İstanbul Bilgi Üniversitesi
Melis Almula KARADAYI
İstanbul Bilgi Üniversitesi

Published 2017-04-21

How to Cite

EKİNCİ, Y., & KARADAYI, M. A. (2017). ANALYSIS OF THE RESEARCH AND DEVELOPMENT EFFICIENCIES OF EUROPEAN UNION COUNTRIES. Business & Management Studies: An International Journal, 5(1), 1–19. https://doi.org/10.15295/bmij.v5i1.97


Research and Development (R&D) activities of the countries are of crucial importance in order to compete in the emerging market. Although this importance is widely recognized, the efficiency of these activities has been rarely examined in the literature. Therefore, this study is an attempt to analyze the R&D efficiencies of European Union (EU) member countries. EU countries are selected for this study since the competition between these countries is very high and they invest a significant amount of resources in this area. Data Envelopment Analysis (DEA) is used in order to measure the relative efficiency scores. Then, the effect of political and regulatory environment on R&D efficiencies of EU countries is analyzed via hypothesis testing. The relative efficiency scores and hypothesis test results give valuable information for social policy makers in making decisions about planning R&D activities. The findings will also be useful for the countries aiming to participate the union, such as Turkey.


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  1. Agutter, A.J. (1995). The Linguistic Significance of Current British Slang. (Published doctoral dissertation) Edinburgh Univesity, United Kingdom.
  2. Alp, İ. & Sözen, A. (2014). Turkey's Performance of Energy Consumption: A Study Making a Comparison with the EU Member States. Energy Sources, Part B: Economics, Planning, and Policy, 9(1), 87-100. doi:10.1080/15567241003773218
  3. Altıntaş, H. & Mercan, M. (2015). The Relationship between Research and Development (R&D) Expenditures: Panel Cointegration Analysis Under Cross Sectional Dependency on OECD Countries. Ankara Üniversitesi SBF Dergisi, 70(2), 345-376.
  4. Aristovnik, A. (2012). The Relative Efficiency of Education and R&D Expenditures in the New EU Member States. Journal of Business Economics and Management, 13(5), 832-848. doi:10.3846/16111699.2011.620167
  5. Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the Efficiency of Decision Making Units. European Journal of Operational Research, 2(6), 429-444. doi:10.1016/0377-2217(78)90138-8
  6. Cook, W. D., Cooper, W. W.,M Seiford, L. M., & Tone, K. (2001). Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References and DEA-solver Software. Kluwer Academic Publishers.
  7. Cullmann, A., Schmidt-ehmcke, J., & ZloczystI, P. (2009). Innovation, R&D Efficiency and the Impact of the Regulatory Environment: A Two-stage Semi-parametric DEA Approach. DIW Berlin Discussion Paper, No: 883.
  8. Doyle, J. & Green, R. (1994). Efficiency and Cross-efficiency in DEA: Derivations, Meanings and Uses. Journal of the Operational Research Society, 45(5), 567-578. doi: 10.2307/2584392
  9. Dutta, S. & Lanvin, B. (2013), The Global Innovation Index 2013.
  10. EPO (2016). Retrived from https://www.epo.org/index.html
  11. Eurostat (2016). Retrived from http://ec.europa.eu/eurostat
  12. Farrell, M.J. (1957). The Measurement of Productive Efficiency. Journal of the Royal Statistical Society, Series A,120, 253-290.doi: 10.2307/2343100
  13. Garcia-valderrama, T., Mulero-mendigorri, E., & Revuelta-bordoy, D. (2009). Relating the Perspectives of the Balanced Scorecard for R&D by Means of DEA. European Journal of Operational Research, 196(3), 1177-1189. doi:10.1016/j.ejor.2008.05.015
  14. Güngör, K. (2016). Compliance Of Candidate Countries’ Fiscal Performances To European Union Membership Criteria In Global Crisis Process/Küresel Ekonomik Kriz Sürecinde Aday Ülkelerin Mali Performanslarinin Avrupa Birliği’ne Üyelik Kriterlerine Uyumu. Business And Management Studies: An International Journal, 4(3), 273-290.
  15. Han, U., Asmild, M., & Kunc, M. (2014). Regional R&D Efficiency in Korea from Static and Dynamic Perspectives. Regional Studies, 1-15. doi:10.1080/00343404.2014.984670
  16. Holland, M. Guide to citing Internet sources (2004, November 4). Retrived from http://www.bournemouth.ac.uk/library/using/guide_to_citing_internet_sourc.html.
  17. Hu, J. L., Yang, C. H., & Chen, C. P. (2014). R&D Efficiency and the National Innovation System: An International Comparison Using the Distance Function Approach. Bulletin of Economic Research, 66(1), 55-71.doi: 10.1111/j.1467-8586.2011.00417.x
  18. Lee, H. Y. & Park, Y. T. (2005). An International Comparison of R&D Efficiency: DEA Approach. Asian Journal of Technology Innovation. 13(2), 207-222. doi: 10.1080/19761597.2005.9668614
  19. Lee, H., Park, Y. & Choi, H. (2009). Comparative Evaluation of Performance of National R&D Programs with Heterogeneous Objectives: A DEA Approach. European Journal of Operational Research, 196(3), 847-855. doi:10.1016/j.ejor.2008.06.016
  20. Lee, K. & Yoon, B. (2015). The Idiosyncrasy of Research and Development Efficiency Across Types of Small‐and medium‐sized Enterprises: Evidence from Korea. R&D Management, 45(3), 250-266. doi:10.1111/radm.12082.
  21. Luenberger, D.G. (1973). Introduction to Linear and Nonlinear Programming. Addison-Wesley: California.
  22. Roman, M. (2010). Regional Efficiency of the Knowledge Economy in the New EU Countries: The Romanian and Bulgarian Case. Romanian Journal of Regional Science, 4(1), 33-53.
  23. Rosen, J.B. (1961). The Gradient Projection Method for Nonlinear Programming: Part II Nonlinear Constraints. Journal of the Society for Industrial and Applied Mathematics, 9, 514-532. doi:10.1137/0109044.
  24. Sharma, S., & Thomas, V. (2008). Inter-country R&D efficiency analysis: An application of data envelopment analysis. Scientometrics, 76(3), 483-501.
  25. Sherman, H. D. & Zhu, J. (2006), Service Productivity Management: Improving Service Performance Using Data Envelopment Analysis (DEA). Springer Science & Business Media: Boston, MA, USA.
  26. Thomas, V. J., Jain, S. K. & Sharma, S. (2009). Analyzing R&D Efficiency in Asia and the OECD: An Application of the Malmquist Productivity Index. In Science and Innovation Policy, 2009 Atlanta Conference on IEEE, 1-10.
  27. Thomas, V., J. Sharma, S. & Jain, S. K. (2011). Using Patents and Publications to Assess R&D Efficiency in the States of the USA. World Patent Information, 33(1), 4-10.doi:10.1016/j.wpi.2010.01.005
  28. Ulucan,A. (2002). Data Envelopment Analysis Approach in Efficiency Measurement of IS0500 Companies: Evaluations Using Different Input Output Components and Different Returns to Scale. Ankara Üniversitesi SBF Dergisi, 57(2), 187-202.
  29. USPTO. (2016). Retrived from http://www.uspto.gov
  30. Wang, E. C. (2007). R&D Efficiency and Economic Performance: A Cross-country Analysis Using the Stochastic Frontier Approach. Journal of Policy Modeling, 29(2), 345-360. doi:10.1016/j.jpolmod.2006.12.005.
  31. Wu, H. C., & Liu, S. F. (2007). Evaluaton on the R&D Relative Efficiency of Different Areas in China Based on Improved DEA Model [J]. R&D Management, 2, 108-112.
  32. Yıldız, A. (2006). Evaluation of Portfolio Performance with Data Envelopment. Ankara Üniversitesi SBF Dergisi, 61(2), 211-234