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Economic Growth In The Conditions Of Digitalization In The EU Countries

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The article discusses the dynamics of economic development based on the level of digitalization of the countries. Economic development is evaluated through the dynamics of GDP changes. Digitalization level is evaluated through the Digital Economy and Society Index (DESI), which is calculated on a regular basis by the European Commission. Object of study – 28 EU‑member countries. The hypothesis of the investigation: a high level of digitalization leads to an acceleration of economic growth on national level. This hypothesis did not find any statistically significant confirmation. Thus, we can conclude that the level of the economy digitalization at the present stage of development of technologies and institutions in the EU countries does not have a decisive effect on the rate of economic growth.
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Volumen:38-3(1) // ISSN: 1133-3197
Monografico
DOI: http://dx.doi.org/10.25115/eea.v38i3%20(1).4041
Economic Growth In The Conditions Of Digitalization In The
EU Countries
OLEKSANDR VYSHNEVSKYI1, IHOR STASHKEVYCH2, OLENA SHUBNA3, SVETLANA BARKOVA4
1Department of Regulatory Policy and Entrepreneurship, INSTITUTE OF INDUSTRIAL ECONOMICS OF THE
NATIONAL ACADEMY OF SCIENCES OF UKRAINE, UKRAINE. E-mail: vishnevskiy_o@nas.gov.ua
2Department of Computer Information Technologies, DONBASS STATE ENGINEERING ACADEMY, UKRAINE.
E-mail: stashkevich_dgma@ukr.net
3Department of Management, DONBASS STATE ENGINEERING ACADEMY, UKRAINE.
E-mail: shubnaalena@gmail.com
4Department of Management, DONBASS STATE ENGINEERING ACADEMY, UKRAINE.
E-mail: sveta-barkova@ukr.net
ABSTRACT
The article discusses the dynamics of economic development based on the level of digitalization of the countries.
Economic development is evaluated through the dynamics of GDP changes. Digitalization level is evaluated
through the Digital Economy and Society Index (DESI), which is calculated on a regular basis by the European
Commission. Object of study 28 EU-member countries. The hypothesis of the investigation: a high level of
digitalization leads to an acceleration of economic growth on national level. This hypothesis did not find any
statistically significant confirmation. Thus, we can conclude that the level of the economy digitalization at the
present stage of development of technologies and institutions in the EU countries does not have a decisive effect
on the rate of economic growth.
Keywords: digitalization; GDP; DESI; EU.
JEL classification: O11, O14, O33, O52
Recibido: 21 de Octubre de 2020
Aceptado: 25 de Noviembre de 2020
Oleksandr Vyshnevskyi, Ihor Stashkevych, Olena Shubna, Svetlana Barkova
2
1. Introduction
Problems associated with the digitalization of the economy occupy leading positions on the agenda
of governments, business and society. Technology companies Apple, Microsoft, Alphabet, Amazon and
Facebook, which are the products of the digital revolution of recent decades, have a total capitalization
above $5 billion (at the beginning of 2020).
The country of origin of all these companies is the United States. Also, there are two more
technology companies from China (Alibaba, Tencent) in the top-10 of the world ranking by market
capitalization. Despite the fact that the European Union is among the leading economic centers of the
world (along with the USA and China), there are no European companies in this list, even though, the
EU defines the digitalization of the economy as one of its development priorities, as evidenced by
strategic-level documents adopted over the past decade.
“A Digital Agenda for Europe” was adopted ten years ago. According to this document “The overall
aim of the Digital Agenda is to deliver sustainable economic and social benefits from a digital single
market based on fast and ultra-fast Internet and interoperable applications” [European Commission,
2010, p.3]. Five years later, in continuation of the Digital Agenda for Europe, the European Commission
adopted “A Digital Single Market Strategy for Europe”, which states that “Europe has the capabilities
to lead in the global digital economy but we are currently not making the most of them. Fragmentation
and barriers that do not exist in the physical Single Market are holding the EU back. Bringing down
these barriers within Europe could contribute an additional EUR 415 billion to European GDP”
[European Commission, 2015, p.3]. Europe plans to become a leader in the global digital economy,
considering that “data has become an essential resource for economic growth, job creation and
societal progress. The value of the EU data economy was estimated at EUR 257 billion in 2014, or 1.85%
of EU GDP. This increased to EUR 272 billion in 2015, or 1.87% of EU GDP (year-on-year growth of
5.6%). The same estimate predicts that, if policy and legal framework conditions for the data economy
are put in place in time, its value will increase to EUR 643 billion by 2020, representing 3.17% of the
overall EU GDP.” [European Commission, 2015, p.2].
Despite the constant digitalization of the EU economy, the rate of economic growth is inferior to
both China and the United States. For example, in China the average GDP growth rate in 2014-2018 is
6.86%, in the USA 2.39%, and in the EU-28 only 2.12% [World Bank, 2019]. Based on this, an
important scientific and practical task arises: to study the economic aspects of digitalization within the
EU itself.
2. Literature Review
A lot of diverse studies are devoted to the issues of digitalization of the EU economy, the formation
of the Digital Single Market, the connection between digitalization and economic growth [Alm et al.,
2016; Stavytskyy et al., 2019; Kumar, 2019; Micic, 2017; Kos-Łabędowicz & Urbanek, 2016; Folea,
2018].
Researchers at the Boston Consulting Group (BCG) argue that the Digital Single Market shows large
potential for growth. In their analysis, they distinguish two groups for comparison. The first group
called “Digital frontrunners” included 9 countries: Belgium, Denmark, Estonia, Finland, Ireland,
Luxemburg, the Netherlands, Norway, and Sweden. The second group, under the name EU “Big 5”,
included: Germany, France, the UK, Spain, and Italy. It was predicted that the economy in the countries
of the Digital frontrunners group would grow at a rate of 2.25 to 3.1% per year and would grow by 38%
during 6 years (from 2014 to 2020). Meanwhile, GDP of the EU Big 5 countries would grow more slowly
(from 1.9 to 2.25% per year) and would increase by only 18% [Alm et al., 2016, p.16]. It is also shown
that the share of digital GDP in total GDP in EU Big 5 countries is less than in Digital frontrunners
countries (5.1% against 8% in 2014 and 6.5% against 10% in 2020). [Alm et al., 2016, p.13]. This analysis
shows that in larger countries there is a lower level of digitalization of the economy and lower rates of
further economic development. Additional verification of statistical data is required.
Economic growth in the conditions of digitalization in the EU countries
3
Stavytskyy’s research analyses “the influence of the consumption index growth by the purchasing
power parity and unemployment among the active population on the structural units of DESI (the
Digital Economy and Society Index)” [Stavytskyy et al., 2019, p.245]. The research “confirmed that a
more prosperous society leads to more advanced digital services. Each additional 1% increase in
consumption leads to an increase in DESI by 0.2” and “the European countries with high
unemployment rate could increase DESI in the near future through fighting unemployment”
[Stavytskyy et al., 2019, p.257]. These results are quite expected. The more people work, the more
they consume, including digital services, that leads to higher the level of digitalization of the economy.
However, this study bypasses the impact of digitalization on economic growth. It is fundamentally
different to pose the question “In what degree is it advisable to purposefully invest in digitalization to
ensure accelerated economic growth?” According to some analysts, “US $ 1 put towards digital
technology investment increased GDP by US $ 20, in the past 30 years, whereas the same amount put
towards non-digital investment increased GDP by just US $ 3” [Kumar, 2019]. Consequently, it can be
hypothesized that investments in digitalization lead to an increase in the digitalization level of the
economy, which in turn provides accelerated economic growth. Digital Agenda for Europe and Digital
Single Market Strategy for Europe are subject to the logic of this hypothesis.
But in other studies, this correlation is being questioned. “Although there are researches, reports
and studies that associate high GDP per capita with high ICT investment and spending there is no
adequate study which completely confirms that hypothesis. Based on that, this correlation could be
the result of other economic processes and public policies. Therefore, there is a reasonable level of
doubt that high ICT investment has unreasonable impact on GDP per capita. However, technological
map of Europe identifies that those countries with high level of ICT investment are those countries
that also have high GDP per capita” [Micic, 2017, p.146].
When analyzing the digitalization level of the EU economies, expressed through the Digital
Economy and Society Index (DESI) simultaneously with the Gross Domestic Product (GDP) per capita
[Kos-Łabędowicz & Urbanek, 2016, p.2676] we can see linear correlation between the degree of
economic development and the level of digitalization.
In general, researchers agree that the processes of digitalization should have a tangible positive
impact on economic growth. However, the question of the digitalization impact on the pace of
economic growth is not fully explored.
Given the results of previous studies, the aim of the article is to assess economic growth in context
of digitalization in the EU countries. This involves verification the hypothesis that a high level of
digitalization and a relative acceleration of digitalization lead to faster economic growth. The EU
countries are selected as the object of the research. They share Digital Single Market, have a single
labor and capital market, and also, they have common institutional environment. This allows us to
consider comparable digitalization processes that should have a comparable economic effect.
3. Methodology
As a tool for measuring economic development, we have chosen GDP, which despite the criticism
of prominent economists and laureates of The Nobel Memorial Prize in Economic Sciences such as
Stiglitz, J and Sen, A, [Stiglitz et al., 2010] remains the main and widely used economic indicator. This
indicator is regularly calculated by European Statistical Office (Eurostat) [Eurostat, 2020].
9 indices were analyzed that characterize the digitalization level of individual countries: (1) The ICT
Development Index (IDI), which is published by the United Nations International Telecommunication
Union, it is a specialized agency of the United Nations that is responsible for issues connected with
information and communication technologies [International Telecommunication Union, 2018]; (2) The
Digital Adoption Index (DAI), which is calculated by the World Bank [World Bank, 2016]; (3) The Digital
Economy and Society Index (DESI), that is prepared by European Commission [European Commission,
2019]; (4) The IMD World Digital Competitiveness Ranking (WDCR), that is calculated by IMD World
Competitiveness Center [IMD World Competitiveness Center, 2019]; (5) The Enabling Digitalization
Oleksandr Vyshnevskyi, Ihor Stashkevych, Olena Shubna, Svetlana Barkova
4
Index (EDI), that is prepared by insurance and consulting company Euler Hermes [Euler Hermes, 2019];
(6) The Digital Country Index (DCI) by a Spanish consulting company Bloom Consulting [Bloom
Consulting, 2017]; (7) The Government Artificial Intelligence Readiness Index (GAIRI) by Oxford Insights
and the International Development Research Centre [Miller & Stirling, 2019], (8) The Networked
Readiness Index (NRI), which is published by World Economic Forum [Baller et al., 2016]; (9) The
Composite I-distance Indicator (CIDI) that is calculated by group of scientists from University of
Belgrade [Milošević et al., 2018].
Three criteria were developed to select the index most relevant to this study. The first criterion is
the status of the organization that calculates the index. If it is an internationally recognized institution,
then the index gets 1 score (otherwise 0 scores). The second criterion concerns the focus on the
object of study (European Union) [Podgorna et al., 2020]. If the index is focused on the assessment of
the EU member states, then the index gets 1 score (otherwise - 0 scores). The third criterion relates to
the availability of data for the last 2 years (2018-2019). If the index was calculated at least once in
2018-2019, then the index gets 1 score (otherwise - 0 scores). According to the first criterion, IDI, DAI
and DESI, which are calculated by the UN, World Bank and European Commission, received points.
According to the second criterion, only DESI received the score. The remaining indices do not focus on
the EU, their work has a global nature. According to the third criterion, DESI, WDCR, EDI and GAIRI
received points. Thus, the largest number of points (3 points) was received only by the DESI (Table 1).
Therefore, it is DESI which is used as a tool for assessing the digitalization level of the EU countries.
Table 1. Prioritization of digitalization indexes*
#
Name of
index
Criterion
Total
score
Focus on the
EU
Existence of
calculation in
last two years
1
IDI
0
0
1
2
DAI
0
0
1
3
DESI
1
1
3
4
WDCR
0
1
1
5
EDI
0
1
1
6
DCI
0
0
0
7
GAIRI
0
1
1
8
NRI
0
0
0
9
CIDI
0
0
0
* Source: compiled by the authors
A comparative and correlation analysis was used to assess the degree of relation of the digitalization
level of the countries with the rates of their economic growth.
4. Results and Discussion
According to DESI dynamics in the EU, there is a continuous spreading of the digitalization to deeper
levels for all 5 components of the index (Connectivity, Human Capital, Use of Internet Services,
Integration of Digital Technology, Digital Public Services). The top-5 leading EU countries in
digitalization are Sweden, Netherlands, Finland, Denmark and Luxembourg. The five outsider countries
include Italy, Poland, Bulgaria, Romania, Greece.
The leaders in average GDP growth rates are Ireland, Malta, Romania, Poland and Hungary. The last
5 positions in average GDP growth rates are held by Belgium, Finland, France, Italy and Greece. As it
appears from this initial analysis, the leaders in the field of digitalization and in the field of economic
growth do not coincide substantially (Table 2). Of the top-5 countries in digitalization, none is
represented among the top-5 by GDP growth rate. Moreover, Finland is among the outsiders by GDP
growth (on average 1.52% per year in 2014-2018).
Economic growth in the conditions of digitalization in the EU countries
5
Table 2. Real GDP growth rate and rank of DESI*
#
Country
Real GDP growth rate, %
Rank DESI
2014
2015
2016
2017
2018
2014
2015
2016
2017
2018
1
Austria
0,7
1
2,1
2,5
2,4
12
13
12
12
12
2
Belgium
1,6
2
1,5
2
1,5
9
9
7
7
9
3
Bulgaria
1,9
4
3,8
3,5
3,1
27
27
26
27
26
4
Croatia
-0,1
2,4
3,5
3,1
2,7
21
20
20
20
21
5
Cyprus
-1,9
3,4
6,7
4,4
4,1
23
23
21
22
22
6
Czechia
2,7
5,3
2,5
4,4
2,8
17
14
17
15
17
7
Denmark
1,6
2,3
3,2
2
2,4
2
1
1
1
4
8
Estonia
3
1,8
2,6
5,7
4,8
7
7
9
9
7
9
Finland
-0,4
0,6
2,6
3,1
1,7
3
2
2
2
3
10
France
1
1,1
1,1
2,3
1,7
14
15
15
14
16
11
Germany
2,2
1,7
2,2
2,5
1,5
10
11
11
11
13
12
Greece
0,7
-0,4
-0,2
1,5
1,9
26
26
27
26
28
13
Hungary
4,2
3,8
2,2
4,3
5,1
22
22
22
23
23
14
Ireland
8,6
25,2
3,7
8,1
8,2
11
10
10
10
8
15
Italy
0
0,8
1,3
1,7
0,8
25
24
24
24
24
16
Latvia
1,9
3,3
1,8
3,8
4,6
19
19
19
19
18
17
Lithuania
3,5
2
2,6
4,2
3,6
18
18
18
18
14
18
Luxembourg
4,3
4,3
4,6
1,8
3,1
5
5
5
5
5
19
Malta
8,8
10,9
5,8
6,7
7
8
8
8
8
10
20
Netherlands
1,4
2
2,2
2,9
2,6
4
4
4
3
2
21
Poland
3,3
3,8
3,1
4,9
5,1
24
25
25
25
25
22
Portugal
0,8
1,8
2
3,5
2,4
16
17
14
17
19
23
Romania
3,4
3,9
4,8
7,1
4,4
28
28
28
28
27
24
Slovakia
2,8
4,8
2,1
3
4
20
21
23
21
20
25
Slovenia
2,8
2,2
3,1
4,8
4,1
15
16
16
16
15
26
Spain
1,4
3,8
3
2,9
2,4
13
12
13
13
11
27
Sweden
2,7
4,4
2,4
2,4
2,2
1
3
3
4
1
28
UK
2,6
2,4
1,9
1,9
1,3
6
6
6
6
6
* Source: Eurostat [Eurostat, 2020] and European Commission [European Commission, 2019]
Poland and Romania, being in the group with the lowest level of digitalization, simultaneously enter
the number of countries with the highest average GDP growth rates (Poland 4.04% per year, Romania
4.72% per year). Italy and Greece occupy last positions by both digitalization and economic growth.
It is important to note that 4 largest EU economies (Germany, France, the UK, Italy) not only have
lower average GDP growth rates than EU-28, but also predominantly occupy positions in the middle of
the list by digitalization in 2014-2018 (Germany 10th-13th positions; France 14th-16th positions).
Italy is stably at the end of the list (24th-25th place). And only the United Kingdom consistently takes
6th place in the DESI rank.
Having examined individual groups of countries, we can proceed to the overall analysis of all the EU
members together. The Spearman’s rank correlation coefficient indicates the absence of a declared
relation between Real GDP growth rate and rank of DESI (Table 3). The coefficient is close to zero, and
its value changes from plus to minus and vice versa in different years.
Table. 3. The Spearman’s rank correlation coefficient between real GDP growth rate and rank of DESI in
2014-2018*
Year
2014
2015
2016
2017
2018
The Spearman's rank
correlation coefficient
0,083
-0,034
0,007
-0,282
-0,227
* Source: compiled by the authors
Oleksandr Vyshnevskyi, Ihor Stashkevych, Olena Shubna, Svetlana Barkova
6
The scatter plot between the ranks of the digitalization level and the rate of GDP change in 2018
(Figure1) indicates the absence of a functional dependence and graphically confirms that the values of
the correlation coefficient is about 0. Similar results were obtained when building the scatter plots
according to the data of 2014-2017. Under such conditions, conducting a regression analysis does not
make sense.
Figure1. Scatter plot between Real GDP growth rate and rank of DESI in 2018
Thus, the hypothesis that the “high level of digitalization of the country leads to its accelerated
economic growth” is not statistically confirmed.
It remains to evaluate the impact of country’s relative progress in digitalization on the rate of its
GDP change. Despite the fact that the values of the Spearman’s autocorrelation coefficient with a lag
of 1 year as an observation period range from 0.978-0.993, during five years some countries moved up
in the rating, while others fell down. Therefore, the differences between the DESI ranks in 2018 in
comparison to 2014 were calculated. The range of their fluctuations varies from -4 to +3. The graph of
the distribution function of these changes (deviations) corresponds to the graph of the normal
distribution (Figure 2). It indicates the normality of distribution of the DESI rank difference for the
period under consideration and the absence of anomalies.
Figure 2. Plot of distribution of DESI rank differences in 2018 and 2014
The largest progress in the DESI rating recorded is connected to Lithuania (+4 positions from 18th
in 2014 to 14th in 2018) and Ireland (+3 positions from 11th in 2014 to 8th in 2018). The greatest
regression recorded is related to Germany and Portugal, which shifted 3 positions down. Germany
from 10th to 13th, and Portugal from 16th to 19th. At the same time, the average annual GDP growth
in Lithuania was 3.18%, in Ireland 10.76%, Germany 2.02%, Portugal 2.1%. However, the overall
Spearman’s rank correlation coefficient for the entire sample between the average GDP growth for
2014-2018 and the change in the DESI index in 2018 relative to 2014 is 0.25. We can see a weak positive
linear dependence. Thus, the hypothesis, that relative (relative to other countries) progress in
0
5
10
15
20
25
30
0 5 10 15 20 25 30
DESI rank
GDP rank
2
7
11
6
2
0
2
4
6
8
10
12
[-4;-3] [-2;-1] 0 [1;2] [3;4]
Economic growth in the conditions of digitalization in the EU countries
7
digitalization leads to accelerated economic growth, cannot be considered fully proven. Although it is
partially confirmed in the “tails” of the sample by the example of Lithuania, Ireland, Germany, Portugal.
The results can be interpreted as follows. First of all, no statistically significant evidence was found
that the relatively high level of digitalization of the country and its accelerated growth provide high
rates of economic growth. Consequently, despite high expectations, the role of the digitalization of the
economy in ensuring economic growth has not become decisive yet.
The reason for the EU lagging behind in economic growth rates from China and the United States
may be internal imbalances between the EU member states, for example, when leaders in digitalization
do not show high rates of economic growth. As a result, the question arises, what level of investments
in digitalization is an effective tool to accelerate economic growth in the short-term prospects.
The cost-effectiveness of digitalization at the micro level is not extending to the national level. This
may mean that the productive forces forming within the framework of the sixth wave of innovation
cannot at the moment reach their full potential in the current production relations (institutional
environment).
5. Conclusion
Digitalization of the economy remains one of the EU development priorities. The action of a number
of high-level documents adopted by the European Commission is aimed at ensuring digitalization of
EU economy and creating the Digital Single Market. The result of this activity is a continuous increase
in the average digitalization level of the EU member states. At the same time, the digitalization process
is proceeding quite evenly: countries leaders and countries outsiders do not change dramatically. So
for five years of observation, only four countries (Denmark, Finland, Sweden, Netherlands) succeed
each other in the first four positions of the DESI rating. A similar situation is at the bottom of the rating.
The last four lines of the ranking are Poland, Bulgaria, Greece, Romania. However, the average GDP
growth rates for the reporting period in Poland, Bulgaria and Romania are higher than in Denmark,
Finland, Sweden and Netherlands. Against this background, the absence of a positive significant
correlation between real GDP growth rate and the rank of DESI in 2014-2018 is logical.
At the same time, countries that demonstrate relatively significant progress in the digitalization
rating on average have higher rates of economic growth. However, this relationship, expressed in
Spearman’s rank correlation coefficient, is weak. Thus, spreading of digitalization does not
substantially accelerate economic growth. There is no statistically significant evidence of the positive
impact of digitalization on the economic growth.
The results obtained necessitate further research. First of all, a further study of the impact of
digitalization on macroeconomic indicators is needed. Secondly, it is necessary to study and develop
mechanisms and tools to ensure the positive economic effects of digitalization. Thirdly, it is necessary
to study the priority directions of investing in digitalization to accelerate the economic growth.
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... Green technologies are also supportive for increasing the sources of renewable energy and these also suggest the sustainable use of it in human livelihoods. The European countries adopted the digital agenda and related policies to enhance the process of economic development (Vyshnevskyi et al., 2020). The Chinese government also started a movement for the digital economy in March 2017 (Jio & Sun, 2021), and India adopted a digital India policy in 2015 (Badam & Gochhait, 2020). ...
... Mobile subscription provides more benefits in middle east countries. Previous evidence also specified that digitalization or digital transformation or digital economy help to boost sustainable development (Vyshnevskyi et al., 2020;Domnina et al., 2021;Arsakaev & Khatsieva, 2021;Bakry et al., 2023). ...
... It also explains the overall performance of economic development. Thus, per capita GDP can be composed as a substitute variable for economic development (Vyshnevskyi et al., 2020;Aleksandrova et al., 2022;Verma et al., 2023). Pradhan et al. (2022) used ARDL model to investigate the association between ICT infrastructure and economic growth in G20 countries. ...
Chapter
This chapter is carried out to detect the interlinkages of digital technologies with economic sector. It integrates 16 diverse indicators that are crucial for creation of digital infrastructure and digitalization. This index is known as digital technology integrated index (DTII) in this chapter. DTII is estimated for selected 118 countries. It describes comparison of these countries in digitalization according to statistical values of DTII. It also detects a causal link between digitalization and economic development using robust empirical models. The variation in digitalization is reported due to inconsistency in the variables that are effective to create DTII. Digitalization is vital to promote economic development. Digital technologies and ICTs are helpful for a country to be digitized. FDI inflow, total employers, and job opportunities help to increase economic development. The progress of digitalization would also improve as FDI inflow, total employers, and job opportunities increase.
... The evolution of research trends in tourism shows a shift in the search for GDP factors in the tourism sector (Maiti and Kayal 2017). Research on how several elements, such as industrialization, societal development, environmental degradation, and macroeconomic determinants that quickly affect sustainable GDP, affect GDP in emerging nations is desperately needed (Vyshnevskyi et al. 2020). Jin and Xu (2024a, b, c) forecast Brent crude oil prices using Gaussian process regression, optimized through cross-validation and Bayesian techniques, over a 10-year period. ...
... Boikova et al. (2021) reaffirm that trade openness, foreign direct investment, R&D, macroeconomic stability, and DGT influence GDP and competitiveness in EU nations. However, according to Vyshnevskyi et al. (2020), at the present institutional and technological development level in EU countries, the amount of economic DGT has no discernible effect on GDP. The industrial and agricultural economies have given way to the digital economy as the modern socioeconomic platform (de Lange and Valliere 2020). ...
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This research investigates how economic sustainability in South Asian countries be advanced through digitalization, green investment, and financial inclusion. Despite limited prior examination, the interplay between digitalization, green investment, financial development, and sustainable development remains underexplored, especially in the context of South Asian countries. Utilizing Common Correlated Effect Mean Group, Mean Group, and Augmented Mean Group analytical approaches on data spanning from 1990 to 2023, the study reveals a robust positive impact of digitalization, green investment, and financial development on South Asian countries' economic sustainability. This underscores the importance of investing in green resources, technological innovation, and financial infrastructure to facilitate the country's transition toward sustainable development by (0.246%, 0.329%, and 0.740%). It further demonstrates that digitalization acts as a catalyst in this process, enhancing economic growth by (1.227%, 2.112%, and 2.231%) respectively. The synergistic effect of green investment and digitalization enhances renewable infrastructures' efficiency and reliability, reducing costs and improving market competitiveness. Concurrently, financial inclusion broadens community engagement in these projects, fostering economic expansion. Moreover, this study articulates the multifaceted benefits of renewable energy integration within the energy portfolio. It recommends the pivotal roles of digital transformation, financial accessibility, and solid institutional governance in driving economic development in South Asian economies.
... Our literature search revealed that there are previous studies in various CEE countries that have used DESI as a metric for assessing a country's digital economy development [19][20][21]. As these studies focus only on the digital development of EU countries, while relevant and important in their endeavor, they cover only a facet of a broader and complex issue, namely assessing the impact of digital transformation on performance. ...
... In some cases, while government expenditures on R&D can foster innovation and potentially lead to breakthroughs in renewable energy technologies, if not managed carefully, they can inadvertently hinder immediate renewable energy consumption through a misallocation of resources, market distortions, and a lack of focus on deploying existing solutions [19]. The increase in DESI and its connectivity component, along with economic growth in CEE countries, contributes to a multifaceted approach to economic growth and sustainability. ...
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This article explores the intricate relationship between digital transformation and non-financial performance in Central and Eastern European (CEE) countries. As these nations navigate the complexities of post-communist economic landscapes, the role of digitalization emerges as a pivotal factor influencing various dimensions of organizational performance beyond mere financial outcomes. In this framework, our research aims to analyze the ways in which digital transformation (as proxied by DESI) impacts a range of non-financial performance metrics (ESG) in order to furnish a thorough comprehension of the intricate interplay within the specific context of CEE countries. With data collected over an 11-year timeframe, we performed a panel data analysis, relying on a robust regression. The main findings indicate that digital transformation profoundly impacts the environmental (CO2 emissions, renewable energy consumption), social (ratio of female-to-male labor force participation rate, unemployment) and governance (government effectiveness) performance of CEE countries, although the effects vary significantly across different regions. The panel data highlight potential areas for policy emphasis, particularly in relation to reducing CO2 emissions, improving regulatory quality, and advancing digital integration and connectivity. The disparities identified may inform targeted strategies aimed at uplifting underperforming regions, thereby contributing to enhanced economic growth and sustainability.
... However, the prevailing trend in empirical studies confirms its positive impact on economic growth. Despite this, digitalization also poses certain challenges for the economy, particularly the disparity in access to advanced technologies between developed and developing countries, which could result in different levels of economic growth across regions [27]. Brodny and Tutak [28] stated that the initial phase of digital technological innovation can lead to short-term economic disruptions. ...
... Some empirical studies also highlight the inconsistency in its impact on economic growth, as the extent of this impact can significantly depend on countryspecific factors. Sabbagh et al. [29] and Vyshnevskyi et al. [27], for instance, suggested that the degree of technological innovation and the composition of economic sectors may influence the contribution of digitalization to economic growth. In addition, Myovella et al. [1] and Boikova et al. [30] demonstrated that digitalization positively contributes to economic growth in Sub-Saharan Africa and OECD countries; however, the scale and nature of these effects might differ greatly between regions. ...
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This study aims to analyze the impact of digitalization and financial inclusion on economic growth in the ASEAN-6 countries, with a particular highlight on the interaction between these two factors. This research topic is compelling, as most previous studies have examined the individual effect of either digitalization or financial inclusion on economic growth, lacking empirical evidence on their interactive impact. The author utilizes a Bayesian approach to estimate the research model, providing a clearer understanding of the extent and probability of each variable's effect. The findings reveal that economic growth in the ASEAN-6 countries is positively influenced not only by digitalization and financial inclusion individually but also by their significant interaction. Additionally, economic growth is notably affected by population growth and inflation. These findings offer a reliable foundation for the ASEAN-6 countries to identify appropriate policies that foster digitalization coupled with financial inclusion, thereby promoting economic growth.
... Within this framework, our study explores the interplay between Fintech, tourism, FDI, and digitalization, proposing that these elements serve both as products and facilitators of economic growth. While numerous studies have examined the roles of individual factors-such as tourism (Avezimbetovich, 2022;Khanal & Khanal, 2022;Tabash et al., 2023), Fintech (Liu & Chu, 2024;Narayan, 2020;Rahman, 2024;Song & Appiah-Otoo, 2022), digitalization (Aleksandrova et al., 2022;Ishnazarov et al., 2021;Kuziyeva et al., 2022;Lukmanova et al., 2024;Vorontsovskiy, 2020;Vyshnevskyi et al., 2020), and FDI (Encinas-Ferrer & Villegas-Zermeño, 2019; Govori & Fejzullahu, 2020;Md. Al & Sohag, 2015;Sengupta & Puri, 2020;Yahaya et al., 2023)-there is a significant gap in the literature regarding their combined impact, particularly in top tourist destinations. ...
... Digitalization and Economic Growth. The literature has demonstrated the impact of digitalization on economic growth presents mixed findings, with some studies indicating that high levels of digitalization do not decisively affect economic growth rates (Aleksandrova et al., 2022;Vorontsovskiy, 2020;Vyshnevskyi et al., 2020). Despite these findings, a substantial body of research highlights the beneficial impact of digital development on economic growth. ...
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Economic growth in leading tourist destinations faces challenges requiring investment, technological advancement, and resource management. This study examines the impact of tourism, Fintech, FDI, and digitalization on economic growth in Austria, France, Germany, Greece, Italy, Mexico, Spain, Turkey, the UK, and the USA. These countries, identified by UNWTO for 2022, represent 46% of the global tourism market. Utilizing yearly data from 2010 to 2022 from sources like the World Bank, Crunchbase, and UNWTO, we apply Pooled OLS, PCSEs, FGLS, and Two-Step GMM models using Stata v17.0. Additionally, Necessary Condition Analysis (NCA) was conducted using SmartPLS v.4.3 software. Our findings reveal that Fintech, tourism, FDI, and digitalization significantly contribute to economic growth, with varying degrees of impact across different models. Specifically, digitalization and tourism demonstrate the most substantial positive effects, while FDI and Fintech also play crucial roles. The study highlights the necessity of integrating these factors to foster sustainable economic growth in top tourist destinations. These results provide actionable insights for policymakers, stakeholders, and government officials, emphasizing the importance of strategic investments in Fintech, tourism, FDI, and digital infrastructure to enhance economic performance. The implications of this research extend to informing policy formulation and strategic decision-making aimed at leveraging technological advancements and investments for sustained economic development in major tourist economies.
... Certain studies indicate that the influence of ICT on economic growth is not universally beneficial and may fluctuate based on a nation's economic, technological, and institutional circumstances. Vyshnevskyi et al., (2020) analyzed the influence of economic digitalization on economic development in EU nations from 2014 to 2018, utilizing the Digital Economy and Society Index (DESI) consistently computed by the European Commission. The findings suggest that the degree of economic digitalization does not significantly influence economic growth at the present stage of technology and institutional advancement. ...
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This study examines the influence of digitalization on economic growth through a comparative comparison of European Union (EU) countries and BRICS-T nations. The study employs panel data analysis, encompassing the years 2001 to 2022 for EU countries and 2003 to 2021 for BRICS-T countries. The findings indicate that in EU nations, variables such as internet utilization, fixed broadband availability, and gross fixed capital formation positively and considerably enhance economic growth. In BRICS-T nations, mobile phone subscriptions, internet utilization, and gross fixed capital formation are pivotal growth catalysts. Nonetheless, foreign direct investments and trade openness exhibit statistically minor effects in both regions. This research underscores the essential function of digital infrastructure in promoting economic development and offers policy recommendations to optimize the advantages of digitalization in both emerging and mature nations. ÖZ Bu çalışma, Avrupa Birliği (AB) ülkeleri ile BRICS-T ülkeleri arasında karşılaştırmalı bir analiz yaparak dijitalleşmenin ekonomik büyüme üzerindeki etkisini araştırmaktadır. Panel veri analizinin kullanıldığı çalışma, AB ülkeleri için 2001-2022 dönemini, BRICS-T ülkeleri için ise 2003-2021 dönemini kapsamaktadır. Sonuçlar, AB ülkelerinde internet kullanımı, sabit genişbant erişimi ve gayrisafi sabit sermaye oluşumu gibi faktörlerin ekonomik büyümeye pozitif ve anlamlı bir şekilde katkıda bulunduğunu ortaya koymaktadır. BRICS-T ülkelerinde ise cep telefonu abonelikleri, internet kullanımı ve gayrisafi sabit sermaye oluşumu büyümenin temel itici güçleri olarak ortaya çıkmaktadır. Bununla birlikte, doğrudan yabancı yatırımlar ve ticari açıklık her iki bölgede de istatistiksel olarak önemsiz etkiler göstermektedir. Bu araştırma, dijital altyapının ekonomik kalkınmayı desteklemedeki kritik rolünü vurgulamakta ve hem gelişmekte olan hem de gelişmiş ekonomilerde dijitalleşmenin faydalarını en üst düzeye çıkarmak için politika önerileri sunmaktadır.
... The latest research by Vyshnevskyi et al. (2020) demonstrates that the rapid evolution of information and digital innovation has significantly impacted the global economy. Furthermore, the proliferation of networks, the internet, and widespread adoption of digital solutions have led to substantial changes across various aspects of life (Atzori, Iera, & Morabito, 2017). ...
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Chapter
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The concept of the digital economy and society is quickly changing the reality of how citizens live and work. Originally anchored under the discipline of the information society, the new model of a digital technologies economy and society announces a shift from the knowledge-based to the data-based paradigm. This change was recognized in Europe in 2007, with the European Commission’s Communication “E-skills for the 21st Century: Fostering Competitiveness, Growth and Jobs”. In the following years, many European Union and national public policies and programmes were designed and introduced in Europe in order to keep abreast of the profound changes the model of digital economy and society brings into our world.This paper analyses European public policies’ and programmes’ scope and objectives, evaluating their impact in terms of country-wide digital competitiveness over the period of 2014–2017. The paper provides insights at a European- as well as country-specific levels (via case studies) and covers the following areas: (1) scope and objectives of European public policies for the digital economy and society in Europe; (2) key actors involved in the public policies of the digital economy and society in Europe; (3) evaluation of the European public policies for the digital economy and society in Europe. Quantitative and qualitative research methods were employed for data collection and analysis: database research and analysis, statistical analysis, content and thematic research, and analysis from policy papers and reports.The implementation of digital public policies in the EU from 2014–2017 led to an increase in the number of people with basic and advanced digital skills. However, the number of countries below the EU-28 average in 2017 in terms of human capital preparation for a digital society and economy was high. The digital public policies on the human capital dimension in the EU need to improve in national action and lead with urgency to a significant increase in the number of people with basic and advanced digital skills.
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ICT, as a General Purpose Technology, influences changes in global production, consumption and organizational models. Due to the fact that it improves competitiveness, enables process and product innovations and influences business processes along the entire value chain, promotion of ICT is one of the priorities of European Commission. This paper aims at providing a broad empirical analysis of the use of ICT by individuals and in companies involved in passenger and freight transportation processes in the EU. There is a need to examine the potential relations between the wider distribution of ICT and changes in demand for transport services, in case of both individuals and enterprises. The aim of this study is also to examine some future directions of ICT implementation in the transportation area and its influence on the economy in general.
Book
Mismeasuring Our Lives is the result of this major intellectual effort, containing pressing relevance for anonyme engaged in assessing how and whether our economy is serving the needs of our society. The authors offer a sweeping assessment of GDP's limitations as a measurement of the well-being of societies and introduce a bold array of new concepts from sustainable measures of economic welfare to evaluations of savings and wealth and a "green GDP". At a time when policy makers worldwide are grappling with unprecedented global financial and environmemntal issues. Mismeasuring Our Lives is an essential guide to measuring the things that matter most.
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Further positive social and economic development (SED) requires modelling and analysis for evaluating its results to ground directions for future development. The purpose of the paper is to study the problem of estimating of SED, to form the methodology for modelling its results and to create an aggregated econometric indicator within the framework of unified conceptual approach for the European Union (EU) countries. To achieve this goal, it is necessary to solve the following objectives: to determine the essence of the concept of SED, to study traditional approaches to measure SED, to give an overview of the DP2 modelling method, to discover and structure the elements of SED in the EU countries and to argue a conceptual approach to modelling its outcomes. The study is based on the method of mathematical modelling in economics based on Distance P2 method. Econometric modelling, as well as regression analyze, was used to develop a synthetic indicator DP2 for evaluating SED of the EU countries. Also, the research process was based on analysis, synthesis and the system approach for information processing, as well as on the method of comparative and statistical analysis, quality and quantity analysis. The results of the deep research showed that there is no unified approach to modelling SED. The Distance P2 method was first proposed to measure SED at the national level exactly for the EU. The methodology for measuring SED specifically for the EU countries based on the conceptual approach was developed and substantiated. Based on the proposed methodology and taking into account the special characteristics of the region studied - the social and economic DP2 indicator for the EU countries was created. This study proposes to build a synthetic indicator DP2 to model results of progress in SED, especially in the EU. The practical implications of the synthetic indicator DP2 for modelling and analysis of SED of the EU countries can be a prospect for further research. Applied aspect of these studies is advising the EU's public policy with the aim of advancing. Using the DP2 synthetic indicator of SED for the EU countries will identify and substantiate the main directions for developing the country's domestic policy to improve the quality of life of the populations. Also, the results of the study can be used for advisory purposes to develop and optimize the EU development strategy 2020-2030. The value and originality of the paper lie in further application of the methodology of modelling the SED of the EU countries through synthetic indicator DP2. This will expand opportunities for increasing the national economy’s efficiency, that is highly important in terms of increased international competition.
Why Northern European Frontrunners Must Drive Digitization of the EU Economy
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ALM, E., COLLIANDER, N., DEFORCHE, F., ET AL. (2016). Digital Europe. Why Northern European Frontrunners Must Drive Digitization of the EU Economy. Stockholm: BCG. Retrieved from http://image-src.bcg.com/BCG-Digitizing-Europe-May-2016_tcm22-36552.pdf
Networked Readiness Index. The Global Information Technology Report 2016: Innovating in the Digital Economy
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BALLER, S., DUTTA, S., & LANVIN, B. (2016). Networked Readiness Index. The Global Information Technology Report 2016: Innovating in the Digital Economy. Retrieved from https://www.wsj.com/public/resources/documents/GITR2016.pdf
Digital country index
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BLOOM CONSULTING. (2017). Digital country index. Retrieved from https://www.digitalcountryindex.com/country-index-results