Economic Growth In The Conditions Of Digitalization In The EU Countries

Vyshnevskyi, Oleksandr; Stashkevych, Ihor; Shubna, O.; Barkova, Svetlana

doi:10.25115/eea.v38i4.4041

Cited by 16 publications

(10 citation statements)

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“…Pélaez et al [78] contrasted the digital skills of British youth with the expectations of the labour market and argued that the digital divide between the two could only be bridged through education and digital skills development. Kwilinski et al [79] found that the higher the level of digitalization in a society, the lower the risk of poverty and social exclusion Vyshnevskyi et al [80] points out by assessing the development of the EU economy through the dynamics of GDP change, that the dig-italization of the economy does not play a decisive role in the rate of economic growth achieved, given the current state of development of the technologies and institutions used. Our analysis shows that the Member States with the highest real GDP per capita have the highest digital readiness of human capital and internet services.…”

Section: Discussionmentioning

confidence: 99%

Convergence and the Matthew Effect in the European Union Based on the DESI Index

et al. 2022

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The European Commission (EC) has monitored Member States' digital progress through the Digital Economy and Society Index (DESI) since 2014. The DESI index currently ranks the EU Member States and monitors their progress based on four core and 33 individual indicators. We sought to determine whether convergence between the Member States could be detected using the DESI’s annual databases. By examining the variation in the indices, we propose the existence of a so-called “Matthew effect”, i.e., the “rich get richer” syndrome among the 27 EU Member States. We also hypothesised that the COVID-19 pandemic would influence the change in the DESI. Issues investigated were those using bibliometric, statistical-mathematical methods. The σ-convergence analysis was used to estimate the reduction over time of the differences between the Member States, while the β-convergence analysis was used to estimate the rate of catching up with the initial level of development. A PCA analysis was performed to verify the Mathew effect with additional λ-variances considering real GDP per capita change. The σ-convergence was confirmed over the period 2016–2021. The β-convergence was significantly confirmed, and the research also revealed that the half-life of catching up is approximately 20 years. The suggestion of a Matthew effect in the 2016–2021 period, although not significantly confirmed, tends to suggest its existence. The COVID-19 pandemic’s impact on the value of the DESI index is likely to be affected, but future studies are needed to find support for this hypothesis. The study concludes that convergence between the EU-27 Member States can be detected based on the DESI, but this does not imply convergence for all four core DESI indicators.

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Section: Discussionmentioning

confidence: 99%

Convergence and the Matthew Effect in the European Union Based on the DESI Index

et al. 2022

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“…The development of investment-innovative business is formed on the basis of assessment and analysis of its real and potential technological level, modern IT-systems, customer analytics, number of business processes, knowledge-intensive products, increasing the level of innovation culture aimed at commercializing accumulated knowledge in ensuring increased competitiveness. Digitization of investment-innovative activities of business reflects a complex dynamic intensive development of business entities, which is quantitatively characterized by the ratio of changes in the effectiveness of their interaction in various sectors of the economy and the rate of change of resource costs involved in investment-innovative process (Davymuk et al, 2016;Vyshnevskyi et al, 2021).…”

Section: Methodsmentioning

confidence: 99%

Digitalization of Investment-Innovative Activities of the Trade Business Entities in Network IT-System

Трусова¹,

Yeremenko²,

Karman³

et al. 2021

EEA

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The problem of digital business transformation through innovative development in the country, which affects the transformation of business structures, including trade, remains underdeveloped, which requires further scientific, methodological, practical research and justification. The priority of this study is to develop a system-integrated methodology and practical recommendations for building a model of digitization of investment-innovative activities of the trade entities by transforming the architecture of the business system into an IT-system, which demonstrates improving network interaction in a competitive environment. The article considers the digitalization of investment-innovative activities of the trade entities in the network IT system. The system-integrated methodology is implemented and practical recommendations are offered to build a model of digitalization of investment-innovative activities of the trade entities by transforming the architecture of the business system into an IT system, which demonstrates the efficiency of network interaction in a competitive environment. The block diagram of the activation of Digital-strategy of digitalization of investment-innovative development of business in economy is presented. A block system for evaluating the digitalization of investment-innovative activities of the trade entities in the network IT system is proposed. Indicators of digitalization of investment-innovative activities of the trade entities in the network IT system are grouped according to the components of the balanced scorecard (CFS). The architectural structure of the integrated indicator of the zonal level of digitalization of investment-innovative activities of the trade entities in the network IT system is substantiated. The coordinates of the vector-standard of zonal digitization of investment-innovative activities of the trade entities in the network IT system of Ukraine are determined.

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“…As part of the digital transition to the development of the national economy, many normative acts have been adopted (Kwilinski et al, 2020;Rovňák et al, 2022) and comprehensive studies are being carried out (Vyshnevskyi et al, 2019;Orbik and Zozulakova, 2019;Vyshnevskyi et al, 2020;Albu and Albu, 2021;Kurniawan et al, 2022;Ma and Zhu, 2022;Ozturk and Ullah, 2022;Purnomo et al, 2022;Reza-Gharehbagh et al, 2022;Yang et al, 2022;Zhou et al, 2022;Orzeł and Wolniak, 2022;Brodny and Tutak, 2022;Mynenko and Lyulyov, 2022;Mańka-Szulik and Krawczyk, 2022; The situation is the same with the second trendthe transition to a green economy (European Commission, 2019;Kwilinski et al, 2019;Kuzior et al, 2019;Kuzior et al, 2021;Dźwigoł et al, 2021;Dzwigol et al, 2021;Astawa et al, 2021;Midor, 2022, Deja et al 2019. These questions are often examined simultaneously in many studies (Bonire and Gbenga-Ilori, 2021;Stoican and Chirieac, 2021;Li, Liu and Ni, 2021;Nham and Ha, 2022;Li and Wang, 2022;Zhang et al, 2022a;Zhang et al, 2022b).…”

Section: Literature Reviewmentioning

confidence: 99%

“…To estimate digital economy level is used the Digital Economy and Society Index (hereinafter "DESI"). As have shown in previous analysis DESI more relevant for member countries EU-27 than the ICT Development Index, The Digital Adoption Index and others indexes, which describes process of economy digitalization (Vyshnevskyi et al, 2020). And only DESI is calculated specifically for the EU countries.…”

mentioning

confidence: 91%

“…Thus, there are high expectations about the positive impact of digitalization on achieving climate-neutral EU economy. However, there are alternative points of view on the positive impact of digitalization on the economic (Vyshnevskyi et al, 2020), social (Kwilinski et al, 2020) and environmental spheres (Shvakov and Petrova, 2019;Dźwigoł et al, 2021;Dzwigol et al, 2021). "The experience of the top 10 countries in terms of the level of digital competitiveness in 2019 has shown that digitalization does not contribute to the development of either a shared economy, or a "green" and circular economy, or an energy-efficient economy, and even hinders their development" (Shvakov and Petrova, 2019).…”

Section: Introductionmentioning

confidence: 99%

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Assessment of the Impact of Digitalization on Greenhouse Gas Emissions on the Example of EU Member States

Kuzior

Vyshnevskyi

Трушкіна

2022

Production Engineering Archives

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Digitization and climate neutrality are among the development priorities of EU member states. This causes wide scientific and practical interest in the description of these processes, including their mutual influence. In this case, digitalization is a factor, and climate neutrality, largely characterized by green-house gas emissions, is the answer. Therefore, the purpose of the study is to assess the impact of digitalization on greenhouse gas emissions using the example of EU member states. The scientific novelty of the obtained results is the proposition of hypotheses, the proof of which will allow us to estimate the level of influence of the digitalization process on the volume of greenhouse gases per capita of the EU member states using economic and mathematical tools. It is justified that the direct impact of digitalization on the level of greenhouse gas emissions cannot be considered significant and statistically significant. The impact of digitalization on the processes of reducing greenhouse gas emissions with a delay of 1 to 4 years has not been identified. Considering the low degree of correlation-regression dependence between greenhouse gas emissions and the level of digitization, it can be assumed that either (1) other factors have a significant impact (list), or (2) the observation horizon is “captured” only by the part of the Kuznets curve, which corresponds to the descending part parabolas. Consequently, the conducted analysis shows that there are serious reasons to believe that digitalization is not the main (leading) factor in reducing greenhouse gas emissions. This necessitates further research with the inclusion of a wide range of variables (related to regulatory policy, tax policy, investment policy, the culture of consumption) in the model.

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Economic Growth In The Conditions Of Digitalization In The EU Countries

Cited by 16 publications

References 0 publications

Convergence and the Matthew Effect in the European Union Based on the DESI Index

Convergence and the Matthew Effect in the European Union Based on the DESI Index

Digitalization of Investment-Innovative Activities of the Trade Business Entities in Network IT-System

Assessment of the Impact of Digitalization on Greenhouse Gas Emissions on the Example of EU Member States

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