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Global Competitiveness of Europe: A Robust Assessment

Author

Listed:
  • Elena Fifeková

    (Center of Social and Psychological Sciences of the Slovak Academy of Science)

  • Eduard Nežinský

    (Center of Social and Psychological Sciences of the Slovak Academy of Science)

  • Edita Nemcová

    (Center of Social and Psychological Sciences of the Slovak Academy of Science)

Abstract

National (global) competitiveness became the central issue during the global crisis. Using the values of the three main subdimensions of the Global Competitiveness Index, we propose alternative DEA-based competitiveness indicators. In our approach, the index is nested in the more general measure of the competitiveness-given-performance indicator. We find that globally competitive European countries do not transform competitiveness into income per capita efficiently. Decomposition of the scores suggests that most of the relative inefficiency concentrates in innovation activity. The results proved robust against the CCR model used in previous research as well as principal component analysis.

Suggested Citation

  • Elena Fifeková & Eduard Nežinský & Edita Nemcová, 2018. "Global Competitiveness of Europe: A Robust Assessment," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 4, pages 245-260, December.
  • Handle: RePEc:cmn:journl:y:2018:i:4:p:245-260
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    References listed on IDEAS

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    1. Dejan Ravšelj & Aleksander Aristovnik, 2017. "R&D Subsidies as Drivers of Corporate Performance in Slovenia: The Regional Perspective," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 2, pages 79-95, June.
    2. Aleksandra Kordalska & Magdalena Olczyk, 2016. "Global Competitiveness And Economic Growth: A One-Way Or Two-Way Relationship?," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 11(1), pages 121-142, March.
    3. Mercedes Delgado & Christian Ketels & Michael E. Porter & Scott Stern, 2012. "The Determinants of National Competitiveness," NBER Working Papers 18249, National Bureau of Economic Research, Inc.
    4. Alemka Šegota & Marko Tomljanoviæ & Ivona Huðek, 2017. "Contemporary approaches to measuring competitiveness – the case of EU member states," Zbornik radova Ekonomskog fakulteta u Rijeci/Proceedings of Rijeka Faculty of Economics, University of Rijeka, Faculty of Economics and Business, vol. 35(1), pages 123-150.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. Natalie Uhrová & Petr Skalka, 2016. "The Impact of Minimum Wage Changes on Management in the Czech Republic," DANUBE: Law and Economics Review, European Association Comenius - EACO, issue 3, pages 183-189, September.
    7. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
    8. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, June.
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