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Digital Skills in the EU: Cluster Analysis

Author

Listed:
  • Nikolai Velichkov

    (University of National and World Economy, Sofia, Bulgaria)

  • Kristina Stefanova

    (University of National and World Economy, Sofia, Bulgaria)

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.

Suggested Citation

  • Nikolai Velichkov & Kristina Stefanova, 2018. "Digital Skills in the EU: Cluster Analysis," Nauchni trudove, University of National and World Economy, Sofia, Bulgaria, issue 3, pages 111-122, July.
    • Handle: RePEc:nwe:natrud:y:2018:i:3:p:111-122
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    File URL: http://unwe-research-papers.org/bg/journalissues/article/9988
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    More about this item

    Keywords

    digital skills; cluster analysis; EU; Industry 4.0;
    All these keywords.

    JEL classification:

    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • P51 - Political Economy and Comparative Economic Systems - - Comparative Economic Systems - - - Comparative Analysis of Economic Systems
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

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