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Technological Potential of European Economy

Author

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  • Adam P. Balcerzak

    (Nicolaus Copernicus University, Poland)

Abstract

The subject of the research is a technological potential of European Economies at macroeconomic level. The main aim of the article is to assess relative position and eventual progress in that sphere obtained by Central European economies that joined the European Union after the year 2004. Additional goal of the research is to verify usefulness of variables that can be used in measurement of technological potential at macroeconomic level in European economies with application of multiple criteria decision analysis methodology. In the research the phenomenon of technological potential was treated as a multivariate problem. Thus, in order to measure it the multiple criteria decision analysis approach based on the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) was applied. The research was conducted with application of Eurostat Data and diagnostic variables proposed for measurement of technological potential at macro level in European members states. It was done for the years 2008-2012. The applied procedure of verification of information value of potential diagnostic variables enabled to select six final diagnostic variables. The conducted research enabled to point the European leaders, which can be treated as benchmark countries and the source of good practices in the process of forming policy guidelines aiming at supporting technological development. The research showed significant progress obtained by some new European Union members states, which confirms modernization process of Central European economics.

Suggested Citation

  • Adam P. Balcerzak, 2016. "Technological Potential of European Economy," Working Papers 33/2016, Institute of Economic Research, revised Sep 2016.
  • Handle: RePEc:pes:wpaper:2016:no33
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    Citations

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    Cited by:

    1. Eleni Laitsou & Antonios Kargas & Dimitris Varoutas, 2020. "Digital Competitiveness in the European Union Era: The Greek Case," Economies, MDPI, vol. 8(4), pages 1-33, October.
    2. Radka MacGregor Pelikánová & Eva Daniela Cvik, 2018. "Impact of GDPR Security Measures on the Intellectual Property and Unfair Competition," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 66(6), pages 1535-1542.
    3. Cvik Eva Daniela & Pelikánová Radka MacGregor & Malý Michal, 2018. "Selected Issues from the Dark Side of the General Data Protection Regulation," Review of Economic Perspectives, Sciendo, vol. 18(4), pages 387-407, December.
    4. Agnieszka Malkowska & Maria Urbaniec & Malgorzata Kosala, 2021. "The impact of digital transformation on European countries: insights from a comparative analysis," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 16(2), pages 325-355, June.
    5. Ryszard Borowiecki & Barbara Siuta-Tokarska & Jolanta Maroń & Marcin Suder & Agnieszka Thier & Katarzyna Żmija, 2021. "Developing Digital Economy and Society in the Light of the Issue of Digital Convergence of the Markets in the European Union Countries," Energies, MDPI, vol. 14(9), pages 1-26, May.
    6. Radka MacGregor Pelikánová & Eva Daniela Cvik & Robert MacGregor, 2019. "Qualified Electronic Signature - eIDAS Striking Czech Public Sector Bodies," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 67(6), pages 1551-1560.
    7. Radka MacGregor Pelikánová, 2019. "Corporate Social Responsibility Information in Annual Reports in the EU—A Czech Case Study," Sustainability, MDPI, vol. 11(1), pages 1-21, January.
    8. Radka MacGregor Pelikánová & Tereza Němečková & Robert K. MacGregor, 2021. "CSR Statements in International and Czech Luxury Fashion Industry at the Onset and during the COVID-19 Pandemic—Slowing Down the Fast Fashion Business?," Sustainability, MDPI, vol. 13(7), pages 1-19, March.

    More about this item

    Keywords

    technological potential; multiple criteria decision analysis; TOPSIS; European Union;
    All these keywords.

    JEL classification:

    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • C38 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Classification Methdos; Cluster Analysis; Principal Components; Factor Analysis
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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