Digital Skills in the EU: Cluster Analysis

Authors

  • Chief Assist. Prof. Dr Nikolai Velichkov Department of Economics, Faculty of General Economics, UNWE Author
  • Chief Assist. Prof. Dr Kristina Stefanova Department of Economics, Faculty of General Economics, UNWE Author

Keywords:

Cluster analysis, Digital skills, Industry 4.0, EU
C38, O33, P51

Abstract

This paper aims at drawing the distinctions between European Union member states with respect to the digital skills of the population along with identifying similarities among the different countries comprising a common model. The results of the applied cluster analysis method reveal that the degree of digital competence can be perceived as an important model-defining characteristic for the differentiation of individual models within the EU. At the same time, the obtained results demonstrate the existence of similarities among countries with relatively close geographic location and similar degree of economic development.

References

N Velichkov, K Stefanova - Economic Alternatives, 2017 (2017). Tax models in the EU: a cluster analysis. Economic Alternatives, 573-583. URL: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3161378

Published

2018-07-06

Issue

Section

Articles

How to Cite

Velichkov, N., & Stefanova, K. (2018). Digital Skills in the EU: Cluster Analysis. Research Papers, 3, 111-122. https://bjiep.e-dnrs.org/index.php/rp/article/view/5551