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Research and Development Indicators of EU28 Countries from Viewpoint of Super-efficiency DEA Analysis

Author

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  • Beáta Gavurová

    (Department of Banking and Investment, Faculty of Economics Technical University of Košice, Němcovej 32, 040 01 Košice, Slovakia)

  • Martina Halásková

    (Department of Public Economics, Faculty of Economics, VŠB - Technical University of Ostrava, Sokolská třída 33, 702 00 Ostrava, Czech Republic)

  • Samuel Koróny

    (Research and Innovation Centre, Faculty of Economics, Matej Bel University, Cesta na amfiteáter 1, 974 01 Banská Bystrica, Slovakia)

Abstract

Research and development are important sources of economic growth and social welfare and play a key role in creating new knowledge, products and technological processes. In our paper we focused on the analysis and evaluation of research and innovation potential in the European Union countries in 2010 and 2015 using Data Envelopment Analysis. For the evaluation, seven indicators were selected, as starting point for the evaluation of research activities and the measurement of the innovation performance and of competitiveness of the individual countries. Input capital indicators were - R&D expenditure in the higher education sector and in the business enterprise sector as % of GDP. Input human labour indicators were total researchers (FTE), human resources in science and technology (HRST) as % of active population and employment in total service intensive sectors as % of total employment. Output indicators were the number of scientific publications and high-tech export as % of total export. On basis of DEA super-efficiency analyses results we can make following conclusions. The best group of five countries is characterized by efficient status in both analysed periods 2010 and 2015 (Bulgaria, Romania, Cyprus, Croatia and United Kingdom). The second group contains two countries Germany and Italy. This countries improved status from inefficient in 2010 to efficient in 2015. In the third group are five countries that worsened their status from efficient in 2010 to inefficient one in 2015: Portugal, Malta, Poland, Luxembourg and Netherlands. In last fourth group are all other EU28 countries that were inefficient in both analysed periods 2010 and 2015. In group of V4 countries situation is not optimistic. Poland worsened its status from efficient in 2010 to inefficient one in 2015 and three remaining countries - Hungary, Czech Republic and Slovakia stagnated in inefficient status in both periods. On the opposite there was not significant difference in super-efficiencies in 2010 and in 2015 and in their differences between capitalist and post-socialist EU28 countries.

Suggested Citation

  • Beáta Gavurová & Martina Halásková & Samuel Koróny, 2019. "Research and Development Indicators of EU28 Countries from Viewpoint of Super-efficiency DEA Analysis," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 67(1), pages 225-242.
  • Handle: RePEc:mup:actaun:actaun_2019067010225
    DOI: 10.11118/actaun201967010225
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    References listed on IDEAS

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    1. Wang, Eric C. & Huang, Weichiao, 2007. "Relative efficiency of R&D activities: A cross-country study accounting for environmental factors in the DEA approach," Research Policy, Elsevier, vol. 36(2), pages 260-273, March.
    2. Hawdon, David, 2003. "Efficiency, performance and regulation of the international gas industry--a bootstrap DEA approach," Energy Policy, Elsevier, vol. 31(11), pages 1167-1178, September.
    3. Henri Delanghe & Ugur Muldur & Luc Soete (ed.), 2009. "European Science and Technology Policy," Books, Edward Elgar Publishing, number 13427.
    4. Seema Sharma & V. J. Thomas, 2008. "Inter-country R&D efficiency analysis: An application of data envelopment analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 76(3), pages 483-501, September.
    5. Kamilia Loukil, 2016. "Innovation Policy and R&D Efficiency in Emerging Countries: a Stochastic Frontier Analysis," Eastern European Business and Economics Journal, Eastern European Business and Economics Studies Centre, vol. 2(3), pages 165-192.
    6. Tone, Kaoru, 2002. "A slacks-based measure of super-efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 143(1), pages 32-41, November.
    7. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 2008. "The Measurement of Productive Efficiency and Productivity Growth," OUP Catalogue, Oxford University Press, number 9780195183528, Decembrie.
    8. Monica Roman, 2010. "Regional Efficiency Of The Knowledge Economy In The New Eu Countries: The Romanian And Bulgarian Case," Romanian Journal of Regional Science, Romanian Regional Science Association, vol. 4(1), pages 33-53, JUNE.
    9. Börje Johansson & Hans Lööf & Maxim Savin, 2015. "European R&D efficiency," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(1-2), pages 140-158, March.
    10. David Hawdon, 2003. "Efficiency and Performance in the Gas Industry," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 106, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
    11. Jin-Li Hu & Chih-Hai Yang & Chiang-Ping Chen, 2014. "R&D Efficiency And The National Innovation System: An International Comparison Using The Distance Function Approach," Bulletin of Economic Research, Wiley Blackwell, vol. 66(1), pages 55-71, January.
    12. Aristovnik, Aleksander, 2014. "Efficiency of the R&D Sector in the EU-27 at the Regional Level: An Application of DEA," MPRA Paper 59081, University Library of Munich, Germany.
    13. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, November.
    14. Peder Olesen Larsen & Markus Ins, 2010. "The rate of growth in scientific publication and the decline in coverage provided by Science Citation Index," Scientometrics, Springer;Akadémiai Kiadó, vol. 84(3), pages 575-603, September.
    15. Conte, Andrea & Schweizer, Philip & Dierx, Adriaan & Ilzkovitz, Fabienne, 2009. "An analysis of the efficiency of public spending and national policies in the area of R&D," MPRA Paper 23549, University Library of Munich, Germany.
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