Where Central and Eastern European countries stand in terms of digital readiness

Abstract The paper employs a cross-sectional data set comprising the main dimensions of the European Union's International Digital Economy and Society Index (I-DESI) and utilises grouping methods based on objective weights to evaluate the relative digital readiness of Hungary and other Central and Eastern European (CEE) member states of the EU. The objective was not to establish a total ordering (ranking) of the countries in the data set, but rather to identify the most appropriate means of grouping the CEE countries into homogeneous units, utilising multivariate statistical and decision-theoretical techniques (tiered DEA, partially ordered sets and clustering). Despite the disparate methodologies employed, the findings are consistent in that the CEE countries (including Hungary) exhibit a general resemblance to one another and demonstrate comparatively lower levels of digital readiness than Northern and Western European countries. The notable exception is Estonia, which exhibits a distinctive level of digital advancement.

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Publication Details

Journal
Society and Economy
Published
2024-10-17
DOI
https://doi.org/10.1556/204.2024.00012
Citations
1
Primary Topic
Regional Development and Policy
Type
article
Field-Weighted Citation Impact
2.23
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article

Where Central and Eastern European countries stand in terms of digital readiness

Imre Dobos, Zoltán Bánhidi
1 citations
Society and Economy
Regional Development and Policy
2.23
article

Where Central and Eastern European countries stand in terms of digital readiness

Imre Dobos, Zoltán Bánhidi
article en
1 citations

Abstract

Abstract The paper employs a cross-sectional data set comprising the main dimensions of the European Union's International Digital Economy and Society Index (I-DESI) and utilises grouping methods based on objective weights to evaluate the relative digital readiness of Hungary and other Central and Eastern European (CEE) member states of the EU. The objective was not to establish a total ordering (ranking) of the countries in the data set, but rather to identify the most appropriate means of grouping the CEE countries into homogeneous units, utilising multivariate statistical and decision-theoretical techniques (tiered DEA, partially ordered sets and clustering). Despite the disparate methodologies employed, the findings are consistent in that the CEE countries (including Hungary) exhibit a general resemblance to one another and demonstrate comparatively lower levels of digital readiness than Northern and Western European countries. The notable exception is Estonia, which exhibits a distinctive level of digital advancement.

Society and EconomyVol. 47(1)
Budapest University of Technology and Economics (HU)
Partnerships for the goals
Openalex Percentile: Top 10%
Regional Development and Policy
2.23
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