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Rankingi atrakcyjności inwestycyjnej jako narzędzia identyfikacji i selekcji kluczowych czynników determinujących atrakcyjność inwestycyjną krajów

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Rankingi atrakcyjności inwestycyjnej mogą dostarczyć cennych informacji inwestorom, przedsiębiorstwom i decydentom. Ważne jest jednak, aby wziąć pod uwagę zarówno zalety, jak i wady związane z tymi rankingami. Rankingi atrakcyjności inwestycyjnej często wykorzystują znormalizowane wskaźniki i metodologie, zapewniając spójne ramy oceny krajów. Może to pomóc inwestorom w podejmowaniu bardziej świadomych decyzji, opierając się na obiektywnych i wiarygodnych danych. Rankingi atrakcyjności inwestycyjnej należy postrzegać jako jedno z wielu narzędzi do oceny możliwości inwestycyjnych. Mogą one dostarczać przydatnych informacji, ale powinny być wykorzystywane z rozwagą w połączeniu z innymi badaniami w celu podejmowania świadomych decyzji inwestycyjnych. Głównym celem podjętych badań jest przedstawienie istoty i specyfiki różnych rankingów atrakcyjności inwestycyjnej krajów (regionów) oraz wskazanie głównych zalet i wad poszczególnych rankingów wykorzystywanych do oceny atrakcyjności krajów. Trzy z pięciu badanych ogólnych technik polegają przede wszystkim na wyszukiwaniu ukrytych zagrożeń, w konsekwencji pomijając potencjał danego regionu. Jednocześnie, w niektórych przypadkach, potencjalne korzyści mogą zrównoważyć wszystkie obecne zagrożenia dla inwestora. Jest to powszechne zjawisko w szybko rozwijających się gospodarkach w okresie przejściowym. Procedury wysoce wyspecjalizowane przewyższają procedury uniwersalne pod względem zakresu informacyjnego, ale nie spełniają swojej funkcji operacyjnej.
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Piotr Misztal
Uniwersytet Radomski; e-mail: p.misztal@urad.edu.pl
https://orcid.org/---
Vasili Kulakou
Uniwersytet Jana Kochanowskiego wKielcach; e-mail: vasili.kulakou@ujk.edu.pl
https://orcid.org/---
Investment Attractiveness Rankings as Tools
for Identication and Selection of Key Factors
Determining Investment Attractiveness of Countries
Rankingi atrakcyjności inwestycyjnej jako narzędzia identykacji iselekcji
kluczowych czynników determinujących atrakcyjność inwestycyjną krajów

Investment attractiveness rankings can provide valuable insights for investors, businesses, and
policy-makers. However, it is important to consider both the pros and cons associated with these
rankings. Investment attractiveness rankings oen employ standardized metrics and methodol-
ogies, providing aconsistent framework for evaluating countries. is can help investors make
more informed decisions by relying on objective and comparable data. It is important to view
investment attractiveness rankings as one tool among many for evaluating investment opportu-
nities. ey can provide useful insights but should be used in conjunction with other research
and due diligence to make well-informed investment decisions.
e main goal of the undertaken research is to present the essence and specicity of various
rankings of investment attractiveness of countries (regions) and to indicate the main advantages
and disadvantages of individual rankings used to assess the attractiveness of countries.
ree of the ve general techniques investigated are primarily concerned with nding hidden
threats, consequently overlooking the potential of the host region. At the same time, in some
circumstances, potential rewards can oset all present risks for the investor. is is acommon
occurrence in rapidly rising economies in transition. In turn, specialized procedures outperform
universal ones in terms of information coverage but fall short in terms of operational comp onent.
K: international competitiveness, attractiveness rankings, foreign direct investments

Rankingi atrakcyjności inwestycyjnej mogą dostarczyć cennych informacji inwestorom, przed-
siębiorstwom idecydentom. Ważne jest jednak, aby wziąć pod uwagę zarówno zalety, jak iwady
związane ztymi rankingami. Rankingi atrakcyjności inwestycyjnej często wykorzystują znormalizo-
wane wskaźniki imetodologie, zapewniając spójne ramy o ceny krajów. Może to pomóc inwestorom
wpodejmowaniu bardziej świadomych decyzji, opierając się na obiektywnych iwiarygodnych
danych. Rankingi atrakcyjności inwestycyjnej należy postrzegać jako jedno zwielu narzędzi do
oceny możliwości inwestycyjnych. Mogą one dostarczać przydatnych informacji, ale powinny być
https://doi.org/10.31743/ppe.17469

Przegląd Prawno-Ekonomiczny 1/2025
30
wykorzystywane zrozwagą wpołączeniu zinnymi badaniami wcelu podejmowania świadomych
decyzji inwestycyjnych.
Głównym celem podjętych badań jest przedstawienie istoty ispecyki różnych rankingów
atrakcyjności inwestycyjnej krajów (regionów) oraz wskazanie głównych zalet iwad poszczególnych
rankingów wykorzystywanych do oceny atrakcyjności krajów.
Trzy zpięciu badanych ogólnych technik polegają przede wszystkim na wyszukiwaniu ukry-
tych zagrożeń, wkonsekwencji pomijając potencjał danego regionu. Jednocześnie, wniektórych
przypadkach, potencjalne korzyści mogą zrównoważyć wszystkie obecne zagrożenia dla inwestora.
Jest to powszechne zjawisko wszybko rozwijających się gospodarkach wokresie przejściowym.
Procedury wysoce wyspecjalizowane przewyższają procedury uniwersalne pod względem zakresu
informacyjnego, ale nie spełniają swojej funkcji operacyjnej.
S : konkurencyjność międzynarodowa, rankingi atrakcyjności, bezpośrednie
inwestycje zagraniczne

e primary goal for any economic system, regardless of its scale, is to ensure
sustainable and progressive development. Achieving this requires the systems
ability to attract investment resources, as investment attractiveness largely de-
termines the systems competitiveness in dierent markets in terms of capital,
labor, and innovation (Misztal & Kulakou, ).
When deciding where to invest capital, it is critical for an investor to have as
complete and reliable information as possible about both the benets (growing
markets, cheap labor, infrastructure development, etc.) and potential risks
(economic, political, legal, etc.) that await him in the destination country. Only
with acomplete information picture based on both statistical indicators of
the country’s development and expert assessments can abalanced defensible
decision be made that reduces the possibility of inecient investment location.
As aresult, both internal and foreign investors must conduct athorough exam-
ination of the investment climate before making any nal decisions on capital
investment execution.
It should be noted here that the consumer of information on the results of
assessing the investment attractiveness of acountry (or aseparate region) is not
only the business community, but, and sometimes even to agreater extent, govern-
ment authorities at various levels. As arule, such assessments serve as avaluable
source of information about the most problematic issues in various spheres of
the state’s life that hinder its normal development. e availability of reliable and
timely information that reects reality adequately is the key to the formation of
1/2025 Przegląd Prawno-Ekonomiczny 31
asuccessful investment policy with clearly dened priorities, which allows attracting
investments in precisely those sectors that really need them.
Hence, the main goal of the research is to present the essence and specicity
of various rankings of investment attractiveness of countries (regions) and to
indicate the main advantages and disadvantages of individual rankings used
toassess the attractiveness of countries.

e investment climate is shaped by acomplex set of interrelated factors, and
investors consider acombination of dierent economic and non-economic deter-
minants when making decisions. Countries that create an environment of political
stability, economic growth, strong infrastructure, transparent regulations, and
open markets tend to be more attractive to both domestic and foreign investors.
Numerous attempts to identify the criteria for categorizing the premises that
lead to an increase in the company’s involvement in activities on international
markets are found in the literature on the issue, and these eorts are crucial for
determining the consequences that follow. In the literature on the topic, motiva-
tions, such as seeking resources, looking for markets, increasing the company’s
productivity, and gaining strategic assets and competencies, are most commonly
mentioned (Dunning & Lundan, ).
Bellak, Leibrecht and Damijan () show that ahigh corporate income
tax rate reduces the protability of foreign direct investment. Economically
developing countries are viewed as appealing destinations for FDI inows
due to their comparative advantages, which include low labor costs, compel-
ling pro-investment government policies, an abundance of raw materials, and
massive natural resources. Nonetheless, given their limited nancial resources
and the heavy pressure on the budget decit, it is fair for the governments of
these nations to levy high tax rates in order to provide enough budget revenues.
In today’s economy, tax competition among countries to attract foreign direct
investment is becoming aworldwide issue. Investors frequently examine tax
rates between nations with similar-sized and geographically distributed markets.
Wei () gathered data from forty-ve countries. e model was estimated
using the Tobit method. e study’s ndings revealed that corruption has aneg-
ative impact on foreign direct investment inows. Using panel and cross-sec-
tional data, Abed and Davoodi () explored the relationship between per
capita FDI ows in transition economies and levels of corruption. e ndings
Przegląd Prawno-Ekonomiczny 1/2025

indicate that nations with lower levels of corruption attract more foreign direct
investment (FDI). However, when an institutional reform control variable was
added to the model, the corruption variable lost signicance. is analysis thus
reveals an important conclusion: institutional change, rather than corruption
reduction, is more signicant for attracting foreign direct investment(FDI)
inows to diverse countries.
Economou, Hassapis, Philippas and Tsionas () investigated FDI inow
drivers in  OECD and  developing (non-OECD) countries from  to ,
employing both classic xed eects and adynamic panel approach. e study’s
most substantial nding was that lagged FDI, market size, gross capital creation,
and corporation taxes all had asignicant impact on FDI inows in OECD nations.
Kumari and Sharma () conducted research on the impact of the size of
the host country’s market on foreign direct investment ows. ese studies, while
not conclusive, provide evidence for the macroeconomic factors inuencing
foreign direct investment inows in both industrialized and developing coun-
tries. According to studies on the impact of eciency on FDI ows, the degree
of human capital development and associated costs has asignicant impact on
the country’s FDI intake. According to Braconier, Norbäck and Urban (),
lower labor costs improve acountry’s ability to attract foreign direct investment.
Human capital is asignicant driver of foreign direct investment ows.
Zheng () examined and analyzed the determinants of foreign direct
investment inows in India and China taking into account both host and home
country characteristics. His research found that labor costs, market growth,
country political risk, imports, and policy liberalization were the most important
drivers for both countries. Cultural and geographical distance considerations
were crucial for Indian FDI, but market size, exports, and borrowing costs were
key for Chinese FDI.
Kim and Yang () used the panel quantile regression model to examine
the factors that inuenced FDI inows to Korea between  and . ey
discovered that GDP, employment, and human resource education levels in
the host country were signicant predictors of FDI inows only when the inow
was modest. However, corruption and anti-environmental investment levels
were statistically signicant predictors of middle- and high-level FDI inows.
Research conducted by Dellis, Sondermann and Vansteenkiste () indicates
that basic rights, such as the rule of law, property rights, or regulatory eciency,
are important for FDI decisions, but well-functioning labor and product markets
are also important factors for foreign investors. In addition, such determinants
of FDI inows as labor costs, the size of the target market, the trade openness
1/2025 Przegląd Prawno-Ekonomiczny 33
of the recipient country, and its propensity to tax economic entities are equally
important for potential investors.
Moreover, according to the ndings of astudy done by Lee, Kang and Lee
() across  nations between  and , developing economies rely
heavily on economic indicators to draw foreign direct investment. Additionally,
it is demonstrated that social indicators have acomparatively greater impact
on FDI inows in industrialized economies than economic indicators. Lastly,
in both established and developing economies, there is aweak and statistically
insignicant correlation between institutional variables and FDI inows.

Various methodologies have been developed to analyze the investment climate
(attractiveness) of countries and areas based on research undertaken by rating
agencies, business schools, and scientic and research institutions. e number
and composition of the examined indicators vary between techniques, as do
the methods used to estimate their qualitative and quantitative features, evalua-
tion ranges, and so on. It should be noted that the sets of elements that comprise
the investment climate are oen arbitrary and, in some cases, subjective.
e analysis will consist of two stages:
.
Initial (general) analysis: its main task is the general assessment and
comparison of the studied methodologies;
. Component (detailed) analysis: it aims to select the most universal, sig-
nicant and frequently used factors in assessing the investment climate.
Taking into account the fact that in the last three decades anumber ofap-
proaches have been developed to assess the investment attractiveness of
post-Soviet economies the rst part of the analysis will consist of two sub-stages.
At the rst sub-stage, it is supposed to examine the most common universal
methodologies in international practice, such as:
Harvard Business School methodology;
“Euromoney” magazine methodology;
BERI Index;
Forbes magazine methodology;
e Venture Capital and Private Equity Country Attractiveness Index.
In addition, the World Bank group’s actions for the Doing Business and
Business Enabling Environment projects will be reviewed. Previous research
has developed aclassication of the factors inuencing acountry’s (region’s)
Przegląd Prawno-Ekonomiczny 1/2025
34
investment climate into seven major groups: economic and nancial, political,
legal, geographic, socio-demographic, technological, and infrastructural (Kulak-
ou, ). is classication will serve as the basis for adetailed investigation of
the category under consideration. is will enable us to discover not just specic
factors, but also broad themes that experts emphasize when conducting com-
parative assessments of investment attractiveness (Misztal & Kulakou, ).
It should be noted that the techniques of grouping specic factors within
the frameworks of various methodologies varied slightly from those given by
us. For example, Euromoney magazine’s methodology classies so infrastructure
components (development of the social environment, medicine, and so on) as
structural hazards, but we recommend classifying them as socio-demographic
factors. Within the framework of this study, in order to unify the analysis, we
will follow the author’s approach to determinant grouping.
ere are numerous techniques to analyze and categorize methodologies
for assessing investment climate (attractiveness) in the scientic literature, de-
pending on the criteria used. e most prevalent criteria include the following:
.
e approaches behind the evaluation (risk, factorial, integral-factoral,etc.;
Narolina, ; Sheveleva & Nacheva, ).
.
Assessment objectives (identifying dangers or determining the re-
gion’s potential, identifying investment-attractive places, etc.; Yakushev
&Mazilov,).
. Balanced qualitative and quantitative assessments (Khusnullin, ).
. e format in which the nal results are presented (rating scale, matrix,
general quantitative assessment, etc.; Vakulich & Kliuchnyk, ).
Furthermore, during the analysis, researchers oen concentrate on the ap-
proaches’ comparative characteristics, the assessment of their advantages and
disadvantages, and the set of estimated indicators (Alexandrova, ). While
appreciating the importance of all of the methodologies explored, it is worth
noting that the bulk of them disregard certain critical criteria for methodology
analysis and classication. In our opinion, such factors include the approach’s
intricacy (i.e., applicability) and information coverage (i.e., how comprehensively
the methodology depicts present opportunities and threats).
As aresult, aer researching numerous ways to comparative analysis and
methodology categorization for analyzing the investment climate, we deter-
mined that acomparative analysis of the techniques would be conducted within
the context of our study using four primary criteria. e classication will be
based on the Applicability matrix that we built.
1/2025 Przegląd Prawno-Ekonomiczny 
For acomparative analysis of investment climate assessment methodologies,
we selected the following key characteristics:
information coverage– the number of analyzed determinants and groups
(out of  selected groups);
ease of use– the complexity of the analysis algorithm and whether special
knowledge and skills are required for its implementation;
the range of approaches being used– i.e. on the basis of what kind of
assessment is carried out: are these only expert assessments, or is there
aquantitative analysis, integral indicators, etc.;
availability of information– how easy it is to access the information
needed for analysis.
Each criterion will be evaluated on afour-point scale:
“-”– negative assessment,
“-/+”– more negative assessment with apositive component,
“+/-”– more positive assessment with anegative component,
“+”– positive assessment.
In essence, these criteria separate two primary components: informational
(information coverage) and operational (breadth of approaches employed, ease
of use, and ability to retrieve critical information). To provide amore visual
depiction of the analysis results, we developed amatrix of ways for measuring
the investment climate (attractiveness) (AM). It is comprised of four group quad-
rants, each of which is further divided into four quadrants for ease of assessment.
us, its overall dimensions are x. e matrix’s horizontal axis represents
the level of information coverage (information component), while the vertical
axis represents the average value of estimates of the breadth of the approaches
utilized, ease of use, and information availability (operational component).
e assessment of each component is given on afour-point scale, by analogy
with the system used in the previous step:
“-”–  point,
“-/+”–  points,
“+/-”–  points,
“+”–  points.
Fractional estimates are also possible, such as ., ., etc. Points determine
which of the sixteen squares the technique falls into (an intermediate position
is also possible in the case of fractional ratings).
Group quadrants have the following aliases:
aliens– low information coverage and complexity of use (ratings: ;, ;,
;, ;);
Przegląd Prawno-Ekonomiczny 1/2025
36
guides for beginners– low information coverage but easy to use (ratings:
;, ;, ;, ;);
macadamia nuts– hard to crack, but very informative (ratings: ;, ;,
;, ;);
stars– very informative and easy to use (ratings: ;, ;, ;, ;).
Grading will be based on acritical analysis of the information and expert opinions
of the authors of the research.

e Harvard Business School technique is based on peer reviews. It focuses on
determining the level of risk to the investor in the host region. is technique
assesses the following: legislative circumstances for international and domestic
investors; the feasibility of capital export; the state of the national curren-
cy; the political scenario; the ination rate; the ability to use national capital.
ere are eight main determinants in total, each with aset number of points.
e end result is acomplete measure of the risk of investing cash in the country’s
economy. Its value can range from  to  points: the higher this indication,
i.e. the closer its value is to  points, the lower the degree of risk and vice versa
(Kosobutskaya, ).
e quantity of indicators assessed, as well as the fact that the analysis is
conducted solely by experts, indicate that this is avery narrow approach with
ahigh level of subjectivity in the assessment. is approach has the advantage
of being relatively simple. Furthermore, despite the fact that qualitative analysis
requires specialized knowledge and abilities, gathering the necessary data is quite
simple. e majority of the relevant data is available to the public.

Euromoney magazine’s methodology broadens the number of indicators evaluated
and incorporates aquantitative indicator of sovereign debt into the Euromoney
Country Risk (ECR) expert assessments.
e Euromoney Country Risk assesses acountry’s investment risk, such
as the risk of bond default, the risk of direct investment loss, the risk to global
business relations, and so on, using aqualitative model that seeks expert opinion
on risk variables within acountry ( per cent weighting) and combines it with
abasic quantitative value ( per cent weighting). To calculate the overall Eu-
romoney Country Risk score, ve categories are weighted. e four qualitative
1/2025 Przegląd Prawno-Ekonomiczny 37
expert assessments are: political risk ( per cent weighted), economic risk
(per cent), structural risk ( per cent), and access to foreign capital markets
( percent). e numeric gure is derived from sovereign debt indicators
(per cent). When applying political, economic, and structural assessments to
apoint scale for the qualitative average only (rather than the full Euromoney
Country Risk score), the following weighting is used: political  per cent, eco-
nomic per cent, and structural  per cent (Euromoney, ).

economic risk: participants rank each country about which they know from  to
 across six sub-factors to get ascore out of . e economic risk categories
are as follows: bank stability/risk, GNP outlook, unemployment rate, government
nances, and monetary policy/currency stability. Political risk: participants
rate each country about which they know from  to  across ve sub-factors
to get ascore out of . e political risk categories are as follows: corruption;
government non-payments/non-repatriation; government stability; information
access/transparency; institutional risk; and regulatory and policy environment.
Structural risk: participants rank each country for which they have
expertise on a scale of 0 to 10 across four sub-factors, yielding a score of
100. The structural risk categories are as follows: demography, physical
infrastructure, labour market/industrial relations, and soft infrastructure.
Access to international capital markets: participants rate each country’s
accessibility to international markets on a scale of 0 to 10 (0 = no access,
10 = full access). These scores are averaged and weighted at 10 per cent
(Soina-Kutishcheva, Yarkova, Luneva, Piskunova & Naplekova, 2020).

e quantitative score factors – debt indicators are calculated using the follow-
ing ratios from the World Bank’s Global Development Finance gures: total
debt stocks to GNP (A), debt service to exports (B); current account balance
to GNP(C). Developing countries which do not report complete debt data get
ascore of zero.
e combined Euromoney Country Risk score ranges from qa to  and
represents the actual sum of expert evaluations of specic variables derived
through calculation and analysis. e technique for generating the rating, as
well as the composition of the evaluation indicators, are continuously updated
Przegląd Prawno-Ekonomiczny 1/2025
38
to reect changes in the worldwide market scenario. is is done to increase
the accuracy of the assessment and the appropriateness of the results produced.
However, it should be highlighted that, while the number of evaluated indi-
cators has increased in comparison to the HBS approach, their collection is still
insucient to account for all of the variables considered by investors. Adding
aquantiable indicator of national debt lessens the level of subjectivity in esti-
mates to some extent, but we believe it remains signicant. e algorithm and
the set of indicators assume the presence of specialized knowledge. e specicity
of anumber of criteria being analyzed limits access to relevant information as
well as independent application of the approach.

Forbes magazine’s methodology includes selecting parameters that reect various
aspects of the region’s economic life, as well as compiling arating of regions that
clearly shows eachs position relative to others in terms of investor attractiveness
(Egorova, ).
is methodology includes six groups of factors that describe many aspects
of economic life: the economic situation (crisis resistance), socio-demographic
features, infrastructure, population purchasing power, personal comfort, and
business climate. Each parameter is assigned ascore, with higher scores in-
dicating better results. e summary indicator is aweighted average value of
the groups. e qualities of the business atmosphere have the highest weight
among the groups, whereas indications of personal comfort have the lowest
weight (Bulatova, ).
In terms of anumber of characteristics, this technique differs from
the approaches outlined previously. The variations are mostly in the in-
frastructural component of the investment climate (including the cost of
residential and industrial real estate, as well as the cost of connecting to
electricity grids), with the development of small businesses being taken into
account. Thisstrategy, like the preceding ones, is based mostly on expert
opinions. This allows us to discuss the subjective nature of factor selection
and assessment. The range of assessed indicators suggests poor information
coverage. Despite the minimal number of indicators under examination,
the algorithm of this methodology is sophisticated and time-consuming.
Also, according to some experts, there is no objective criterion of reliability
in this technique (Bulatova, ).
1/2025 Przegląd Prawno-Ekonomiczny 39
Despite the labor intensity of the process, the Forbes methodology has
several advantages, including practical feasibility, relative accessibility for in-
vestors, international recognition, and the ranking of indicators based on their
signicance to the nal result, which allows for more accurate consideration of
capital owners’ interests. It should also be noted that this strategy is recommended
for usage when an investor must select between numerous priority possibilities,
as it requires completing acomparison examination.

Business Environment Risk Intelligence employs the BERI index, which
assesses the overall quality of the country’s business climate. This indicator
consists of three components: the Operations Risk Index (ORI), the Political
Risk Index (PRI), and the Remittance and Repatriation Factor. The method-
ology allows for an expert assessment of  basic business hazards (Kudasov
& Timokhina, ).
e indicator values are assigned using an evaluation scale ranging from
(unacceptable) to  (extremely favorable). Each indicator has aspecic
weight in the nal conclusion. e weighted score is calculated by multiply-
ing the points on the rating scale by the corresponding weight. e Business
Environment Risk Index is calculated by summing the weighted ratings. One
of the primary benets of this method is its adaptability. e computation
algorithm itself is rather straightforward. It also gives aranking of indications
based on their value to the end result. At the same time, doing aqualitative
assessment necessitates awide range of specialized knowledge. Obtaining
all the information necessary for conducting afull-edged analysis (on
the conditions for interaction between government and business, the degree
of bureaucratization, etc.) in the conditions of countries with transitive
economies can be associated with certain diculties, and in some cases it is
simply impossible.


e index assesses countries’ attractiveness to investors in the venture capital
(VC) and private equity (PE) asset classes. It is adynamic valuation system that
adjusts based on market conditions. e authors of this technique identify six
major factors, giving aclear sense of the structure of the nal index: Economic
Przegląd Prawno-Ekonomiczny 1/2025
40
Activity; Depth of Capital Market; Taxation; Investor Protection and Corporate
Governance; Human and Social Environment; Entrepreneurial Culture and
Deal Opportunities (Venture Capital and Private Equity Country Attractiveness
Index, ).
ese six main drivers cannot be measured individually. eir evaluation
is based on sub-criteria that describe the level of development of aspecic
driver. e sub-criteria might also be structured in two levels. us, the index
is built on three tiers of indicators. e assessed criteria are dynamic and
might vary in response to the market’s structure and needs. In the context of
this study, as indicators included in our nal analysis within the framework of
the Venture Capital and Private Equity Country Attractiveness Index assess-
ment methodology, we will primarily consider the second-level sub-criteria,
with the exception of cases where the third-level sub-criteria clearly correlate
with the groups of determinants we identied previously. erefore, the main
drivers will include:
Economic Activity: the size of the economy (Total Economic Size),
i.e. the volume of GDP; expected GDP growth; unemployment rate;
Depth of Capital Market: Size of the Stock Market, Stock Market Liquidity
(Trading Volume), IPOs and Public Issuing Activity, M&AMarket Activity,
Debt and Credit Market, Bank Non-Performing Loans to Total Gross Loans;
Taxation: the level of taxation and non-tax payments (Entrepreneur Tax
Inc. and Administrative Burdens);
Investor Protection and Corporate: Quality of Corporate Governance;
Security of Property Rights; Quality of Legal Enforcement, specically,
the independence of judicial power, the eectiveness of the legal frame-
work, the integrity of the legal system, the operation of the rule of law,
the quality of legal regulation;
Human and Social Environment: the level of education of the population
and the quality of human capital, the state of the labor market, the level
of corruption;
Entrepreneurial Culture and Deal Opportunities: the level of innovation
development; the number of published scientic and technical articles;
ease of starting and running abusiness; ease of closing abusiness; cor-
porate R&D.
Based on the findings, we can conclude that when determining invest-
ment attractiveness, the Venture Capital and Private Equity Country At-
tractiveness Index professionals use  sub-criteria. The overall number of
variables analyzed, including the fundamental (third) level, is  different
1/2025 Przegląd Prawno-Ekonomiczny 41
indicators of the country’s socioeconomic progress. Given the method-
ology’s details (attractiveness for venture capital and direct investment),
the essential factors here are capital market depth, investor protection, and
corporate governance.
Despite its specialized nature, this strategy covers more information than
the previously stated methods. e analytical algorithm is highly sophisticated,
requiring specialized knowledge in avariety of domains. e membership of
the evaluation team has asignicant impact on the quality of the outcomes.
e approach requires access to prole information on the capital market, which
might be problematic due to the underdevelopment of such markets in many
transitional economies.
Table  shows the comparative characteristics of the researched approaches for
measuring the investment climate using the previously established analysis criteria.
Table . Summary table of comparative characteristics of universal methodologies for assessing
the investment climate of countries (regions)
Methodology Information
coverage
Availability of
information
Variety of
the approaches
in use
Ease of use
HBS - +/- - +/-
Euromoney -/+ -/+ -/+ -
Forbes -/+ -/+ - -/+
BERI -/+ +/- - +/-
VCPEI -/+ -/+ -/+ -
Source: own preparation.
e data in Table  allows us to calculate the indicators required to create the ap-
plicability matrix (Table ). Figure below shows amatrix showing the applicability
of approaches for assessing the investment climate.
Table . Initial data for compiling the applicability matrix
Methodology Informational component Operational component
HBS 1 2,3 (5)
Euromoney 2 1,7
Forbes 2 1,7
BERI 2 2,3
VCPEI 2,3 1,7
Source: own preparation.
Przegląd Prawno-Ekonomiczny 1/2025

Figure. e applicability matrix for the ve most common universal approaches for assessing
nations’ investment climates
Source: own preparation.
As we can see, the strategies examined are usually associated with the Al-
iens group, to some extent. is group is distinguished by alack of information
coverage paired with the diculty of the assessment. is necessitates awide
range of specialized expertise, the engagement of external experts, and potential
challenges in gathering the data required for analysis.
e approach developed by Harvard Business School, along with Aliens, is
partly included in the Guides for beginners group. e methodologies under
this alias are easy to use, but they give only abasic idea of the investment at-
tractiveness of the country (region).

Aer reviewing the empirical literature on the drivers of FDI, it becomes clear that there
is no agreement across empirical studies on the key determinants of FDI because dierent
types of FDI are inuenced by various reasons. As aresult, experts and researchers are
at odds on the determinants of foreign direct investment. is is owing to signicant
dierences in the views, methodology, and analytical tools used in investigations.
1/2025 Przegląd Prawno-Ekonomiczny 43
e conducted analysis allowed us to identify anumber of characteristic
features common to universal methods for assessing the investment climate
(attractiveness).
First and foremost, it is important to observe the relatively low amount of infor-
mation coverage. Climate and geographic ( out of ) and technological ( out of )
aspects should be identied as the least accounted for. e VCPEI technique deserves its
own discussion. Despite the possibility of universal application, this strategy might be
considered semi-specialized because it focuses on nancial markets. It provides aslightly
higher level of information coverage, but not in areas crucial to transition economies.
Regardless of whether some of the approaches employ statistical comparisons
in their analyses, all of them, without exception, are based on expert assessments.
As aresult, the professionalism of the chosen team of assessors determines
the quality and reliability of the analysis.
e HBS and BERI approaches are mostly based on data that are easily
obtained (GDP, ination rate, currency stability, etc.). At the same time, Eu-
romoney, Forbes, and VCPEI analyze anumber of specialist indicators (labor
market conditions, banking system stability, stock market liquidity), necessitating
further research and complicating access to this information. Asimilar situation
exists with regard to analysis algorithms. e HBS and BERI methodologies are
simpler to implement than the other three approaches.
It should also be noted that three of the ve approaches investigated are pri-
marily concerned with nding hidden hazards, hence overlooking the potential
of the host region. At the same time, in some circumstances, potential rewards
can oset all present risks for the investor. is is acommon occurrence in
rapidly rising economies in transition.
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