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Statistical Analysis of Interdependence of ICT and Economic Development of Selected European Countries

Author

Listed:
  • Stamenković Milan

    (University of Kragujevac, Faculty of Economics, Republic ofSerbia)

  • Milanović Marina

    (University of Kragujevac, Faculty of Economics, Republic ofSerbia)

  • Petrović Dragana Rejman

    (University of Kragujevac, Faculty of Economics, Republic ofSerbia)

Abstract

The research focus on the analysis of interdependence of economic and ICT development results from the fact that, in recent decades, ICTs have become a dominant factor in generating socio-economic prosperity of countries. ICT expansion is a stimulus for economic growth, and vice versa. In order to empirically verify the observed interdependence, on the example of the selected 37 European countries, a two-stage statistical analysis was conducted, based on a combined application of cluster analysis and a oneway analysis of variance. Using specific data from 2017, the following was conducted: (a) formation of groups of countries by implementing cluster analysis based on the three structural components of the ICT Development Index; and (b) by applying the ANOVA method and using the values of GDP per capita, testing the validity of assumption regarding the existence of statistically significant differences, in terms of the achieved level of economic development between the formed groups of countries of different levels of ICT development. The obtained results suggest the extraction of three clusters of countries and the acceptance of the defined hypothesis. Serbia is classified within the cluster of medium ICT development level and is characterized by the value of GDP per capita that is significantly below the group average, which indicates the possibility and the need for improvement in the ICT field.

Suggested Citation

  • Stamenković Milan & Milanović Marina & Petrović Dragana Rejman, 2021. "Statistical Analysis of Interdependence of ICT and Economic Development of Selected European Countries," Economic Themes, Sciendo, vol. 59(2), pages 259-280, June.
  • Handle: RePEc:vrs:ecothe:v:59:y:2021:i:2:p:259-280:n:4
    DOI: 10.2478/ethemes-2021-0015
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    Keywords

    statistical analysis; cluster analysis; ANOVA; ICT development; economic development; selected European countries;
    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
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • O57 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Comparative Studies of Countries

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