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Investigating the digital convergence in European Union

An econometric analysis of pitfalls and pivots of digital economic transformation

Bibliographic Data

ID15067778
AuthorsJean Vasile Andrei (0000-0002-8332-6537, Petroleum & Gas University of Ploieşti, corresponding author), Luminița Chivu (0000-0003-3661-2626, National Institute of Economic Research, “Costin C. Kiriţescu”, Romanian Academy, Bucharest, Romania), Violeta Sima (0000-0001-5958-8222, Petroleum & Gas University of Ploieşti), Ileana Georgiana Gheorghe (0000-0002-5220-9864, Petroleum & Gas University of Ploieşti), Dumitru Nancu (0000-0002-3278-0297, Doctoral School Economics II, The Bucharest University of Economic Studies, Bucharest, Romania), Mircea Duică (0000-0002-5106-638X, Valahia University of Targoviste)
Year2023
Volume36
Issue2
Publication date2023-07-10
Open AccessYes
TypeARTICLE
VenueEconomic Research-Ekonomska Istraživanja (JOURNAL)
Journal identifiersISSN: 1331-677X • E-ISSN: 1848-9664
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/1331677x.2022.2142814
OpenAlexW4309046832
LanguageEN
Citations received2
References cited31

This study aims to investigate the convergence of digitalisation in the European Union (EU) in terms of DESI per capita in all EU countries during 2015–2020. The empirical results sustain the hypothesis of convergence of the degree of digital level in the European Union member countries. In evaluating the convergence process, we also aimed to investigate the role of economic development and education, measured by gross value added and education index. The analysis results, the use of sigma and beta convergence methods, showed that the role of economic development is likely to be decisive in resolving disparities, as opposed to that of educational development. The sigma convergence analysis showed that the gap between the EU-28 countries regarding digitalisation tends to decrease in the analysed period. Spatial data analysis, in turn, provides strong evidence for the presence of spatial autocorrelation in the DESI distribution. This result is based on a spatial lagged model that considers that DESI growth rates are related both to their initial levels of digitalisation and the growth rates of neighbouring regions

Digital transformation · Econometrics · Economics · European union · International economics · Macroeconomics · Computer Science · Economic Growth and Productivity · ICT Impact and Policies · Regional Development and Policy

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Citations per year0.67
Citation span2023 - 2026 (4)
Highly citedNo

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