ArticlePDF Available

The impact of macroeconomic fundamentals on the Indonesian Sharia stock index

Authors:

Abstract and Figures

Stock market index is a tool used by the investors to determine the market and compare to return on some certain investments. Many studies have been conducted aimed at investigating the relationship between stock market index and macroeconomic fundamentals. However, only a few studies investigated the Sharia stock index. This study investigated the long-term and short-term relationship between Indonesian Sharia Stock Index (ISSI) as the dependent variable and macroeconomic fundamentals as the independent variables comprising Consumer Price Index (CPI)-the proxy for inflation rate, interest rate, exchange rate, and money supply. The method used to investigate the long-term and short-term relationship was Vector Error Correction Model (VECM). Before using VECM, Johansen’s Co-integration Test was used to test the co-integration relationship between the dependent and independent variables. The result of showed that there is a long-term relationship, but no short-term relationship between those variables was found. The result of both tests revealed significant relationship between dependent variable and independent variables. However, the variable of CPI was insignificant in influencing ISSI. The conclusion is that ISSI reacts positively towards interest rate and money supply while high depreciation of Rupiah will potentially create difficulty towards the market conditions in a long-term.
Content may be subject to copyright.
789
Volume XI
Issue 5(43) Fall 2016
ISSN-L 1843 - 6110
ISSN 2393 - 5162
Volume XI, Issue 5(43) Fall 2016
Editorial Board
Editor in Chief
PhD Professor Laura GAVRILĂ (formerly ŞTEFĂNESCU)
Managing Editor
PhD Associate Professor Mădălina CONSTANTINESCU
Executive Editor
PhD Ion Viorel MATEI
International Relations Responsible
PhD Pompiliu CONSTANTINESCU
Proof – readers
PhD Ana-Maria TRANTESCUEnglish
Redactors
PhD Cristiana BOGDĂNOIU
PhD Sorin DINCĂ
European Research Center of Managerial Studies in Business Administration
http://www.cesmaa.eu
Email: jaes_secretary@yahoo.com
Web: http://cesmaa.eu/journals/jaes/index.php
Journal of Applied Economic Sciences
Editorial Advisory Board
Claudiu ALBULESCU, University of Poitiers, France, West University of Timişoara, Romania
Aleksander ARISTOVNIK, Faculty of Administration, University of Ljubljana, Slovenia
Muhammad AZAM, Department of Economics, Abdul Wali Khan University Mardan, Pakistan
Cristina BARBU, Spiru Haret University, Romania
Christoph BARMEYER, Universität Passau, Germany
Amelia BĂDICĂ, University of Craiova, Romania
Gheorghe BICĂ, Spiru Haret University, Romania
Ana BOBÎRCĂ, Academy of Economic Science, Romania
Anca Mădălina BOGDAN, Spiru Haret University, Romania
Giacommo diFOGGIA, University of Milano-Bicocca, Italy
Jean-Paul GAERTNER, l'Institut Européen d'Etudes Commerciales Supérieures, France
Shankar GARGH, Editor in Chief of Advanced in Management, India
Emil GHIŢĂ, Spiru Haret University, Romania
Dragoş ILIE, Spiru Haret University, Romania
Cornel IONESCU, Institute of National Economy, Romanian Academy
Elena DOVAL, Spiru Haret University, Romania
Camelia DRAGOMIR, Spiru Haret University, Romania
Arvi KUURA, Pärnu College, University of Tartu, Estonia
Rajmund MIRDALA, Faculty of Economics, Technical University of Košice, Slovakia
Piotr MISZTAL, Technical University of Radom, Economic Department, Poland
Simona MOISE, Spiru Haret University, Romania
Mihail Cristian NEGULESCU, Spiru Haret University, Romania
Marco NOVARESE, University of Piemonte Orientale, Italy
Rajesh PILLANIA, Management Development Institute, India
Russell PITTMAN, International Technical Assistance Economic Analysis Group Antitrust Division, USA
Kreitz RACHEL PRICE, l'Institut Européen d'Etudes Commerciales Supérieures, France
Mohammad TARIQ INTEZAR, College of Business Administration Prince Sattam bin Abdul Aziz University (PSAU),
Saudi Arabia
Andy ŞTEFĂNESCU, University of Craiova, Romania
Laura UNGUREANU, Spiru Haret University, Romania
Hans-Jürgen WEIßBACH, University of Applied Sciences - Frankfurt am Main, Germany
Volume XI, Issue 5(43) Fall 2016
Journal of Applied Economic Sciences
Journal of Applied Economic Sciences is a young economics and interdisciplinary research journal, aimed
to publish articles and papers that should contribute to the development of both the theory and practice in the field
of Economic Sciences.
The journal seeks to promote the best papers and researches in management, finance, accounting,
marketing, informatics, decision/making theory, mathematical modelling, expert systems, decision system support,
and knowledge representation. This topic may include the fields indicated above but are not limited to these.
Journal of Applied Economic Sciences be appeals for experienced and junior researchers, who are
interested in one or more of the diverse areas covered by the journal. It is currently published quarterly in Spring
(March), Summer (June), Fall (September) and Winter (December).
Journal of Applied Economic Sciences is indexed in SCOPUS www.scopus.com, CEEOL www.ceeol.org,
EBSCO www.ebsco.com, and RePEc www.repec.org databases.
The journal will be available on-line and will be also being distributed to several universities, research
institutes and libraries in Romania and abroad. To subscribe to this journal and receive the on-line/printed version,
please send a request directly to jaes_secretary@yahoo.com.
Journal of Applied Economic Sciences
Journal of Applied Economic Sciences
ISSN-L 1843 - 6110
ISSN 2393 5162
Table of Contents
Ján BULECA, Peter TÓTH
Panel Analysis of the Influence of Macroeconomic Factors on the Household Saving ….795
Ainur Yergazievna YESBOLOVA, Mariusz MACIEJCZAK, Saltanat Saparbaevna IBRAIMOVA,
Akmaral Lesbekovna AKHELOVA, Zhanar Orazalievna SABDENOVA,
Gulzhan Tohtargazyevna KUNAFINA
System based Development of the Poultry Sector in Kazakhstan in Mid Term Perspective 804
Abduarhman SALIM, Abduarhman Salim Abduallah BAHATTAB, Muhammad AZAM,
Laura GAVRILA, Chandra EMIRULLAH
Foreign Capital Inflows, Institutional Factors and Economic Growth: Evidences from Republic
of Yemen 811
Lesbek TAIZHANOV, Ulmeken MAKHANBETOVA, Borash MYRZALIEV, Gulmira
AZRETBERGENOVA, Ainura SAPAROVA
Improving the Efficiency of Socio-Economic Development of Mono-towns in the Republic of
Kazakhstan based on the Development Strategies 817
Aleksandr Mikhaylovich BATKOVSKIY, Alena Vladimirovna FOMINA, Elena Georgievna
SEMENOVA, Valeriy Yaroslavovich TROFIMETS, Elena Nikolaevna TROFIMETS
Method for Adjusting Current Appropriations under Irregular Funding Conditions ...828
Tatiana ALFEROVA, Olga ORESHINA, Inna V. UKRAINTSEVA
Rethinking of the Concept of Economic Systems Balance through Analysis of Disproportions of
Economic Growth in the Global Economy 841
M. Shabri ABD. MAJID, Zulfa Alvi VAKHIRA, Salina KASSIM
Do Conventional and Islamic Stock Markets Subject to Different Market Anomalies? Empirical
Evidences from Indonesia and Malaysia 848
Ivana ONDRIJOVÁ, Roman VAVREK, Jaroslav KOREČKO, Alžbeta SUHÁNYIOVÁ
Tax Administrative Costs in V4 Countries 857
Julia V. LYSHCHIKOVA, Anna V. ORLOVA, Yevgenia V. NIKULINA
Ensuring of Sustainable Socio-Economic Development of the Region on the Basis of Capitalization
and Economic Security 866
Tasnima NUR AZIZAH, Dias SATRIA, Setyo TRI WAHYUDI
The Impact of Macroeconomic Fundamentals on the Indonesian Sharia Stock Index 874
2
1
3
4
5
6
7
8
9
10
Volume XI, Issue 5(43) Fall 2016
Liliya Alexandrovna ZIMAKOVA, Svetlana Nikolaevna KOVALENKO, Alla Alexandrovna
UDOVIKOVA, Natalia Nikolaevna KRAVCHENKO, Victoria Borisovna MALITSKAYA
Accounting and Analytical Procurement of Predictive Appraisal of Synergistic Effect in Small
Business Construction Companies 882
Fernando CRUZ-ARANDA, Francisco ORTIZ-ARANGO, Agustín I. CABRERA-LLANOS
Project Valuation of a Distribution Centre of an Auxiliary Rail Freight Terminal: Using Real
Options with Fuzzy Logic and Binomial Trees 894
Evgeniy N. TISHCHENKO, Tatyana N. SHARYPOVA, Elena V. ZHILINA, Saveliy E. CHERKEZOV
Economic and Mathematical Modeling of Complex Cooperation of Academic Staff of Educational
Cluster on the Basis of Fuzzy Sets Theory 905
Tomáš HES, Haiyan SULAIMAN, Samuel MINTAH, Ali SALMAN
Comparison of Resource Related Sectors with Non-Resource Sectors from the Point of View
of Economic Growth and Dutch Disease Potential. Studied on the Case of Four Resource
Dependent Countries ...920
Arbër H. HOTI, Artor R. NUHIU, Arben DERMAKU
Evidence of Financial Crisis in the Banking Sector of the Republic of Kosovo 927
Nakhapu A. IBRAGIMOVA, Lyudmila N. PANKOVA, Valentina N. PARAKHINA,
Svetlana N. KALYUGINA, Gelani I. KHANALIEV
Differentiation of Regions of the Russian Federation as to Level of Budget Revenue Potential of
Municipal Entities 940
Halim TATLI
The Short- and Long-Term Relationship between Input and Output in the Turkish
Automotive Sector 954
Yuri GUSEV, Tatiana POLOVOVA, Inessa KARNAUKH
Strategic Focus as a Tool to Ensure Economic Stability and Security of Non-Financial Corporations
as Socio-Economic Systems in Modern Russian Economy 968
Peter BURGER
Comparison of Changes in the Shares of Public and Private Funds in Cluster Budgets after 2010 982
Ravil Gabdullaevich AKHMADEEV, Mikhail Evgenievich KOSOV, Olga Alekseevna BYKANOVA,
Ksenia Valerievna EKIMOVA, Svetlana Viktorovna FRUMINA, Natalia Vasilievna PHILIPPOVA
Impact of Tax Burden on the Country’s Investments 994
Anca Mădălina BOGDAN, Cristina POPÎRLAN
Dropshipping Accounting and Mathematical Models 1003
18
19
20
13
12
11
14
15
16
17
21
Journal of Applied Economic Sciences
Panel Analysis of the Influence of Macroeconomic Factors on the Household
Savings
Ján BULECA
Faculty of Economics, Technical University of Košice, Slovakia
jan.buleca@tuke.sk
Peter TÓTH
Faculty of Economics, Technical University of Košice, Slovakia
peter.toth@tuke.sk
Abstract:
The current deepening fall in real consumption is caused by slight increase in nominal disposable income, increased
inflation, as well as by the tax changes and developments in the savings rate. Looking at the savings rate in the Euro zone
different household responses could be observed. This paper focuses on monitoring of the development of disposable income,
household consumption and savings in the Visegrad Four countries in the period 20052014. The analysis covers impact of
selected macroeconomic indicators (gross domestic product, disposable income, inflation rate, and unemployment rate) on
volume of household savings using the panel regression. Within the analysis three models were used: pooling model (PM),
fixed effects model (FEM), and random-effects model (REM). Performance of the analysis proved that in all three models the
GDP has a statistically significant impact on household saving. The GDP increase by 1 million caused an increase in gross
domestic savings by 0.20464 million.
Keywords: consumption, savings, gross domestic product, unemployment rate, disposable income.
JEL Classification: E20, E21, E257.
1. Introduction
Family saving and assets building has the potential to promote well-being across the life span. Assets
symbolize household stability and serve as a safety net against unexpected life events (e.g. illness, unemployment,
divorce). Households' stability could be affected by households' financial behavior under changing macroeconomic
conditions. Saving represent one of the most important economic activity of households from both microeconomics
and macroeconomics point of view. At microeconomic level household savings ensure stable level of consumption
during the time of income reduction, aggregated household savings at macroeconomic level can be used as a
source of investments (Zhuk 2015). Savings accumulation is also an element that shapes the pension policy
system, particularly in the segment of individual, voluntary savings products that can be burdened with a
considerable value impairment risk, which results from macroeconomic factors (Pukela and Adamisin 2015). The
Korean households used to first purchase deposit or protection-type insurance, and then subscribe to private
pension plan or savings-type insurance (Choe 2008). Horioka, Suzuki and Hatta (2007) in their analysis of impact
of population aging on Japan’s household savings rate and on its public pension system have found, that the rapid
aging of Japan’s population is causing Japan’s household savings rate to decline and this decline can be expected
to continue. The family saving decision making procedure usually consists of four steps: a) whether to save or not;
b) how much to save; c) which savings tool to choose; and d) how to allocate savings in each tool (Choe 2008).
The main source of households' uncertainty comes from labor income generation, which is critically
determined by unemployment. Fuenzalida and Ruiz-Tagle (2009) stated that households' financial vulnerability
depends on their indebtedness levels and on the fragility of their income sources to be able to fulfil their obligations.
Analysis of the factors affecting savings decision making process showed, that the incomes from different sources
had different impacts on savings, and the risk tolerance also had a partial influence (Choe 2008). Zhuk (2015) in
his investigation of the most influential macroeconomic factors that determine household savings formation in
Ukraine proved that levels of such macroeconomic indicators as gross domestic savings, household consumption
expenditures and gross national income were of first order of integration and had unit root. Badun and Franic (2015)
examined the impact of selected macroeconomic indicators (wages, interest rate, stock exchange index, availability
of loans and unemployment rate) to the housing savings in Croatia within the period 20002013.
According to research of Harris, Loundes,and Webster (2002) provided in Australia, income and wealth are
positively and significantly related to the propensity for households to save, and the level of the interest rate has
little or no influence. They indicated also impact of age, pessimism in their outlook, home ownership, children and
their number, unemployment, disability, sole parent payments, and the area of residence. Horioka and Wan (2007)
Volume XI, Issue 5(43), Fall 2016
analyzed the determinants of the household saving rate in China for the 19952004 period. They found that China's
household saving rate has been high and rising and that the main determinants of variations are the lagged saving
rate, the income growth rate, (in many cases) the real interest rate, and (in some cases) the inflation rate. Chamon,
Liu and Prasad (2013) described markedly increased China's urban household saving rate since the mid-1990s as
well as the U-shaped the age-savings profile caused by rising income uncertainty and pension reforms. Modrakova,
Hetes and Soltes (2014) were analyzing saving on pension in Slovak conditions. Mishra and Chang (2011)
examined the factors affecting tax-deferred retirement savings among the farm households. Their results indicated
that demographic factors, total household income, off-farm work, and risk preference play important roles in
retirement savings plan participation. Retirement savings increase with household size, intensity of off-farm work
by farm operator and spouse, and size of farming operation. They found that the amount of retirement savings
decreases with operator's age and increases with spouse's age, and that cash grain and dairy farmers have lower
retirement savings. Analyses of Pukela and Adamisin (2015) indicated the increasing importance of insurances and
their role in shaping of household savings portfolios. Finlay and Price (2015) proved that households' saving ratios
tend to increase with income, but decrease with wealth and gearing. More at-risk households such as single-parent
and migrant households tend to save more than other households, all else being equal. Niculescu-Aron and
Mihaescu (2012) stated that economic growth reflected by percentage of GDP increase determines a decrease of
savings, since a 1% increase determines a 0.35% decrease of the saving rate. The inflation rate has a direct
influence on saving, a 1% change determining an almost 0.07% change in the same direction of saving rate. Adema
and Pozzi (2015) investigated the cyclicality of the household saving to household disposable income ratio for a
panel of 16 OECD countries over the period 19692012. They found that three main determinants of household
saving (i.e., unemployment risk, household wealth and credit constraints) have a significant impact on the
household saving ratio. Households' debt increased the importance of financial counselling and planning, and
financial education for households is getting more attention to improve the ability to financial management of
households (Kim 2015).The significant relationship between the savings and investments exists and the dynamic
of savings depends on the development of economy and vice versa (Bikas, (2008), Andrejovska and Banociova
(2013)). Results of Jongwanich (2010) provided in Thailand (19602004) suggest that an increase in economic
growth, inflation and terms of trade all have a significant positive impact on household and private saving rates. In
contrast, the availability of bank credit tends to reduce household and private saving rates. Furthermore, public
saving seems to crowd out household and private saving, but less than proportionately. This reflects a possible role
of fiscal policy in increasing national savings in the economy. Over and above these variables, corporate saving is
another important determinant of household saving. An increase in the former brings about a significant reduction
in the latter. Similar results were described in works of Hajdu, Andrejkovic and Mura (2014), Soltes and Gavurova
(2014), Banociova and Raisova (2012), Hakalová et al. (2014), Glova (2014), Mirdala (2014), and Michalski (2014).
Among the many factors that influence the saving propensity of the population, especially in Central and
Eastern Europe, the most visible ones were those concerning the security and stability of income, something
obvious in the context of the recession. During economic prosperity, families save money either because they have
an excess from the income increase or they anticipate significant gains from interests, either because they are
stimulated to save through adequate fiscal policies or/and they believe in the favorable evolution of the economy.
On the other hand, 2008 brought a shock for all European states, which determined major changes in the saving
behavior and the two groups of countries reacted differently. In Western Europe the saving rate decreased.
Journal of Applied Economic Sciences
Conclusion!
Income, savings and household wealth are widely discussed topics among professional and scientific
community, as well as participating public. Households participate in the entire national economy, and their
consumption and savings largely affect economic aspects of the whole country. Our study evaluated a ten-year
development and relationship of the volume of savings and macroeconomic determinants affecting them.
Understanding the impact of these factors is important not only for future economic planning and determination of
prognosis, but also for calibrating of risk, and setting the macroeconomic policy. Out analysis confirmed that GDP
had a positive impact on gross household savings. Unemployment had a negative impact on the savings; the
increase in the unemployment rate by 1 percentage point caused a drop in gross domestic savings by 969.70156
million. It remains questionable whether the expert discussions on future development trends and possible
modifications of design of our determinants could reach general consensus and consistency.
References
[1] Adema, Y., and Pozzi, L. 2015. Business cycle fluctuations and household saving in OECD countries: A panel
data analysis. European Economic Review, (79): 214233. DOI:10.1016/j.euroecorev.2015.07.014
[2] Andrejovska, A., and Banociova, A. 2013. Payment discipline in business environment. Procedia Economics
and Finance, 15: 1217-1224. DOI: 10.1016/S2212-5671(14)00581-4
[3] Aron, E.N., Aron, A., and Jagiellowicz, J. 2012. Sensory processing sensitivity: A review in the light of the
evolution of biological responsivity. Personality and Social Psychology Review, 16: 262-282.
[4] Badun, M., and Franic, J. 2015. The importance of government incentives for housing savings in Croatia.
Economic ResearchEkonomska Istrazivanja, 28(1): 331353. DOI:10.1080/1331677x.2015.1043777
[5] Banociova, A., and Raisova, M. 2012. Issues of Slovak business environment, Procedia Economics and
Finance, 3: 1223-1228. DOI: 10.1016/S2212-5671(12)00300-0
[6] Barro, R.J. 1996. Determinants of Economic Growth. NBER Working Paper, No. 5698, Cambridge MA.: National
Bureau of Economic Research, 118 p. [Online]. Available at: http://unpan1.un.org/intradoc/groups/
public/documents/apcity/unpan027110.pdf [Accessed 2016, May 1]
[7] Bikas, E. 2008. Lithuanian household savings behavior. Transformations in Business & Economics, 7(3):
154169.
[8] Boubtane, E., Coulibaly, D., and Rault, C. 2013. Immigration, unemployment and GDP in the host country:
Bootstrap panel Granger causality analysis on OECD countries. Economic Modelling, 33: 261-269.
[9] Carbone, E., and Hey, J.D. 2004. The effect of unemployment on consumption: An experimental analysis.
Economic Journal, 114(497): 660-683.
[10] Çiftçioğlu, S., Fethi S., and Begovic, N. 2007. The Impact of Net Inflows of Foreign Direct Investment on
Economic Growth, Unemployment and Openness: A Panel Data Analysis of nine Central and East European
Countries. The Journal of Global Business Management 3(2). [Online]. Available at:
http://www.jgbm.org/page/12%20Serhan%20Ciftcioglu.pdf [Accessed 2016, March 8]
[11] Chamon, M., Liu, K., and Prasad, E. 2013. Income uncertainty and household savings in China. Journal of
Development Economics, 105: 164177. DOI: 10.1016/j.jdeveco.2013.07.014
[12] Choe, H. 008. Decision Making for Savings of the Household. Journal of Consumer Studies, 19(4): 211237.
[13] Croissant, Y., and Millo, G. 2008. Panel data econometrics in R: The plm Package. Journal of Statistical
Software. [Online]. Available at: http://www.jstatsoft.org/v27/i02/paper. [Accessed 2016, May 3].
[14] Duca, J.V., and Muellbauer, J.N. 2013. Tobin lives: Integrating evolving credit market architecture into flow of
funds based macro-models. Working Papers 1307, Federal Reserve Bank of Dallas.
[15] Eurostat 2015. GDP and main components (output, expenditure and income) 2005Q1-2014Q4. [Online].
Available at: http://appsso.eurostat.ec.europa.eu/show.do?dataset=namq10gdp&lang=en.[Accessed 2016,
May 3].
Volume XI, Issue 5(43), Fall 2016
[16] Finlay, R., and Price, F. 2015. Household saving in Australia. B E Journal of Macroeconomics, 15(2): 677704.
DOI:10.1515/bejm-2014-0077
[17] Fuenzalida, M., and Ruiz-Tagle, J. 2009. Households' financial vulnerability. Economia Chilena, 12(2): 35-45.
[18] Glova, J. 2014. Country risk in the CESEE countries: a fundamental beta approach, Procedia Economics and
Finance, (15): 100107. DOI: 10.1016/S2212-5671(14)00453-5
[19] Hajdu, Z., Andrejkovic, M., and Mura, L. 2014. Utilizing experiments designed results during error identification
and improvement of business processes, Acta Polytechnica Hungarica, (11)2: 149166.
[20] Hakalova, J., Psenkova, Y., and Losova, M. 2014 First-time adoption of international financial reporting
standards for business corporations based in EU member state that are issuers of securities admitted to
trading on regulated market. Proceedings of the 2nd International conference on European integration, pp.
192201.
[21] Harris, M. N., Loundes, J., and Webster, E. 2002. Determinants of household saving in Australia. Economic
Record, 78(241): 207223.DOI:10.1111/1475-4932.00024
[22] Horioka, C. Y., Suzuki, W., and Hatta, T. 2007. Aging, savings, and public pensions in Japan. Asian Economic
Policy Review, 2(2): 303319. DOI: 10.1111/j.1748-3131.2007.00080.x
[23] Horioka, C. Y., and Wan, J. M. 2007. The determinants of household saving in China: A dynamic panel
analysis of provincial data. Journal of Money Credit and Banking, 39(8): 20772096. DOI: 10.1111/j.1538-
4616.2007.00099.x
[24] Hsiao, F.S., and Hsiao, M.C.W. 2006. FDI, exports, and GDP in East and Southeast Asia-Panel data versus
time-series causality analyses. Journal of Asian Economics, 17(6): 1082-1106.
[25] Jongwanich, J. 2010. The determinants of household and private savings in Thailand. Applied Economics,
42(8): 965976. DOI:10.1080/00036840701721067
[26] Kim, S. 2015. A Study on households' consumption and saving changes before and after the financial
counsellingFocusing on the level of debt of the households. Financial Planning Review, 8(1): 81106.
[27] Lipták, F., Klasová, S., and Kováč, V. 2015. Special Economic Zone Constitution According to Cluster
Analysis. Procedia Economics and Finance, 27: 186-193.
[28] Lusardi, A. 2015. Financial literacy: Do people know the ABCs of finance? Public Understanding of Science,
24(3): 260-271.
[29] Michalski, G. 2014. value maximizing corporate current assets and cash management in relation to risk
sensitivity: Polish firms case, Economic Computation and Economic Cybernetics Studies and Research,
(48)1: 259276.
[30] Mirdala, R. 2014. Periods of fiscal consolidation in selected European economies, Procedia Economics and
Finance, (15): 137-145. DOI: 10.1016/S2212-5671(14)00462-6
[31] Mishra, A. K., and Chang, H. H. 2011. Tax-deferred retirement savings of farm households: An empirical
investigation. Journal of Agricultural and Resource Economics, 36(1): 160176.
[32] Modrakova, E., Hetes, J., and Soltes, M. 2014. Analysis of saving on pension, Procedia Economics and
Finance, (15): 14131419. DOI: 10.1016/S2212-5671(14)00606-6
[33] Niculescu-Aron, I., and Mihaescu, C. 2012. Determinants of household savings in EU: What policies for
increasing savings? 8th International Strategic Management Conference, (58): 483492. DOI:
10.1016/j.sbspro.2012.09.1025
[34] Pécsyová, M., Vaňko, M., and Machlica, G. 2013. Determinanty miery úspor na Slovensku. [Online]. Available
at: http://www.nbs.sk/_img/Documents/_PUBLIK_NBS_FSR/Biatec/Rok2013/102013/03_biatec 13-
10pecsyova2.pdf [Accessed 2016, March 10]
Journal of Applied Economic Sciences
[35] Pukela, R., and Adamisin, P. 2015. Unit-linked insurances as an element that shapes the savings portfolio of
households in Poland after the accession to the European Union. European Financial Systems 2015:
Proceedings of the 12th International Scientific Conference, pp. 490497.
[36] Soltes, V., and Gavurova, B. 2014. Innovation policy as the main accelerator of increasing the competitiveness
of small and medium-sized enterprises in Slovakia, Procedia Economics and Finance, (15): 14781485. DOI:
10.1016/S2212-5671(14)00614-5
[37] Zhuk, M. 2015. Macroeconomic determinants of household savings in Ukraine. Economics & Sociology, 8(3):
4154.
*** R Core Team 2014. R: A language and environment for statistical computing. R Foundation for Statistical
Computing. [Online]. Available at: http://www.r-project.org/ [Accessed 2016, February 10]
Volume XI, Issue 5(43), Fall 2016
System Based Development of the Poultry Sector in Kazakhstan in Mid Term
Perspective
Ainur Yergazievna YESBOLOVA
A. Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan
yesbolova@gmail.com
Mariusz MACIEJCZAK
Warsaw University of Life Sciences, Warsaw, Poland
mariusz@maciejzak.pl
Saltanat Saparbaevna IBRAIMOVA
M. Auezov South Kazakhstan State University, Shymkent, Kazakhstan
ibraimova@gmail.com
Akmaral Lesbekovna AKHELOVA
M. Auezov South Kazakhstan State University, Shymkent, Kazakhstan
maralzhan@mail.ru
Zhanar Orazalievna SABDENOVA
M. Auezov South Kazakhstan State University, Shymkent, Kazakhstan
janar-s@mail.ru
Gulzhan Tohtargazyevna KUNAFINA
D. Serikbayev East Kazakhstan State Technical University, Ust-Kamenogorsk, Kazakhstan
kunafina@mail.ru
Abstract:
The paper is an attempt to present the current state and possible ways of development of the poultry sector in
Kazakhstan as a complex adaptive system. It also aims to forecast the possible development of this industry is mid-term
perspective. Additionally, it aims to propose the institutional measures that would enhance the development and
competitiveness of Kazakhstan’s poultry industry as a supply chain based integrated platform. The research is based on the
heterodox assumptions of deductive and descriptive reasoning, with the system approach, based on the secondary data
coming from various sources. Also various methods of the economic analysis, including the regression analysis and trend
models were applied. For this kind of analysis were used secondary data sources. As a primary method, there was applied a
multiple regression analysis to forecast the scale of the development of the poultry sector in Kazakhstan.
Keywords: economics, Kazakhstan, multiple factor analysis, poultry, supply chain platform.
JEL Classification: Q00, O13, F15, C69, O21.
1. Introduction
The current development of the agricultural sector in Kazakhstan is primarily aimed to ensure national food
security, with special focus on food quality and availability. However, as it was broadly described by Golubov (2010)
or Pomfret (2013), there are several problems with fulfilling these objectives, which come of technological, market
and institutional sources. To solve these problems, the Kazakh government undertook broad reforms in frames of
which assigned the important role to the domestic poultry industry, as one of the branches of agriculture, which is
dynamically developing in recent years. The poultry industry has been chosen as a sector from which in a fast way
the society could be supplied with valuable protein, due to the fact that other products of animal origin, i.e. milk are
also in shortage and their supply is much more limited. It is pre-assumed (Wieck et al. 2014) that it might be possible
to reduce sharpness in providing the population with production of animal husbandry products in the short time due
to increase in production of fowl and eggs, which will come not only from agricultural enterprises, but also from
peasant (private) farms and household’s plots (from the total amount of fowl production 94 % are made in
agricultural enterprises and 4% in household’s plots) (Yesbolova et al. 2015b).
Journal of Applied Economic Sciences
Conclusion
Poultry production in Kazakhstan is recognized as a promising and strategically important sector for ensuring
the country’s food security. Despite increase in production and considerable investments into poultry industry,
Kazakhstan still remains dependent on import of poultry production - more than a half of the consumed production
is imported to the country.
The analysis of the received results of processing of the questionnaire shows that the prices of the main
products of poultry farming significantly differ from the prices of different forms of trade, and over time the population
will prefer to do the purchases in supermarkets. And also for successful functioning on a sales market of fowl
necessary to create distributor networks with the developed transport infrastructure.
The conducted research shows that in general poultry industry in Kazakhstan is a perspective sector. In
mid-term perspective, this sector should be developed in a complex way. On one hand, the production (supply)
side should be enlarged and modernized, especially through economics of scale and specialization. On the other,
the demand side should be developed too, where special attention should be paid on price levels and distribution
channels.
Nonetheless it needs to be remembered that technological and economic incentives might not bring
expected results, if the institutional factors will not be implemented too. This is especially important with regard to
market information, which should be used to reduce the production and trade risk under the conditions not only of
national but also global competition.
References
[1] Akramov, K. T. 2011. International food prices, agricultural transformation, and food security in Central Asia.
Dev. Pract., 21: 741754.
[2] Arutyunyan, A.G. 2009. Development a company trade in poultry production. Agro-Industrial Complex:
Economy, Management, 3: 77-79.
[3] Golubov, I. 2010. Diversification in poultry sector. Pticevodstvo, 11: 2-4.
[4] Gataulin, A.M. 1990. Economic-mathematical methods for agricultural production planning. Textbook for
universities. Tashkent: Mekhnat Publishing
[5] Hatcher, L. 2013. Advanced Statistics in Research: Reading, Understanding, and Writing Up Data Analysis
Results. Shadow Finch Media LLC.
[6] Larsson, J.F. 2009. The Transition in Kazakhstan from Command to Market Economy. Master Thesis in
Department of Economics, Lund University.
[7] Pomfret, R. 2013. Kazakhstan's Agriculture after Two Decades of Independence. Central Asia Economic
Paper No. 6, Elliott School of International Affairs, George Washington University.
[8] Pomfret, R. 2008. Distortions to Agricultural Incentives in Kazakhstan. Distortions to Agricultural Incentives in
Europe’s Transition Economies. Anderson K., Swinnen J.F.M. (Eds.). World Bank, Washington DC, 219-264.
[9] Schmitz, A., and Meyers, W.H. (Eds.). 2015. Transition to Agricultural Market Economies: The Future of
Kazakhstan, Russia, and Ukraine. CABI (Commonwealth Agricultural Bureaux (CAB) International), pp. 72-
80.
[10] Smykov, R.A. 2009. Improvement of the economic mechanism of functioning of poultry subcomplex. Rural
Economics and the Overworking Enterprises, 4: 25-28.
[11] Syzdykov, R., Aitmambet, K., and Dautov A. 2015. Country report: Kazakhstan. Analytical Centre of
Economic Policy in Agricultural Sector. Astana.
[12] Tazhibaev, S., Yesbolova, A., and Musabekov, K. 2014. Issues in the Development of the Livestock Sector in
Kazakhstan. Procedia: Social and Behavioral Sciences, 143: 610-614.
[13] Thornton, P.K. 2010. Livestock production: recent trends, future prospects. Philos Trans R Soc Lond B BiolSci,
365(1554): 2853–2867. DOI: 10.1098/rstb.2010.0134
Volume XI, Issue 5(43), Fall 2016
[14] Wieck, C., Rudloff, B., and Heucher, A. 2014. Agri-investments and public spending in selected vulnerable
countries will they contribute to reduce food insecurity? Agricultural and Resource Economics, Discussion
Paper, 1, Institute for Food and Resource Economics, University of Bonn.
[15] Yesbolova, A., Ibraimova, S., and Akhelova, A. 2015a. Development of the regional market of poultry products
in Kazakhstan. Second International conference of industrial technologies and engineering (ICITE 2015) -
Shymkent, M. Auezov South Kazakhstan State University.
[16] Yesbolova, A., and Ibraimova, S. 2016b. Econometric Analysis of the Poultry Industry Development in
Kazakhstan. Indian Journal of Science and Technology, 9(20): 89-97. DOI: 10.17485/ijst/2016/v9i20/94489
[17] Yesbolova, A., Ibraimova, S., and Mergenbayeva, A.T. 2015c. Current state of poultry farming branch in
Kazakhstan Auezov readings. M. Auezov SKSU: Shymkent, 13: 143-146.
[18] Zhigalin, M. 1998. Problems of formation and economic development of a poultry sub complex (theory,
methodology, practice). MSKhA: Moscow, pp. 433.
*** Committee on Statistics of Republic of Kazakhstan. 2014. Statistical Yearbook.
*** DAMU Research Group. 2014. Prices of the poultry products in chosen retail channels. Report.
*** Ministry of Agriculture of the Republic of Kazakhstan. The Kazakhstan’s Master Plan for Poultry Meat Sector
Development till 2020. Available at: http://mgov.kz/programma-agrobiznes-2020/.
Journal of Applied Economic Sciences
Foreign Capital Inflows, Institutional Factors and Economic Growth. Evidences
from Republic of Yemen
Abduarhman SALIM ABDUALLAH BAHATTAB
School of Economics, Finance and Banking
College of Business, University Utara Malaysia
as_ba_ye@yahoo.com
Muhammad AZAM
Department of Management Sciences
Abdul Wali Khan University Mardan, KP- Pakistan
drazam75@yahoo.com
Laura GAVRILĂ
Faculty of Juridical, Economics and Administrative Sciences, Craiova
Spiru Haret University, Romania
laurastef73@gmail.com
Chandra EMIRULLAH
Public Finance Polytechnics, STAN Jakarta-Indonesia
cemirullah@yahoo.com
Abstract
The present study attempts to explore the effect of foreign capital inflows (i.e., Foreign Direct Investment (FDI), workers’
remittances and foreign aid), on economic growth for Republic of Yemen. We also examine the role of corruption and political
stability whether these factors have any impact on foreign capital inflows between 2003 and 2014. The empirical results reveal
that FDI inflows have a positive and significant effect, while workers’ remittances have insignificant impact on Yemen’s
economic growth.
However, results on the impact of corruption and political stability on economic growth are statistically insignificant.
The findings of the study suggest some policy implication, i.e. FDI and remittances need to be enhanced, while corruption
needs to be controlled and political stability be sustained in order to achieve sustainable economic growth and development.
Keywords: foreign capital inflows, institutional factors, Republic of Yemen.
JEL Classification: D7, F2, N15.
1. Introduction
Every state intends to achieve a higher level of economic growth and thereby improve social welfare.
Therefore, they look for ways to expedite the process of growth and economic development. In this regard, the role
of Foreign Capital Inflows (FCI) in the process of economic growth and development cannot be overlooked
particularly incoming FDI and remittances. Although, there are arguments about the effect of FCI on the economic
growth in developing countries, many research scholars opine that the components related to FCI affect the
domestic savings and economic growth negatively in the developing countries especially where there are poor
policies (Boone 1994, Enos and Griffin 1971, Khan et al. 1992, Papanek 1973). However, FCI serves as one of the
ways to support GDP just like the empirical assessment of importance of FCI to growth of economy in some host
countries (Balasubramanyam et al. 1996, Borensztein et al. 1998, Makki and Somwaru 2004). There is a widely
shared view that FCI fosters host countries growth by raising domestic savings and then transferring technology
from abroad. Moreover, FCI can increase competition in the host country's domestic market; and lastly, increase
exports due to increase of foreign exchange flow to the economy at large (Hsiao and Shen 2003). According to Kim
et al. (2007) in a convention, the developing countries welcomed FCI to fill the space existing between domestic
savings and investments to promote economic growth. However, some other studies have been criticized based
on general view that FCI hinders mobilization of economic growth and that of domestic savings.
Fundamentally, all developing countries are poor; hence they have lower income due to lower saving and
investment. Consequently, lower income leads to lower taxable capacity leading to low government expenditure.
Therefore, countries struggling to develop need to depend on FCI to make up for deficits in investment-saving and
balance of payment. Therefore, the developing countries need FCI for their development. For a number of
developing regions, the study of Driffield and Jones (2013) finds that the impacts of FDI inflows and remittances
Volume XI, Issue 5(43), Fall 2016
are encouraging as they largely stimulated economic growth during 1984-2007 based on unbalanced panel which
contains 5-year average. The study also observes that the foreign aid (official development assistance (ODA)) has
a negative effect on growth. However, the level of assistance from foreign economy is at variance from one country
to another. The size and conditions of the economy of a country are the main factors that affect the amount and
structure of FCI in a specific country, other studies find negative effects on some countries, (Orji et al. 2014). The
empirical results of Azam (2015) support the presence of positive and significant relationship between remittances
and economic growth for four Asian countries namely Bangladesh, Pakistan, Sri Lanka, and India during 1976-
2012. Tahir et al. (2015) find that incoming FDI and foreign remittance have significant positive roles in the process
of growth of Pakistan using data over the period 1977-2013. In a recent study, Azam et al. (2016) finds that both
FDI inflows and foreign remittances are important sources of economic growth for 12 countries from Europe and
Central Asia during 19932013.
Abdouli and Hammami (2015) investigate the relationship between FDI inflows, quality of environment and
economic growth of capital stock across 17 countries from Middle East and North African (MENA) including Yemen
during 1990-2012. The empirical results indicate that an increase in incoming FDI and capital stock promotes the
process of economic growth in MENA countries. However, in particular, FDI inflows to Yemen have insignificant
impact on economic growth.
Similarly, the role of the institutional factors is highly indispensable for the economic growth and
development. The study of Mauro (1995) observes corruption and investment have a negative association and
thereby affect negatively economic growth. Catrinescu et al. (2009) find that institutional environment covering
political stability and corruption is affecting volume and effectiveness of investment. Moreover, remittances can be
done in a more efficient manner in the presence of good institutions and therefore get a high result in return. Aisen
and Veiga (2013) suggest that a higher degree of political instability is associated with lower growth rates of GDP
per capita. Azam and Emirullah (2014) also find that high cost of doing business and inequality due to high
corruption lead to a decrease in investment and at the end have a negative impact on economic growth.
According to Haan (2014), there are a lot of challenges to economic development in the future of Yemen
economy. Instability in politics continuously affects all sectors in the government alongside challenges of security.
In addition, there are tough economic issues and political challenges in Yemen. Political stability plays an important
role and positively affects FDI inflows and the growth of economy in Yemen (Musibahet al. 2015).
The statistics show that the highest component of FCI to Yemen is workers remittances during 2003-2013
then followed by ODA and FDI respectively. Remittances achieved the highest amount, more than USD 3.3 billion
in 2012. Also, ODA reached around USD 1 billion in 2013 and the highest magnitude for FDI was in 2008, almost
USD 1.50 billion. The most shocking aspect of the issue is FDI which started by a negative value in the period
under study and also has continued in the negativity since Arab spring in 2011. However, FCI in FDI form fluctuated
over the period under this study although the best period for FDI to Yemen in the period between 2006 and 2008.
On other hand, ODA increased slowly and worker remittances rose sharply from 2011 (World Development
Indicators 2015).
The Republic of Yemen has relatively allowed level of income due to low savings and investments and
thereby lower revenue of the government. Consequently, government is not in a good position to have more
resources for the development of Yemen. In a study,Casper (2014) mentions that the present condition of poverty
in Yemen is a result of high level of corruption in the system of politics. Researchers have shown that Yemen is a
country which is continuously politically corrupt on a large scale and multitude of levels. Therefore, the present
study is an effort to explore the relationships between FCI and economic growth, while considering the role of
institutional factors namely corruption and political stability. This study is different in terms of the portfolio of
explanatory variables, time period and methodology. It is expected that outcomes of the study will guide policy
makers of Yemen.
The remaining study is organized as follows: Section 2 deals with data and empirical methodology used in
the study. Section 3 interprets the empirical results. Section 4 concludes the study.
1%,5% and 10% respectively.
Journal of Applied Economic Sciences
Conclusion and policy recommendations
The aim of the present study is to evaluate the impact of FCI on economic growth in Republic of Yemen
over the period 2003-2014. Additionally, it examines the effect of institutional factors namely corruption and political
stability on Yemen’s economic growth. The OLS shows that FDI inflows and ODA have positive impact on the
economic growth, while workers’ remittances have a negative impact on economic growth. Similarly, the effect of
institutional factors, corruption and political stability are found statistically weak.
However, these results have some important policy implications. Policy makers need to create sound
environment to attract more FDI into the country. The FDI can be utilized to enhancing domestic production, and
volume of exports. It will help in increasing the use of new technology and learning and also provide access to
external market. The government should speed up the improvement of infrastructure which is an important factor
for attracting foreign investors. The government of Yemen needs to encourage the local industries and reduce
imported goods. However, consuming local products may reduce the negative impact of personal remittances or
may change it to positive effect in future which will lead Yemen to get positive balance trade. Indeed, Yemen needs
a business environment which is conducive to the needs of businesses. In general, foreign investors don’t look for
fiscal concessions or special incentives but they look for investor-friendly official procedures, rules and regulations,
clearance, no corruption, political stability and opportunities in Yemen. In fact, this can be achieved only if Yemen
implements its new generation of reforms in totality and in right direction.
In light of current situation in Yemen, the role of political stability including security cannot be taken for
granted, however. It will increasingly become an important factor in order to create a conducive environment to
attract more FDI and hence promote economic growth. Thus, the leaders and policymakers should make every
effort to create political stability and good governance as well as secure and peaceful condition and situation to
establish sound investment climate in the country.
References
[1] Abdouli, M., and Hammami, S. 2015. The impact of FDI inflows and environmental quality on economic growth:
an empirical study for the MENA countries. Journal of the Knowledge Economy, pp. 1-25. First online: 29
October 2015. DOI: 10.1007/s13132-015-0323-y
[2] Aisen, A., and Veiga, F. J. 2013. How does political instability affect economic growth? European Journal of
Political Economy, 29: 151-167. DOI: 10.1016/j.ejpoleco.2012.11.001
[3] Aizenman, J., Jinjarak, Y., Park, D. 2013. Capital flows and economic growth in the era of financial integration
and crisis, 1990-2010. Open Economies Review, 24(3): 371-396. DOI: 10.1007/s11079-012-9247-3
[4] Azam, M., Shahbaz, M., Kyophilavong, P., and Abbas, Q. 2016. External sources and economic growth-the role
of foreign remittances: Evidence from Europe and Central Asia. The Journal of Developing Areas, 50(2): 367-
387.
[5] Azam, M., and Gavrila, L. 2015. Inward foreign capital flows and economic growth in African countries. Journal
of Applied Economic Sciences, Volume X, 3(33): 362-371.
[6] Azam, M. 2015. The role of migrant workers’ remittances in fostering economic growth: The four Asian
developing countries’ experiences. International Journal of Social Economics, 42(8): 690-705. Available at:
http://dx.doi.org/10.1108/IJSE-11-2013-0255
[7] Azam, M., and Ahmed, A. M. 2015. Role of human capital and foreign direct investment in promoting economic
growth: evidence from Commonwealth of Independent States. International Journal of Social Economics, 42(2):
98-111. Available at: http://dx.doi.org/10.1108/IJSE-05-2014-0092
[8] Azam, M. 2014. Foreign aid and economic growth: lessons for Pakistan. Journal of Applied Economic Sciences,
Volume IX, 2 (28): 165-180.
[9] Azam, M., and Emirullah, C. 2014. The role of governance in economic development: Evidence from some
selected countries in Asia and the Pacific. International Journal of Social Economics, 41(12): 1265-1278.
Available at: http://dx.doi.org/10.1108/IJSE-11-2013-0262
[10] Balasubramanyam, V. N., Salisu, M., and Sapsford, D. 1996. Foreign direct investment and growth in EP and
IS countries. The Economic Journal,106(434): 92-105. DOI: 10.2307/2234933
Volume XI, Issue 5(43), Fall 2016
[11] Baldi, G., and Miethe, J. 2015. Foreign direct investment and economic growth. Department Forecasting and
Economic Policy, DIW Berlin working paper. Retrieved from http://www.diw.de/documents/
publikationen/73/diw_01.c.510103.de/DIW_Roundup_71_en.pdf
[12] Boone, P. 1994.The impact of foreign aid on savings and growth. London School of Economics and Political
Science, Centre for Economic Performance.
[13] Borensztein, E., De Gregorio, J., and Lee, J.-W. 1998. How does foreign direct investment affect economic
growth? Journal of International Economics, 45(1): 115-135. DOI:10.1016/S0022-1996(97)00033-0
[14] Casper, G. R. 2014. Poverty: Inhibitor of Yemeni Revolution. University of North Georgia, retrieved from
http://digitalcommons.northgeorgia.edu/cgi/viewcontent.cgi?article=1245&context=ngresearchconf
[15] Catrinescu, N., Leon-Ledesma, M., Piracha, M., and Quillin, B. 2009. Remittances, institutions, and economic
growth. World Development, 37(1): 81-92. DOI: 10.1016/j.worlddev.2008.02.004
[16] Driffield, N., and Jones, C. 2013. Impact of FDI, ODA and migrant remittances on economic growth in
developing countries: A systems approach. European Journal of Development Research, 25(2): 173-196.
DOI: 10.1057/ejdr.2013.1
[17] Enos, J., and Griffin, K. B. 1971. Foreign assistance: Objectives and consequences: A reply to our critics.
Economic Development and Cultural Change, 20(1): 55-158. Stable URL: http://www.jstor.org/
stable/1152811
[18] Ghoneim, A. F., and Ezzat, A. M. 2014. Growth and corruption in Arab countries: what type of relationship
connects them? Paper presented at Law and Economics Conference, Ankara/Turkey, 25-26 April 2014
[19] Haan, J.D. 2014. Yemen: factors behind possible economic and political collapse. The Australian Policy
Online. Retrieved from http://apo.org.au/resource/yemen-factors-behind-possible-economic-and-political-
collapse
[20] Hsiao, C., and Shen, Y. 2003. Foreign direct investment and economic growth: The importance of institutions
and urbanization. Economic Development Cultural Change, 51(4): 883896. DOI: 10.1086/375711
[21] Khan, A. H., Hasan, L., Malik, A., and Knerr, B. 1992. Dependency ratio, foreign capital inflows and the rate
of savings in Pakistan. The Pakistan Development Review, 4(31): 843-856.
[22] Kim, S., Kim, S.H., and Wang, Y. 2007. Saving, investment and international capital mobility in East Asia.
Japan and World Economy, 19 (2): 279-291. DOI: 10.1016/j.japwor.2006.05.001
[23] Kunieda, T., Okada, K., and Shibata, A. 2014. Corruption, capital account liberalization, and economic
growth: Theory and evidence. International Economics, 139: 80108. DOI: 10.1016/j.inteco.2014.03.001.
[24] Lessmann, C., and Markwardt, G. 2012. Aid, growth and devolution. World Development, 40(9): 1723-1749.
DOI: 10.1016/j.worlddev.2012.04.023
[25] Makki, S. S., and Somwaru, A. 2004. Impact of foreign direct investment and trade on economic growth:
Evidence from developing countries. American Journal of Agricultural Economics, 86(3): 795-801. DOI:
10.1111/j.0002-9092.2004.00627.x
[26] Mauro, P. 1995. Corruption and growth. The Quarterly Journal of Economics, 110(3): 681-712. DOI:
10.2307/2946696
[27] Musibah, A. S., Shahzad, A., and Fadzil, F. H. B. 2015. Impact of foreign investment in the Yemen's economic
growth: the country political stability as a main issue. Asian Social Science, 11(4): 102-114. Available at:
http://dx.doi.org/10.5539/ass.v11n4p102
[28] Orji, A., Uche, A. S., and Ilori, E. A. 2014. Foreign capital inflows and growth: an empirical analysis of WAMZ
experience. International Journal of Economics and Financial Issues, 4(4): 971-983.
[29] Papanek, G. F. 1973. Aid, foreign private investment, savings, and growth in less developed countries. The
Journal of Political Economy, 81(1): 120-130. Stable URL: http://www.jstor.org/stable/1837329
Journal of Applied Economic Sciences
[30] Tahir, M., Khan, I., and Shah, A. M. 2015. Foreign remittances, foreign direct investment, foreign imports and
economic growth in Pakistan: a time series analysis. Arab Economic and Business Journal, 10(2): 82-89. DOI:
10.1016/j.aebj.2015.06.001
*** World Development Indicators 2015, the World Bank database. Retrieved from http://data.worldbank.org/
country/yemen-republic
*** World Governance Indicators 2015, the World Bank database. Retrieved from http://data.worldbank.org/ data-
catalog/worldwide-governance-indicators
Volume XI, Issue 5(43), Fall 2016
Improving the Efficiency of Socio-Economic Development of Mono-towns in the
Republic of Kazakhstan based on the Development Strategies
Lesbek TAIZHANOV
A.Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan
taizhanov1988@mail.ru
Ulmeken MAKHANBETOVA
A.Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan
maxan_ulmeken@mail.ru
Borash MYRZALIEV
A.Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan
borash2006@mail.ru
Gulmira AZRETBERGENOVA
A.Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan
gulag@mail.ru
Ainura SAPAROVA
A.Yassawi International Kazakh-Turkish University, Turkistan, Kazakhstan
saynura1977@mail.ru
Abstract:
Due to the potential threat of socio-economic crisis and degradation of single-industry towns in the Republic of
Kazakhstan, the purpose of the article is to develop a conceptual approach to the formation of optimal development strategies
of mono towns considering the level of their current socio-economic development. Method for contrast of means was the
methodological basis of the study which allowed revealing direct proportion of social and economic development trends in
mono towns as of 2015. Using expert method, we have formed a sample to determine the integrated index of social and
economic development of mono towns and on the basis of principal component analysis we have established the extent of
their influence on the intensity of their development. Using matrix approach mono town were differentiated by strategic areas
of their socio-economic development in the modern conditions. Matrix of ongoing socio-economic development directions of
mono towns was formalized during the study, differentiating territorial entities according to their level of socio-economic
development as of 2015. The proposed strategies reflect a new approach in the system of strategic management of regional
development, since it is based on the peculiarities of the actual development of mono towns in direct proportion to the levels
of mono towns’ socio- economic development.
Keywords: development strategy of mono towns, matrix of socio-economic development strategies, mono towns, socio-
economic development efficiency.
JEL Classification: P35, R13, G38.
1. Introduction
Stable economic development of a country is provided by a stability of the regional system, the basic
structural element of which is cities. Reforming and development of the economy of the Republic of Kazakhstan
facilitated the emergence of a special category of cities, the so-called single-industry towns (mono towns). Currently
27 cities out of 86 operating cities in the country have the status of a mono townalmost every third city with a total
resident population constituting 16.8% of the country’s urban population (Ministry of National Economy of the
Republic of Kazakhstan 2015). In modern conditions, economic development of mono towns in the Republic of
Kazakhstan is characterized by the outdated structure of regional production, high level of depreciation of
equipment, networks and systems, low level of qualification of employed population, weakness of the local budgets.
The basis of mono town is local economic mainstay, forming non-diversity of such settlements, which, in turn, cause
dependence of all spheres of livelihood of the population on the economic situation of the company and its financial
and economic results. With the growth of mono town population over the past decade by 150% in parallel with the
decline in industrial production by 15% and decreasing level of investment in fixed assets by 36% as of 03.01.2016,
the potential threat of socio-economic crisis and social degradation of environment in these territorial entities is
forming (Ministry of National Economy of the Republic of Kazakhstan 2015).
Journal of Applied Economic Sciences
Conclusion
Thus, the developed conceptual approach to determining strategic directions of monotown development as
exemplified by RK represents a new approach in the management system of non-diversified territorial entities
development. A distinctive advantage of this approach from the generally accepted approaches used in practice
and presented in theory is the differentiated approach to working out strategic directions of monotown development.
Based on accounting the current level and the effect of the interdependence of social and economic development,
monotowns are grouped by type of strategic development based on the matrix “index of economic development of
a monotown”“index of social development of a monotown”. This approach allowed arguingthe peculiarity of state
of their socio-economic development and identifying current strategies of development: “Development despite the
Growing Negativity” (high level of social development/low level of economic development); “Medalists" (high level
of social development/high level of economic development); “Contradiction” (low level of social development/high
level of economic development); “Catastrophe” (low level of social development/low level of economic
development). The ability to determine the current strategies for socio-economic development of monotowns
allowed developing advanced strategies of RK monotowns’ socio-economic development on a case-by-case basis
in order to increase their effective functioning.
The conceptual approach to the formation of monotown development strategies, designed in the study,
serves as a basis for improvement of theoretical and methodological bases of management of regions development.
It promotes reasonable determination of the priorities of the state policy in the field of funding of multi-territorial
entities with regard to their socio-economic importance.
References
[1] Amanbekov, N. 2015. Specifics of Labor Market of Monotowns in the Republic of Kazakhstan. Asian Social
Science, 11 (19). DOI: 10.5539/ass.v11n19p257
[2] Anchorena, J., and Anjos, F. 2015. Social ties and economic development. Journal of Macroeconomics, 45:
63-84. DOI: 10.1016/j.jmacro.2015.04.004
[3] Cegarra-Navarro, J.-G., Reverte, C., Gómez-Melero E., and Wensley, A.K.P. 2016. Linking social and
economic responsibilities with financial performance: The role of innovation. European Management Journal,
in Press. DOI: 10.1016/j.emj.2016.02.006
[4] Cheymetova, V.A., and Nazmutdinova, E.V. 2015. Socio-Economic Potential of the Region and Its Evaluation.
Asian Social Science, 11, 7.
[5] Cowell, M.M. 2013. Bounce back or move on: Regional resilience and economic development planning. Cities,
30: 212-222. DOI: 10.1016/j.cities.2012.04.001
[6] Cvetkova, I. 2013. The image of the Russians in the context of modernization monocity. Concept: Scientific
and Methodological e-Magazine, 7: 46-50.
[7] Dampier, J.E.E., Shahi, C., Lemelin, R.H., and Luckai, N. 2016. Assessment of potential local and regional
induced economic impact of an energy policy change in rural Northwestern Ontario, April. DOI:
10.1186/s13705-016-0079-7
[8] Dobrovičová, S., Dobrovič R., and Dobrovič, J.2015. The Economic Impact of Floods and their Importance in
Different Regions of the World with Emphasis on Europe. Procedia Economics and Finance, 34: 649-655.
DOI:10.1016/S2212-5671(15)01681-0
[9] Dubnitskiy, V.I., and Lunina, V.Yu. 2015. Development of single-industry towns on the basis of cluster
approach. Marketing ì Menedžment Innovacìj, 6 (3): 140-148.
[10] Fritz, M., and Koch, M. 2016. Economic development and prosperity patterns around the world: Structural
challenges for a global steady-state economy. Global Environmental Change, 38: 41-48. DOI:
10.1016/j.gloenvcha.2016.02.007
[11] Goschin, Z. 2015. Regional Divergence in Romania Based on a New Index of Economic and Social
Development. Procedia Economics and Finance, 32: 103-110. DOI:10.1016/S2212-5671(15)01370-2
[12] Kaufmann, P.R. 2016. Integrating factor analysis and the Delphi method in scenario development: A case
study of Dalmatia, Croatia. Applied Geography, 71: 56-68. DOI: 10.1016/j.apgeog.2016.04.007
Volume XI, Issue 5(43), Fall 2016
[13] Krasavin, E.M., and Krasavina, R.A. 2015. Industrial Region: Evolutionary and Innovational Ways of Creation
of Competitive Advantages. Asian Social Science, 11, 6.
[14] Kryukova, E.M. et al. 2015. Social-Economic Problems of Russian Mono-Towns. Asian Social Science, 11, 1.
[15] Kuznetsov, M.P., and Strijov, V.V. 2014. Methods of expert estimations concordance for integral quality
estimation. Expert Systems with Applications, Volume 41, 4(2): 1988-1996. DOI: 10.1016/j.eswa.2013.08.095
[16] Leksin, V.N. 2015. Regional reality and regional studies. Regional Research of Russia, 5 (2): 97-108.
[17] Lenkova, O.V. et al. 2014. Managing Sustainable Development of Socio-Economic Systems. Asian Social
Science, 10, 24.
[18] Leonard, C.S., Yanovskiy, K.M., and Shestakov, D. 2014. How Democracy Could Cause Economic Growth:
The Last 200 Years: Gaidar Institute for Economic Policy Working Papers, 0106.
[19] Malganova, I., and Zagladina, H. 2015. Instrumental and Methodological Approaches to Research of Socio -
Economic Development of the Region. Procedia Economics and Finance, 27: 64-68. DOI:10.1016/S2212-
5671(15)00972-7
[20] Malganova, I., and Zagladina, H. 2015. Regional Socio-economic Development on the Basis of Scenario
Forecasting Method. Procedia Economics and Finance, 24: 371-375. DOI:10.1016/S2212-5671(15)00683-8
[21] Marcin, K. 2013. Intellectual Capital as a Key Factor of Socio-economic Development of Regions and
Countries. Procedia Economics and Finance, 6: 288-295. DOI:10.1016/S2212-5671(13)00142-1
[22] Marconi, N., Fróes de Borja Reis, C., and Cristina de Araújo, E. 2016. Manufacturing and economic
development: The actuality of Kaldor’s first and second laws. Structural Change and Economic Dynamics, 37:
75-89. DOI: 10.1016/j.strueco.2015.12.002
[23] Myrzaliyev, B. 2013. Socio-economic development of small and non-diversified towns. Monograph. Almaty.
[24] Nikulina, I.E., and Khomenko, I.V. 2015. Interdependence of Demographic and Economic Development of
Regions. Procedia - Social and Behavioral Sciences, 166 (7): 142-146. DOI: 10.1016/j.sbspro.2014.12.499
[25] Orazymbetova, D. 2014. Present-Day Challenges for and Postulates of the Regional Policy of the Republic of
Kazakhstan. European Researcher, 79 (7-2): 1351-1356. DOI 10.13187/er.2014.2.1351.
[26] Palevičienė, A., and Dumčiuvienė, D. 2015. Socio-Economic Diversity of European Regions: Finding the
Impact for Regional Performance. Procedia Economics and Finance, 23: 1096-1101. DOI: 10.1016/S2212-
5671(15)00431-1
[27] Rusu-Tanasă, M. 2015. Intellectual Capital a Strategic Factor of Socio-Economic Development of Regions and
Countries. Procedia Economics and Finance, 27: 369-374. DOI: 10.1016/S2212-5671(15)01008-4
[28] Shastitko, A., and Fakhitova, A. 2015. Monotowns: A New Take on the Old Problem. Baltic Region, 1: 4-24.
DOI: 10.5922/2079-8555-2015-1-1
[29] Treivish, A.I., Zotova, M.V., and Savchuk, I.G. 2014. Types of cities in Russia and across the globe. Regional
Research of Russia, 4(2): 90-94.
[30] Vertakova, Y., Polozhentseva, Y., and Klevtsova, M. 2015. The Formation of the Propulsive Industries of
Economic Development Acting as the Growth Poles of Regions. Procedia Economics and Finance, 24: 750-
759. DOI: 10.1016/S2212-5671(15)00690-5
[31] Wolf, S. et al. 2013. A multi-agent model of several economic regions. Environmental Modelling & Software,
44: 25-43. DOI: 10.1016/j.envsoft.2012.12.012
[32] Yushkov, A. 2015. Fiscal decentralization and regional economic growth: Theory, empirics, and the Russian
experience. Russian Journal of Economics, 1 (4): 404-418. DOI: 10.1016/j.ruje.2016.02.004
*** Ministry of National Economy of the Republic of Kazakhstan (2015). The official Internet resource of the Ministry
of National Economy of the Republic of Kazakhstan. Statistics Committee.
*** On approval of the Regional Development Program until 2020. Resolution of the Government of the Republic
of Kazakhstan from June 28, 2014 No. 728. The information-legal system of normative legal acts of the Republic
of Kazakhstan.
Journal of Applied Economic Sciences
*** On measures to implement the President's Address to the people of Kazakhstan dated December 14, 2012
“Strategy Kazakhstan - 2050”. The Republic of Kazakhstan President’s Decree of 18 December 2012 No. 449.
The information-legal system of normative legal acts of the Republic of Kazakhstan.
Volume XI, Issue 5(43), Fall 2016
Method for Adjusting Current Appropriations under Irregular Funding Conditions
Aleksandr Mikhaylovich BATKOVSKIY
Joint Stock Company Central Research Institute of Economy
Management and Information Systems, “Electronics”, Moscow, Russia
batkovskiy_a@instel.ru
Alena Vladimirovna FOMINA
Joint Stock Company Central Research Institute of Economy
Management and Information Systems “Electronics”, Moscow, Russia
fomina_a@instel.ru
Elena Georgievna SEMENOVA
Institute of Innovative and Basic Postgraduate Education
St. Petersburg State University of Aerospace Instrumentation, St. Petersburg, Russia
egsemenova@mail.ru
Valeriy Yaroslavovich TROFIMETS
Saint-Petersburg University of State Fire Service of Emercom of Russia, Russia
zemifort@inbox.ru
Elena Nikolaevna TROFIMETS
Saint-Petersburg University of State Fire Service of Emercom of Russia, Russia
еzemifort@inbox.ru
Abstract:
The study suggests using the indicators that characterize the process of funding to equation the problem of adjusting
current appropriations under irregular funding pattern. The principal assumption of the methodology is that the proportionality
of the residual unpaid part of the limit for each project to be funded should be observed. This requirement is stipulated by
practical considerations and explained by the necessity to implement a whole number of projects whose component parts are
included into a large scale project (program). The methodology solves the problem of adjusting funds distribution between the
projects to be funded based on the profiles that have been formed at the earlier stages of funding. However, for the first stage
of funding, the retrospective distribution profiles are not available; therefore, the additional task has been set to solve the
optimization problem of redistributing current fund allocations without taking into account the retrospective distribution profiles.
The compromise principle is represented by the fair concession principle that solves the problem of multi-objectiveness in a
radical way by applying the convolution of the set of criteria to obtain one integrated criterion. Practical applications of the
developed indicators and methods have been illustrated by a number of examples.
Keywords: funding, resource allocation problem, financial modeling, mathematical programming, multi-objectiveness.
JEL Classification: L10, O22, O29.
1. Introduction
Dynamic influence of the internal and external factors, many of which have a random and often indefinite
nature, cause the need in correction of allocating funds between financing objects with account of the currently
shaping situation. If the project manager has an amount of money enough for financing each object in the project
(subproject) at his/her disposal, then the task of current allocation is irrelevant and solved automatically. The deficit
situation is considerably more difficult when the total volume of the demand for financing exceeds the amount of
money available to the manager. In this case, the problem of adjusting the current assignments becomes nontrivial.
There are no universal recommendations here. The method for adjustment of the current assignments based on
the optimization model of smoothing out the discrepancy of cash proceeds at the previous funding stages will be
discussed below.
Journal of Applied Economic Sciences
Conclusion
Basic criteria of rationality in distributing the currently allocated monetary means are represented by the
proportionality of the residual unpaid part of the limit of each object of funding upon each scheduled operation of
distribution and by the regular pattern of allocating funds for each project to be funded. The requirement that the
objects should be funded in a proportional manner is, as a rule, predetermined by the necessity to perform the
activities in different areas in parallel and also by the complex nature of these activities. Applying the criterion of
regularity to funding improves operational efficiency, and, consequently, the quality of the project implementation
management.
The list of the criteria of the problem under consideration would not have been exhaustive if the current
priorities of the objects of funding were not taken into account. They should be defined, for instance, for the cases
when some important or urgent activities have to be performed.
Acknowledgements
The study has been developed with support from Russian Science Foundation (Project RSF No. 14-18-
00519).
References
[1] Antoniou, A., and Lu, W.S. 2007. Practical Optimization. Algorithms and Engineering Applications. Springer.
DOI: 10.1007/978-0-387-71107-2
[2] Arora, R.K. 2015. Optimization: Algorithms and Applications. CRC Press.
[3] Bahmani, S. 2014. Algorithms for Sparsity-Constrained Optimization. Springer. DOI: 10.1007/978-3-319-
01881-2
[4] Bui, L.T., and Alam, S. 2008. Multi-Objective Optimization in Computational Intelligence: Theory and Practice.
Information Science Reference.
[5] Byrne, C.L. 2014. A First Course in Optimization. New York: Taylor & Francis Group/CRC. ISBN
9781482226560 - CAT# K22492.
[6] Chong, E.K.P., and Zak, S.H. 2013. An Introduction to Optimization. Wiley. ISBN: 0-471-39126-3.
[7] Cornuejols, G., and Tutuncu, R. 2006. Optimization Methods in Finance. Pittsburgh. Carnegie Mellon
University. ISBN-10: 0521861705
[8] Craven, B.D., and Islam, S.M.N. 2005. Optimization in Economics and Finance: Some Advances in Non-
Linear, Dynamic and Stochastic Models. Springer. DOI: 10.1007/b105033
[9] Doumpos, M., and Zopounidis, C. 2014. Multicriteria Analysis in Finance. Springer. DOI: 10.1007/978-3-319-
05864-1
[10] Durea, M., and Strugariu, R. 2014. An Introduction to Nonlinear Optimization Theory. De Gruyter Open. ISBN:
978-3-11-042603-8.
[11] Eiselt, H.A., and Sandblom, C.L. 2013. Operations Research: A Model-Based Approach. Springer. DOI:
10.1007/978-3-642-31054-6
[12] Fujisawa, K., Y. Shinano, and Waki, H. 2015. Optimization in the Real World: Toward Solving Real-World
Optimization Problems. Springer. DOI: 10.1007/978-4-431-55420-2
[13] Grad, S.M. 2015. Vector Optimization and Monotone Operators via Convex Duality: Recent Advances.
Springer. DOI: 10.1007/978-3-319-08900-3
[14] Hillier, F.S., and Lieberman, G.J. 2014. Introduction to Operations Research. McGraw Hill Higher Education.
ISBN 0-07-232169-5.
[15] Lange, K. 2013. Optimization. Springer. DOI: 10.1007/978-1-4614-5838-8
[16] Larichev, O.I., and Olson, D.L. 2001. Multiple Criteria Analysis in Strategic Siting Problems. Boston, Kluwer
Academic Publishers. DOI: 10.1007/978-1-4757-3245-0
Volume XI, Issue 5(43), Fall 2016
[17] Nogin, V.D. 2002. Decision-making in multicriteria environment: a quantitative approach. Moscow: Fizmatlit.
[18] Ouardighi, F.E.I., and Kogan, K. 2013. Models and Methods in Economics and Management Science.
Springer. DOI: 10.1007/978-3-319-00669-7
[19] Podinovskiy, V.V. 2007. Introduction to the theory of the importance of criteria in multicriteria decision
problems. Moscow: Fizmatlit. ISBN 978-5-9221-0743-3.
[20] Saaty, T.L., and Vargas, L.G. 2013. Decision Making with the Analytic Network Process: Economic, Political,
Social and Technological Applications with Benefits, Opportunities, Costs and Risks. Springer. DOI:
10.1007/978-1-4614-7279-7
[21] Taha, Н. 2010. Operations Research: An Introduction. 9th Edition. Pearson. ISBN-10: 013255593X.
[22] Tang, K.S. 2012. Multiobjective Optimization Methodology: A Jumping Gene Approach. CRC Press. ISBN
9781439899199 - CAT# K14344.
[23] Urubkov A.R. 2006. MBA course on optimization of management decisions. Practical guidance on the use of
linear programming models. Moscow: Alpina Biznes Buks. ISBN 5-9614031-8-1: 122.84.
[24] Wagner, H. 1975. Principles of Operations Research. 2nd Ed. NJ Upper Saddle River: Prentice Hall.
[25] Xidonas, P. et al. 2012. Multicriteria Portfolio Management. Springer. DOI: 10.1007/978-1-4614-3670-6
[26] Zelinka, I., Snasel, V., and Abraham, A. 2012. Handbook of Optimization: From Classical to Modern Approach.
Springer. DOI: 10.1007/978-3-642-30504-7
[27] Zolotarjov, A.A. 2014. Methods of Optimization of Distribution Processes. Moscow: Infra-Inzheneriya.
[28] Zopounidis, C., and Pardalos, P.M. 2010. Handbook of Multicriteria Analysis. Springer. DOI: 10.1007/978-3-
540-92828-7
Journal of Applied Economic Sciences
Rethinking of the Concept of Economic Systems Balance through Analysis of
Disproportions of Economic Growth in the Global Economy
Tatiana ALFEROVA
Department of Management, Perm Institute of Economics and Finance1, Russia
talferova@pief.ru
Olga ORESHINA
Volgograd State University2, Russia
olgaoreshina@mail.ru
Inna V. UKRAINTSEVA
Department of International Trade and Customs Affairs
Rostov State University of Economics3 (RINH), Russia
iukr1996@rambler.ru
Abstract
The purpose of the article is to verify the offered hypothesis and substantiate the necessity for rethinking of the concept
of balance of economic systems through analysis of disproportions of economic growth in the global economy. This purpose
is achieved with the methods of induction, deduction, synthesis, formalization, and systemic, structural, and problem analysis.
The authors determine the sense of current concept of balance of economic systems, conduct analysis of disproportions of
economic growth in modern global economy, substantiate necessity for rethinking of the concept of balance of economic
systems, and offer new approach to treatment of the concept of balance of economic systems. As a result of the research, the
authors come to the conclusion that concept of balance of economic systems in its modern understanding is not applicable to
analysis of the global economic system. The authors develop a new formula of balance of the global economic system and
provide practical examples of such balance for 100 recent years.
Keywords: concept of balance, economic system, disproportions of economic growth, global economy.
JEL Classification: P40, O40, F60.
1. Introduction
Actuality of the study of perspectives of determination of global economic balance is predetermined by
strategic orientation of modern global economy at provision of sustainable and stable economic growth, which is
impossible under the conditions of its imbalance within disequilibrium state. Economic growth and development
stipulates maximization of satisfaction of public needs, which is a main task of economic science, which is solved
in this paper.
Initially, the idea of balance emerged in macro-economic scale and was used for analysis of the state and
perspectives of development of national economy. With development of the global economic system, this concept
was distributed without changes in the global economy. Taking into account that principles of development of the
global economy differ from principles, on the basis of which economy of particular countries develops, it is possible
to suppose that analysis of the global economic system requires a new concept of balance, different from macro-
economic one.
Use of incorrect concept of economic balance with analysis of the global economic system may be a cause
for incorrect treatment of its state and perspectives of development, as well as selection and use of ineffective
instrumentarium for regulation of international economic processes. This constitutes a scientific problem which
should be solved in this paper.
Probably, the recent global financial crisis was indirectly caused by incorrect approach to establishment and
preservation of the global economic balance. Its rethinking will allow not only quickening the process of overcoming
the consequences of the global recession but transferring the global economic system to a new level of economic
growth and development. Based on this, the authors offer a hypothesis that the concept of balance of economic
systems in its modern understanding is not applicable to analysis of the global economic system, which leads to
necessity for its rethinking in the context of analysis of disproportions of economic growth in the global economy.
The purpose of the article is to verify this hypothesis and substantiate the necessity for rethinking of the concept of
balance of economic systems through analysis of disproportions of economic growth in the global economy.
1 Address: 141 Ekaterininskaya St., Perm, 614068, Russia
2 100 Universitetsky Ave., Volgograd, Russia
3 69 Bolshaya Sadovaya St., Rostov-on-Don, Russia
Volume XI, Issue 5(43), Fall 2016
Conclusions
The conducted analysis of disproportions of economic growth in the global economy allowed proving the
offered hypothesis and proving that concept of balance of economic systems in its modern understanding is not
applicable to analysis of the global economic system.
The authors substantiate the necessity for rethinking of the concept of balance of economic systems and
prove that establishment of correspondence of the level of economic development of various countries of the world
is impossible moreover, during evolution of modern global economy, not only was the tendency of reduction of
gap between levels of economic development of various countries observed, but there is a tendency of its
deepening.
This shows a utopian nature of the very idea of one-size-fits-all approach to analysis of economic
development of various economic systems due to large diversity of their peculiarities. Taking into account that there
is a close interdependence between countries in the global economy, and total resources (as well as production
factors and total income) are limited, any change always leads to improvement of position of certain countries and
aggravation of position of others.
Based on this, the authors build a new formula of balance of global economic system, as a situation
acknowledged and accepted by all (or at least, by most) members of international economic relations, and provide
practical examples of such balance over recent 100 years.
The authors’ conclusions have high theoretical significance, as they allow specifying the concept of balance
of economic systems in view of peculiarities of the global economy, and high practical significance as they could
be applied during analysis of balance of global economic system and development of program of measures for its
establishment and correction of existing programs for supporting the developing countries by the developed ones.
A sight limitation of scientific results, received during the research, is narrowness of time interval, over which
the examples of global economic balance were studied (recent 100 years). Due to that, during further research in
this sphere, it is necessary to pay more attention to consideration of such examples during the whole history of the
global economy.
References
[1] Aslam, M.M.H., and Azhar, S.M. 2013. Globalization and development: Challenges for developing countries.
International Journal of Economic Policy in Emerging Economies, 6(2): 158-167.
[2] Bugarin, M., and Hazama, Y. 2014. Consumer economic confidence and preference for redistribution: Main
equilibrium results. Economics Bulletin, 34(3): 2002-2009.
[3] Chateau, J., and Saint-Martin, A. 2013. Economic and employment impacts of climate change mitigation
policies in OECD: A general-equilibrium perspective. International Economics, (135/136): 79-103.
[4] Di Matteo, M. 2013. Economic dynamics as a succession of equilibria: The path traveled by Morishima.
Structural Change and Economic Dynamics, 24(1): 123-129.
[5] Eltejaei, E. 2015. Oil, government's budget and economic growth in Iran. International Journal of Economic
Policy in Emerging Economies, 8(3): 213-228.
[6] Geseleva, N.V. 2013. Tools for economic growth regulation on the basis of macroeconomic equilibrium. Actual
Problems of Economics, 143(5): 32-37.
[7] Heikkinen, T. 2014. A spatial economic model under network externalities: Symmetric equilibrium and
efficiency. Operational Research, 14(1): 89-111.
[8] Hommes, C. 2013. Reflexivity, expectations feedback and almost self-fulfilling equilibria: Economic theory,
empirical evidence and laboratory experiments. Journal of Economic Methodology, 20(4): 406-419.
[9] Michaelides, P.G., Papageorgiou, T., and Vouldis, A.T. 2013. Business cycles and economic crisis in Greece
(1960-2011): A long run equilibrium analysis in the Eurozone. Economic Modelling, 31(1): 804-816.
[10] Vaughn, K.I. 2013. Hayek, Equilibrium, and The Role of Institutions in Economic Order. Critical Review, 25
(3-4): 473-496.
[11] Donato, M.B., Milasi, M., and Vitanza, C. 2014. On the Study of an Economic Equilibrium with Variational
Inequality Arguments. Journal of Optimization Theory and Applications, 2 (1): 312-318.
Journal of Applied Economic Sciences
[12] Gaspar, J., Vasconcelos, P.B., and Afonso, O. 2014. Economic growth and multiple equilibria: A critical note.
Economic Modelling, 36: 157-160.
[13] Gudz, T.P. (2014). Economic equilibrium in the anthropological paradigm of current global civilization
transformations. Actual Problems of Economics, 159(9): 20-26.
[14] Jahfer, A., and Inoue, T. 2014. Financial development, foreign direct investment and economic growth in Sri
Lanka. International Journal of Economic Policy in Emerging Economies, 7(1): 77-93.
[15] José N'Guessan, C. F. 2013. Asymmetric equilibrium adjustment between employment and economic growth
in Côte D'ivoire: A consistent momentum threshold autoregressive model. Econometric Methods for Analyzing
Economic Development, pp. 1-9.
[16] Luperi, M. M. 2015. The general equilibrium theory as economic metatheory. Revista de Economia Politica,
35(2): 306-324.
[17] Md. Al, M., and Sohag, K. 2015. Revisiting the dynamic effect of foreign direct investment on economic growth
in LDCs. International Journal of Economic Policy in Emerging Economies, 8(2): 97-118.
[18] Popkova, E.G., Abramov, S.A., and Chechina, O.S. 2015. Problem of the Human Capital Quality Reducing in
Conditions of Educational Unification. Mediterranean Journal of Social Sciences, 6(3): 95-100.
[19] Savic, N., Pitic, G., and Konjikusic, S. 2014. Microeconomic and macroeconomic determinants of
competitiveness of East European countries in 2012. International Journal of Economic Policy in Emerging
Economies, 7(3): 264-280.
[20] Volner, Š. 2015. The importance of non-equilibrium in the development of economic system (thermodynamic
approach). Foresight, 17(1): 74-84.
[21] Nadtochey, Y.N. 2014. Back to Euro-Atlantics: why NATO is no longer a global organization? Global Economy
and International Relations, 6: 18-30.
*** Dynamics of GDP of countries of the world, 1970-2014. 2015. Retrieved from http://svspb.net/danmark/vvp-
stran-na-dushu-naselenija.php
Volume XI, Issue 5(43), Fall 2016
Do Conventional and Islamic Stock Markets Subject to Different Market
Anomalies? Empirical Evidences from Indonesia and Malaysia
M. Shabri ABD. MAJID4
Faculty of Economics and Business
Syiah Kuala University, Darussalam, Banda Aceh, Indonesia
mshabri@unsyiah.ac.id
Zulfa Alvi VAKHIRA
Faculty of Economics and Business
Syiah Kuala University, Darussalam, Banda Aceh, Indonesia
Salina KASSIM
Institute of Islamic Banking and Finance
International Islamic University Malaysia
Abstract:
This study aims to investigate whether the conventional and Islamic stock returns are subject to different calendar
anomalies by testing the monthly calendar effects on stock returns in both markets. Focusing on the Indonesian and Malaysian
Stock Markets, the closing monthly prices of the Jakarta Stock Exchange Index (JKSE), Kuala Lumpur Stock Exchange Index
(KLSE), Jakarta Islamic Index (JII) and FTSE Bursa Malaysia Hijrah Shariah Index (FBMHS) were considered covering the
period from 2004 to 2015. An independent sample of t-test is adopted to explore the differences between the conventional and
Islamic stock returns in both countries, while the calendar effects of the stock returns is then tested using the multiple
regression. The study finds that there were no differences between the conventional and Islamic stock returns, and the calendar
anomaly is only existed in the Indonesian stock markets. This implies that although both the conventional and Islamic stock
markets have been well integrated in both markets, the stock markets of Malaysia have been more efficient than the Indonesian
counterpart.
Keywords: anomaly, monthly effect, Islamic capital market, conventional capital market, stock returns, Islamic finance.
JEL Classification: C32, C53, E44, G15.
1. Introduction
The capital market has been commonly used as one of the indicators of a country's economic progress as
it essentially indicates the availability of long-term funding to support potential growth of the business sector. The
stock market, in particular plays an important role in the economy since, in addition to its function as a means of
funding for companies and other institutions, it also serves as a venue for investment.
Similar to other stock markets in the Asian countries, the stock markets in Indonesia and Malaysia have
been progressing rapidly in recent decades as reflected by the continuous growth in the value of stocks, significant
increase in the stock indices, transaction value and market capitalization, and more diversified investment products.
The emergence of Islamic stocks in Malaysia at the end of 1999 and Indonesia in early 2003 was a period of
phenomenal growth of stock markets in both countries. Since their inceptions, the Islamic stock markets continue
to grow rapidly with increasing public awareness of conducting business and investment activities based on the
shari’ah, which is free from the elements of interest (riba), uncertainty (gharar) and gambling (maysir) (Metwally
1997, Yusof and Majid 2007 and 2008, Majid and Kassim 2010, Yusof et al. 2011). Since then, Muslim investors
can be more selective in investing their monies by not just looking at the rate of return and investment risk trade-
off, but also considering the permissibility (halal) of investment so as to be in line with their religious belief.
Since the launch of the first Islamic stock market in Jordan in 1978, the world financial system experienced
a drastic change with the Islamic stock market operating in parallel with the conventional stock market in several
countries, including Malaysia and Indonesia. The Islamic finance industry has developed significantly ever since,
especially during the 2008 global financial crisis and 2010 European debt crisis (Kassim and Majid 2010). Currently,
the industry is no longer confined in the Muslim countries, but also in the western countries. Growing at a double-
digit rate of around 15% per year, the Islamic finance industry has attracted the western countries to also introduce
the Islamic stock market as an alternative investment avenue for the investors.
4 Corresponding author
Journal of Applied Economic Sciences
The presence of the Islamic stock market has enabled the Muslim investors to diversify their investments in
financial assets that are permissible based on the Islamic tenets. Despite this, the investors are assumed to be
guided by the normal risk-return consideration. According to Sharpe et al. (1999), investments in financial assets
are the core activity in the capital market. Investment involves the sacrifice of the certain current value to gain
uncertain future values. Investors expect to accumulate positive returns from their investments, considering risks-
returns trade-off. Apart from the expectation of positive rate of return, investing in the stock market also has risks
that are difficult to predict. In every investment made both in the Islamic and conventional stocks, investors who
expect to gain higher returns should bear a higher level of risk. Thus, investors should diversify their investment in
order to gain positive return with a minimal level of risks.
While investing in stocks, investors consider all available information related to the stock issuers and
economy as a whole including published and unpublished information in order to minimize errors in deciding in
which stocks they are investing. The right investment decisions also require information about the market and
economic conditions at all possible levels, namely nationally, regionally and globally. The extent to which the stock
market reacts quickly and accurately to achieve a new equilibrium stock price which fully reflects the information
that is available, which is so-called as the efficient stock market (Choudhry 2001, Jogiyanto 2009, Ambarwati 2009,
As'adah 2009, Karim and Majid 2009, Al-Jarrah and Basheer 2011, Chia and Khim 2012, Debasish 2012) is also
need to be well-understood by the investors so that they could minimize the investment risks and gain maximum
diversification benefits.
Previous studies on stock market anomalies worldwide documented mixed empirical findings. These
studies, however, discovered the existence of anomalies in the stock markets with the findings contradicting the
theory of efficient markets. Several similar studies conducted on the Indonesian and Malaysian markets have also
discovered the existence of anomalies in the stock markets, but very small number of studies has examined the
monthly effect of both conventional and Islamic stock markets. Comparing to the vast-growing of the Islamic stock
markets in the countries, number of studies on the Islamic stocks have been far smaller than that of the conventional
counterparts. This motivates the present study to fill up the existing researches’ gap by empirically exploring the
efficiency of Islamic stock markets in Indonesia and Malaysia, and at the same time, comparing them with the
conventional stock markets. With reference to Worthington (2012), this study, specifically, attempts to empirically
examine the differences in returns between the conventional and Islamic stocks, and investigate the existence of
seasonality in the form of calendar anomalies in both conventional and Islamic stocks in Indonesia and Malaysia.
The rest of this study is organized in the following sequences. Section 2 reviews the selected previous
literatures on the stock markets and their anomalies. Section 3 highlights the data and research method on which
the analysis of the study is based. Section 4 discusses the findings of the study and provides their implications.
Finally, Section 5 concludes the paper.
Volume XI, Issue 5(43), Fall 2016
Conclusion
This study empirically investigated the differences in returns between conventional and Islamic stock
markets both in Indonesia and Malaysia. It also attempted to test the monthly effects on stock returns in both
markets, covered the period 2004 to 2015. Closing monthly prices of the Jakarta Stock Exchange Index (JKSE),
Kuala Lumpur Stock Exchange Index (KLSE), Jakarta Islamic Index (JII), and the FTSE Bursa Malaysia Hijrah
Shariah Index (FBMHS) were utilized. An Independent sample of t-test was adopted to explore the differences
between the conventional and Islamic stock returns in both countries, while the calendar effects of the stock returns
was then tested using the multiple regression with dummy variables.
The study documented that there were no statistical differences in returns between the conventional and
Islamic stock markets in both countries. This finding implied that the conventional and Islamic stock markets in both
countries has been well-integrated, having the similar patterns in the stock prices movements both in conventional
and Islamic stocks in both countries. This further implied that investors who investing their monies in both markets
would gain similar diversification benefits. As for Muslim investors, buying conventional stocks are against the
Islamic injunctions as it is contained elements riba, gharar, and maysir that are totally prohibited in Islam.
In addition, the study also found that there were calendar anomalies in both conventional and Islamic stock
markets in Indonesia, but not in the neighboring stock markets. Specifically, there were monthly effects of April and
July on the returns of the Indonesian conventional stocks, while the monthly effect of April was recorded in the
Indonesian Islamic stock market. This implies that although both the conventional and Islamic stock markets have
been well integrated in both markets, but the stock markets of Malaysia has been more efficient than the Indonesian
stock markets.
The findings of the study are based on the methodology outlined above. The differences in returns between
Islamic and conventional stock markets and the existence of calendar anomalies on both markets were empirically
explored. For a more reliable and robust finding, further studies should also compare the differences in risks
between those markets. Additionally, further studies should examine other type of anomalies and at the same time
identify the factors contributing the presence of the calendar anomalies in markets. Covering broader range of the
Islamic and conventional stock markets worldwide is also recommended.
References
[1] Al-Jarrah, M.I., and Basheer, A.K. 2011. Turn of the Month Anomaly in Amman Stock Exchange: Evidence
and Implications, Journal of Money, Investment and Banking, 21: 1-11.
[2] Ambarwati, S.D.A. 2009. Pengujian Week-Four, Monday, Friday dan Earnings Management Effect Terhadap
Return Saham, Jurnal Keuangan dan Perbankan, 13(1): 1--14.
[3] As’adah, L. 2009. Pengaruh January Effect terhadap Abnormal Return dan Saham pada Jakarta Islamic
Indeks. Alfabeta, Yogyakarta.
[4] Chia, J.R.C., and Khim, L.S.V. 2012. Month-of-the-Year and Symmetrical Effects in the Nikkei 225, Journal of
Business and Management, 3(2): 68-72.
[5] Choudhry, T. 2001. Month of the Year Effect and January Effect in Pre-WWI Stock Returns: Evidence from a
Non-Linear GARCH Model, International Journal of Finance & Economics, 6(1): 1-11. DOI: 10.1002/ijfe.142
[6] Debasish, S.S.D. 2012. An Empirical Study on Month of the Year Effect in Gas, Oil and Refineries Sectors in
Indian Stock Market, International Journal of Management and Strategy (IJMwS), 3: 1-18.
[7] Fama, E.F. 1970. Efficient Capital Markets: A Review of Theory and Empirical Work, The Journal of Finance,
25 (2): 383-417. DOI: 10.1111/j.1540-6261.1970.tb00518.x
[8] Fama, E.F. 1991. Efficient Capital Markets: II, Journal of Finance, 16(4): 345-354. DOI: 10.1111/j.1540-
6261.1991.tb04636.x
[9] Giovanis, E. 2009. The Month of the Year Effect: Evidence from GARCH Models in Fifty-Five Stock Markets,
Munich Personal RePEc Archive (MPRA), 1(2): 75-98.
[10] Gujarati, D. N. 2009. Basic Econometrics. McGraw-Hill Education.
[11] Gultekin, M.N., and Gultekin, N.B. 1983. Stock Market Seasonality: International Evidence, Journal of
Financial Economics, 12: 81 - 469. DOI: 10.1016/0304-405X(83)90044-2
Journal of Applied Economic Sciences
[12] Jogiyanto, H.M. 2009.Teori Portofoliodan Analisis Investasi, BPFE, Yogyakarta.
[13] Karim, B. A., and Majid, M.S.A. 2009. International Linkages among Stock Markets of Malaysia and its Major
Trading Partners, Journal of Asia-Pacific Business, 10(4): 326351. DOI: 10.1080/10599230903340304
[14] Kassim, S.H., and Majid, M.S.A. 2010. Impact of Financial Shocks on Islamic Banks: Malaysian Evidence
during 1997 and 2007 Financial Crises, International Journal of Islamic and Middle Eastern Finance and
Management, 3(4): 291-305. Available at: http://dx.doi.org/10.1108/17538391011093243
[15] Kendall, M.G., and Hill, A.B. 1953.The Analysis of Economic Time-Series Part 1: Price, Journal of the Royal
Statistical Society. Series A (General),116(1): 11-34. DOI:10.2307/2980947
[16] Keong, L.B, Yat, D.N.C., and Ling, C.H. 2010. Month of the year effects in Asian countries: A 20-year study
1990-2009, African Journal of Business Management, 4(7): 1351-1362.
[17] Levy, H.S. 2002. Fundamentals of Investments. Pearson Education, England.
[18] Lim, K.P., Hock-Ann, L., and Khim-Sen, L. 2003. International Diversification Benefits in ASEAN Stock
Markets: A Revisit, Labuan School of International Business and Finance, 4(2): 23-48.
[19] Majid, M.S.A., and Kassim, S. H. 2010. Potential Diversification Benefits across Global Islamic Equity Markets,
Journal of Economic Cooperation and Development, 31(4): 103126.
[20] Malkiel, B.G. 2003. The Efficient Market Hypothesis and Its Critics, Journal of Economic Perspectives: 59-82.
[21] Manurung, A H., and Permana, P.N. 2005. Gejala Overreaction pada saham-saham LQ45 di BEJ periode
2002-2005. Majalah Usahawan, 4(8): 17-27.
[22] Manurung, A. 2005. Ke Arah Mana Bursa akan Dibawa? Pasar Modal Indonesia menjadi Bursa Kelas Dunia.
Elex Media Komputindo, Jakarta.
[23] Megginson, W. L. 1997. Corporate Finance Theory. Addison-Wesley.
[24] Metwally, M.M. 1997. Economic Consequences of Applying Islamic Principles in Muslim Society, International
Journal of Social Economics, 24(7/8/9): 941-957. Available at: http://dx.doi.org/10.1108/03068299710178955.
[25] Nachrowi, D. 2006. Pendekatan Populer dan Praktis Ekonometrika untuk Analisis Ekonomi dan Keuangan.
Lembaga Penerbit FEUI, Jakarta.
[26] Reilly, F.K., and Norton, E.A. 2006. Investments, Seventh Edition. Thomson: Canada.
[27] Samuelson, P. A., and Nordhaus, W. D. 1995. Economics, International Edition. New York. McGraw-Hill Inc.
[28] Sanjoko, A. 2013. Analysis Monthly Effect dan Pengaruh Krisis Tahun 1997-1998 terhadap Monthly Effect di
Indonesia, Finesta, 1(1): 71-77.
[29] Santoso, S. 2000. Buku Latihan SPSS Statistik Parametrik. PT Elex Media Komputindo, Jakarta.
[30] Sekaran, U. 2007. Research Method for Business, 4th Edition. Salemba Empat. Jakarta.
[31] Setyawardhana, R. 2005. Efek Bulan Perdaganganpada Varians HargaIndex Saham Utama Asia, Jurnal
Bisnisdan Manajemen, 5(2): 197-210.
[32] Setyawasih, R. 2009. Analisis Pemodelan Pengujian Eksistensi Anomali Return Harian di Bursa Efek
Indonesia, Jurnal Optimal, 3(1): 67-78.
[33] Shanken, J., and Smith, C.W.S. 1996. Implications of Capital Markets Research for Corporate Finance,
Financial Management: 98-104.
[34] Sharpe, W.F, Alexander, G.J, and Bailey, J.V. 1999. Investments, New Jersey, Prentice Hall.
[35] Siswanto, T. 2001. Analisis Anomali Bulan Perdagangan Terhadap Return Saham, Tesis, Universitas
Diponegoro. Semarang.
[36] Smith C.J.W. 1990. The Theory of Corporate Finance: A Historical Overview, in Smith, C.W.J. 1990: The
Modern Theory of Corporate Finance, New York, McGraw-Hill Publishing Company.
Volume XI, Issue 5(43), Fall 2016
[37] Subaweh, I. 2008. Analisa Perbandingan Kinerja Keuangan Bank Syariah dan Bank Konvensional Periode
2003-2007, Jurnal Ekonomi Bisnis, 13(2): 112-121.
[38] Sulaiman, W. 2004. Analisis Regresi Menggunakan SPSS, Yogyakarta (ID): PT. Andi.
[39] Tjahjo, E.H, and dan Handono, E. 2003. Analysis Anomali Price to Earnings Ratio dan Beta Saham Serta
Pengaruhnya Terhadap Return Saham. Institutional Repository.
[40] Wiksuana, I.G.B. 2008. Eksistensi Anomali Winner-Loser Saham Individual dan Saham Industri di Pasar
Modal Indonesia, Finance and Banking Journal, 10(1): 34-45.
[41] Worthington, A. 2012. The Month-of-the-year Effect in the Australian Stock Market: A Short Technical Note
on the Market, Industry and Firm Size Impacts, Australasian Accounting Business and Finance Journal, 5(1):
117-123.
[42] Yusof, R. M., and Majid, M.S.A. 2007. Macroeconomic Variables and Stock Returns in Malaysia: An
Application of the ARDL Bound Testing Approach, Savings and Development, 31(4): 449469.
[43] Yusof, R. M., and Majid, M.S.A. 2008. Towards an Islamic International Financial Hub: The Role of Islamic
Capital Market in Malaysia, International Journal of Islamic and Middle Eastern Finance and Management,
1(4): 313329. Available at: http://dx.doi.org/10.1108/17538390810919628
[44] Yusof, R.M., Kassim, S. H., Majid, M.S.A., and Hamid, Z. 2011. Determining the Viability of Rental Price to
Benchmark Islamic Home Financing Products: Evidence from Malaysia. Benchmarking: An International
Journal, 18(1): 69-85. Available at: http://dx.doi.org/10.1108/14635771111109823
Journal of Applied Economic Sciences
Tax Administrative Costs in V4 Countries
Ivana ONDRIJOVÁ
University of Prešov, Faculty of Management5, Slovakia
ivana.ondrijova@smail.unipo.sk
Roman VAVREK
University of Prešov, Faculty of Management, Slovakia
roman.vavrek@unipo.sk
Jaroslav KOREČKO
University of Prešov, Faculty of Management, Slovakia
jaroslav.korecko@unipo.sk
Alžbeta SUHÁNYIOVÁ
University of Prešov, Faculty of Management, Slovakia
alzbeta.suhynyiova@unipo.sk
Abstract
Main aim of this paper is to identify trends and differences between V4 countries. There are selected three categories
of Tax Administrative costs which include information technology operations (IT), human resource management (HRM) and
total administrative costs. To the description of result there are used several moment characteristics (average, range, etc.).
Relationships between variables are tested by coefficient of variation, Pearson correlation, One-way analysis of variance and
Kruskal-Wallis test. Based on statistical analysis can be stated that in the chosen period the administrative cost structure in V4
countries is variant.
Keywords: tax administration, costs, V4, statistical analysis.
JEL Classification: H20, H21.
1. Introduction
An effective tax system could be considered as a system that produces the lowest tax burden and causes
low administrative costs at the highest tax revenues. Administrative costs are costs incurred by the tax authority in
establishing and operating systems to manage all aspects of taxation. (Shaw et al. 2010) Kubátová (2010, 45)
explains that the transfer of funds from the tax payers to the state budget requires for expenditures for its
implementation and it causes inefficiency. The aim of tax system is to minimize this inefficiency. Costs of collection
of taxes on the part of government are called direct administrative costs. This includes all costs of state
administration for organizing the tax system for the registration of tax payers, tax collection, and control and so on.
These are all the costs of the public provided those concern the tax system (eg. Costs Statistical Office to obtain
information for tax authorities, the cost of justice services for tax administrator). Direct administrative costs are
relatively easy to detect, since their entries are registered in the relevant state institutions (Kubátová 2010, Zubaľová
2008).
2. Methodology
In our research, we have used data from OECD study Tax Administration 2015. For our purpose, we have
selected three categories of Tax Administrative costs which include information technology operations (IT), human
resource management (HRM) and total administrative costs. For first two areas OECD survey sought data
concerning: (1) Information technology operations: Actual or estimated costs of providing all information technology
support for administrative operations; and (2) Human resource management functions: Actual or estimated costs
of providing all human resource management support functions (e.g. personnel, payroll, recruitment, learning and
development) for administrative operations (OECD 2015, 175).
For our purposes of comparison V4 countries in Tax administrative costs area we have firstly analyzed their
GDP and subsequently performed analyzes with this indicator. Conclusions are made on basis of the results of
statistical analyzes. The aim of this contribution is to identify trends and differences between V4 countries according
to further indicators:
5 Konštantínova 16, 080 01 Prešov, Slovakia
Volume XI, Issue 5(43), Fall 2016
§ total administrative costs/GDP (%), 2005-2013,
§ HRM costs /total administrative costs (%), 2007-2013,
§ IT costs/total administrative costs (%), 2009-2013.
Methods used in work define several authors as Anděl (2007), Pacáková et al. (2009), Markechová,
Tirpáková, Stehlíková (2011). To the description of result we use several moment characteristics (average, range,
etc.). Relationships between variables are tested by coefficient of variation, Pearson correlation, One-way analysis
of variance and Kruskal-Wallis test which are more described below. The coefficient of variation for a single variable
aims to describe the dispersion of the variable in a way that does not depend on the variable's measurement unit.
The higher the coefficient of variation is, the greater the dispersion in the variable.
!"#$%
& (2.1)
with: s
x - standard deviation of variable x, ' - average of variable x.
The Pearson product-moment correlation coefficient is a measure of the strength of the linear relationship
between two variables. It is referred to as Pearson's correlation or simply as the correlation coefficient.
(#&)*&)
$%$+
#
,
-&.).*&)
-
./,
0,
-&.*& 12
-
./, 0,
-).*) 12
-
./,
(2.2)
with: n - number of observations; 3& - standard deviation of variable x; 3) - standard deviation of variable y; '4 -
value of i-th unit of variable x; 54 - value of i-th unit of variable y; ' - average of variable x; 5 - average of
variable y
As the first choice to test differences between countries we use One-way analysis of variance:
6#789
78: #
;;<
=>,
;;?
->=
#
0+@>+21-.
=
./,
=>,
0+.A>+@21
-.
A/,
=
./,
->=
(2.3)
with: MSA - pooled variance obtained by combining the individual group variance, MSE - estimate of in the
absence of true group effects.
The conditions of ANOVA (normality and homoscedasticity) are tested by Levene test and Goodness of Fit
test. In case of rejection of at least one of the mentioned conditions is used automatically Kruskal-Wallis test
B# CD
E0E*C2
F
.
1
E.
GH0IJK2
L
4MC (2.4)
with: I - number of total observation; I4 - number of observation in i-th group; N4
D- total rank of the sample size of
i-th group
Analyses are made in the Excel and statistical software Stat graphics and Statistica.
Journal of Applied Economic Sciences
Conclusion
Tax administrative costs are all costs of state administration for organizing the tax system, for the registration
of taxpayers, tax collection and control. We hypothesized that there are differences among the V4 countries in the
amount of total administrative costs, HRM costs and IT costs expended by the tax authorities. Based on the analysis
we can state the differences in the three groups of costs (total administrative, HRM, IT) among the V4 countries. In
each of these groups, there was significantly different another country and therefore we consider the administrative
cost structure in observed group of countries as variant.
Acknowledgement
This article was prepared within projects VEGA 1/0596/14 and KEGA 058PU-4/2015.
References
[1] Anděl, J. 2007. Základy matematické statistiky. Matfyz. ISBN 80-7378-001-1
[2] Kubátová, K. 2010. Daňováteorie a politika. Wolters Kluwer. ISBN 978-80-7357-574-8
[3] Markechová, D., Tirpáková, A., and Stehlíková, B. 2011. Základy štatistiky pre pedagógov. UKF Nitra.
[4] Pacáková, V. et al. 2009. Štatistické metódy pre ekonómov. Iura Edition. ISBN 978-80-8078-284-9.
[5] Shaw, J., Slemrod, J., Whiting, J. 2010. Administration and compliance. Dimensions of Tax Design, Available
at: http://www.ifs.org.uk/docs/mirrlees_dimensions.pdf},www.ifs.org.uk/uploads/mirrleesreview/
dimensions/ch12.pdf
[6] Zubaľová, A. et al. 2008. Daňovéteórie a ichvyužitie v praxi. Iura Edition.
*** OECD. Tax Administration 2015. Comparative Information on OECD and other Advanced and Emerging
Economies. OECD Publishing. Available at: http://dx.doi.org/10.1787/tax_admin-2015-en
*** OECD. Tax administration in OECD and Selected Non-OECD Countries: Comparative Information Series.
OECD Publishing. Available at: http://www.oecd.org/dataoecd/2/37/47228941.pdf
*** OECD. Tax Administration 2013: Comparative information on OECD and other advanced and emerging
economies. OECD Publishing. Available at: http://www.keepeek.com/Digital-Asset-Management/oecd/
taxation/tax-administration-2013_978926 4200814-en#page3
Volume XI, Issue 5(43), Fall 2016
Ensuring of Sustainable Socio-Economic Development of the Region on the Basis
of Capitalization and Economic Security
Julia V. LYSHCHIKOVA
Belgorod National Research University, Belgorod, Russia
lyshchikova@bsu.edu.ru
Anna V. ORLOVA
Belgorod National Research University, Belgorod, Russia
orlova_a@bsu.edu.ru
Yevgenia V. NIKULINA
Belgorod National Research University, Belgorod, Russia
nikulina@bsu.edu.ru
Abstract
The article presents the conceptual and categorical apparatus of sustainable socio-economic development of the
region in the author's extended systematization, specifying the categories “criteria of economic security of the region”, “threat
to the economic security of the region”, “indicators of capitalization of the regional economy”, “reserves of capitalization of the
regional economy”. The authors developed a conceptual integrated multi-element system of sustainable socio-economic
development of the region, reflecting the functional relationship and interdependence of sustainable development,
capitalization and economic security of the region, their quantitative and qualitative characteristics.
Keywords: sustainable socio-economic development, regional development, economic security, regional economy
capitalization, conceptual multi-element system.
JEL Classification: O44, Q01, R11.
1. Introduction
The concept of “sustainable development” is the last on emergence time global socioeconomic paradigm of
development. Within its framework in the course of economic growth the needs of today's generation are met
without creation of threats for opportunities of future generations to meet their own needs. This concept has
replaced the concept of “development without distinctions”, carried out by the United Nations Environment Program
(UNCED) in 70-ies XX century, and “eco development” concept, which was adopted in the 80s of the last century.
It is the result of scientific and socio-ideological thinking of a systemic crisis of civilization in the era of uncertainty
and catastrophic escalation processes and global threats.
The institutionalization of the category “sustainable development” took place in 1992 at the UN Conference
on Environment and Development in Rio de Janeiro (UNCED). After that, the idea of sustainable development as
a global trend became the basis of the anti-crisis environmental modeling of economic activities at different levels
and a full-fledged direction of domestic policies of a number of developed and developing countries. More than 100
states, including Russia, have developed their own strategies for sustainable development. In this case, the center
of gravity moves to the sustainable development of the regional economy, because the stable regional blocs form
a stable national economy.
In the light of decisions of the global Summit of the sustainable development “Rio+20” issues of creating
sustainable regional economic development models are highly relevant. These models have to lean on local
resources, the balanced interaction of the nature and economy in spatial systems, further capitalization of resources
at all system levels (national, regional and local), creation of system of distribution of the income, fair from the
ecological and social points of view, innovative and technological updating of productions, an effective
institutionalization of the natural and resource relations.
The relevance of the study of conditions and factors of sustainable development of Russian regions is now
growing under the influence of the growing manifestations of the geopolitical and economic instability in the world
economy. It determines the need to ensure the economic security and to increase the capitalization of the Russian
regions. In the complex, it is a necessary prerequisite for achieving sustainable socio-economic development of
each region individually, and the national economy as a whole.
Journal of Applied Economic Sciences
Conclusion
The transition to sustainable regional development requires strengthening of the integration process, the
output of economic relations in the region as outside their geographical boundaries, as beyond Russia. Regions
need embedding in world reproduction cycles on the basis of fair exchanges in the world markets, expansion of
opportunities of access to world resources of development, system integration into the world economy for the
purpose of ensuring growth of capitalization and sufficient level of economic security for realization of strategic
interests of achievement of a sustainable development.
In our opinion, sustainable economic growth of regional economy as a basis of its sustainable development
has to be characterized by the balanced use of the natural, human, financial and physical capital with the state
support of environmental protection and equitable distribution of opportunities for growth of quality of life of the
population. In contrast to this approach in many regions of Russia takes place or unstable growth with sharp
changes of economic dynamics and a standard of living of the population now, or the distorted growth with primary
development and use of the industrial physical capital to the detriment of reproduction of the human and natural
capital.
In modern Russia factors of sustainable development begin to develop in a few the most developed regions.
Therefore, sustainable development for all remains an elusive goal in the conditions of extremely low market
capitalization of the assets and the lack of a system of criteria for the economic security of the region, as well as
the prerequisites for the implementation of sustainable development strategies in the form of integrated inter-
regional economic relations.
The analysis of the relationship of capitalization, economic security and sustainable development of the
regional economy shows the existence of certain relationships between the development of the process of
capitalization of the region's resource potential, economic security level of the regional economic system and its
sustainable development. In the future, it seems necessary to develop a model of sustainable socio-economic
development of the region based on the capitalization criteria and economic security. Analytical and experimental
validation of this model will allow using the capitalization as the target category and economic security as a limiting
prerequisite in the design of regional strategies for the sustainable socio-economic development.
Acknowledgment
The reported study was funded by RFBR according to the research project “Indicative modeling of
sustainable socio-economic development of regions in the conditions of global instability on the basis of criteria of
capitalization and economic security” No. 16-36-00304 mol a.
References
[1] Altynbayeva, E.R. 2012. Management of the sustainable development of the region on the basis of capitalization
of assets of the territory. PhD thesis, Kazan.
[2] Antonova, N.I., Markina, E.D., and Bakhmatova, G.A. 2015. Model of the organizational and economic
mechanism of sanitation and providing the sustainable development of problem rural territories. Scientific
Review, 9: 295-298.
[3] Bludova, T.V., and Cherevko, D.R. 2014. Simulation of economic risk to assess the level of economic security
of regions. Business inform, 8: 94-98.
[4] Bolshakov, B.E., and Shamaeva, E.F. 2013. Development and visualization of regional natural-science
indicators and geographical models for sustainable development. International Journal of Advanced Studies,
3(2): 4-22.
[5] Boyer, B. 2000. Institutional mechanisms for sustainable development: a look at national councils for sustainable
development in Asia. Global Environmental Change, 10(2): 157-160.
[6] Chepelenko, A. 2014. Economic and military security in the conditions of economic instability. Black Sea
Scientific Journal of Academic Research, 11: 4-14.
[7] Colgan, Ch.S. 1997. Sustainable development and economic development policy: lessons from Canada.
Economic Development Quarterly, 11(2): 123-137.
Volume XI, Issue 5(43), Fall 2016
[8] Costanza, R., and Folke, C. 1994. Ecological Economics and Sustainable Development. Paper prepared for the
international Experts Meeting for the Operationalization of the Economics of Sustainability, Manila, Philippines,
July 28-30.
[9] Durdiyeva, J.A., Avanesova, A.E., and Bugaev, O.N. 2015. Assessment of the potential of sustainable social
and economic development of the regions. Contemporary Problems of Social Work, 1(1): 18-28.
[10] Feofilova, T.Y. 2010. Regional economic security: essence of the concept and borders of application. Bulletin
of the Russian Peoples' Friendship University, Series: Economy, 3: 37-43.
[11] Feofilova, T.Y., and Litvinenko, A.N. 2014. Development of small business in the economic security of the
region. Security Issues, 6: 98-149. Available at: http://e-notabene.ru/nb/article_14166.html
[12] Gak, L., and Loginova, N.A. 2011. Values of freedom, security and justice in the paradigm of development of
economic systems. Economic Revival of Russia, 1: 44-46.
[13] Ganin, O.B., and Ganin, I.O. 2015. Economic security of municipality: genesis, essence and content of the
concept. Ars Administrandi, 1: 61-84.
[14] Gavkalova, N., and Barka Zine, M. 2012. Synthesized capital and modernization of society. Economics of
Development, 2(62): 44-50.
[15] Hartwick, J.M. 1977. Intergenerational equity and the investing of rents from exhaustible resources. The
American Economic Review, 67(5): 972-974.
[16] Hecht, A.D. 1999. The triad of sustainable development: promoting sustainable development in developing
countries. Journal of Environment and Development, 8(2): 111-132.
[17] Kazantsev, S. 2012. Economic security and assessment of economic protectability of regions. Regional
Research of Russia, 2(1): 34-40.
[18] Kim, J.A. 2004. Sustainable development and the clean development mechanism: A South African case study.
Journal of Environment and Development, 13(3): 201-219.
[19] Kokhanovskaya, I.I., and Bashirova, R.F. 2014. Economic security as a basis for sustainable development of
regional economy. Regional Development, 3(4): 55-60.
[20] Krivorotov, V. V., Kalina, A.V., and Erypalov, S.E. 2014. Scientific and methodical bases of the research of
economic security in the system of sustainable and secure social and economic development of territories.
Bulletin of the Ural Federal University, Series: Economics and Management, 5: 121-132.
[21] Kuklina, E.A. 2014. Updating of the concept of sustainable development in the conditions of modern innovative
challenges and threats. Scientific Works of Northwest Institute of Management, 5-3 (15): 118-124.
[22] Kuklina, E.A. 2015. Sustainable development, viability and regional security. Bulletin of the Leningrad State
University named after A.S. Pushkin, 2(6): 21-27.
[23] Malyutin, A.A. 2014. Ensuring of economic security as a factor of sustainable development of the municipality.
Economics and Management: Analysis of Trends and Prospects for Development, 12: 134-143.
[24] Mingalyov, J.A., and Gershanok, G.A. 2012. Sustainable development of the region: innovation, economic
security, competitiveness. The Region's Economy, 3(31): 68-77.
[25] Mironenko, N.S., and Kolchugina, T. 2012. Export-oriented model of sustainable development in Russia (from
the “Dutch disease” to innovative development). Geography, Environment, Sustainability, 5(1): 112-119.
[26] Mishchenko, V.V., and Yutyaeva, O.N. 2012. Sustainable and safety development of the region: assessment
and provision. Barnaul: Altai State University.
[27] Molchan, A.S., and Anufriyeva, A.P. 2015. System of potentials of the sustainable development and economic
security of social and economic systems. Economy of a Sustainable Development, 2(22): 195-201.
[28] Molchan, А.S. 2011. Reproduction and capitalization of the economic potential of regional socio-economic
systems. Krasnodar.
Journal of Applied Economic Sciences
[29] Rasoolimanesh, S.M., Badarulzaman, N., and Jaafar, M. 2011. City development strategies (CDS) contribution
toward sustainable urban development in developing countries. Planning Malaysia, 9: 1-18.
[30] Rozhkov, V.A. 2014. Resources capitalization of electric power companies in the factors of sustainable
development of the region. Sustainable Development of Mountain Areas, 3(21): 101-106.
[31] Silifonkina, S.V. 2013. Diagnostics of the sustainable development of the regional economy with the application
of criteria of capitalization. PhD thesis, Tyumen.
[32] Soynikov, M.A. 2015. Some theoretical problems of economic security. Contemporary Problems of Social
Work, 1(1): 176-183.
[35] Volkov, V.I. 2015. To the question of the interrelation of the concepts and problems of economic security and
sustainable development. Eurasian Scientific Association, 2(5): 94-97.
[36] Wheeler, S.M. 2002. Constructing sustainable development / safeguarding our common future: rethinking
sustainable development. Journal of the American Planning Association, 68, 1:110.
[37] Xu, Z., Cheng, G., Chen, D., and Templet, P.H. 2002. Economic diversity, development capacity and
sustainable development of China. Ecological Economics, 40(3): 369-378.
[38] Yeghiazaryan, M.R. 2014. Economic security: concepts, definitions and criteria. Economics and Management
in the XXI Century, 6: 17-20.
[39] Yusupov, A.S. 2012. The role of integrated management system in the formation of the strategy of sustainable
development of regional economic systems. Caspian Region: Politics, Economy, Culture, 3: 160-166.
*** The future we want. Outcome of the Conference Rio+20. 2012. United Nations Conference on Sustainable
Development. Rio de Janeiro, Brasil. Available at: http://www.un.org/ga/search/view_doc.asp?symbol=
A/CONF.216/5&Lang=E
*** The World Bank Treasury 2015. Bonds for Sustainable Development. Available at: http://treasury.worldbank
.org/cmd/pdf/World-Bank-Investor-Newsletter.pdf
Volume XI, Issue 5(43), Fall 2016
The Impact of Macroeconomic Fundamentals on the Indonesian Sharia Stock
Index
Tasnima NUR AZIZAH
Faculty of Economics and Business-Brawijaya University, INDONESIA
taznurazizah@gmail.com
Dias SATRIA
Faculty of Economics and Business-Brawijaya University, INDONESIA
dias.satria@gmail.com
Setyo TRI WAHYUDI6
Faculty of Economics and Business-Brawijaya University, INDONESIA
setyo81@gmail.com
Abstract:
Stock market index is a tool used by the investors to determine the market and compare to return on some certain
investments. Many studies have been conducted aimed at investigating the relationship between stock market index and
macroeconomic fundamentals. However, only a few studies investigated the Sharia stock index. This study investigated the
long-term and short-term relationship between Indonesian Sharia Stock Index (ISSI) as the dependent variable and
macroeconomic fundamentals as the independent variables comprising Consumer Price Index (CPI) - the proxy for inflation
rate, interest rate, exchange rate, and money supply. The method used to investigate the long-term and short-term relationship
was Vector Error Correction Model (VECM). Before using VECM, Johansen’s Co-integration Test was used to test the co-
integration relationship between the dependent and independent variables. The result of showed that there is a long-term
relationship, but no short-term relationship between those variables was found. The result of both tests revealed significant
relationship between dependent variable and independent variables. However, the variable of CPI was insignificant in
influencing ISSI. The conclusion is that ISSI reacts positively towards interest rate and money supply while high depreciation
of Rupiah will potentially create difficulty towards the market conditions in a long-term.
Keywords: Sharia stock index, vector error correction model.
JEL Classification: G11, C13.
1. State of Art
Stock market index is the average for price of selected stocks commonly used by the investors as for
determining the market and comparing the return on certain investments. Macroeconomic fundamental is one factor
among many factors used to predict a lower or higher return on investments. The stock price return can possibly
and significantly be affected by the change of the macroeconomic fundamentals. Studies on the influence of
macroeconomic fundamentals on the stock market index commonly employed various methods and
macroeconomic fundamentals (Naik 2013, Tripathy 2011, Hosseini et al. 2011, Yadav 2012). However, only a few
studies studies dealt with the influence of macroeconomic fundamentals on Sharia stock market index, especially
in Indonesia.
Indonesia is a developing country that has many different kinds of bank. Banking in Indonesia does not only
consist of commercial banks, but also many Sharia banks and other types of banks. As a unique type of bank,
Sharia bank is slightly different from the common commercial bank, but it tends to apply the Islamic principles as
the basic principles in operating the banking system. According to OJK (Otoritas Jasa Keuangan or Financial
Services Authority of Indonesia), an institution responsible for monitoring all banks in Indonesia, the principles of
Islamic banking operation comprise mutual benefits principle and partnership providing an alternative system of
banking with mutual benefits for the bank and the customers. OJK states that in the context of macro-economic
management, an extensive use of various Islamic financial products and instrument helps attaching financial sector
and real sector and creates the harmonization between the two sectors and in addition to support financial and
business, the wide use of Islamic product and instrument will also reduce speculative transactions so that the
economy supports the stability of overall financial system. At the end, the Islamic banking will significantly contribute
6 Corresponding author
Journal of Applied Economic Sciences
to the achievement of mid-long term price stability. Therefore, this study concerns the influence of macroeconomic
fundamentals on the Sharia stock market index as Sharia banking system also plays an important role in the
economy of Indonesia. Further, this study is aimed at analyzing the relationship between macroeconomic
fundamentals and Sharia stock market index.
Volume XI, Issue 5(43), Fall 2016
Conclusion
The purpose of this study is to observe the relationship between the Islamic stock index in Indonesia and
the macroeconomic fundamentals by examining the Indonesian Sharia Stock Index and four macroeconomic
fundamentals, namely, the consumer price index - the proxy for inflation rate, interest rate, exchange rate, and
money supply. The conclusions of the study found that the consumer price index using proxy for inflation rate,
cannot be a reference to determine the Indonesian Sharia Stock Index (ISSI). According to Talla (2013), the
negative relationship between inflation and stock price can be explained by the fact that additional funds flow due
to inflation increase the supply in the stock market index while the demand side remains unaffected. This static
circumstance on the demand side of the security market puts downward tension on the stock price index. However,
in this study, inflation rate is shown to be an insignificant variable in determining the Indonesian Sharia Stock Index.
Meanwhile the interest rate is shown to be supporting the incline of ISSI. This is a special case, because it
tends to influence the stock index negatively. However, In Indonesia, conventional financial system is seen to be
more dominant compared to Sharia financial system. Therefore, the impact of interest rate runs towards the
conventional stock index more rather than towards Sharia stock index. The study found that interest rate supports
the incline of Indonesian Sharia Stock Index. Because when Bank Indonesia, the central bank of Indonesia, decides
to increase BI rate which directly influences the interest rate, people will tend to save their money on bank rather
than invest the money. Other people will see a potential from the Sharia stock. Therefore, they move to invest their
money on the Sharia stock. This case is very special, because Indonesia has dual financial system, namely
conventional financial system and Sharia financial system. However, in Indonesia, conventional financial system is
still more dominant compared to Sharia financial system. Therefore, when the potential of conventional stock
declines, people might see a good potential on the Sharia stock.
The depreciation of rupiah towards US dollar indicates the poor condition of Indonesian economy. This
condition will give a disadvantage impact towards firms. The study found that the depreciation of rupiah towards
US dollar will cause the Indonesian Sharia Stock Index to decline, because when rupiah depreciates against US
dollar, it means that the economic condition in Indonesia tends to be poor at the time. Therefore, investors will sell
their stocks or bonds in droves instead of keeping them, because the investors see the potential of foreign stocks
and bonds to be more profitable. Money supply, like interest rate, supports the incline of Indonesian Sharia Stock
Index. This is a normal case of money supply towards stock index.
References
[1] Barbić, T., and Čondić-Jurkić, I. 2011. Relationship between Macroeconomic Fundamentals and Stock Market
Indices in Selected CEE Countries. Economic Review, 62(3-4): 113–133. Retrieved from
http://hrcak.srce.hr/index.php?show=clanak&id_clanak_jezik=100403
[2] Hosseini, S. M., Ahmad, Z., and Lai, Y. W. 2011. The Role of Macroeconomic Variables on Stock Market Index
in China and India. International Journal of Economics and Finance, 3(6), 233. Available at:
http://doi.org/10.5539/ijef.v3n6p233
[3] Jiranyakul, K. 2011. Economic Forces and the Thai Stock Market, 1993-2007. Retrieved from
http://papers.ssrn.com/abstract=1803050
[4] Johansen, S. 1991. Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector
Autoregressive Models. Retrieved from https://ideas.repec.org/a/ecm/emetrp/v59y1991i6p1551-80.html
[5] Naik, P. K. 2013. Does Stock Market Respond to Economic Fundamentals? Time- series Analysis from Indian
Data, 3(1): 3450. Retrieved from http://connection.ebscohost.com/c/articles/87676231/does-stock-market-
respond-economic-fundamentals-time-series-analysis-from-indian-data
[6] Rasiah, R. R. V. 2010. Macroeconomic Activity and the Malaysian Stock Market: Empirical Evidence of Dynamic
Relations. Retrieved from http://papers.ssrn.com/abstract=1667079
[7] Talla, J.T. 2013. Impact of Macroeconomic Variables on the Stock Market Prices of the Stockholm Stock
Exchange. Retrieved from https://oatd.org/oatd/record?record=oai%5C%3ADiVA.org%5C%3Ahj-21510
[8] Tripathy, N. 2011. Causal Relationship between Macro-Economic Indicators and Stock Market in India. Asian
Journal of Finance & Accounting, 3(1): 208226. Available at: http://doi.org/10.5296/ajfa.v3i1.633
[9] Yadav, S. 2012. An Empirical Study of Macroeconomic Factors and Stock Market: An Indian Perspective.
http://www.academia.edu/1794400/An_Empirical_Study_of_Macroeconomic_Factors_andStock_Market-An_
Indian_Perspective
Journal of Applied Economic Sciences
Volume XI, Issue 5(43), Fall 2016
Accounting and Analytical Procurement of Predictive Appraisal of Synergistic
Effect in Small Business Construction Companies
Liliya Alexandrovna ZIMAKOVA
NRU BSU - Belgorod National Research University7, Russia
zimakova@bsu.edu.ru
Svetlana Nikolaevna KOVALENKO
NRU BSU - Belgorod National Research University, Russia
kovalenko_s@bsu.edu.ru
Alla Alexandrovna UDOVIKOVA
NRU BSU - Belgorod National Research University, Russia
udovikova@bsu.edu.ru
Natalia Nikolaevna KRAVCHENKO
NRU BSU - Belgorod National Research University, Russia
kravchenko_n@bsu.edu.ru
Victoria Borisovna MALITSKAYA
Plekhanov Russian University of Economics8, Russia
vmrussian@yandex.ru
Abstract:
The need to form the synergy is observed in the event of circumstances related primarily to cost saving, increase in
market prices, etc. Notably, the interested user groups exercise their own approach to the assessment of financial results. This
study is aimed at the formation of accounting and analytical systems of predictive consolidated balance sheets, in accordance
with certain trends of the synergistic effect. Based on this, the cluster analysis combined with the analysis of the portfolio of
works performed by the development and construction companies was carried out, the business strategies and their
relationship with the accounting processes were defined, the main trends of preparation and evaluation of the synergistic effect
were formed, the value chains were analyzed.
The steps formed in the framework of assessment of the predictive synergistic effect predetermine the direction of the
emergence of the synergistic effect and the speed of calculation of the predictive economic effect by the trends, and determine
the impact of the planned operations on the financial condition of the development and construction company and the net asset
value, allowing to make the right management decision.
The formation of the main trends of the synergistic effect is aimed primarily at harmonization of accounting and
analytical information as the basis for the competent business management.
Keywords: synergistic, management, tax, costs, accounting and analytical procurement, business strategy, accounting
system.
JEL Classification: M21, М41.
1. Introduction
The dynamic changes in the economic conditions necessitate the search for new business opportunities
and additional profits. This takes into account both external and internal resources. While the large companies have
already been receiving, the small businesses are just looking for the ways to receive the effect from the
complementarity of the units and services, the use of participatory management style, the use of common
resources, the development of new products and everything else that creates the synergistic effect.
A few years ago, the construction business was being developed actively in Russia, bringing effortlessly
large profits, but today the situation changed. High competition, changes in approaches to the selection of
contractors and credit policy of banks, lack of equity, reduction of real income and certain other factors had an
impact on the issues related to a profit making in this field of industry. Therefore, the time has come when the
generation of additional income became the essential problem for the development and construction companies.
The possibility of the emergence of synergy is expected at the confluence of certain circumstances; very
often it is expressed in cost saving, growth in market prices, etc., and therefore the problem of the synergistic effect
7 85 Pobedi Street Belgorod, Russia, 308015
8 36 Stremyanny per., Moscow, Russia, 117997
Journal of Applied Economic Sciences
assessment against the general search of synergy is of particular relevance. At the same time, it should be noted
that the shareholders, investors, founders, managers, economists and other interested groups have different
approaches to the financial result assessment criteria. It can be the difference between revenues and expenditures,
the capital gains, increase in the value of the company, the growth of net assets, the net inflow of funds, etc. Another
problem lies in the differences between the companies by size, type of activity, management style and industry
characteristics.
All this makes it necessary to develop modern approaches to accounting and analytical procurement of
predictive appraisal of synergistic effect drawing.
Volume XI, Issue 5(43), Fall 2016
Conclusion
Preparation of the derivative consolidated balance sheets by the small businesses of the construction
industry, given the above requirements, allows to perform the appraisal of the predictive synergistic effect from the
point of view of the influence on the balance sheet factors and capital gains. The increase in asset turnover, the
release of funds can be observed as the additional effect.
In the course of decision-making, the minimum amount of assets allowing the receipt of the maximum profit
should be calculated; for this purpose, the parametric analysis of the assets used should be performed, the unused
assets should be disposed, their structure should be updated. It is advisable to take into account the concept of
financial leverage effect: the change of the value and the return of the assets results in the change in cash flow,
which, in turn, allows to save on interest on borrowings and therefore leads to the capital growth.
The phased appraisal of the predictive synergistic effect allows to determine the trend of the synergistic
effect, to calculate quickly the predictive economic impact by the trends and to determine the impact of the planned
operations on the company's financial condition and the net asset value, which reflects positively in the results of
the decisions made.
References
[1] Aksenova, E.A. 2011. Accounting Engineering in the Resource and Enterprise Economy Management.
Rossiyskoye Predprinimatelstvo, 2-2: 107-112.
[2] Aldin, L. 2010. Semantic Discovery and Reuse of Business Process Patterns. London: Brunel University.
[3] Bogataya, I.N., and Ivashinenko, L.O. 2008. Strategic Accounting as a Perspective Direction of the Accounting
Development. Uchetistatistika, 12: 13-19.
[4] Chirkova, M.B., Bukhovets, A.G., and Malitskaya, V.B. 2014. Economic Analysis of the Factors Influencing
the Financial Assets. The Bulletin of Voronezh State Agrarian University, 1-2: 303-310.
[5] Damodaran, A. 2006. Damodaran on Valuation: Security Analysis for Investment and Corporate Finance.
John Wiley and Sons.
[6] Doyle, P. 2001. Marketing, Focused on the Cost (Trans. from English). Saint Petersburg: Publishing House
"Piter".
[7] Doyle, P. 1999. Management: Strategy and Tactics. Saint Petersburg: Publishing House "Piter".
[8] Drury, K. 2007. Management and Industrial Accounting (V.N. Egorova, Trans., 6th Edition). Moscow: UNITY-
DANA.
[9] Fleck, M.B., Boguslavsky, I.V., and Ugnich, E.A. 2014. Synergistic Effect Management the Main Driver of
Enterprise Development in Modern Conditions. The Bulletin of Don State Technical University, 14, 4(79): 203-
209.
[10] Gohan, P.A. 2004. Mergers, Acquisitions and Restructuring of the Companies (Trans. from English). Moscow:
Alpina Business Books.
[11] Hoberg, G., and Phillips, G. 2010. Product Market Synergies and Competition in Mergers and Acquisitions: A
Text-Based Analysis. Available at: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=1181022
[12] Higgins, R., and Schall, L. 1975. Corporate Bankruptcy and Conglomerate Mergers. Journal of Finance, 30:
93-113.
[13] Kaplan, P., and Norton, D. 2006. Strategic Unity. Creating the Synergy of the Company Using the Balanced
Scorecard. Publishing House "Williams".
[14] Bentley, K.A., Omer, T.C., and Sharp, N.Y. 2013. Business Strategy, Financial Reporting Irregularities, and
Audit Effort. Contemporary Accounting Research, 30(2): 780-817.
[15] Koller, T., Goedhart M., and Wessels, D. 2005. Valuation Measuring and Managing the Value of Companies.
John Wiley & Sons.
[16] Kruehler, M., Pidun, U., and Rubner, H. 2012. How to Assess the Corporate Parenting Strategy? A Conceptual
Answer. Journal of Business Strategy, 33(4): 4-17.
Journal of Applied Economic Sciences
[17] Kuznetsova, L.N. 2011. Reflection of the Benchmarking Synergistic Effect in Accounting. Uchet i statistika,
23: 28-34.
[18] Nikolaeva, O.E., and Alexeeeva, O.V. 2003. Strategic Management Accounting. Moscow: Editorial URSS.
[19] Mihai I.O., Moisescu, F., and Mihai, C. 2009. Planning Financial Growth of the Company between Limits and
Constraints. The Annals of Dunărea de Jos University of Galati, 2: 589-597.
[20] Pekuri, A., Pekuri, L. and Haapasalo, H. 2013. The Role of Business Models in Finnish Construction
Companies. Australasian Journal of Construction Economics and Building, 13(3): 13-23.
[21] Saveleva, I.V. 2012. Improvement of High-Tech Enterprise Planning System in Terms of "GRPZ" Taking into
Account the Synergistic Approach. Economics and Management: Analysis of Trends and Development
Prospects, 1-1: 22-25.
[22] Stiglitz, D. 2005. To the Politicians about the Economy. Lectures of the Nobel Laureates on Economics.
Moscow: Sovremennaya ekonomika i pravo.
[23] Tyrol, J. 2000. Markets and the Market Power: The Theory of Industrial Organization (Trans. from English).
Saint Petersburg: Ekonomicheskaya Shkola.
[24] Shank, J., and Govindarajan, V. 1992. Strategic Cost Management: The Value Chain Perspective. Journal of
Management Accounting Research, 4: 179-197.
[25] Weitzel, U., and McCarthy, K.J. 2011.Theory and Evidence on Mergers and Acquisitions by Small and Medium
Enterprises. International Journal of Entrepreneurship and Innovation Management, 14(2-3): 248-275.
[26] Zimakova, L., and Tsiguleva, S. 2015. Conceptual Framework for Creation of International Financial
Accounting Models. Asian Social Science, 8: 141-149.
[27] Walton, P., Haller, A., and Raffourner, B. 2003. International Accounting. London: Thomson.
[28] Wolmarans, H., and Meintjes, Q. 2015. Financial Management Practices in Successful Small and Medium
Enterprises (SMES). The Southern African Journal of Entrepreneurship and Small Business Management
(SAJESBM), 7: 88-149.
*** Finance: Series “Mastership” (Trans. from English), 1998. Moscow: ZAO “Olymp-Business”.
*** The Synergistic Effect of Organizational Management Based on the Balanced Scorecard. Prikaspiyskiy Journal:
Upravleniei visokie tekhnologii, 4: 36-41.
Volume XI, Issue 5(43), Fall 2016
Project Valuation of a Distribution Centre of an Auxiliary Rail Freight Terminal:
Using Real Options with Fuzzy Logic and Binomial Trees
Fernando CRUZ-ARANDA
ECEE, Universidad Panamericana, México
fcruz@up.edu.mx
Francisco ORTIZ-ARANGO
ECEE, Universidad Panamericana, México
fortizar@up.edu.mx
Agustín I. CABRERA-LIANOS
UPIBI, Instituto Politécnico Nacional, México
acabrerall@ipn.mx
Abstract:
This paper presents the financial evaluation of the extension of an auxiliary rail freight terminal to integrate it to a
logistics platform (LP). This investment phase is focused on building a distribution center (CEDI), as part of a comprehensive
project of high commercial and strategic impact for Mexico. The project evaluation is done using binomial trees for the valuation
of an American type real call option, incorporating the expected volatility over the expected cash flows, in order to determine
the benefit of postponing the project three years. In addition, to complement this real option valuation, we incorporate the fuzzy
logic theory in the process of assigning probabilities to the branches of tree. The value of the American type real call option to
postpone the project three years is 30.37% of investment, while the value of real option, using fuzzy logic is 29.94% of
investment, this is a better result.
Keywords: project evaluation, real options, binomial trees, fuzzy logic.
JEL Classification: C63, C65, G13, H43.
1. Introduction
Logistics is a strategic resource to generate competitive advantages, which in turn foster the integration of
global supply chains (that move goods across the border quickly and reliable), that is delivered to end customer
the right product in the right place, at the right price, at the right time, at the lowest possible cost. The
synchronization of the activities of multiple organizations participating in the logistics chain and transport, allows
the emergence of complex logistics systems, based on synchronization process and feedback of information that
give rise to multimodal transport schemes, defined according to the load characteristics, time, distance and
geography that must travel and take advantage of each mode of transport for the benefit of the competitiveness of
the load transportation.9
This type of processes leads to improve productivity of transport operations to move significant volumes of
cargo between two logistics platforms, and organize shipments combined loads to different customers in the area
of influence of each platform. So, you have a better transport infrastructure that has efficient connectivity and a
solid structure of logistics services seeking high logistics standard at lower costs and provide competitive
advantages to attract investment for the country.
Within companies, the implementation of well-structured processes in which value chains "to provide value
to customers and to the same company", Porter (2009) provides the competitive advantages that the company
requires.
9 Plataformas Logísticas: Elementos Conceptuales y Rol del Sector Público. CEPAL, http://www.cepal.org/usi/noticias/
bolfall/3/38123/FAL-274-WEB.pdf
Journal of Applied Economic Sciences
Conclusions
The results obtained in the prices of real options allows a deep analysis over the flexibility and advantages
that the investor faces in the project development for the extension of an auxiliary rail freight terminal to integrate it
into a logistics platform, and in that the first phase of the overall project consists of the construction of a Distribution
Centre (CEDI), with the purpose of offering new logistics services. It is evaluated the development of the project
from the perspective of postponing its construction over a period of three years or have the flexibility of wait less
time according to economic-financial and political environment. For this reason, it is very necessary, wait for the
results of the study by the National System of Logistical Platforms and the guidelines and the public policy, that
they could dictate by Authority in the matter over the sense of promoting and give competitive advantages for
development; and moreover, wait for a rebound in economic activity and its environment, trying to reduce the risk
to a minimum and avoid exposing the company to adverse changes in the value of assets and their expected
benefit.
It should be noted that the averaging period to three years was based according to the failures of structural
reforms of the current presidential term, this due to the impact of exogenous events such as the reduction in
international oil prices and that it has a direct impact on the federal budget by reducing expenditures budget of
federal government involving the cancellation and postponement of projects hence the possibility of providing
investors the opportunity to realize the project before the deadline T-t. It is for this reason, that in a world of risk and
of uncertainty, it becomes prudent assessment of the options that could lead to the project, as part of a strategic
planning that affects beneficially for the company, and minimizing the risk the optimum way.
The results show that the volatility is O#HPQRST of the yields of the cash flows, this value is significant
in the valuation process of investment project, the value of the investment in the project is $ 64,126,877 and present
value of expected cash flows is $ 64,717,954 it is discounted at weighted average cost of capital of 7.35%.
Therefore, for that the investment project is feasible, the present value of expected cash flows discounted at
UVWXXrate, should be greater than initial investment to keeping alive the investment option, in this case results that
NPV is positive, it means the investment is accepted. However, the investors don’t have flexibility in their decision
making
Comparing the prices obtained of the real option shows: From the model of Black and Scholes, it is observed
that the price of the option is $18,322,418, equal to 28.57% of the initial investment outlay at the time of expiration,
which implies three years of postponement. While the price obtained for the American call option, has a percentage
of 30.37% of the current investment; it shows to the investors, how much it would cost to have the right to postpone
the project three years and to have the possibility of beginning the project in any moment into this period if the
economic-financial and political environment is feasible.
The use of fuzzy logic allows us to estimate the expected value of the American call option, in which has
been considered a distribution function of triangular way, as well as a minimum value of the option, one maximum
and another, base value, which incorporate volatility of the cash flows and incorporates the coefficient of variation
unlike only the minimum and maximum values. This involves having a payment on the option premium of 29.94%
of the value of the investment in the project if it is postponed until three years, as recommended by the experts in
this type of projects and with the possibility to exercise at any time of period considered and giving the investor the
flexibility to exercise according to the financial-economic environment, what represent a great advantage for the
investor. This kind of evaluation allows the membership relation of an element of a set, change gradually and no in
discrete and absolute way as the classical theory of sets, ie, admitting valued belongings in the range [0,1] instead
of the set {0 ,1}.
In turbulent and uncertain environments is need, search the methodologies which enable to evaluate
projects, incorporating the benefits of new opportunities or investment strategies and to mitigate the risk inherent
in them. Fuzzy logic offers investors a more sophisticated and robust approach that helps them to support the
results obtained. Moreover, facing the challenge of infrastructure financing in the current economic scenario, this
technique applied to the valuation of socio-economic projects related to infrastructure development, especially in
the communications and transport sectors, which requires multimillion-dollar investments, is very useful, it shows
the investment alternatives pattern to the authorities responsible for their evaluation and acceptance that
accommodate new valuation techniques, giving them a more accurate and precise way in measuring uncertainty
and risk approach; the ability to break down large projects into sub-projects; assess the overall risk of a project and
its sub-projects; the possibility to postpone, to stop and reactivate a project; know beforehand extreme scenarios
such as the abandonment of a project; contemplate accepting projects that at first glance can be discarded by
having a negative net present value close to cero. This type of innovation in the sector can accommodate greater
Volume XI, Issue 5(43), Fall 2016
participation of the private sector, by leveraging schemes such as public-private partnership, providing more
benefits at private investor's and greater certainty to the public sector and enabling it to reach its socio-economic
objectives. All this, if projects are observed under the new optical: valuation of real options with fuzzy logic.
References
[1] Aldanondo, M., Hadj-Hamou, K., and Lamothe, J. 2004. Mass customization, configuration and manufacturing.
CIRP Journal of Manufacturing Systems, 33(4): 381-388.
[2] Amram, M., and Kulatilaka, N. 1999. Real Options Managing Strategic Investment in an Uncertain World,
Harvard Business School Press, Boston Massachusetts.
[3] Bailey, W. et al. 2004. Valoración de las opciones reales. Oilfield Review. (Primavera).
[4] Betanzo Quezada, E. 1995. Hacia un Sistema Nacional de Plataformas Logísticas. SCT, IMT.
[5] Black, F., and Scholes, M. 1973. The Pricing of Options and Corporate Liabilities. Journal of Political Economy.
LXXXI: 637-54.
[6] Boer, F. P. 2002. The Real Options, Solution. Finding Total Value in a High-Risk World. John Wiley & Sons,
Inc.
[7] Boyle, P. P. 1977. Options: A Montecarlo approach. Journal of Financial Economics, 4(3): 323-338.
[8] Brach Marion, A. 2003. Real Options in Practice. John Wiley & Sons, Inc., Hoboken, New Jersey.
[9] Chevalier-Roignant, R., and Trigeorgis, L. 2011. Strategy Competitive, Options and Games. The MIT Press
Cambridge, Massachusetts; London, England.
[10] Copeland, T., and Antikarov, V. 2003. Real Options, A Practitioner’s Guide. Thomson Texere.
[11] Cox, J. C., Ross S. A., and Rubinstein, M. 1979. Option Pricing: A Simplified Approach. Journal of Financial
Economics, 7: 229-263.
[12] Dixit, A.K., and Pindyck, R.S. 1994. Investment under Uncertainty. Princeton University Press.
[13] Kulatilaka, N. 1995. Operating Flexibilities in Capital Budgeting: Substitutability and Complementarity in Real
Options. In Real Options in Capital Investments: Models, Strategies, and Applications, L. Trigeorgis, ed. New
York, NY: Praeger. pp 121-132.
[14] Liao, S. and Ho, S. 2010. Investment project valuation based on a fuzzy binomial approach. Information
Sciences,180: 2124-2133.
[15] Mascareñas Pérez-Iñigo, J. M. et al. 2004. Opciones Reales y Valoración de Activos, Pearson Educación,
Madrid.
[16] Milanesi, Silverio, G. 2014. Valoración probabilística versus borrosa, opciones reales y el modelo binomial.
Aplicación para proyectos de inversión en condiciones de ambigüedad. Estudios Gerenciales, Elsevier. 30,
pp 211-219. Disponible en: http://www.redalyc.org/articulo.oa?id=21231380001
[17] Mun, J. 2010. Modeling Risk. Applying Monte Carlo Risk Simulation, Strategic Real Options, Stochastic and
Portafolio Optimization. Second Edition. John Wiley & Sons, Inc.
[18] Mun, J. 2002. Real Options Analysis, Tools and Techniques for Valuing Strategic Investments and Decisions.
John Wiley and Sons, Inc.
[19] Muzzioli, S., and Torricelli, A. 2004. A Multiperiod Binomial Model for Pricing Options in a Vague World. Journal
of Economics and Dynamics Control, 28: 861-867.
[20] Porter, M. 2009. Sercompetitivo. Edición actualizada y aumentada. Ediciones Deusto, Barcelona, España.
[21] Trigeorgis, L. 1998. Real Options, Managerial Flexibility and Strategy in Resource Allocation. Cambridge, The
MIT Press, Massachusetts Institute of Technology.
[22] Trigeorgis, L. 1993. The Nature of Options Interactions and the Valuation of Investments with Multiple Real
Options. Journal of Financial and Quantitative Analysis. 28: 1-20.
Journal of Applied Economic Sciences
[23] Tucha, T., and Brem, M. 2006. Fuzzy Transfer Pricing World: On the Analysis of Transfer Pricing with Fuzzy
Logic Techniques. IIMA Working Paper, Indian Institute of Management, Ahmedabad, India.
[24] Venegas-Martínez, F., and Fundia, A. 2006. Opciones reales, valuación financiera de proyectos y estrategias
de negocios: aplicaciones al caso mexicano, El Trimestre Económico, 73(2), 290: 363-450.
[25] Yoshida, Y. et al. 2006. A new evaluation of mean value for fuzzy numbers and its applications to American
options under uncertainty. Fuzzy Sets and Systems.157: 2614-2626.
[26] Yu, Lean, Shouyang Wang, and Kin Keung Lai. 2009. An Intelligent-Agent-Based Fuzzy Group Decision-
Making Model for Financial Multicriteria Decision Support: The Case of Credit Scoring, European Journal of
Operational Research, 195 (3): 94259.
[27] Zdnek, Z. 2010. Generalized soft binomial American real option pricing model, European Journal of
Operational Research, 207: 1096-1103. DOI: 10.1016/j.ejor.2010.05.045
[28] Zadeh, L. 1965. Fuzzy sets. Information and Control, 8 (3): 338-353.
*** BID, SCT and SE 2013. Sistema nacional de plataformas logísticas de México. Definición de un sistema
nacional de plataformas logísticas y plan de implementación. Resumen ejecutivo del estudio. México, 2013.
Available at: http://www.elogistica.economia.gob.mx/swb/work/models/elogistica/Resource/12/1/images/Res
EjecProyectoSNPLM%C3%83%C2%A9xico.pdf
*** https://www.slb.com/~/media/Files/resources/oilfield_review/spanish04/spr04/p4_19.pdf
Volume XI, Issue 5(43), Fall 2016
Economic and Mathematical Modeling of Complex Cooperation of Academic Staff
of Educational Cluster on the Basis of Fuzzy Sets Theory
Evgeniy N. TISHCHENKO
Rostov State University of Economics10 (RINH), Russia
celt@inbox.ru
Tatyana N. SHARYPOVA
North-Caucasian Branch of Moscow
Technical University of Communications and Informatics11, Russia
tnt72@mail.ru
Elena V. ZHILINA
IT and Information Protection
Rostov State University of Economics (RINH), Russia
black-2@mail.ru
Saveliy E. CHERKEZOV
IT and Information Protection
Rostov State University of Economics (RINH), Russia
saveliy@gmail.com
Abstract
The article substantiates necessity for development of fuzzy models for evaluation of cooperation level of academic
staff of educational cluster on the basis of fuzzy sets theory, which allow performing integral accounting of qualitative
input/output parameters. Methodology of complex of fuzzy models is brought down to analysis of problem situation and
structuring of subject sphere, development of fuzzy models, execution of calculation experiments with fuzzy model, application
of results of calculation experiments, and correction of fuzzy model. The authors develop a complex of fuzzy models for
evaluation of cooperation level of academic staff of educational cluster, which includes the following models in the basis of
fuzzy sets theory: model of evaluation of cooperation of academic staff of university chair, which is a part of a cluster; model
of evaluation of post-graduate system of professional training for academic staff of cluster; model of evaluation of developed
strategy of cooperation of academic staff of cluster; model of evaluation of cooperation of cluster multiplier; model of evaluation
of development of mobile innovational group of cluster; model of formation of linguistic evaluation of students’ success in
studying; model of evaluation of use of cluster web-resources. Modeling is realized by means of MATLAB with the use of
specialized package Fuzzy Logic Toolbox on the basis of fuzzy inference of the Mamdani algorithm.
Keywords: fuzzy model, educational cluster, Mamdani algorithm, linguistic variable, MATLAB, membership function.
JEL Classification: C31
1. Introduction and overview
Significant peculiarity of higher education is complexity of qualitative evaluation of cooperation of academic
staff of universities which belong to a cluster. There is not unified list of indicators of cooperation quality, as there
is no idea which quantitatively measured factors influence it, in which evaluating indicators it is expressed, and
what is authenticity of these indicators.
It is obvious that during formation of rating scale of the used parameters of a model, role of subjectivism is
very largeas here a lot depends on experience, intuition, competence, and experts’ professionalism. Besides,
requirements, set by various experts to the level of cooperation of academic staff of a certain educational cluster
differ greatly.
During formation of results scale, the method of “trials and errors” is frequently met (Khubaev 1996).
Fuzziness of such notion does not allow old methods of mathematical modeling to receive adequate quantitative
descriptions of studied parameters, so it is necessary to solve classic tasks of educational process with non-classic
methods.
10 69 Bolshaya Sadovaya St., Rostov-on-Don, Russia
11 62 Serafimovicha St., Rostov-on-Don, Russia, 344002
Journal of Applied Economic Sciences
The most interesting feature of human intellect is capability to make right decisions with incomplete and
fuzzy information. Development of models of approximate discussions of human and use of them in computer
systems of future generations is one of the most important problems of science (Kruglov et al. 2001).
Substantial progress in this regard is made by Professor of the California University (Berkeley) Lotfi, A.
Zadeh. How work “FuzzySets”, which appeared in 1965 in the journal “Information and Control” (No. 8), set
foundations of modeling of intellectual activities of human and was a start for development of a new mathematical
theory. Zadeh expanded classic notion of set, assuming that characteristic function (function of belonging of
element to set) can take any values in the interval [0; 1], and not only values 0 or 1. Such sets were named fuzzy.
Having introduced the notion linguistic variable and assuming that its terms are fuzzy sets, L. Zadeh created
apparatus for description of the processes of intellectual activities, including fuzziness and uncertainty of
expressions. Actuality of this problematics is emphasized by large number of works by Russian (Olishevskiy and
Serbinovskiy 2009, Tishchenkoand and Zhilina 2015) and foreign scientists (Wang 1992, Weiss 1973), devoted to
it.
Methodology of fuzzy modeling does not replace or exclude methodology of systemic modeling, but specifies
the latter as to the process of building and use of fuzzy models of complex systems. The process of fuzzy modeling
is the similar consequence of interconnected stages as the process of system modeling. At that, each stage is
performed for the purpose of building and use of fuzzy model of the system for solving the initial problem. Generally,
fuzzy model is understood as informational and logical model of the system built on the basis of fuzzy sets and
fuzzy logics theory. Use of fuzzy models for calculation of quantitative indicators of cooperation of university
academic staff will expand possibility for use of clusters in higher education and will allow evaluating output
parameters of models under the conditions of uncertainty and lack of statistical data.
Volume XI, Issue 5(43), Fall 2016
Conclusions
§ A set of fuzzy models of evaluation of cooperation level of academic staff of universities which belong to
cluster was developed.
§ The offered methodology allows performing integral accounting of qualitative factors (strategy and tactics
of chair/cluster, rating of academic staff of chair/cluster, evaluation of proficiency of cluster’s students, use of
clusters’ web resources, etc.) on view of their uncertainty. Setting the criterion of significance of certainty level, it
is possible to change final results, depending on the group level of cooperation in cluster.
§ It is experimentally determined that use of this approach allows obtaining evaluation of the level of
cooperation of academic staff of cluster, which proved efficiency of its application during development of complex
approach to perfection of organization and management of existing clusters in the sphere of informational security.
References
[1] Belenkiy, P.P., Tishchenko, Е.N., Sharypova, Т.N., and Zhilina, Е.V. 2015. Fuzzy model of functioning of
laboratory and production capacities. Economic Systems Management: E-journal. (80) No. 8. E-source:
http://www.uecs.ru (open access).
[2] Khubaev, G.N. 1996. Regarding Building Rate Scale in Testing Systems. Higher Education in Russia. 1: 122-
125.
[3] Kruglov, V.V., Dli, M.I., Golunov, R.Y. 2001. Fuzzy Logics and Artificial Neuron Networks. Fizmatlit, 211 p.
[4] Leonenkov, А. 2005. Fuzzy modeling in MATLAB and fuzzy TECH. SPb.: BHV-Peterburg.
[5] Olishevskiy, D.P., and Serbinovski B.Y. 2009. Modeling and Analysis of Organization and Management of
Collective Use Center / y; Southern Federal University, Novocherkassk: SRSTU (NTI), 135 p.
[6] Tishchenko, Е.N., and Zhilina, Е.V. 2015. Laboratory and production capacities of collective use. Informational
Opposition to Terroristic Threats: Scientific and practical Journal: Proceedings of XIX Plenum of Academic
Association on Education in the sphere of informational security. V.1. Taganrog: SFD, 25: 371-380. 1 p.p.
(author’s - 0.5 p.p.).
[7] Wang, L.X. 1992. Generating Fuzzy Rules by Learning from Examples, IEEE Transactions on System. Man
and Cybernetics, 22(6): 1414-1427.
[8] Weiss, D. J. 1973. The Stratified Adaptive Computerized Ability Test. Minneapolis: University of Minnesota,
Department of Psychology, Psychometric Methods Program.
[9] Zhilina, Е.V. 2011. Fuzzy models of student evaluation of discipline learning. Economic systems management:
E-journal. 35(11). No.reg. article: 0421100034. (Publication date: 30.11.2011). E-source: http://www.uecs.ru
(open access). 0.8 p.p.
[10] Zhilina, Е.V. 2012. Models, Methods, and Instrumental Methods of Evaluation of Consumer Quality of Testing
Systems in Education: Ph.D. thesis. Rostov-on-Don: RSEU (RINH).
Journal of Applied Economic Sciences
Comparison of Resource Related Sectors with Non-Resource Sectors from the
Point of View of Economic Growth and Dutch Disease Potential, Studied on the
Case of Four Resource Dependent Countries
TOMÁŠ HES
Czech University of Life Sciences Prague
Faculty of Tropical AgriSciences, Czech Republic
2586rm@gmail.com
Haiyan SULAIMAN
Czech University of Life Sciences Prague
Department of Economic Development, Prague, Czech Republic
sulaimain@ftz.czu.cz
Samuel MINTAH
Czech University of Life Sciences Prague
Department of Economic Development, Prague, Czech Republic
mintah@ftz.czu.cz
Ali SALMAN
Syrian Virtual University, Damascus, Syrian Arab Republic
alitosalman@gmail.com
Abstract:
The Dutch Disease phenomenon makes scholars conclude on the base of the historical empiric evidence, that natural
resources can be actually a thread to the long-term stability and prosperity of countries. This view of natural resources as a
curse rather than a blessing was shown on many cases of national economies. No studies had however compared different
commodities in order to draw a conclusion on the severity of their impact on GDP growth with other sectors and also on the
lagged impact in a mid-term time span. The study compares on the base of historic longitudinal panel data analysis, selected
types of resources with a Dutch Disease impact potential on GDP creation, such as crude oil and gold and compares these
with agricultural and industrial output and high-tech exports in chosen countries.
Keywords: Dutch disease, oil production, gold, panel data
JEL Classification: Q20.
1. Introduction
Economic growth is to a major extent induced by learning by doing, in agriculture as well as manufacturing
(Torvik 2001) and not by resource based windfall. The Dutch disease or the “Natural Resources Cause” (Allcot et
al. 2014) is the designation of a process related to a boom in the sector or natural resources, which causes reduction
of non-resource sectors and deindustrialization. Paraphrased, it is a market failure causing negative externalities
impacting on sectors of services and tradable goods and services, in preventing these from organic development
(Bresser-Perreira 2013). The phenomenon is based upon the concept of Ricardian rent, defined by dynamics of
international markets and creating a cost differential between the cost of less efficient producers present in the
market and the cost of countries producing the natural resource the commodity on account of its natural reserves.
While according to Ricardian rent concept the owners of the most productive lands are the principal beneficiaries,
some scholar see the curse of this rent-seeking following oil exports as well as exports of other mineral resources.
In the short run, local consumers can purchase tradable goods cheaper than in a situation without Ricardian rent,
however in the long run sophistication of production will be impeded, as labor is transferred to resource extraction
sectors with higher value created per capital.
If the view of Corden and Neary (1982) on the division of economy into sectors of natural resources, non-
resource tradable including manufacturing and agriculture as well as non-tradable sectors including construction
and non-tradable services is accepted, then it is realistic to expect the existence of a spending effect (increased
spending due to resource related income leading to increase imports) and the resource movement effect (rise of
labour costs due to rising marginal product of labour), both being the cause for Dutch disease phenomenon,
resulting from the impact of non-natural resources relative to the impact of non-tradable assets.
Volume XI, Issue 5(43), Fall 2016
In 2006 the Center for Global Development identified the Dutch disease as a term used by economists to
describe a reduction in a country’s export performance as a result of an appreciation of the exchange rate after a
natural resource. The natural resources can be as much a curse as a blessing, and the Dutch disease is as a case
of “resource curse” or “paradox of plenty”, existing even if the commodities that give rise to it have high technological
content, as is currently the case of oil production. (Bressser-Pereira 2008)
In other words, the Dutch disease can be labelled as re-allocation of capital from tradable to non-tradable
sectors, leaving the markets more open to economic shocks. Evidence shows that fluctuations of commodity prices
have strong impact on domestic spending, lead to output variabilities of commodity exporters and especially those
that are less developed from the point of view of financial development, with less pro-cyclical fiscal policies and
inflexible exchange rates. (IMF2015). Natural resources derived wealth exacerbates weaknesses of institutions
(Brahmbhatt 2010), but can also actually deteriorate governance (Collier et al. 2007). The term, was coined in 1977
by the Economist (2014) in reaction to Dutch economy which was characterized by reduction in manufacturing due
to discovery of large gas reserves in the Northern Sea leading to increased demand for the currency thus leading
to appreciation of the Dutch Guilder, causing inflation which in turn reduced profitability and competitiveness of the
national output, lower interest rates and crippled the economic potential of the country. The argument on the
comparative advantages of the resource rich economies is however controversial, since the commodity prices tend
to fluctuate and in times of low prices economies without developed back-up sectors incur into troubles. According
to Stiglitz (2004), three major impacts of Dutch Disease can be identified: the focus on non-productive activities
mal-allocating development effort, often leading to wars and corruption with secondary effects, dependence of by
default volatile commodity and crowding out of other economic sectors. Kareem (2010) studied Dutch disease in a
study examining oil-exporting countries using Heckscher-Ohlin factor endowment model in the period of 1977
2004 and found out that oil booms lead to reduced manufacturing output, that windfall shocks had negative impact
on markets rather in countries with open capital markets to FDI, that the price of labor to capital as well as capital
intensity appreciated thanks to a windfall and that high capital and high diversification intensity economic sectors
are less impacted by windfall shocks. Collier and Goderis (2007) used a panel co-integration method for
130 countries in a period between 1963-2003, reached the conclusion that commodity price booms had positive
short-term impacts related to growth, this impact would however be negative in the long term and would be
restricted to countries with low quality governance and essential natural resources such minerals and oil. Reinhart
and Rogoff suggested in 2010 that Dutch disease induced external debt rising over 60% leads to a decline of 2%
of GDP growth.
The study of 97 developing markets, with high natural resource exports to GDP showed low GDP growth
between 1970s and 1980s (Economist 2014). Smith (2014) replicated calculations done by Black et al. (2005) in
examining the impacts of oil price booms and subsequent busts for 19 oil-dependent markets did not contradict the
negative view of the Dutch Disease model, however showed a strong negative relationship to price levels in case
of countries with high non-hydrocarbon natural resources as well as agricultural products, suggesting move towards
industrialization, caused by oil related windfall. His study suggests that there is ambiguity related to effects of oil
boom and its impact on other sectors, as they do not imply mechanisms related to Dutch Disease including the
spending effects or the resource movement, and thus raised doubts on the simplified explanations of the oil windfall
related impact. Allcot et al. in 2014, examined the Dutch Disease in selected U.S. counties, using panel dataset of
gas and oil production since the 1960s until the present time and came to the conclusion that manufacturing benefits
from resources related windfall, due to pro-cyclical inputs, however limit their findings on local production as well
as local manufacturing not taking into account related issues on scale of national states. Bjørnland et al. (2014),
used a Bayesian Dynamic Factor model and quantified the impact of a fall of oil prices by 25% to by 2-2.5 percent
of Norwegian economy.
However, pure resource-based dependency may not be a simple explanation. Stiglitz puts forward in his
article for Guardian (2004) an exemplary case of such Dutch Disease doubt the comparison between Indonesia
and Nigeria, both dependent on oil and having a similar level of per capita income in 164, yet today per capita
income of Indonesia is four times Nigeria's, which has actually, as measured in constant dollars since 1995, fallen.
A pattern alike could be observed in Sierra Leone as well as in Botswana, both dependent on diamond export.
However, Botswana averaged 8.6% GDP growth over the past three decades, while Sierra Leone entered in a
protracted civil conflict. Gold mining, is a great sector in at least 34 African countries, a large number of resource-
rich African countries did not get a good benefit from their resource endowments. The reason behind this situation
is the fact that countries received small shares of the revenues from Gold mining sector and sometimes because
of foreign direct investment have negative effect in this sector (Gajigo et al. 2012). Economies that are dependent
Journal of Applied Economic Sciences
on natural resources when the source of the exploited natural resource depletes or the value declines
internationally, the country is left without a booming sector and with its remaining economy weakened and prone
to “Dutch Disease.” This phenomenon is named for the experience of the Dutch economy in the 1960’s. After natural
gas was discovered in the North Sea, increased production of gas “crowded out” other activities. Essentially
countries experiencing “Dutch Disease” like Africa countries find that resources shift into the booming natural
resource sector resulting in decreased production in other sectors particularly manufacturing and agriculture. In
addition, an appreciation of the real exchange rate often exacerbates the phenomenon by making domestic
products more expensive on international markets. This depresses domestic export industries. In the 2009 with the
report of the World Economic Forum (WEF), which showed Ghana as relatively weak in related areas of technology,
innovation, education, health, market competition and labor market efficiency. These findings suggest that skills
and productivity is the most importance competitiveness challenge facing Ghanaian enterprises. Akanni (2007)
studied Oil Wealth and Economic Growth in Oil Exporting African Countries found that oil revenues in oil exporting
African countries have failed to promote growth, increase welfare or solve migration problems. To find more
evidence about Dutch disease in oil-rich countries by the study of Treviño (2011) on the 14 member countries of
CFA franc zone, who divided them into two groups of oil exporter and non- exporter by studying some indicators
like economic growth, GDP and real exchange rate, the results clearly refer to existence Dutch disease into oil
exporter group during the oil-price boom. Chukwuka et al. (2013) studied the effect of oil discovery in Nigeria on
agriculture sector activity by using annual time series data from Central Bank of Nigeria, and the study was focusing
in relationship between agricultural commodity export and oil export by using co-integration and vector error
correction model (VECM), so these results showed that Dutch disease is exist in Nigeria because with 1% increase
in oil export the agricultural commodity export will decrease by 16% with less competitive in international markets,
these results in the same context with Olusi (2007) and Oyesanmi (2011) whose found that Dutch Disease exist in
the Nigerian case. Also Dutch disease has a negative impact on Nigeria's and Indonesia's agriculture sectors
because of local currency appreciation which affected on labour, land markets and cropping pattern and at the end
led to less competitive (Rudd 1996), another evidence from Brazilian economy with overvaluation of the exchange
rate over the last years because of impressive growth of oil which reflected on decreasing economy performance
and its competitive ability, which lead us to say it is a case of resources curse (Ueno 2010).
Volume XI, Issue 5(43), Fall 2016
Acknowledgment:
This research was enabled due to financing provided by CULS IGA project reg. nr. 20165006 and further
enhanced thanks the participation of the first author in Eulalinks Sense Erasmus Mundus Partnership EM A2-Strand
1 Lot 8 project.
Conclusion
The measurement of four countries that represent potentially important Dutch Disease target countries
showed a striking importance of industry, services as well as trade sector on the GDP growth in the period of 11
years, which is comparable or more important than the contribution of extractive sector. The explanation of this
finding can lie in the fact, that extraction of resources did contribute an important share to national GDP volume
decades ago, yet rather contributed less to GDP growth than the sector mentioned. This would imply a possible
illumination on the dangers of Dutch Disease as a phenomenon especially crucial during a period of growing output
of the natural resources contribution to GDP, while after reaching a certain threshold, such as the extraction
capacity limits, the complementary sectors of economy can become actually responsible for GDP growth in a more
dramatic way than the extraction itself. Development of social capital is a precursor to long-term economic growth,
in the view of mainstream economics being a hydraulic system situated in time as well as in space. Abundant
natural resources should be a blessing, not a curse and can become one, if the exploitation of natural resources
happens with measured approach and in balance with development of other principal economic sectors. This in
other words requires robust planning on macroeconomic level, with complex coordination between different
frameworks of governance and includes imposition of limits in the extraction sectors, which is rather more difficult
to put into practice than to consider from a theoretical point of view and which actually goes against the laissez faire
neoliberal market view. In other words, not the resources themselves, but incapacity to see a wider panorama of
the market system as well as a view of long term economic perspectives, implies the Dutch Disease potential. Rent-
seeking behavior and short termism of state officials, and natural resources wealth grab, which is less complicated
than a strenuous, gradual development of industries and commercial infrastructures, in combination with
dependence and volatility of the prices of resources, can be indeed detrimental to creation of the pool of social
capital and crowd out other, in the short term less lucrative activities, which can however at the end provide and
incomparably more important contribution to balance the satisfaction of economic needs.
References
[1] Allcott, H., and Keniston, D. 2014. Dutch Disease of Agglomeration? The Local Economic Effects of Natural
Resource Booms in Modern America. Available at: http://isites.harvard.edu/fs/docs/icb.topic1451567.files/
Dan%20Keniston%20paper.pdf
[2] Brahmbhatt, M., Canuto, M., and Vostroknutova, E. 2010. Dealing with Dutch Disease. Economic Premise 16.
World Bank.
[3] Bressser-Pereira, L. C. 2013. The value of the exchange rate and the Dutch disease. Brazilian Journal of
Political Economy, 33, 3 (132): 371-387.
[4] Diggle, P.J. et al. 2002. Analysis of Longitudinal Data (2nd Ed.). Oxford University Press. pp. 169–171.
[5] Bjørnland, H. C., and Thorsrud, L. A. What is the effect of an oil price decrease on the Norwegian economy?
Available at: http://home.bi.no/a0310125/BT_OilPrice_2014.pdf
[6] Gajigo, O. et al. 2012. Gold Mining in Africa: Maximizing Economic Returns for Countries. Working Paper
series 147, Development Research Department of the African Development Bank. [online]. Available at
http://www.afdb.org/
*** Index Mundi. (2015). Mineral Production Statistics by Country. [ONLINE] Available at:
http://www.indexmundi.com/minerals/. [Accessed 17 December 15].
[7] Ismail, K. 2010. The Structural Manifestation of the “Dutch Disease”: The Case of Oil Exporting Countries
Prepared by Kareem Ismail. International Monetary Fund, WP/10/103., pp. 2-34.
[8] Oomes, N., and Kalcheva, K. 2007. Diagnosing Dutch Disease: Does Russia Have the Symptoms. IMF
Working Paper, International Monetary Fund.
[9] Rodriguez, C.M. 2006. Dutch Disease in Saudi Arabia? Master’s thesis, Lund University.
Journal of Applied Economic Sciences
[10] Reinhart, C. M., and Rogoff, K. S. 2010. Growth in aTime of Debt. Working Paper 15639. National Bureau of
Economic Research, Cambridge, MA.
[11] Smith, B. 2014. Dutch Disease and the Oil and Boom and Bust. OxCarre Research Paper 133, Oxford Center
for the Analysis of Resource Rich Economies.
[12] Stiglitz, J. 2004. We can now cure Dutch Disease. Available at: http://www.theguardian.com/business/2004/
aug/18/comment.oilandpetrol
[13] Torvik, R. 2001. Learning by doing and the dutch disease. European Economic Review, 45(2): 285–306.
[14] Vostroknutova, E., Brahmbhatt, M., and Canuto, O. 2010. Dealing with Dutch disease. Vox CEPR’s Policy
Portal. Available at: http://www.voxeu.org/article/dealing-dutch-disease
[15] Weiner, R.J. 2000. Managing petroleum fiscal dependence Lessons from Venezuela and Mexico. The Center
for Latin American Issues. Available at: http://www.gwu.edu/~clai/working_papers/WeinerRobert 12-00.pdf
*** OECD. 2015. Crude oil production. [ONLINE] Available at: https://data.oecd.org/energy/crudeoil production.htm.
[Accessed 22 December 15
*** The Economist. 2014. Why Dutch disease is, and why it’s bad. The Economist Nov 5th C.W IMF (2015). Where
are commodity exporters headed? Output growth in the aftermath of the commodity boom. Available at:
https://www.imf.org/external/pubs/ft/weo/2015/02/pdf/c2.pdf
*** World Bank. 2015. Inflation, consumer prices. [ONLINE] Available at: http://data.worldbank.org/
indicator/FP.CPI.TOTL.ZG [Accessed 22 December 15].
*** World Bank. 2015. Annual population growth. [ONLINE] Available at: http://data.worldbank.org
/indicator/SP.POP.GROW
Volume XI, Issue 5(43), Fall 2016
Evidence of Financial Crisis in the Banking Sector of the Republic of Kosovo
Arbër H. HOTI
University of Pristina, Faculty of Economics, Kosovo
arber_hoti@hotmail.com
Artor R. NUHIU
University of Pristina, Faculty of Economics, Kosovo
artornuhiu@gmail.com
Arben DERMAKU
University of Pristina, Faculty of Economics, Kosovo
adermaku@hotmail.com
Abstract:
Commercial banks in Republic of Kosovo have undergone major changes since the beginning of their establishment
after the end of the war in 2000. Changes mainly resulted from technological changes, changes in the regulatory environment,
the entry into the market of foreign capital banks and as a result of increased competition. Due to these changes, particularly
as a result of the last global financial crisis in 2008, commercial banks in general were faced with rising operating costs, which
may have affected their profitability, liquidity and credit quality.
Our research evaluates the performance of commercial banks in the Republic of Kosovo during the period 2006 - 2012
by utilizing the method of financial ration analysis. We have also utilized the statistical t-test to analyze the impact of the recent
global financial crisis on the performance of commercial banks in the Republic of Kosovo.
The paper is organized as follows: Section 1 provides an analysis of the banking sector in Kosovo and macroeconomic
indicators for the period analyzed. Section 2 provides a literature review on the performance of banks in other countries.
Section 3 describes the research methodology and assumptions. Section 4 presents the results of research. While Section 5
consists of the summary of the research and provides our main conclusions.
Keywords: bank performance; profitability; global credit crisis; liquidity; credit quality.
JEL Classification: M40, M41, E50, E60.
1. Introduction
Kosovo banking sector consists of commercial banks activity. During the period of analysis, the number of
banks has gradually increased. In the year 2006 the total number of commercial banks operating in Kosovo was 6,
while on the year 2013 the total number of commercial banks operating in Kosovo was 9, which are: ProCredit
Bank (ex-MEB Micro Enterprise Bank), Raiffeisen Bank (ex-American Bank of Kosovo), Bank for Business (ex-
Business Private Bank), Nova Ljublanka Banka (NLB) Prishtina (established by merger of KasaBank dhe New Bank
of Kosovo (BRK), Economic Bank, National Trade Bank Kosovo Branch (BKT), Türk Ekonomi Bankasi (TEB),
Isbank and one branch of Komercijalna Banka A.D. of Belgrade who is operating only in the north side of Mitrovica
and in Gracanica.
Seven of these banks are well established and have their branches operating throughout Kosovo. It should
be noted that only two of the banks in Kosovo have local capital (Bank for Business and Economic Bank), while
other banks are banks with foreign capital (the shareholders are not Kosovars). This appears as a new trend in the
Kosovo market.
Despite many services which are provided by commercial banks in Kosovo, lending remains their principal
activity. It should be emphasized that the demand for money, in a country in transition such as Kosovo, is
significantly greater than the supply of money, so the importance of lending remains very high.
Of course, the lending (credit issuance) activity must be genuine and sound and banks should maintain their
stability and liquidity. In achieving this objective, the completion of legal financial regulatory framework has played
a great role, and also without prejudice, the strict supervision by the Central Bank of the Republic of Kosovo
(hereinafter: CBK). Another feature of the overall financial sector in Kosovo is that it is still dominated by the banking
sector, with a share of 70-75% percent of total financial system assets (Financial Stability Report 2010-Central
Bank of Kosovo).
The main sources of financing of the banking sector in Kosovo are domestic deposits and domestic
borrowings, which represent about 70-80% of all liabilities. This represents a great advantage for Kosovo banking
Journal of Applied Economic Sciences
sector, since they are not linked directly to international financial markets, and this has directly reduced the impact
of the global financial crisis in the Kosovo banking sector.
The global financial crisis of 2008 has had a great impact on the global economy. Many countries entered
recession, while in some countries, economic growth slowed down significantly. As a result of the 2008 financial
crisis and its response, many countries were forced to increase public spending to reduce the effects of the crisis
and stimulate economic growth. Central Banks also reacted, which were obliged to apply expansionary monetary
policy. These measures had a high impact in eliminating the impact of the crisis, offsetting the decline of activity in
the private sector by increasing public sector participation in the economy.
Since commercial banks in Kosovo are mainly of foreign capital, in 2009, the banking systems in the
countries where the foreign banking groups have subsidiaries in Kosovo were characterized by slower growth,
difficulties in obtaining financing and deterioration of their credit portfolio quality (Financial Stability Report 2010-
Central Bank of Kosovo). As a result of this, this contributed to the reduction of the overall profitability of the banking
system during and after year 2008.
However, relying on statistical data of Table 1 and Figure 1, it can be noted that during 2006-2012, the
banking sector in Kosovo, namely loans and deposits have been increasing steadily, despite the appearance of the
global financial crisis and its effects worldwide. But this does not mean that the global financial crisis had not
affected the performance and efficiency of these banks.
Volume XI, Issue 5(43), Fall 2016
Summary and conclusions
In this paper, we measured the performance of commercial banks in Kosovo during the period 2006-2012
and we have statistically tested the level of impact of the global financial crisis in 2008 on these banks. The results
showed that on average, profitability, liquidity and credit quality has been improved over during 2006-2008 and
from 2008 began to deteriorate.
It is also concluded that there was no statistically significant difference in the bank's performance during the
period 2006-2007 compared with 2008-2009. Such a result may have been due to the fact that Kosovo is faced
with the global financial crisis in a good macro/fiscal position allowing less sensitive effects.
We can conclude that, despite the appearance of disorder and crisis in global financial markets during 2008-
2009, the banking sector in Kosovo has remained stable. Banks have continued to meet all regulatory requirements
regarding capital adequacy and liquidity acceptable level. Also, it can be emphasized that banks have remained in
stable position and protected from the storm of the global financial crisis, as they have benefited from limited
exposure to foreign company securities and due to the fact that the crisis assets have been minimal on the balance
sheets of commercial banks of Kosovo.
References
[1] Altman, E. I. 1968. Financial ratios, discriminant analysis and the prediction of corporate Bankruptcy. The
journal of finance, 23(4): 589-609. Available at: http://dx.doi.org/10.1111/j.1540-6261.1968.tb00843.x
[2] Beaver, W. H. 1966. Financial ratios as predictors of failure. Journal of Accounting Research, 4: 71-111.
Available at: http://dx.doi.org/10.2307/2490171
[3] Berger, A.N., and Humphrey, D.B. 1997. ‘Efficiency of Financial Institutions: international survey and directions
for futures research’. European Journal of Operational Research, 98: 175-212. Available at:
http://dx.doi.org/10.1016/S0377-2217(96)00342-6
[4] Bonin, J.P., Iftekhar H., and Wachtel, P. 2005. Bank performance, Efficiency and ownership in transition
Countries. Journal of Banking & Finance 29(1): 31-53. Available at: Available at:
http://dx.doi.org/10.1016/j.jbankfin.2004.06.015
[5] Casu, B., Girardone, C., and Molyneux, P. 2006. Introduction to Banking. Vol. 10. Pearson Education.
[6] Cronje, T. 2007. Assessing the relative Efficiency management of South African banks. Management
Dynamics, 16: 11-23.
[7] Demirgüç-Kunt, A., and Huizinga, H. 1999. Determinants of commercial bank interest margins and Profitability:
Some international evidence. The World Bank Economic Review, 13(2): 379-408. Available at:
http://wber.oxfordjournals.org/content/13/2/379.short
[8] Drake, L. 2001. Efficiency and Productivity change in UK banking. Applied Financial Economics, 11: 557-571.
Available at: http://dx.doi.org/10.1080/096031001752236825
[9] Grigorian, D. A., and Manole. V. Determinants of commercial bank performance in transition: An application
of data envelopment analysis. No. 2002-2146. International Monetary Fund 2002. Available at:
http://papers.ssrn.com/sol3/papers.cfm?abstract_id=636214
[10] Kirkpatrick, C., Murinde, V. and Tefula, M. 2007. The measurement and determinants of x-inefficiency in
commercial banks in Sub-Saharan Africa. European Journal of Finance, 14 (7) 2: 625-639. Available at:
http://dx.doi.org/10.1080/13518470701705769
[11] Kiyota, H. 2009. Efficiency of Commercial Banks in Sub-Saharan Africa: A Comparative Analysis of Domestic
and Foreign Banks. A paper Prepared for the CSAE conference in 2009 on "Economic Development in Africa"
Held at the University of Oxford.
[12] Lonneke, M. 2005. Predicting Bankruptcy with Discriminant Analysis and Decision Tree using Financial Ratios,
University of Rotterdam.
[13] Maishanu, M. M. 2004. A univariate approach to predicting failure in the commercial banking sub-sector.
Nigerian Journal of Accounting Research, 1(1): 70-84.
[14] Ncube, M. 2009. Efficiency of the Banking Sector in South Africa. University of the Witwatersrand, p. 1-44.
Journal of Applied Economic Sciences
[15] Oral, M., and Yolalan, R. 1990. An empirical study on measuring operating Efficiency and Profitability of bank
branches. European Journal of Operational Research 46(3): 282-294. Available at:
http://dx.doi.org/10.1016/0377-2217(90)90002-S
[16] Statistical Bulletin no.10, Central Bank of Kosovo 2010. Available at: http://bqk-kos.org/?id=100&ar=1
[17] Webb, R.M. 2003. Levels of Efficiency in UK retail banks: A DEA window analysis. International Journal of the
Economics of Business, 10 (3): 305-322. Available at: http://dx.doi.org/10.1080/1357151032000126256
[18] Yeh, Q. J. 1996. The application of data envelopment analysis in Conjunction with financial ratios for bank
performance Evaluation. Journal of the Operational Research Society, 47: 980-988. Available at:
http://dx.doi.org/10.1057/jors.1996.125
*** Financial Stability Report No. 1, 2, 3, Central Bank of Kosovo 2011, 2012. Available at: http://bqk-
kos.org/?id=100&ar=1
*** Foreign Trade Statistics, Economic Statistics. Series 3, KSA, 2013. Available at: https://ask.rks-gov.net/en/et
Volume XI, Issue 5(43), Fall 2016
Differentiation of Regions of the Russian Federation as to Level of Budget
Revenue Potential of Municipal Entities
Nakhapu A. IBRAGIMOVA
North-Caucasus Federal University, Russia
nahapu-raifu@rambler.ru
Lyudmila N. PANKOVA
North-Caucasus Federal University, Russia
ludmilaganshina@rambler.ru
Valentina N. PARAKHINA
North-Caucasus Federal University, Russia
v-parahina@mail.ru
Svetlana N. KALYUGINA
North-Caucasus Federal University, Russia
s.kalyugina@gmail.com
Gelani I. KHANALIEV
Grozny State Oil Technical University, Russia
hgis@mail.ru
Abstract
The article deals with the notion “budget revenue potential” of region. Potential of local budgets in the regions of the
RF is analyzed and transfer-dependent model of economic behavior of municipal regions is determined for revenues from
own production and financial and commercial activities of municipal entities are very low, and budget revenues are too
centralized.
The significance of financial stability of municipal entities for provision of socio-economic development of region is
emphasized. It is shown that financial state of municipalities is determined by the mechanisms of leveling of budget provision
on the basis of inter-budget transfers, their perfection and objectivity. The main problem of local administration is determined
chronic deficit of financial assets for current needs and development of municipal entity, which is peculiar for most countries.
For the purpose of complex characteristics of budget of the subject of the Russian Federation and its economic potential, it is
offered to calculate such indicators as the level of tax provision, independence, and transfer dependence of budget. Direct
dependence of effectiveness of territorial budgets on the level of decentralization of the budget process is shown. The
conclusion is made on significance of fiscal decentralization in the system of management of state and municipal finances.
Experience of Stavropol Krai in regulation of budget relations and increase of effectiveness of budget expenditures is provided.
Keywords: budget relations, budget process, subsidized budget, inter-budget transfer, tax system, tax revenues.
JEL Classification: Н72. R51.
1. Introduction
With Russia’s transition to market foundations of economy, revenues began to be formed mainly from tax
revenues, which meant their transition to the legal basis, regulated by the law. At present, revenues from own
production and financial and commercial activities of municipal entities do not exceed 10% of all revenues, which
means that the rest 90% of revenues are received by municipal entities due tax revenues and financial help from
other budgets (Kuryan 2014).
State and municipal finances are ties which connect the integrated economic environment of a federative
state, which is expressed in centralization and constant flow of financial assets in the process of distribution of tax
revenues between the levels of budget system and distribution of tax revenues of above budgets between budgets
of lower levels (Benito et al. 2015, Hansen et al. 2014, Chernyavsky and Vartapetov 2004).
In Russia, this mechanism is pre-determined by the Federal laws. The Federal Law No. 131-FZ“On general
principles of organization of local government in the RF” (Articles 55-59) sets that norms of allocations from federal
taxes, equal for the level of budget system, are set by the Budget Code (Federal Law No. 131-FZ), which increases
predictability and sustainability of tax revenues of budgets of all levels. Regional taxes (Article 14 of the Budget
Code of the RF) include: transport tax, tax on gambling, corporate property tax (Tax Code of the RF). Revenues
Journal of Applied Economic Sciences
from regional taxes and collections are transferred into local budget by rates set by the subjects of the Russian
Federation on the basis of the Tax and Budget Codes of the Russian Federation.
The federal laws set local taxes which are levied on the whole territory of the RF. Specific size of tax rates
are set by the legal acts of representative bodies of municipal entities. The Article 15 of the Tax Code of the RF
assigns the following taxes to local taxes: land tax, personal property tax (Tax Code of the RF).
Local administration has a legal right for establishment, change, and cancel of local taxes and fees. The
mechanism of norms of tax liabilities allows redistributing assets by means of local budgets into regional budgets.
That’s why the government of the RF aims at development of the country in direction of more just redistribution of
budget assets between the levels of budgets of the RF. Realization of this task requires the totality of financial and
economic indicators which provide adequate evaluation of budget potential of the territory.
Volume XI, Issue 5(43), Fall 2016
Conclusions
As a result of the research, a stable tendency of recent years was found – reduction with municipal entities
of their own revenues against the background of constant increase of the number of issues of municipalsignificance.
There is constant under financing of municipalities and targeted character of assets allocated from higher
budgets, which means aggravation of quality of budget expenditures of municipalities which do not deem it
necessary and possible to optimize their expenditures. Actually, it is possible to state that as a result of the municipal
reform in Russia, there appeared a model of transfer dependent municipal district with the high level of dependence
on subsidies. In order to improve this situation, it is recommended to divide budget expenditures into effective,
poorly performing, and ineffective with mandatory refusal from budget financing of the latter.
Measures for budget saving cannot solve the problem of growth of budget revenue potential in the North-
Caucasian Federal District which has the lowest level, as compared to other levels, though there has been certain
positive dynamics since 2012 in part of transition to leveling of budget provision instead of leveling of the level of
coverage of actual expenditures.
Significant reduction of differentiation of the level of budget provision in recent years (starting from 2012) is
observed in Stavropol Krai, where distribution of subsidies from the krai budget lead to differentiation of budget
provision between 10 most and 10 least provided municipal entities of the krai reducing by 7 times.
It was found that city districts have certain budget autonomy, and municipal districts are turning into addition
for regional authorities they do not have their own assets for development, as tax and non-tax revenues constitute
less than 1/3 of total volume of their budget revenues.
Therefore, the main budget problem of local authorities in Russia (and other countries of the world) is chronic
deficit of financial assets even for current needs, let alone development of municipal entities. At that, solution of
this problem lies beyond the authorities of local administration, as their arsenal has a limited number of strategic
tools of influence on the volume of revenues and expenditure powers.
References
[1] Anopchenko, T.Y. et al. 2015. Organizational Model of Regional Socio-Economic Territorial Management.
International Journal of Economics and Financial Issues, 5(4): 1066-1074. Available at:
www.econjournals.com
[2] Anopchenko, T.Y., and Murzin, A.D. Analysis of the Capabilities and Limitations of the Integrated Development
of Urban Territories. International Multidisciplinary Scientific Conferences Social Sciences & Arts SGEM 2014.
Book 2. SGEM Conference on political sciences, law, finance, economics and tourism, Vol. 3. Section:
Economics and Tourism. DOI: 10.5593/sgemsocial2014B23
[3] Benito, B., Guillamón, M. D., and Bastida, F. 2015. Budget Forecast Deviations in Municipal Governments:
Determinants and Implications. Australian Accounting Review, 25(1): 45-70.
[4] Blore, I., Devas, N., and Slater, R. P. 2004. Municipalities and Finance: A Sourcebook for Capacity Building
Vol. 3. Earthscan.
[5] Cabannes, Y. 2015. The impact of participatory budgeting on basic services: municipal practices and evidence
from the field. Environmentand Urbanization, 27(1): 257-284.
[6] Chernyavsky, A., and Vartapetov, K. 2004. Municipal finance reform and local selfYgovernance in Russia.
Post-communist economies, 16(3): 251-264.
[7] Hansen, S. W., Houlberg, K., and Pedersen, L. H. 2014. Do Municipal Mergers Improve Fiscal Outcomes?
Scandinavian Political Studies, 37(2): 196-214.
[8] Holcombe, R. G., and Williams, D. W. 2008. The impact of population density on municipal government
expenditures. Public Finance Review, 36(3): 359-373. DOI 10.1177/1091142107308302
[9] Kuryan, S.S. 2014. Problem of subsidies of municipal entitiesand ways of solving it. Socio-humanitarian
research and technologies. Portal of scientific journals Available at: http://www.naukaru.ru/journal/article/
view/6222
[10] Lyan, N.А., and Eleneva, E.V. 2015. Municipal budget as financial foundations of local self-government. IInd
International student electronic scientific conference. “Student scientific forum”. Available at:
http://www.scienceforum.ru/2015/951/8326
Journal of Applied Economic Sciences
[11] Lyuta, O., Pihul, N., Kubakh, T. (2015). Financial capacity of local budget as a basis for sustainable functioning
of a territory. Economic Bulletin-ХХІ, (1-2 (1)): 78-81.
[12] Lyuta, O. V., Boyarko, I. M., Pigul, N. G. (2012). Improving the methods for evaluation of financial sustainability
of local budget. Actual Problems of Economics/ Aktual'ni Problemi Ekonomìki, 135(9).
[13] Marlowe, J. (2013). Strategy, Priority-Setting, and Municipal Capital Budget Reform: Three Cases from the
Great Recession. Available at: SSRN 2206743.
[14] Parakhina, V.N. 2012. Evaluation of socio-economic diversification of the North-Caucasian Federal District,
Regional Economics: Problem and Solutions. 12: 2-8.
[15] Parakhina, V., Boris, O., and Midler, E. 2015. Evaluation of innovative regional development of Russiа, Asian
Social Science. 11(5): 201-208.
[16] Rego, H., Mendes, A. B., and Guerra, H. 2015. A Decision Support System for Municipal Budget Plan
Decisions. In New Contributions in Information Systems and Technologies (pp. 129-139). Springer
International Publishing.
[17] Rodionova, V.М. 1997. Budget system: state, problems, perspectives, Bulletin of Financial University. 3. (E-
source). Available at: http://cyberleninka.ru/article/n/byudzhetnaya-sistema-sostoyanie-problemy-perspektivy
[18] Safiullin, M. R., Derzayeva, G. G., and Elshin, L. A. 2013. About assessment of budgetary policy efficiency of
municipalities. World Applied Sciences Journal, 27: 299-304.
[19] Shah, A. (Ed.). 2007. Local budgeting. World Bank Publications.
[20] Vicente, C., Benito, B., and Bastida, F. 2013. Transparency and Political Budget Cycles at municipal level.
Swiss Political Science Review, 19(2): 139-156.
*** Law of Stavropol Krai dated February 27, 2008, No. 6-KZ “Regarding inter-budget relationship in Stavropol Krai”.
DB Consultant Plus. Available at: http://docs.cntd.ru/document/461505110
*** Local self-government in Russia: state, problems, and ways of perfection. Final report. М.: Econ-Inform, 2009.
524 p. (Library of the institute of modern development). (E-source). Available at: http://uisrussia.msu.ru/docs/
nov/insor/final_report_MSU.pdf
*** Constitution of the RF. (E-source). DB Consultant Plus. Access: http://constitution.kremlin.ru/
*** TaxCode of the Russian Federation (TCof the RF). (E-source). DB Consultant Plus. Available at:
http://www.consultant.ru/document/cons_doc_LAW_19671/
*** Budget Code of the RF. (E-source). DB Consultant Plus. Available at: http://www.consultant.ru/document/
cons_doc_LAW 19702/ 059495d1cd539e2f83ef4eb9f1f0d0c972844d91/
*** Federal Law dated October 6, 2003, No. 131-FZ (edition dated December 12, 2015) “Regarding general
principles of organization of local self-government in the Russian Federation”. (E-source). DB Consultant Plus.
Available at: http://www.consultant.ru/document/cons_doc_LAW_44571/
*** Data of combined statistical tax reports (on allocation of taxes, collections, and other mandatory payments;
arrears of taxes, fines, and tax sanctions; tax base and structure of allocations for specific types of taxes and
charges). Report on the form No. 1-NMas of January 1, 2013. Official web-page of the Federal Tax Service.
Available at: http://www.nalog.ru/nal_statistik/forms_stat/otchet_svod/4001025/
*** Decree of the Board of the Accounts Chamber of the RF dated April 24, 2014, No. 23K (969) “On the results of
expert and analytical measure “Monitoring of execution of revenues and expenditures of consolidated budgets
of the subjects of the Russian Federation in view of the subjects of the Russian Federation” (E-source). Available
at: http://audit.gov.ru/upload/iblock/ab1/ab1fc30f1f0cb2ca54b22031747d2c04.pdf
*** Institute of modern development. Russian local self-government: results of the municipal reform of 2003-2008
and ways for perfection. (E-source). Available at: http://m-i-k-s.nichost.ru/index.php?catid=33:2011-11-16-20-
42-48&id=47&Itemid=28&option=com_content&view=article
Volume XI, Issue 5(43), Fall 2016
*** Official web-site of the Ministry of Finance of the Russian Federation. Available at:
http://minfin.rucommon/upload/ library/2014/04/main/RBO
*** Russian local self-government: current state and ways of development. Combined report on results of field
research, June-December 2010. Edited by Prof. I.Y. Yurgens. М.: Econ-Inform, 2011.
Journal of Applied Economic Sciences
The Short- and Long-Term Relationship between Input and Output in the Turkish
Automotive Sector
Halim TATLI
Faculty of Economics and Administrative Sciences
Bingöl Üniversity, Turkey
halimtatli@gmail.com
Abstract:
This study aims to discuss the short- and long-term relationship between the input and output variables of the Turkish
automotive sector using a production model. This relationship, measured using the data for the period between 1982 and
2014, was analyzed using the ARDL bound test. In the long-term analysis, the effect of the input variables on the output was
significant, with the FTP being the most effective on the output. In the short-term analysis, the effect of the input variables on
the output variable was found to be significant.
Keywords: automotive sector, total-factor productivity, ARDL
JEL Classification: D22, D24, L25, L62.
1. Introduction
The automotive sector is currently going through a rapid process of innovation under the effect of
globalization. This sector is characterized with an effective use of technological developments. These
characteristics have a positive effect on the automotive sector in such areas as the production process, distribution
of goods, governance, human resources policies and marketing.
The automotive sector, which has a strategic importance for an economy, can be referred to as a driving
force for other sectors and overall economic performance in developed and developing countries. This is because
the automotive sector tends to make a positive impact on many sectors, given the production of intermediate goods
and sales processes. The products of other sectors are used by the automotive sector as intermediate goods in
the production process. Thus, the automotive sector receives its intermediate goods mainly from the iron and steel
sector, but also from glass, plastic, textile, electronic, petrochemical and IT sectors, and in this way, it affects them.
Moreover, it makes positive contribution to the effective functioning and development of the services (distributors,
retail, maintenance and repair and insurance activities), construction, tourism, agriculture and transportation
sectors. These characteristics indicate that the automotive sector is broader, more diversified and more effective
than most other sectors.
The automotive sector is also characterized with intense research and development (R & D) investments
and the use of advanced manufacturing techniques. With this feature, it has added positive impact on the economic
structure. As a result of intense R & D investments in the sector, the emergence of technological innovations as
well as the obtaining of new production information is facilitated.
With its production magnitude, job creation capacity and high share in global trade, the automotive sector is
one of the leading economic activities (Automotive Distributors' Association 2013, 11). The two most important
characteristics of the sector are the high competitiveness and innovativeness. With these characteristics, it helps
the sector's firms develop efficient and effective policies. Other benefits include the increased diversification of
products and the acceleration of investments (Ertuğral 2011, 76) (Yaylalı and Çalmaşur 2014, 326). In addition, the
automotive sector creates value added in the economy.
Being part of the manufacturing industry, the automotive sector has a considerably important place in
Turkey's economy. There are numerous statistics and indicators attesting to the sector's importance. Turkey is the
world's 17th largest automotive producer and, as of the end of 2014, is Europe's largest light commercial vehicle
producer (Investment Support and Promotion Agency of Turkey 2014, 4). In Turkey's vehicle production, the
compound annual growth rate has been approximately 22% for the last 10 years (Abylkassymova et al. 2011: 22).
The exports by the automotive sector, which is one of the leading exporting sectors of Turkey, rose from $1.593
billion in 2000 to $18.065 billion in 2014 (TurkStat 2015). The automotive sector offers employment opportunities
for numerous people in Turkey. The share of the sector's wage earners in the top 500 industrial enterprises was
only 3.1% in 1983, but it rose to 13% in 2011 (Ministry of Science, Industry and Technology 2013, 14). Likewise,
the total number of the sector's employees rose from 40,838 in 2010 to 43,683 in 2013 (Automobile Manufacturers'
Association 2015a, 30). The investments in the sector jumped from TL 551 million in 2010 to TL 1.374 billion in
2014 (Automobile Manufacturers' Association 2015a, 31). In Turkey, the automotive sector attracts a significant
Volume XI, Issue 5(43), Fall 2016
portion of foreign direct investments (Yaylalı and Çalmaşur 2014, 326). The positive developments in the sector
continued also in 2015. Indeed, total automotive production rose by 17% in the first 11 months of 2015 compared
to the previous year while automotive exports increased by 12% over the same period (Automobile Manufacturers'
Association 2015b).
Given these positive effects of the sector on Turkey's economy, it is essential that the sector's total-factor
productivity (TFP) should be identified and the short- and long-term relationship between its inputs and outputs
should be established. The study first estimated the TFP, which is the rate of the output produced over a certain
period to the inputs used in the produced over the same period. In this estimation, the work by Lieberman et al.
(1990) as well as Lieberman and Dhawan (2005) was taken into consideration. The estimated TFP and the short-
and long-term relationship between capital and labor inputs and the output were estimated using the Autoregressive
Distributed Lag (ARDL) Bound Test method. In this context, the Turkish automotive sector was selected as a whole
and certain policy proposals were developed for the development of Turkey's automotive sector in the light of the
findings from the analysis conducted with the sector's data with an integrated approach. The main objective of the
study is to estimate the Turkish automotive sector's TFP econometrically using the sector's data for the period
between 1982 and 2014 and analyze the short- and long-term relationship between the sector's inputs and outputs.
In this framework, the study first gives an account of the literature on the subject, and then moves on to
describe the data and methodology and finally discusses the analysis findings. In the conclusion section, the
findings are assessed and policy proposals are presented.
Journal of Applied Economic Sciences
Conclusion
The automotive sector is a very important sector for Turkey's economy. Given the supply of intermediate
goods for the sector as well as the production and sales processes, the automotive sector has positive effects on
many other sectors.
This study sought to estimate the short- and long-term relationship between the inputs and outputs of the
firms in Turkey's automotive sector, including the supplier industries, based on their data for the period between
1982 and 2014. In this context, first, the TFP was econometrically estimated on a yearly basis, and then, the short-
and long-term relationship between the inputs and outputs using an econometric model including the TFP, namely
the ARDL Bound Test method.
The empirical results of the study revealed a number of important findings for the Turkish automotive sector
for the period between 1982 and 2014. Under the constant returns to scale assumption, the capital and labor made
significant positive effect on the output for the period in question, and the capital flexibility and labor flexibility of the
output were found to be approximately 0.59 and approximately 0.41, respectively. This finding indicates that the
partial effect of the capital on the sector's output is greater than the partial effect of the labor on the sector's output.
In this context, policies may be developed for boosting the capital inflow to the automotive sector, which has
widespread positive effect on Turkey's economic indicators. Various measures may be taken to improve total
savings in the country and additional policies may be implemented to encourage consumers to spend these savings
in the automotive sector. This may improve the capital utilization in the sector.
The study also found that the TFP levels of the Turkish automotive sector, calculated using the econometric
method, differed from year to year and tended to decline during economic crises. By increasing the labor
productivity, the TFP ensures more effective output. For this reason, policies may be developed to make a positive
effect on the sustainable structure of the TFP so that the sector should not shrink during times of crisis. In this
framework, certain arrangements should be made to make sure that these markets continue to function in times of
crises and more resources should be allocated to research and development.
As a result of the ARDL bound test conducted, cointegration relationship was identified between the inputs
and outputs. In the long term, the variables TFP, capital and labor were found to affect the sector's output
significantly. In the long term, the TFP and capital were found to make a positive effect on the output while
employment was found to have a negative effect on the output.
The sector's input significantly increases in line with the increase in the TFP. Moreover, of other independent
variables estimated, the capital also found to have a significant and positive effect on the output. The capital
increase in the long term in the Turkish automotive sector increases the output as well.
Of the long-term inputs studied, the variable which has the biggest effect on the production is the TFP. In
order to augment the output in the Turkish automotive sector and maintain it in a sustainable form, the sector's
firms should allocate more resources to their research and development (R and D) investments to drive their
technological development. Moreover, the government may develop incentives geared to boost the productivity
growth of firms. More effective results may be obtained if these incentives are designed to sponsor the research
into technology and intelligent energy infrastructure which may play a role in improving the use of renewable and
clan energy resources. On the other hand, the government should develop and implement a policy for enhancing
technological infrastructure that will ensure that the sector can maintain the productivity growth in a sustainable
manner.
When the short-term coefficients were taken into consideration, it was found that the TFP values for the
current terms and three and four periods ago (excluding the values one period and two periods ago) as well as the
coefficients of the capital were economically and statistically significant. More precisely, the TFP's values for the
current period and three and four periods ago as well as the capital values had positive effects on the output in the
short term in the Turkish automotive sector and these effects were found to be significant. A significant, but negative
correlation was found between the labor and the output in the short term, as was the case in the long term. The
study also found that any deviation in the output in the short term may be corrected by 81.1% in the next period to
attain the long-term balance.
In conclusion, it can be indicated that the TFP significantly makes the biggest effect on the output than the
other inputs both in the long and short term in the Turkish automotive sector. In this context, the automotive sector's
policy makers should develop policies to boost the TFP in order to make the sector's long-term output sustainable.
References
Volume XI, Issue 5(43), Fall 2016
[1] Abylkassymova, M., Bulic, A., Muchaidze, G., Tatucu, R., and Sannav, C. 2001. Turkish Automotıive Cluster,
Harvard Kennedy School Microeconomics of Competiveness, Cambridge.
[2] Biçen, Ç. 2010. Financial Efficiency Measurement with DEA in the Automotive Industry, Master's Thesis, Yıldız
University Institute of Social Sciences, İstanbul.
[3] Chang, C.L., and Robin, S. 2008. Public policy, innovation and total factor productivity: An application to
Taiwan’s manufacturing industry. Mathematics and Computers in Simulation, 79: 352-367. Available at:
http://dx.doi.org/10.1016/j.matcom.2008.01.005
[4] Chen, Y. 2011. Productivity of automobile industries using the malmquist index: evidence from the last
economic recession. Journal of Centrum Cathedra, 4(2): 165-181. Available at: http://papers.ssrn.com/sol3/
papers.cfm?abstract_id=1931822 (accessed September 18, 2015).
[5] Deliktas, E. 2002. Efficiency and analysis of total factor productivity growth in private- owned manufacturing
industry in Turkey. METU Studies in Development, 29(3-4): 247-284.
[6] Dickey, D.A., and Fuller, W.A. 1979. Distribution of the estimators for autoregressive time series with a unit
root. Journal of the American Statistical Society, 74(366): 427-431. Available at: http://dx.doi.org/
10.2307/2286348
[7] Dickey, D.A., and Fuller, W.A. 1981. Likelihood ratio statistics for autoregressive time series with a unit root.
Econometrica, 49(4): 1057-1072. Available at: http://dx.doi.org/10.2307/1912517
[8] Engle, R.F., and Granger, C.W.J. 1987. Co-integration and error correction: representation, estimation and
testing. Econometrica, 55(2): 251-76. Available at: http://dx.doi.org/10.2307/1913236
[9] Ertuğral, S.M. 2011. Automotive sector and developments after the Customs Union. Istanbul University Journal
of Social Sciences, 2: 75-83.
[10] Georganta, Z. 1997. The effect of a free market price mechanism on total factor productivity: The case of the
agricultural crop industry in Greece. International Journal of Production Economics, 52: 55-71, DOI:
10.1016/S0925-5273(96)00102-8
[11] Ito, K. (2004). Foreign ownership and plant productivity in the Thai automobile industry in 1996 and 1998: a
conditional quantile analysis. Journal of Asian Economics, 15:321-353, Available at: http://dx.doi.org/
10.1016/j.asieco.2004.02.005
[12] Johansen, S. 1988. Statistical analysis of cointegrating vectors. Journal of Economic Dynamics and Control.
12(2-3):231-54. DOI: 10.1016/0165-1889(88)90041-3
[13] Johansen, S. 1991. Estimation and hypothesis testing of cointegration vectors in gaussian vector
autoregressive models. Econometrica, 59(6): 1551-1580. Available at: http://dx.doi.org/10.2307/2938278
[14] Johansen, S., and Juselius, K. 1990. Maximum likelihood estimation and inference on cointegration - with
applications to the demand for money. Oxford Bulletin of Economics and Statistics, 52(2): 169-210. Available
at: http://dx.doi.org/10.1111/j.1468-0084.1990.mp52002003.x
[15] Jones, D.C., Kalmi, P., and Kauhanen, A. 2006. Human resource management policies and productivity: new
evidence from an econometric case study, Oxford Review Economic Policy, 22(4): 526-538. Available at:
http://dx.doi.org/10.1093/oxrep/grj031
[16] Karaduman, A. 2006. Data Envelopment Analysis and Malmquist Total Factor Productivity Index: An
Application to Turkish Automotive Industry, Master's Thesis, Middle East Technical University Department of
Industrial Engineering, Ankara.
[17] Kolasa, M., and Zolkiewsk, Z. 2004. Total factor productivity andits determinants in Poland - evidence from
manufacturing industries: The role of ICT. TIGER Working Paper Series, No. 64. Available at:
http://www.tiger.edu.pl/publikacje/TWPNo64.pdf (accessed July 20, 2016).
[18] Kumar, R.S., and Subrahmanya, M.H.B. 2010. Influence of subcontracting on innovation and economic
performance of SMEs in Indian automobile industry. Technovation, 30: 558-569. Available at:
http://dx.doi.org/10.1016/j.technovation.2010.06.005
Journal of Applied Economic Sciences
[19] Lee, D., and Jung, M. 2009. Economic effects of trade patterns on productivity: Evidence from the Korean
automobile industry. Japan and the World Economy, 21: 71-84. Available at: http://dx.doi.org/
10.1016/j.japwor.2007.11.003
[20] Lieberman, M.B., and Dhawan, R. 2005. Assessing the resource base of Japanese and U.S. auto producers:
a stochastic frontier production function approach. Management Science, 517: 1060-1075.
[21] Lieberman, M.B., Lau, L.J., and Williams, M.D. 1990. Firm-level productivity and management influence: a
comparison of U.S. and Japanese automobile producers. Management Science, 36: 1193-1215.
[22] Lorcu, F. 2010. Malmquist productivity index: An application of Turkish automotive industry. Istanbul University
Journal of School Business Administration, 39(2): 276-289.
[23] Madden, G., and Savage, S.J. 1999. Telecommunications productivity, catch-up and innovation.
Telecommunications Policy, 23(1): 65-81. DOI: 10.1016/S0308-5961(98)00076-7
[24] Managi, S., Opaluch, D., and Grigalunas, T.A. 2006. Stochastic frontier analysis of total factor productivity in
the offshore oil and gas industry. Ecological Economics, 60: 204-215. Available at:
http://dx.doi.org/10.1016/j.ecolecon.2005.11.028
[25] Nandy, D. 2011. Efficiency study of indian automobile companies using dea technique: a case study of select
companies. The IUP Journal of Operations Management, 10(4): 39-50.
[26] Oh, D., Heshmati, A., and Lööf, H. 2014. Total factor productivity of Korean manufacturing industries:
Comparison of competing models with firm-level data. Japan and the World Economy, 30: 25-36. Available at:
http://dx.doi.org/10.1016/j.japwor.2014.02.002
[27] Otsuka, K., and Natsuda, K. (2015). The Determinants of total factor productivity in the Malaysian automotive
industry: are government policies upgrading technological capacity? The Singapore Economic Review,
60(3):9-18. Available at: http://dx.doi.org/10.1142/S0217590815500460
[28] Ozdemir, A., and Duzgun, R. 2009. Efficiency analysis based on capital structure automotive firms in Turkey.
Ataturk University Journal of Economics and Administrative Sciences, 23(1): 147-164.
[29] Pesaran, H., and Smith, R.P. 1998. Structural analysis of cointegrating VARs. Journal of Economic Surveys,
12(5): 471-505. Available at: http://dx.doi.org/10.1111/1467-6419.00065
[30] Pesaran, H., Shin, Y., and Smith, R.J. 2001. Bounds testing approaches to the analysis of level relationships.
Journal of Applied Econometrics, 16: 289-326. Available at: http://dx.doi.org/10.1002/jae.616
[31] Pesaran, M.H., and Pesaran, B. 1997. Working with Microfit 4.0: Interactive Econometric Analysis, Oxford.
Oxford University Pres.
[32] Pesaran, M.H., and Shin, Y. 1995. An Autoregressive distributed lag modelling approach to cointegration
analysis. Available at: https://www.researchgate.net/publication/4800254_AnAutoregressiveDistributedLag
Modeling Approach to_Co-integration_Analysis, (accessed December 4, 2015)
[33] Sáenz-Royo, C., and Salas-Fumás, V. 2014. Long- and short-term efficiency in an automobile factory: an
econometric case study. International Journal Production Economics, 156: 98-107. Available at:
http://dx.doi.org/10.1016/j.ijpe.2014.05.018
[34] Sheng, Y., and Song, L. 2013. Re-Estimation of Firms' Total Factor Productivity in China's Iron and Steel
Industry. China Economic Review, 24: 177-188. Available at: http://dx.doi.org/10.1016/j.chieco.2012.12.004
[35] Solow, R.M. 1957.Technical change and the aggregate production function. The Review of Economics and
Statistics, 39(3): 312- 320. Available at: http://dx.doi.org/10.2307/1926047
[36] Yaylaci, Ö. 2009. An Empirical Analysis of Efficiency and Productivity Change in the Global Automotive
Industry: A Malmquist Productivity Index Approach. Master's Thesis, Bilkent University Institute of Social
Sciences, Ankara.
[37] Yaylali, M., and Calmasur, G. 2014. Cost and total factor productivity in the turkish automotive industry. Atatürk
University Journal of Social Sciences, 18(3): 325-350.
Volume XI, Issue 5(43), Fall 2016
[38] Yildiz, A. 2006. The Performance Evaluation of the Automotive Sector. Mugla University Journal of Social
Sciences, 16.
[39] Yılmaz, C., Özdil, T., and Akdoğan, G. 2002. Measurement with DEA method total effectiveness of selected
business. Manas University Journal of Social Sciences, 6(4): 174-183.
*** Automobile Manufacturers' Association. 2015a. General and Statistical Information Bulletin of Automotive
Manufacturers. Available at: http://www.osd.org.tr/yeni/wp-content/uploads/2015/05/CATA2015.pdf (accessed
December 20, 2015).
*** Automobile Manufacturers' Association. 2015c. Automotive Industry in Turkey's Top 500 Industrial Enterprises.
Available at: http://www.osd.org.tr/yeni/wp-content/uploads/2015/06/iso500-2014.pdf (accessed October 31,
2015).
*** Automobile Manufacturers' Association, 2015b. Monthly Report, November 2015. Available at: http://www.osd.
org.tr/yeni/wp-content/uploads/2015/12/2015-11-OSD-RAPOR-SB.pdf (accessed December 12, 2015).
*** Automotive Distributors' Association, 2013. World and Turkey Automotive Industry (2013). Available at:
http://www.odd.org.tr/folders/2837/categorial1docs/821/ic%20dokumanlar.pdf (accessed September 14, 2015).
*** Investment Support and Promotion Agency of Turkey, 2014. Turkey’s Automotive Industry. Available at:
http://www.invest.gov.tr/trTR/infocenter/publications/Documents/OTOMOTIV.SEKTORU.pdf (accessed
September 14, 2015).
*** Republic of Turkey Ministry of Science, Industry and Technology, Automotive Sector Report 2013/1, Directorate
General for Industry. Sectoral Reports and Analyses Series. Available at: http://www.sanayi.
gov.tr/Files/Documents/otomotiv-sektoru-raporu-216042013165101.pdf (accessed September 22, 2015)
*** Turkish Statistical Institute (TurkStat), 2015. Foreign Trade Statistics. Available at: http://www.tuik.gov.tr/
PreTablo.do?alt_id=1046 (15.09.2015)
Journal of Applied Economic Sciences
Strategic Focus as a Tool to Ensure Economic Stability and Security of Non-
Financial Corporations as Socio-Economic Systems in Modern Russian Economy
Yuri GUSEV
RF Regions Situation Centre for Socio-Economic Development
Plekhanov Russian University of Economics, Moscow, Russia
gusev.yv@rea.ru
Tatiana POLOVOVA
Department of Management Theory and Business Technology
Plekhanov Russian University of Economics, Moscow, Russia
t.a.polovova@gmail.com
Inessa KARNAUKH
Department of Labor Economics and HR Management
Plekhanov Russian University of Economics, Moscow, Russia
inessa506@yandex.ru
Abstract:
Considering potential threats to the economic security of non-financial corporations in the Russian Federation (RF)
caused by inefficient strategic management, this article aims to develop a conceptual model of a strategy which would ensure
the economic stability. The study is based on the statistical method that enabled to reveal a negative trend in the development
of non-financial corporations in the current economic situation in Russia, this trend being a destabilizing factor of social and
economic stability. The method of structural and logical simulation was used to develop a structural-logical model of long-term
economic stability of non-financial companies seen as socio-economic systems. The strategic focus of the socio-economic
systems is defined as a specific target-oriented category that allows assessing the shifts in the economic stability of the system.
Thus, it is possible to say that the strategic focus is an indicator of quantitative and qualitative criteria of socio-economic
systems performance. This idea enabled the authors to form a complex structural-logic “Model of economic stability and
security of non-financial companies as socio-economic systems”. The method of monitoring and evaluating economic stability
and security of socio-economic systems forms the basis for this structural-logical model. Such an approach allowed the authors
to indentify whether the current strategic targets of socio-economic system are achieved. The findings were analyzed to form
the conceptual provisions. Thus, this concept can be used to develop economic stability monitoring and management
techniques considering the strategic aspect of the socio-economic systems operation in modern conditions. Besides, the
findings of the research enabled to improve the methodology of strategic management and to ensure stable development of
the real sector of the national economy.
Keywords: economic stability, economic security, self-organization, conceptual-logical model, strategic focus, vector of
consumer values, socio-economic system.
JEL Classification: D21, M210, O21.
1. Introduction
Non-financial corporations are the basis for the Russian Federation development since they account for
over 80% of the country’s production of gross value added (Federal State Statistics Service FSSS 2016).
However, in the situation of geopolitical imbalances and the financial crisis the growth rate of non-financial
corporations’ production demonstrates a steady decline. The functional efficiency of socio-economic systems goes
down, which threatens the economic stability of companies and stagnation of real economy. One of the destructive
factors of this steady trend is the inefficient strategic management in corporations. Changes in the socio-economic
systems development, along with their complex functional structure result in the emergence of two vectors that can
be used to improve the management mechanism, taking into account the increasing uncertainty of the environment
as well as economic and management risks (Engert et al. 2016). The first vector deals with the desire of non-
financial corporations to expand their own innovative opportunities due to their increasing importance, such as
being a significant factor of modern economic development, which, nevertheless, carries a lot of risks. The second
vector is determined by the visible contradictions between the internal and external factors that are prerequisites
for the reform of the management mechanism and that should comply with the new model of the Russian economy.
In the context of the current financial crisis of the national economy, the abovementioned problems cannot be
solved by some applied approaches. In this regard, it seems viable to focus on theoretical and methodological
issues of system-wide study of economic stability in the framework of economic security and socio-economic
systems. At the same time, ensuring economic security, socio-economic systems should use their potential of
Volume XI, Issue 5(43), Fall 2016
permanent transformation and overcome internal restrictions. These transformations should result in the formation
of dissipative structures with a higher level of organization and effectiveness in achieving the strategic goal (Plott
et al. 2013). In this case, it is possible to talk about the self-organization of a system in the course of its evolution,
which is a key factor in ensuring the strategic stability of a system.
Thus, it is necessary to develop new conceptual theoretical and methodological provisions for ensuring
economic stability of socio-economic systems that are integrated in the structure of control theory and are based
on the complex of methodological foundations, essential characteristics of non-equilibrium systems and conceptual
models of their economic sustainability. This approach will significantly improve the economic stability management
to ensure the companies long-term operation in the conditions of unstable Russian economy.
Journal of Applied Economic Sciences
Conclusion
As part of the empirical study, the statistical analysis of the current state of Russian non-financial
corporations allowed the authors to conclude on the ineffectiveness of strategic management as the main
destabilizing factor in the companies’ economic stability and the need to manage them as socio-economic systems.
Review of scientific works enabled to refine the definition of the concept of economic stability of a socio-economic
system. This definition reflects the links between economic stability assessment, monitoring and management,
considering strategic risks and using a methodological approach to the information-analytical assessment system,
status monitoring, and management of economic stability of socio-economic systems. This approach allowed the
authors to form a structural-logical model of the strategy for economic stability of non-financial corporations as
socio-economic systems. A distinctive feature of the model is the presentation of the strategy implementation
process as a consistent set of management stages, based on the logical structure of economic stability that defines
its essence, requirements to the system properties, characteristics of its condition, the degree of equilibrium and
transition to a new qualitative state. Working on the conceptual model of economic stability strategies development,
the authors could identify a new stage of the economic security strategy “defining the strategic focus of the socio-
economic system”. This stage allows setting long-term goals and functional objectives for non-financial
corporations, which in turn ensures the strategy effectiveness and long-term stability of the socio-economic system
in the national economy under high risk and chaos. Conceptual provisions, presented in the article, can facilitate
further improvement of the methods of socio-economic systems strategic management and increase the level of
economic stability of non-financial corporations in Russia under current conditions.
References
[1] Aganbegyan, A. 2015. Russia’s Socio-Economic Development. Bulletin of the Bashkir University, 2(20): 490-
494.
[2] Anischenko, E. 2014. Stability and Economic Security of Socio-Economic Systems Development (Theoretical
Aspects, Interconnection and Interdependence). Business in Law. Economics and Law Journal, 1: 251-258.
[3] Ansoff, I. 2009. Strategic Management. Classic Edition. Piter.
[4] Arbachauskas, V. 2014. Self-Organization and Stability of Economic Systems in the Context of Their
Evolutionary Dynamics. Bulletin of the Chelyabinsk State University, 9(338): 12-17.
[5] Babkova, O. 2014. Socio-Philosophical Ideas of Alexander Bogdanov. Historical and Social-Educational
Ideas, 1(23): 297-300.
[6] Baumgartner, R.J., and Rauter, R. 2016. Strategic Perspectives of Corporate Sustainability Management to
Develop a Sustainable Organization. Journal of Cleaner Production. DOI: 10.1016/j.jclepro.2016.04.146
[7] Bezverkhaya, E., Guba, I., and Kovaleva, K. 2015. Economic Security of an Enterprise: Essence and Factors.
Polythematic Online Scientific Journal of the Kuban State Agrarian University, 108: 1-12.
[8] Drury, C. 2015. Cost and Management Accounting. Cheriton House.
[9] Engert, S., Rauter, R., and Baumgartner, R.J. 2016. Exploring the Integration of Corporate Sustainability into
Strategic Management: A Literature Review. Journal of Cleaner Production, 112 (4): 2833-2850. DOI:
10.1016/j.jclepro.2015.08.031
[10] Erokhina, E. 2011. Concept of Self-Organization as a New Methodology for the Study of Economic Systems.
Innovations, 4: 79-84.
[11] Finko, S. 2014. Analysis of Factors Affecting the Efficiency of the Region’s Economic Entities Performance
under Conditions of Market Globalization. Bulletin of the Tatishchev Volga University, 2 (31): 1-10.
[12] Haken, H. 2014. Information and Self-Organization: A Macroscopic Approach to Complex Systems. LENAND.
[13] He, Yu., Xu, Z., and Gu, J. 2016. An Approach to Group Decision Making with Hesitant Information and Its
Application in Credit Risk Evaluation of Enterprises. Applied Soft Computing, 43: 159-169. DOI:
10.1016/j.asoc.2016.02.010
[14] Ivanova, L. 2013. Economic Security of the Enterprise. Bulletin of the Ufa State Aviation Technical University,
7(60): 30-33.
[15] Khodorowsky, L. 2014. Information Systems Design. Infra-M.
Volume XI, Issue 5(43), Fall 2016
[16] Khudyakova, T. 2015. Basic Principles of Assessing the Effectiveness of the Enterprise Stability Control
System in Variable Economy. Bulletin of South Ural State University. Economics and Management, 2(9): 170-
174.
[17] Knyazeva, E. 2014. Synergetics Foundations: Synergetic Vision of the World. LIBROKOM. Larionov, I. (2014).
Strategic Management. Dashkov and K.
[18] Legg, S., Olsen, K., Laird, I., and Hasle, P. 2015. Managing Safety in Small and Medium Enterprises. Safety
Science, 71: 189-196. DOI: 10.1016/j.ssci.2014.11.007
[19] Nielsen, K.J. et al. 2015. A Multi-Case Study of the Implementation of an Integrated Approach to Safety in
Small Enterprises. Safety Science, 71: 142-150. DOI: 10.1016/j.ssci.2013.11.015
[20] Loktionova, Yu. 2013. Mechanism of Ensuring the Economic Security of the Enterprise. Social-Economic
Phenomena and Processes, 3(049): 93-99.
[21] Milovanov, V. 2015. Synergetics and Self-Organization. Socio-Economic Systems.
[22] Pareto, V. 2011. Manuale di economia politica con una introduzione alla scienza sociale. Societa Editrice
Libraria.
[23] Plott, Ch., Roy, N., and Tong, B. 2013. Marshall and Walras, Disequilibrium Trades and the Dynamics of
Equilibration in the Continuous Double Auction Market. Journal of Economic Behavior & Organization, 94:
190-205. DOI: 10.1016/j.jebo.2012.12.002
[24] Prigozhin, I., and Stengers, I. 2016. Order from Chaos. New Dialogue between Man and Nature. URSS
Publishing Group.
[25] Russell, J., and Kohn, R. 2013. System Approach. Infra-M. Samochkin, V. and Barakhov, V. (2014). Economic
Security of Industrial Enterprises. Proceedings of the Tula State University. Economics and Law 3(1): 342-
352.
[26] Savichev, A. 2015. Methods of Financial and Economic Diagnostics in Management of Sustainable
Development of Small and Medium-Sized Businesses. Fundamental Research, 2(25): 5649-5654.
[27] Sharovatov, S. 2014. Strongest Economies as a Promising Direction of Research. Economics and Modern
Management: Theory and Practice, 33: 159-165.
[28] Smith, A. 2015. Wealth of Nations [Selections]. Spender, J.-C. (2015). Simon, Herbert (1916-2001).
International Encyclopedia of the Social & Behavioral Sciences (Second Edition): 970-974.
DOI:10.1016/B978-0-08-097086-8.61286-2
[29] Vane, H., and Mulhearn, C. 2016. Paul A. Samuelson, John R. Hicks, Kenneth J. Arrow, Gerard Debreu and
Maurice F. C. Allais (Pioneering Papers of the Nobel Memorial Laureates in Economics). Edward Elgar Pub.
[30] Wiener, N. 2013. Cybernetics. John Wiley & Sons Inc.
[31] Yarin, G. 2014. Stability of Economic Systems on the Basis of Funky-Management Methodology. Bulletin of
the Chelyabinsk State University, 15(344): 40-48.
[32] Yu, H. et al. 2014. Research on Ranking Evaluation Models of Safety Risk in Productive Enterprises based
on the Perspective of Supervision. Procedia Engineering, 84: 100-107. DOI: 10.1016/j.proeng.2014.10.415
[33] Zhilo, P., and Shcherbakova, D. 2013. Description of Key Threats to Economic Security of an Enterprise.
Social and Economic Phenomena and Processes, 5(051): 89-92.
[34] Zykov, V., and Leontieva, A. 2014. ACompany as a Business Entity and a Subject of Economic Security.
Theory and Practice of Social Development, 17: 41-46.
*** FSSS. 2016. The Official Internet Resource of the Federal State Statistics Service.
Journal of Applied Economic Sciences
Comparison of Changes in the Shares of Public and Private Funds in Cluster
Budgets after 2010
Peter BURGER
Faculty of Economics
Technical University of Košice, Slovakia
Peter.Burger@tuke.sk
Abstract:
The scientific paper presented compares the share of public and private funds in cluster budgets. It is based on two
authentic and independent primary surveys which were carried out in 2011 and 2016. In both surveys the addressed clusters
responded to several questions concerning their budget structures. The goal of the surveys was to track changes in funding
clusters during this five-year period and examine the statistical significance of such changes. The share of public and private
funds in cluster budgets has not significantly changed from the statistical point of view, nor has the structure of public funds;
the structure of private funds has changed relatively considerably, when the decreasing share of membership fees in cluster
budgets has been compensated for by the revenues generated by clusters themselves from their own activities, and the share
of venture capital, resources of “business angels” and other donors hasalso increased.
Keywords: clusters, financing clusters, cluster budgets, public funds, private funds.
JEL Classification: O31, O38, R58.
1. Introduction
The topic of clusters, cluster initiatives and cluster policies has been the subject of great concern to
professional public since 1990 due to the publication of Michael Porter’s book (1990) »Competitive Advantage of
the Nations«. Other research studies have been gradually growing in number, dealing to a greater or lesser extent
with cluster funding and exploring the issue from various aspects. Financing clusters is possible by employing
resources either from the private sector or public sector, or by a combination from two.
A number of the above-mentioned studies examined clusters, cluster initiatives, their support and finance
on the worldwide basis (Sölvellet al. 2003, OECD 2007, Lindqvist et al. 2013) or concentrated on surveying finance
predominantly in European countries (Oxford Research AS 2008, Barsoumian et al. 2011, Lämmer-Gamp et al.
2011, Müller et al. 2012, Urbančíková and Burger 2014, Meier zu Köcker and Müller 2015). Other studies
analysedclusters and their support in groups of countries which are somewhat specific and demonstrate some
common features which frequently distinguish them from others (Ketels and Sölvell 2006 dealing with clusters in
the EU-10 new member countries, or Ketels et al. 2006 exploring clusters in developing and transition economies).
Similarly, part of the research studies concerned mainly financing clusters in some selected European countries
(Hantsch et al. 2013 clusters in Germany, France and Norway; and Sölvell and Williams, 2013 clusters in
Sweden).
These and numerous other studies have dealt with the issues of the best suitable methods of cluster funding,
the shares of public and private funds in cluster budgets, the amounts of financial support from public funds,
thelevels from which clusters should be supported (whether a local, regional, national or international level), the
methods of creating an optimum cluster programme, and the appropriate length of government cluster support.
Volume XI, Issue 5(43), Fall 2016
Conclusion
The structure of the individual types of funds in cluster budgets has developed in an interesting manner over
time. Shortly after defining clusters by Porter (1990), they mainly employed private resources to perform their
activities. Even today, the majority of clusters that came into existence before 2000 prefer private funds to public
funds in their budgets unlike the clusters that developed after 2000 (Sölvell et al. 2003 and Müller et al. 2012). As
a result, financial support provided for clusters in a number of countries in Europe and in the world, has become a
useful and frequently-used tool to improve the competitiveness of these countries, especially within some of their
specific regions. Several cluster programmes have been formed and which are still very successful and are still
currently operating (for example, Vinnväxtin Sweden, Pôles de Compétitivité in France, etc.).The share of public
funds seems to have stabilised over the last five years along with the changes in the structure of these in cluster
budgets in Europe(the Structural Funds and community programmes of the European Union, central government
subsidies, regional government subsidies, and local government subsidies), which are rather inconsiderable and
statistically insignificant in comparison to private funds.
In contrast, the structure of private funds in cluster budgets has experienced significant change. Membership
fees continue to play an important role, however, the majority of European clusters are able to gain just as much
private funds into their budgets by selling their own products or rendering their own services. Many of the clusters
operating in the IT sector have recently been generating more income from their own activities than by collecting
membership fees. These revenues further reduce membership fees for the individual cluster members or make it
possible to further develop the cluster. Similarly, the employment of resources from venture capital, crowd funding
circles such as “business angels”, and various donor gifts in European clusters has increased in the last five years,
which to a large degree follows the pattern of American clusters that have been quite frequently employing such
resources in their clusters since the 1990s (Alcazaret al. 2011, Muro and Katz 2010).
Three hypotheses were proposed in the paper. The first hypothesis assumed that „the share of private funds
in cluster budgets statistically increased significantly in 2016 in comparison with 2011“ and was shown to be untrue.
According to the surveys, the share of private funds in the budgets of the clusters in question has increased slightly
in the last five years; nevertheless, the identified differences are not statistically significant. The second hypothesis
assuming that “the differences identified in the shares of individual types of public and private funds in overall cluster
budgets between 2011 and 2016 are statistically significant” has been proved to be untrue as well. The changes
that occurred in the structure of public funds in cluster budgets are minimal. A slight decrease in the individual types
of such funds in the budget structures only follows the overall decrease of public funds in 2016 in general. Finally,
the third hypothesis stating that “the differences in the shares of individual types of private funds in overall cluster
budgets between 2011 and 2016 are statistically significant” holds true. Based on the 2016 survey, only one out of
four types of private funds in cluster budgets bank loans, the least frequently used source of finance, has not
undergone significant change since 2011. The other three explored types of private funds have changed
significantly. While the extent to which clusters financially depend on membership fees has dropped considerably,
that fact being statistically significant, the extent of generating revenues from the clusters´ own activities as well as
the access to venture capital and the resources from “business angels” and donor gifts have been significantly
larger in the last five years. Based on both the 2011 and 2016 surveys, Hypothesis 3 can be confirmed. That points
to the fact that clusters have recently restricted financing their activities by collecting higher membership fees and
have put more effort in actively gaining their own resources by selling their products successfully and providing
services for their customers more effectively, thus improving their competitiveness.
References
[1] Alcazar, J. C., Deseda, C. A., Kelchev A., and Navarro, F. 2011. Internet Based Services Cluster in Silicon
Valley. Final Report.
[2] Barsoumian, S., Severin, A., and van der Spek, T. 2011. Eco
Y
innovation and national cluster policies in
Europe: A Qualitative Review, Brussels. pp. 4-30. Available at: http://www.clusterobservatory.eu/eco/
uploaded/pdf/1315915223865.pdf (accessed January 11, 2016)
[3] Bogdan, A. M. 2011. European Union funds - a solution for the Romanian economic recovery. Journal of
Applied Economic Science, 6(2): 115 120. Available at: http://www.jaes.reprograph.ro/articles/summer
2011/JAES_summer_2011.pdf (accessed March 16, 2016).
[4] Charles, D., Damianova, Z., and Maroulis, N. 2009. Contribution of policies at the regional level to the
realisation of the European Research Area, pp. 26-27.
Journal of Applied Economic Sciences
[5] Chițu, I. B. 2012. The Real Impact of Projects Financed Through European Social Fund - Sectoral Operational
Programme for Human Resources Development- over Target Audience. Journal of Applied Economic
Science. 7(4): 366 - 372. Available at: http://cesmaa.eu/journals/jaes/files/JAESVolumeVII_
Issue4(22)_Winter2012_abstracts.pdf (accessed March 14, 2016).
[6] Field, A. 2005. Discovering Statistics Using SPSS (2nd Edition), SAGE Publications, London. pp. 542-550.
[7] Hantsch, S. et al. 2013. Cluster management excellence in Germany. European Secretariat for Cluster
Analysis (ESCA), Berlin. Available at: http://www.cluster-analysis.org/downloads/CountryReportGermany
2012.pdf (accessed June8, 2016).
[8] Hudec, O., Sisáková, J., Tartaľová, A., and Želinský, T. 2007. Statistical methods in Economics. Faculty of
Economics, Technical University in Košice. 161-169.
[9] Ketels, C., Lindqvist, G., and Sölvell, Ö. 2006. Cluster Initiatives in Developing and Transition Economies.
Stockholm: Center for Strategy and Competitiveness. pp. 22-23.
[10] Ketels, C., and Sölvell, Ö. 2006. Innovation Clusters in the 10 New Member States of the European Union.
European Commission. Available at: http://cordis.europa.eu/pub/innovation-policy/studies/docs/studies/
eucluster.pdf (accessed June 23, 2014).
[11] Lämmer-Gamp, T., Meier zu Köcker, G., and Christensen, T.A. 2011. Clusters Are Individuals - Creating
Economic Growth through Cluster Policies for Cluster Management Excellence. Danish Ministry of Science,
Technology and Innovation/Competence Networks Germany, Copenhagen/Berlin.pp. 22-23. Available at:
http://www.ictcluster.bg/Code/UserFiles/Files/6.%20clusters-are-individuals.pdf (accessed March 17, 2014).
[12] Lindqvist, G., Ketels, C., and Sölvell, Ö. 2013. The Cluster Initiative Greenbook 2.0. Stockholm: Ivory Tower
AB. pp. 23-24. Available at: http://www.czechinvest.org/data/files/the-cluster-initiative-greenbook-3916-cz.pdf
(accessed June 20, 2016).
[13] Lindqvist, G., and Sölvell, Ö. 2011.Clusnet final report - Organising clusters for innovation: Lessons from city
regions in Europe.Stockholm. pp. 47-48.
[14] Liptáková, E., and Čonková, M. 2011. Improving the quality of education at universities. Special edition of the
collection of scientific papers Geopolitics of Ukraine: History and contemporaneity, 6: 112-125.
[15] Meier zuKöcker, G., and Müller, L. 2015. Cluster Programmes in Europe. The Directorate-General for Internal
Market, Industry, Entrepreneurship and SMEs of the European Commission. Available at:
http://www.sgg.si/wp-content/uploads/2015/12/Cluster-Programmes-in-Europe.pdf (accessed July 11, 2016).
[16] Müller, L., Lämmer-Gamp, T., Meier zu Köcker, G., Christensen, T. 2012. Clusters are Individuals, Vol. II, New
Findings from the Cluster Management and Cluster Programme Benchmarking. Berlin. Available at:
http://www.cluster-analysis.org/downloads/ClustersareIndividualsVolumeIIAnnex.pdf
[17] Muro, M., Katz, B. 2010. The new “Cluster moment”: How regional innovation clusters can foster the next
economy.
[18] Pavelková, D. et al. 2009. Klastry a jejich vliv na výkonnost firem. Prague: Grada. pp. 111-112.
[19] Porter, M.E. 1990. The Competitive Advantage of Nations. New York: Free Press.
[20] Rothgang, M., Cantner, U., Dehio, J., and Engel, D. 2015. Accompanying evaluation of the funding instrument
“Spitzencluster-Wettbewerb” (Leading-Edge Cluster Competition) of the Federal Ministry of Education and
Research. RWI Materialien. No. 90.
[21] Santipolvut, S., and Mali, K. 2015. Industrial Cluster Development in Thailand: There is still a Long Road
Ahead. Journal of Applied Economic Sciences, 108(38): 1259-1267. Available at: http://cesmaa.eu/journals/
jaes/files/JAES_winter%208(38)_online.pdf (accessed January 11, 2016).
[22] Sheskin, D.J. 2007. Handbook of Parametric and Nonparametric Statistical Procedures (Fourth Edition).
Chapman and Hall/CRC.
[23] Sölvell, Ö. 2009. Clusters - Balancing Evolutionary and Constructive Forces. Stockholm. pp. 24-25.
[24] Sölvell, Ö., Ketels, C., and Lindqvist, G. 2003. The Cluster Initiative Greenbook. Stockholm. pp. 39-40.
Available at: https://www.hhs.se/contentassets/f51b706e1d644e9fa6c4d232abd09e63/greenbooksep03.pdf
(accessed July 7, 2014).
Volume XI, Issue 5(43), Fall 2016
[25] Sölvell, Ö., and Williams, M. 2013. Building the Cluster Commons - An Evaluation of 12 Cluster Organizations
in Sweden 2005 - 2012. Stockholm: Ivory Tower Publishers.
[26] Spišáková, E. (010. Inovačaktivity podnikov, možnosti financovania inovácií a ich reálne využitie. Košice.
pp. 56-75.
[27] Urbančíková, N., and Burger, P. 2014. Financing Clusters from Public Funds in the European Countries.
Journal of Applied Economic Sciences. Volume IX, 1(27): 148-157. Available at: http://cesmaa.eu/journals/
jaes/files/JAES_2014_Spring_short.pdf (accessed January 18, 2016).
[28] Urbančíková, N., and Burger, P. 2016. Centralised or decentralised public financing of clusters. Journal of
Business Economics and Management, 17(2): 267-282. Available at: http://dx.doi.org/10.3846/16111699.
2013.839477
*** OECD. 2007. Competitive Regional Clusters - National Policy approaches.pp. 88-91. Available at: http://artnet.
unescap.org/tid/artnet/mtg/gmscb_regionalclusters.pdf (accessed January 14, 2013).
*** Oxford research AS. 2008. Cluster Policy in Europe - A brief summary of cluster policies in 31 European
countries. Kristiansand, Norway. pp. 20-23. Available at: http://www.clusterobservatory.eu/system/modules/
com.gridnine.opencms.modules.eco/providers/getpdf.jsp?uid=100146 (accessed January 14, 2013).
Journal of Applied Economic Sciences
Impact of Tax Burden on the Country’s Investments
Ravil Gabdullaevich AKHMADEEV
Plekhanov Russian University of Economics, Moscow, Russia
ahm_rav@mail.ru
Mikhail Evgenievich KOSOV
Plekhanov Russian University of Economics, Moscow, Russia
kosovme@mail.ru
Olga Alekseevna BYKANOVA
Plekhanov Russian University of Economics, Moscow, Russia
bykanova@inbox.ru
Ksenia Valerievna EKIMOVA
Plekhanov Russian University of Economics, Moscow, Russia
ekimovak2003@yandex.ru
Svetlana Viktorovna FRUMINA
Financial University under the Government of the Russian Federation, Moscow, Russia
frumina@mail.ru
Natalia Vasilievna PHILIPPOVA
Plekhanov Russian University of Economics, Moscow, Russia
filippova25@mail.ru
Abstract:
The approaches to fiscal expansion and the corresponding methods are the same in most countries of the world.
Depending on a specific task, the type of tax incentives may vary from country to country to increase their efficiency. Having
analyzed the statistical data on all Russian enterprises (excluding small ones) for the period from 2008 to 2015, we deduced
an equation y=0.0221x+0.3824 which describes the dynamics of the share of the enterprises investment in the total number
of monetary assets. A positive value of the coefficient 0.0221 suggests that the volume of investments in the total number of
monetary assets is increasing steadily. The government increases tax burden to ensure solvency and financial stability of the
enterprises engaged in the development and implementation of investment projects. However, it should be noted that such
decisions of tax regulation seem inconsistent. We have proved the hypothesis which explains to what extent tax burden on
enterprises should be decreased to set the liquidity ratio and profitability at standard values (0.7 1), other conditions in the
country being equal.
Keywords: investment in fixed assets, tax burden, tax incentives, investment projects, depreciation policy of the company.
JEL Classification: E 200, E 220, E 620.
1. Introduction
A detailed classification of tax incentives has been developed in the general theory of taxes taking into
consideration taxation practices. One of the criteria in this classification is “the tax element which a tax incentive is
aimed at”. According to this criterion, tax incentives may be targeted to the taxpayer (tax exemption), the object of
taxation (this type of tax incentive is called “bite of taxes”), the tax base (“tax deductions”, “tax credit”, “investment
tax credit”), the tax rate (reduction of the tax rate), for the period of payment (postponement or paying tax in
installments). Another criterion for granting tax incentives is a time period for which the exemption is available. Tax
exemptions may be granted for a specified time period (tax holiday), or on a permanent basis without limitations on
the incentive duration.
The analysis of foreign practices related to tax incentives provision showed that by present moment a set of
specific tax incentives has been formed to encourage investment development. The approaches to fiscal expansion
and the corresponding tax incentive tools are standard. However, depending on specific tasks, the types of tax
incentives may vary from country to country, which increases their efficiency. For instance, the federal government
is concerned with developing principles of division of public authorities’ powers at various levels related to tax
incentives. In this article let us consider several principles of division.
Volume XI, Issue 5(43), Fall 2016
Conclusion
In the twenty first century, the issue of economic growth remains the most important problem of the market
economy. Attracting investment in the economy is the main prerequisite for ensuring economic growth. For Russia,
the issues of economic growth, expanding the investment activities are inextricably linked with the high level of
fixed assets depreciation. Index of basic production assets (BPA) depreciation in Russia, according to the
international economic associations, is at least 50%. Russian federal authorities estimate this figure at 45-65%,
and the Russian Federation research centers as at least 60-65%. So, the BPA wear rate exceeds the critical value,
which leads to a decline in production in most Russian industries.
Over recent years, Russia has shown a positive trend in the fixed assets renewal, and along with this, there
has been an increase in investment activity in almost all industries. In turn, this has led to the fact that in 2012 the
rate of fixed assets renewal exceeded the retirement rate for all types of economic activity. However, the degree of
fixed assets depreciation in different industries remains relatively high, remaining almost the same over the last
years (Table 6).
Table 6 Characteristics of the fixed assets wear rate
INDICATOR
Wear rate
Renewal
rate
Retirement
rate
For All Organizations
48.1
3.9
0.7
Agriculture, Hunting and Forestry
43.9
4.1
2.4
Fishing, Fish Farming
65.2
2.8
1.6
Mining
51.3
5.3
0.9
Manufacturing
48.0
5.9
0.9
Production and Electricity, Gas and Water Supply
47.9
4.2
0.4
Construction
50.6
4.8
2.0
Wholesale and Retail Trade; Repair of Cars, Motorcycles, Household
and Personal Use Items
40.5
6.3
1.0
Hotels and Restaurants
42.8
3.5
1.3
Transport and Communications
56.6
3.3
0.4
Financial Activities
42.4
8.8
0.7
Operations with Real Estate, Renting,
36.3
2.2
0.4
Public Administration and Defence; Social Welfare
53.7
6.9
1.3
Education
54.4
3.5
0.6
Health and Social
52.8
4.7
1.3
Other Community, Social and Personal Services
45.4
4.7
0.9
Having analyzed the international practices aimed at creating favorable tax climate for investment in a
county, we can draw the following conclusion.
First, despite the increase in investment, Russia still demonstrates one of the world’s highest levels of fixed
assets depreciation, which directly influences the volume and quality of Russia’s products, their competitiveness,
production costs and the efficiency of enterprises (Figure 3).
Journal of Applied Economic Sciences
Figure 3 The ratio of tax burden and the increase in investments in Russia
The value of the coefficient ZD#[\R]HP indicates a relatively high accuracy of the resulting equation of
the following function^#YK\P_
DJ]\`_Y[\S, which describes the dependence between the volume of
investments made by enterprises and the level of tax burden in the country. When a critical indicator of tax burden
in the country reaches 0.95 (granted that profitability rate equals 0.7), the volume of investments decreases and
the process becomes irreversible. Therefore, this equation provided us with a necessary and sufficient condition
that is required to determine the future strategy of the state with focus on increasing the volume of funds raised.
Second, the factors that hinder investment activities in the regions are the following: the lack of their own
funds, sporadic activities aiming to improve and adjust the investment policy of the region, the lack of mechanisms
(incentives), stimulating the regional authorities to attract investment; the lack of medium and small foreign investors
which affects the stability and sustainability of investment inflows. Using the method of linear interpolation, it is
possible to obtain a mid-term forecast on changes in the investment structure in various types. This refers to fixed
investment, investment in residential and nonresidential building construction, investment in transport and
equipment, as well as other types of investments (Figure 4).
Figure 4 Changes in the share of investment allocated by enterprises for their various types
Positive values of the coefficient in the equations^#[Q[[]]хJ[QK]]H and ^#[Q[[H`хJ
[Q[PKSidentify the positive trend to an increase in investment in buildings and facilities, as well as other types for
the Russian economy over the period of 20082015. At the same time, the negative values of the coefficient in the
equations ^#G[Q[[HHхJ[Qab[band ^#G[Q[[]SхJ[QHSPH illustrate the trend of a decreasing interest
in investments in fixed capital and housing, as well as in transport and equipment for the same period. In addition
to that, the lack of financial resources, especially at the regional level, remains one of the most painful problems
still unresolved. This impedes optimization of the structure of currently available investment sources and results in
underdevelopment of debt financing procedures and economic instability as a whole.
y = -1.528x2 + 2.903x -0.828
R² = 0.723
0
0,1
0,2
0,3
0,4
0,5
0,6
00,2 0,4 0,6 0,8 11,2
y!=!0,0022x!+!0,1223
y!=!-0,0033x!+!0,4406
y!=!-0,0028x!+!0,3853
y!=!0,0039x!+!0,0518
0
0,05
0,1
0,15
0,2
0,25
0,3
0,35
0,4
0,45
0,5
2008 2009 2010 2011 2012 2013 2014 2015
Volume XI, Issue 5(43), Fall 2016
References
[1] Akhmadeev, R.G. et al. 2016. Assessment of the tax base of the consolidated group of taxpayers in Russia
using the method of polynomial interpolation. Indian Journal of Science and Technology. 9 (12), March: 89533.
DOI: 10.17485/ijst/2016/v9i12/89533
[2] Amano, A. 1964. A further note on professor Uzawa’s two-sector model of economic growth. Review of
Economic Studies, 31: 97102. DOI: 10.2307/2296189
[3] Canova, F. 2007. Methods for Applied Macroeconomic Research. Princeton University Press.
[4] Clarida, R., Gali, J., and Gertler, M. 2000. Monetary policy rules and macroeconomic stability: evidence and
some theory. Quarterly Journal of Economics, 115: 147180. DOI:10.1162/003355300554692
[5] Dunn, J. 2009. A framework for environmental social and government considerations in portfolio design.
Working paper. AQR Capital Management. Available at: http://www.top1000funds.com/attachments/398
ESG%20Alpha%20Beta%20Framework.pdf
[6] Gali, J. 2008. Introduction to Monetary Policy, Inflation, and the Business Cycle: An Introduction to the New
Keynesian Framework. Princeton University Press.
[7] Hartley, J., Hoover, K. and Salyer, K. 1998. A user’s guide to solving real business cycle models. In Hartley,
J., Hoover, K. and Salyer, K. (Eds.) Real Business Cycles: A Reader. New York: Routledge Press.
[8] Hsia, С. 1981. Coherence of the modern theories of finance. Financial Review, 16(1): 27–42. DOI:
10.1111/j.1540-6288.1981.tb01617.x
[9] Lucas, R. 1976. Econometric policy evaluation: a critique. CarnegieRochester Conference Series on Public
Policy, 1: 1946. DOI:10.1016/S0167-2231(76)80003-6
[10] Modigliani, F., and Miller, M. 1958. The cost of capital, corporate finance and the theory of investment.
American Economic Review, 48(4): 261297. Available at: http://www.jstor.org/stable/1809766
[11] Modigliani, F., and Miller, M. 1963. Corporate income taxes and the cost of capital: a correction. American
Economic Review, 53(3): 433443. Available at: http://www.jstor.org/stable/1809167
[12] Nash, J. 1950. Equilibrium points in n-person games. Proceedings of the National Academy of Sciences,
36(1): 4849. DOI:10.1073/pnas.36.1.48
[13] Orlitzky, M., Frank, L., Schmidt, S., and Rynes, L. 2003. Corporate social and financial performance: a meta-
analysis. Organization Studies 24(3): 403441. Available at: http://community-wealth.org/content/corporate-
social-and-financial-performance-meta-analysis
[14] Reiss, P., and Wolak, F. 2007. Structural econometric modeling: rationales and examples from industrial
organization. Handbook of Econometrics, 6(A): 42774415. DOI: 10.1016/S1573-4412(07)06064-3
[15] Tsenina, E.V. et al. 2016. Indication of competitiveness of the potential of the region through Hurwitz and Wald
criteria. Global Journal of Pure and Applied Mathematics, 12 (1): 325-335.
*** Global Guide to R&D Tax Incentives Tax and Economic Interest Grouping. 2009. Available at: http://www.
avanzia.com.mt/Portals/31/documents/publications/global_guide_to_r&d_tax_incentives.pdf.
Journal of Applied Economic Sciences
Dropshipping: Accounting and Mathematical Models
Anca Mădălina BOGDAN
Faculty of Juridical, Economical and Administrative Sciences Craiova
Spiru Haret University, Romania
am2bogdan@gmail.com
Cristina POPÎRLAN
University of Craiova, Department of Informatics, Romania
cpopirlan@gmail.com
Abstract
The aim of this article is to present the accounting benefits of drop-shipping type transactions, transactions adopted by
more and more online retail merchants.
The greatest disadvantage of this transaction is that inventory is centralized at the supplier/manufacturer and therefore,
the risk of loss of inventory and control over transactions upon it, while the seller is responsible for the product marketing,
customer acquisition and delivery costs. Because of this accounting problem, the seller is obliged to pursue the profit for each
order, he having advantages only if the price of the supplier does not increase and if the delivery costs do not change. The
vendor must also know the optimal amount he must sell for profit.
Due to a business environment situated within a permanent change because of the economical crisis, entrepreneurs
need to promote electronic commerce and optimal solutions for accounting for a rising profit. To streamline dropshipping
transactions, we proposed a model for calculating the optimal quantity of the sold products and a registration into accounting
of the dropship bill modality.
Key-words: e-commerce, dropshipping, accounting, optimal order, mathematical model, accounting records.
JEL Classification: C61, M41
1. Introduction
Participation in e-commerce of the firms and the quick adaptation to changing markets, have become a
necessity due to competitive pressure made by new firms. A decrease of the costs and improve customer service
with e-commerce is no longer an option for the smallest and medium enterprises, but relates directly to their
continued existence on the market.
Electronic commerce generates overall entity lower cost than if they tried to improve the cost structure
starting from its components. Regarding the competitive mechanism, such changes lead to a market economy, to
major shifts. Electronic commerce or e-commerce refers to a wide range of online business activities for goods and
services. It also pertains to “any form of business transaction in which the parties interact electronically rather than
by physical exchanges or direct physical contact” (Khurana, Goel, Singh and Bhutani 2011).
E-commerce is the sale of products and/or services via Internet and the use of electronic communications
and digital information processing technology in business transactions to create, transform, and redefine
relationships for value creation between or among organizations, and between organizations and individuals
(Khurana, Goel, Singh and Bhutani 2011).
Dropshipping is a method of electronic retail sale through an online store, which does not store the products
they sell. If the store sells a product, it acquires the element from a third party and delivers it directly to the customer.
As a result, the trader does not come into direct contact with the product.
The biggest difference between dropshipping and standard retail model is that the merchant does not hold
an inventory (Granai 2008). Instead, the trader buys the products according to the demand from a third party -
usually an en-Grossiste or producer - to meet orders (Gan, Sethi and Zhou 2010).
Although in this study we treat a specific form of B2C (business to consumer) and dropshipping, we consider
it important to emphasize the role and place it between the other types of e-commerce:
§ Collaborative commerce (C-commerce). In this type of e-commerce, business partners collaborate
electronically. Such collaboration frequently occurs between and among business partners along the
supply chain.
§ Business to consumers (B2C). In this case, the sellers are organizations, the buyers are individuals.
§ Consumers to businesses (C2B). In this case consumers make known a particular need for a product or
service, and organizations compete to provide the product or service to consumers. (An example would
be Priceline.com, where the customer names the price and suppliers try to fulfil it.)
Volume XI, Issue 5(43), Fall 2016
§ Consumer to consumer (C2C). In this case an individual sells the products (or services) to other
individuals.
§ Intrabusiness (intraorganizational) commerce. In this case an organization uses e-commerce internally
to improve its operations. A special case of this is known as B2E (business to its employees) e-
commerce.
§ Government to citizens (G2C) and to others. In this case the government provides services to its citizens
via e-commerce technologies. Governments can do business with other governments (G 2G) as well as
with businesses (G2B).
§ Mobile commerce (m-commerce). When e-commerce is done in a wireless environment, such as using
cell phones to access the Internet, we call it m-commerce.
Dropshipping is often defined as an easy way to get into the e-commerce business. You set up a store and
whenever an order comes in, you simply email the supplier. They package up the item and ship it to your "customer",
and you keep the profit. You never even have to spend time or money keeping and tracking physical inventory.
This sounds great in theory. But like all formulas that promise to print money, this one is too good to be true. There
are certain reasons why success in this branch of trade is not as easy to achieve as it sounds, some of which are
presented in Table 1.
Table 1 - Benefits and limitations of dropshipping
Benefits of dropshipping
Limitations of dropshipping
Non-physical inventory
Low certainty of the product’s condition
No stocking requirements
Incertain stock status
Unlimited product variety
Difficult perisable product and goods shipping
Low human resources
Difficult clientele development
Small maintenance cost
High Shipping Costs
Easy acces to information via Internet
Shipping Delays
Flexible working program
Large orders may block their delivery
Marketing investments required rather than inventory investments
Time spending and high costs for product promotion
Source: authors’contributions
There are certain conditions that state the economical superiority of dropshipping next to the traditional
means of distribution. Though the fact that dropshipping is growing as a distribution system, there are cases when
adopting this apparatus is not the best economical choice for the channel members. Sometimes only the
manufacturer would favour dropshipping (Özer and Wei 2006). The inefficiency of the traditional system is caused
by the lack of coordination so dropshipping comes as a second option where the lot-sizing decision is made by the
manufacturer.
Dropshipping can be an easy way to get started selling online. But always remember that dropshipping isn't
a magic formula to make you rich. Building a business does take a certain amount of hard work, and this is no
exception. The real "magic" is that dropshipping allows you to invest your money in marketing rather than inventory.
A well-planned marketing strategy is what will ultimately help you build a lucrative income (Granai 2008).
Journal of Applied Economic Sciences
Conclusions
The motivation for this research is drawn from the idea that everyone, especially youth, is chasing an easy
way, no cost, no "registry", without major obligations but to obtain a huge profit. But nobody thinks that, in general,
what is easy is outdated. Regarding dropshipping transactions, it seems relatively easy to get and launch such a
firm. There is the possibility to open a site that runs selling the latest products, buyers launch online orders at any
time of the day and night, so that, as vendor, you shall not be connected non-stop with the seller.
The question is: Why should your site visitors buy from you and not from other 100 sites that sell the same
product? Maybe if you provide quality guarantee, if you could guarantee a rapid distribution, your business would
be a priority for the customer. But it is hard to get distinguished from the existing products in thousands of other
sites. As shown in this research study, to cheapen the value of orders, there is not a solution because you will be
selling and loosing. There is always someone willing to sell cheaper, and margins on elements that can be
distributed via dropship may be too small to start a business with them. You do not have too much flexibility.
In our opinion, to do dropshipping correctly, you will need to write unique descriptions per product. It takes
time and/or money, even more than if you were selling products truly unique.
From the study, we conducted, we found that the most important elements influencing the order and the
profit are the shipping costs and even the time spent lifting and delivering the orders. These issues must be clearly
defined when concluding contracts with transport companies so that unprofitable business development gaps fail
to appear.
In conclusion, through the conducted study, we demonstrated that the essential factor for profitable
dropshipping business type is determined by establishing an optimal point between transport costs and acquisition
costs for each transaction. This aspect can be revealed most efficiently by using the mathematical model proposed
in this research paper.
References
[1] Battini, D., Persona, A., and Sgarbossa, F. 2014. A sustainable EOQ model: Theoretical formulation and
applications, International Journal of Production Economics, 149: 145-153.
[2] Bogdan, A. M. 2009. An approach of the relationship between financial audit and accounting financial
controlling, Young Economist Journal, Volume VII, 12: 61-66.
[3] Bogdan, A. M. 2007. The dynamic modeling as a financial audit procedure, Economic Informatics Journal, 1(41):
92-97. Available at: http://revistaie.ase.ro/content/41/bogdan%20madalina.pdf
[4] Gan, X., Sethi, S. P. and Zhou, J. 2010. Commitment-penalty contracts in drop-shipping supply chains with
asymmetric demand information, European Journal of Operational Research, 204: 449-462.
[5] Granai, G. 2008. Starting Your Drop Shipping Business, A – Z, Poland Chamber.
[6] Kannan, G., Grigore, M. C., Devika, K., and Senthilkumar, A. 2013. An analysis of the general benefits of a
centralised VMI system based on the EOQ model, International Journal of Production Research, 51(1): 172-
188.
[7] Khurana, H., Goel, M., Singh H. and Bhutani, L. 2011. E-Commerce: Role of E-Commerce in Today’s Business,
VSRD-IJBMR, 1(7): 454-461.
[8] Marimon, F., and Llach, J. 2013. EOQ Model: The Case in Which the Placing of Orders Is Rewarded, Human
Factors and Ergonomics in Manufacturing & Service Industries, 23(6): 573-581.
[9] Özer, Ö. and W. Wei, 2006. Strategic commitment for optimal capacity decision under asymmetric forecast
information, Management Science, 52(8): 1238-1257.
[10] Porteus, E. 1985. Investing in Reduced Setups in the EOQ Model, Management Science, 31(8): 998-1010.
[11] Turban, E. 2008. The structure and components of the business model of E-Commerce. Available at:
wps.prenhall.com/wps/media/objects/5073/5195381/pdf/Turban_Online_AppB.pdf
[12] Van der Veen, J., and Venugopal, V. 2014. Economic and Environmental Performance of the Firm: Synergy
or Trade-Off? Insights from the EOQ Model, Handbook of EOQ Inventory Problems, International Series in
Operations Research & Management Science, 197: 121-137.
Volume XI, Issue 5(43), Fall 2016
1010
ISSN 2393 5162 ISSN - L 1843-6110
... Singh (2015) analyzed the relationship between Bombay Stock exchange (Indian Stock Market) and macro-economic variables. Azizah and Satria (2016) investigated the relationship between Indonesian Sharia Stock Index (ISSI) and macro-economic variables as independent variables. ...
... Stock market index impacts also wholesale price index in both short and long run. Azizah and Satria (2016) investigated the relationship between Indonesian Sharia Stock Index (ISSI) and macro-economic variables as independent variables, namely, Consumer Price Index (CPI)-the proxy for inflation rate, interest rate, and exchange rate, and money supply, study employed co-integration VECM to ascertain long term and short-term relationship. The study found no relationship in short run between ISSI and macro-Volume 8, No 1/2019 | GDEB economic variables. ...
Article
Full-text available
This study aims to analyze and investigate the factors influencing returns of Islamic and conventional mutual funds in Pakistan. Furthermore, this study aims to investigate whether macroeconomic and systematic factors affect Shariah compliant Equity, Income and Assets allocation Mutual Funds differently as compared their conventional counterparts. Different statistical techniques like correlation and regression analysis were applied to study their effect. The study concluded that macro-economic factors have an impact on both conventional and Islamic mutual funds however their impact seems to be insignificant at large. Overall funds behaved negatively with discount rate, inflation and GDP, whereas positively with trade and market index. Apart from income funds that were affected positively with discount rate. Furthermore, income funds were not affected by market index. Moreover, inflation and GDP that is usually backed by higher interest rates, also effects overall returns negatively. There was no significant difference in the behavior among the Islamic and conventional funds with respect to the above-mentioned factors. Lastly, there was high correlation among both the equity and asset allocation based mutual funds (both Islamic and conventional). It was also found that asset allocation funds had close resemblance to equity-based funds as compared to income-based funds in term of factors influencing their returns, which suggested that most of the asset allocation funds have more portion of equity as compared to debt and could be considered high risk. Hence, they seem to be against Modern portfolio theory Markowitz (1952) presuming it to be in a minimum level of risk.
... In addition, the stock price value of the capital market comes to the core consideration for investing such fund (Bian, Lin, & Liu, 2018). The stock prices are not only influenced by economic factors and domestic phenomena, but external factors outside the country is very influential on the performance of sharia stocks also (Aloui, Hammoudeh, & Hamida, 2015;Azizah, Satria, & Wahyudi, 2016;Dash & Maitra, 2018). ...
Article
Full-text available
This article emphasizes to analyze the effect of macroeconomic variables on sharia capital market in Indonesia by using Vector Error Correlation Model (VECM) approach method. The variables used are world oil price, Industry Production Index (IPI) Currency Exchange Rate to Dollar and Consumer Price Index (CPI) in Indonesia. The research show that in the Indonesian Stock Sharia Index (ISSI) model, the VECM in the ISSI model can explain in the short term the IPI variable, world oil price, rupiah to dollar, DJIA and CPI does not affect to ISSI variable. While in the long term, world oil prices are positive climate and Dow Jones Industrial Average (DJIA) variables negatively affect ISSI. In addition, FEVD test the world oil price has more dominant contribution than other variable 6.02%. Keywords: sharia capital market, macroeconomics, VECM, ISSI
... ck returns and examine how they were influenced by macro-economic variables. Muhammad Rizky et. al (2013) Study investigated the relationship between Jakarta stock Exchange Islamic Index and macro-economic variables. Dr. Gurmeet Singh (2015) analyzed the relationship between Bombay Stock exchange (Indian Stock Market) and macro-economic variables. Azizah et. al (2016) Study investigated the relationship between Indonesian Sharia Stock Index (ISSI) and macro-economic variables as independent variables. ...
... ck returns and examine how they were influenced by macro-economic variables. Muhammad Rizky et. al (2013) Study investigated the relationship between Jakarta stock Exchange Islamic Index and macro-economic variables. Dr. Gurmeet Singh (2015) analyzed the relationship between Bombay Stock exchange (Indian Stock Market) and macro-economic variables. Azizah et. al (2016) Study investigated the relationship between Indonesian Sharia Stock Index (ISSI) and macro-economic variables as independent variables. ...
Article
Full-text available
This study aims to examine the spillover and contagion effects of global financial markets on the Indonesian Sharia Stock Index (ISSI) post-COVID-19. The study uses the Vector Error Correction Model method to explore the short-term and long-term relationships between ISSI and global financial markets. The data used in this study are time series data, namely the ISSI and several other countries that have a significant influence on the global economy, which were observed from May to July 2022. The results of the study show that the USD has a positive influence on ISSI in the short and long term. At the same time, the JPY and HKD have a negative influence on ISSI. The GBP and SGD do not have a significant influence on ISSI developments. The economic, business and financial sectors began to adjust after the COVID-19 pandemic ended, including the Indonesian Sharia Stock Index. Contagion occurs from one country’s financial system to another, which is influenced by aspects of volatility, exchange rates, the global crisis, the stock market, and stock indices. It is considered that this study can help the government to adjust better conditions of Islamic stocks in Indonesia. Acknowledgment The authors would like to thank the Research and Innovation Institute (LRI), Universitas Muhammadiyah Surakarta, for the enormous financial support in writing this study through the HIT funding scheme with number 02/A.6-II/FAI/1/2022.
Article
Full-text available
Article Info Article History Berdasarkan teori Eficiency Market Hypothesis (EMH) terbentuknya harga saham merupakan refleksi dari keseluruhan informasi baik dari dalam perusahaan maupun informasi dari luar. Besarnya dampak faktor eksternal seperti ekonomi makro dan imbal hasil dalam mempengaruhi harga saham merupakan perhatian serius para investor dalam melakukan investasi. Perkembangan progresif perbankan syariah di Indonesia mampu menarik minat investor sehingga menjadikan saham perbankan syariah menjadi salah satu saham yang cukup diminati di pasar saham. Penelitian ini mencoba menggali secara empiris hubungan antara faktor ekonomi makro dan imbal hasil deposito bank syariah terhadap harga saham sektor perbankan khususnya bank syariah yang terdaftar di Bursa Efek Indoensia. Setelah dilakukan pengujian dengan fixed effect model (FEM), hasil penelitian menyimpulkan bahwa suku bunga berpengaruh negatif sedangkan tingkat imbal hasil deposito bank syariah berpengaruh positif terhadap harga saham bank syariah, sedangkan nilai tukar dan inflasi tidak memiliki pengaruh secara statistik terhadap harga saham bank syariah. PENDAHULUAN Pasar saham merupakan bagian dari pasar modal yang memainkan peran penting dalam meningkatkan pertumbuhan ekonomi suatu negara. Kinerja indeks pasar saham bahkan telah umum digunakan sebagai cerminan dari kondisi ekonomi suatu negara, dimana semakin tinggi kinerja suatu bursa efek, maka semakin tinggi pula aktivitas investasi di negara tersebut. Aktivitas investasi yang semakin membaik menandakan adanya peningkatan modal dari kegiatan produksi perusahaan yang pada gilirannya mampu mempengaruhi perekonomian negara tersebut (Nor Hadi, 2013).
Technical Report
Full-text available
This study examines the role of policies at the regional level to the realisation of the European Research Area (ERA). The focus of this study is specifically on: · Whether the regions are developing policies that help to build the internal market for researchers through support for mobility and circulation of researchers, technology and knowledge; · What kind of coordination of policy is taking place between the regions and national and EU policies, and specifically the policies to promote greater research and innovation and the creation of the underlying environment for innovation, especially through the development of specialised research driven clusters that show complementarities between regions; · What indications there are of the degree of integration between regions as seen through the development of appropriate indicators.
Book
Full-text available
The analyses has provided a comprehensive set of infor- mation and new knowledge about the characteristics of cluster management organizations and clusters in terms of age, size, composition of membership, regional concentration and nancing. The key ndings of the comprehensive benchmarking analyses of cluster man- agement organizations include: • Research-driven clusters are much more similar to industry-clusters than previous research suggested; • Clusters with a small or high share of public funding are similar in terms of structure and governance, but di er- ent in terms of impact; • The visibility and attractiveness of a cluster and the impact of the cluster management organization on SME development depends its age and size; apparently, larger and matured clusters provide a much better environment for results and impacts through activities of a cluster management organization; • The structural characteristics of a cluster in terms of e.g. size, governance structure or degree of specialization as well as the impact of the work of a cluster manage- ment organization depend on the technology eld it is operating in; • Clusters with a high impact on business activities of SME feature an active cluster management organization in terms of spectrum and frequency of business-related services.
Chapter
This compilation integrates various new contributions to the growing real options literature. Recent developments in the valuation of capital investment opportunities seen as real options (e.g. to defer, expand, abandon, or switch) have provided the tools and unlocked the possibilities to revolutionize the field of capital budgeting. The resulting insights, strategies, and techniques enable quantifying the thus far elusive elements of managerial operating flexibility and strategic interactions. These are vital to successfully capitalize on favorable future investment opportunities or limit losses from adverse market developments. This book presents various models and operating strategies, and a variety of applications ranging from acquisitions and divestitures, to natural resource development and pollution compliance. It is intended for both the academic and the professional market. The book's contributions are divided into five parts, covering sections on real options and alternative valuation paradigms for capital investment analysis; on the analysis of general exchange or switching options, and interdependencies among multiple such options; on strategic acquisitions, infrastructure, and foreign investment options; on mean reversion/ alternative formulations in natural resource investments, shipping, and start-up ventures; and on other applications in pollution compliance, land development, flexible manufacturing, and financial default options. Both academic and practitioner interest in these developments is unusually high. The book can serve as supplementary material for the academic market, e.g., in advanced finance courses in option pricing or capital budgeting, in doctoral seminars, and as a library resource. It may also be of interest to the professional market (e.g. corporate planners and finance executives in the oil, pharmaceutical, auto and a variety of other industries), academics from related areas (e.g. decision analysts or economists), as well as to international readers (academics, doctoral students, and professionals).
Article
This paper examines the impact of the oil price boom in the 1970s and the subsequent bust on non‐oil economic activity in oil‐dependent countries. During the boom, manufacturing exports and output increased significantly relative to non‐oil countries. These measures decreased gradually during the bust and subsequent period of low prices, displaying a positive relationship with oil prices. However, exports of agricultural products sharply decreased during the boom. Imports of all types of goods displayed strong pro‐cyclicality with respect to oil prices. The results suggest that increased local demand and investment spillovers from the windfall resulted in increased manufacturing activity. Résumé Syndrome hollandais, flambée et baisse des prix du pétrole. Cet article étudie l’incidence de la flambée du pétrole dans les années 1970 puis l’effondrement des prix qui suivit sur les activités économiques des pays pétroliers non liées à l’or noir. Pour ces pays, au cours de la période de flambée des prix, les exportations et la production augmentèrent de façon significative, contrairement à celles des pays non pétroliers, puis diminuèrent graduellement au cours de la période de bas prix subséquente, établissant ainsi un rapport direct entre production/exportations et prix du pétrole. Néanmoins, au cours de la période de flambée des prix, les exportations de produits agricoles des pays pétroliers diminuèrent sensiblement. Les importations de marchandises de tous types affichèrent une forte procyclicité corrélativement aux prix du pétrole. Les résultats suggèrent que l’augmentation de la demande locale ainsi que les investissements liés aux retombées de la manne pétrolière engendrèrent une augmentation de l’activité manufacturière.
Book
This book clearly shows the importance, usefulness, and powerfulness of current optimization technologies, in particular, mixed-integer programming and its remarkable applications. It is intended to be the definitive study of state-of-the-art optimization technologies for students, academic researchers, and non-professionals in industry. The chapters of this book are based on a collection of selected and extended papers from the “IMI Workshop on Optimization in the Real World” held in October 2014 in Japan.
Article
This book provides a concise introduction into the fundamentals and applied techniques of multiple criteria decision making in the finance sector. Based on an analysis of the nature of financial decisions and the general methods of financial modelling, risk management and financial engineering, the book introduces into portfolio management, banking management and credit scoring. Finally the book presents an overview of further applications of multi criteria analysis in finance and gives an outlook on future perspectives for the application of MCDA in finance.