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Digital Economy in Czech Republik, Slovakia and Hungary. Measurement with Topsis based on Entropy Measure for Objective Weighting

Author

Listed:
  • Adam P. Balcerzak

    (Nicolaus Copernicus University)

Abstract

Effective digital economy is currently considered as a factor that can increase chances for avoiding middle income trap in Central European economies. Taking into account regional perspective building conditions for developing digital economy can support the process of closing development gap and utilizing the potential of convergence in the case of underdeveloped or peripheral regions. As a result, supporting the digital economy is currently considered as an important policy objective both form national and regional perspective. Thus, the objective of the article is to compare the development level of the digital economy in Czech Republic, Slovak and Hungary. The research was conducted for the year 2015. In the research the digital economy is defined as a multiple-criteria phenomenon, which is described with diagnostic variables proposed by Eurostat for measurement of the digital economy at regional level (NUTS 1). In the article TOPSIS method was implemented. In the case of every multiple-criteria analysis tasks a basic dilemma relates to the problem of applying weights for variables used in the research, which should be appropriate for their importance in forming the measured phenomenon. To solve that problem two approaches were applied here. First, the TOSPIS method with equal weights for all the variables was used. In the second approach the TOPSIS method was extended with Shannon entropy and objective weights concept. The obtained results confirm some disparities between the regions in the analyzed part of Central Europe and the importance of habits and human capital in the process of utilizing potential of the digital economy.

Suggested Citation

  • Adam P. Balcerzak, 2017. "Digital Economy in Czech Republik, Slovakia and Hungary. Measurement with Topsis based on Entropy Measure for Objective Weighting," Working Papers 1/2017, Institute of Economic Research, revised May 2017.
  • Handle: RePEc:pes:wpaper:2017:no1
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    Cited by:

    1. Xiaoyi Shi & Xiaoxia Huang & Huifang Liu, 2022. "Research on the Structural Features and Influence Mechanism of the Low-Carbon Technology Cooperation Network Based on Temporal Exponential Random Graph Model," Sustainability, MDPI, vol. 14(19), pages 1-24, September.

    More about this item

    Keywords

    digital economy; multiple-criteria decision analysis (MCDA); TOPSIS; Shannon entropy; objective weights;
    All these keywords.

    JEL classification:

    • P25 - Political Economy and Comparative Economic Systems - - Socialist and Transition Economies - - - Urban, Rural, and Regional Economics
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis

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