STATISTICAL DIMENSIONS OF THE DIGITAL ECONOMY

Authors

Keywords
digital economy, absolute sigma and beta convergence

Summary
The aim of the study is to evaluate the statistical dimensions of the digital economy in terms of cross-section and time-series analysis and assessment of the degree of convergence withinn EU countries. The research thesis is that statistical methods improve the possibilities for statistical assessment of the digital economy and assessment of the degree of convergence within the EU countries. A critical analysis of the theoretical foundations of the essence of the digital economy has been made and as a result a definition has been proposed. A system of indicators, deliberately selected by the authors for characterization of the digital economy, as well as their information sources are presented. A methodological framework of the study of the statistical dimensions of the digital economy has been developed. It consists of - cross-section and time-series analysis, classification of countries into groups and assessment of convergence through the approaches of absolute sigma and beta convergence. As a result of the statistical analysis for the period 2010–2020, an upward trend in the levels of the selected indicators for almost all countries has been identified. Based on the level of indicators in 2010 and the speed of change in the period 2010-2020, the EU-27 countries are classified into four groups - running ahead, lagging ahead, catching up and falling behind countries. Convergence in indicators characterizing the digital economy within EU-27 is assessed upon the methodology of absolute beta and sigma convergence.

JEL: C10, C50, O30
Pages: 1
Price: 2 Points

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