Economics & Sociology

ISSN: 2071-789X eISSN: 2306-3459 DOI: 10.14254/2071-789X
Index PUBMS: f5512f57-a601-11e7-8f0e-080027f4daa0
Article information
Title: Change of EU28 countries research and development indicators between 2010 and 2015
Issue: Vol. 13, No 1, 2020
Published date: 03-2020 (print) / 03-2020 (online)
Journal: Economics & Sociology
ISSN: 2071-789X, eISSN: 2306-3459
Authors: Martina Halaskova
VŠB- Technical University of Ostrava, Faculty of Economics, Ostrava, Czech Republic

Beata Gavurova
Tomas Bata University in Zlín, Czech Republic; Faculty of Management and Economics, Zlin, Czech Republic

Samuel Korony
Matej Bel University, Faculty of Economics, Banská Bystrica, Slovakia
Keywords: research, development, Malmquist indices, data envelopment analysis
DOI: 10.14254/2071-789X.2020/13-1/15
Index PUBMS: 4859da40-78c8-11ea-a0f3-fa163e0fa1a0
Language: English
Pages: 230-248 (19)
JEL classification: C61, O32, R11, R12
This paper was created within the project Operational Programme Education for Competitiveness (Project No. CZ. 1.07/2.3.00/20.0296). This work is supported by the Scientific Grant Agency of the Ministry of Education, Science, Research, and Sport of the Slovak Republic and the Slovak Academy Sciences as part of the research project VEGA 1/0843/18: Methodological aspects of DEA application on efficiency assessment of production units.

In the paper evaluation of research and development efficiency change in EU28 countries between 2010 and 2015. The authors used the non-radial and non-oriented Malmquist index of available R&D indicators of EU28 countries (five inputs and two outputs) and have found six groups of EU28 countries from the viewpoint of three index terms values (efficiency shift, frontier shift and Malmquist index). The relatively best group of countries with progress in both efficiency shift and frontier shift terms (Malmquist index >1) is represented by two countries: Italy and Germany. The last group contains the six relatively worst countries with regress in all three terms (efficiency shift, frontier shift and Malmquist index < 1): Netherlands, Greece, Malta, Poland, Luxembourg and Portugal. It was found by means of the nonparametric test that post-socialist countries are not different from capitalist EU countries from the viewpoint of efficiency change between 2010 and 2015. The biggest change in R&D efficiency using the Malmquist index between 2010 and 2015 was found in Spain, Latvia, Denmark and Ireland. Conversely, the smallest change in R&D efficiency is demonstrated by Poland, Luxembourg and Portugal.


1. Albu, N. (2011). Research and development spending in the EU: 2020 growth strategy in perspective. WP, 8, 2011.

2. Becker, B. (2015). Public R&D policies and private R&D investment: A survey of the empirical evidence. Journal of Economic Surveys, 29(5), 917-942.

3. Bilan, Y., Mishchuk, H., Samoliuk, N., & Grishnova, O. (2019). Ict And Economic Growth: Links And Possibilities Of Engaging. Intellectual Economics, 13(1), 93-104.

4. Braczyk, H. J., Cooke, P., & Heidenreich, M. (2004). Regional innovation systems the role of governance in a globalized world. New York: Routledge.

5. Borrás, S., & Edquist, C. (2013). The choice of innovation policy instruments. Technological forecasting and social change, 80(8), 1513-1522.

6. Bojnec, Š., & Ferto, I. (2014). Research and development spending and export performance by the technological intensity of the products. Ekonomický časopis, 62(10), 1065-1080.

7. Cooper, W. W., Seiford, L. M., & Tone, K. (2007). Data Envelopment Analysis. A comprehensive text with models, applications, references and DEA-solver software. New York: Springer. doi: 10.1007/978-0-387-45283-8.

8. Corea, P. (2014). Public expenditure reviews in science, technology, and innovation. A guidance note. Washington: World Bank Group. <>

9. Cowan, R., & Van De Paal, G. (2000). Innovation policy in a knowledge-based economy.

10. Brussels-Luxembourg: Commission of the European Communities. [Publication no. EUR 17023 of the Commission of the European Communities].

11. Dai, F., & Liu, G. (2009). R&D efficiency and productivity growth: A Malmquist index analysis of High-Tech industries in China. In: International Conference on Management Science and Engineering. [Proceedings.] pp. 1866-1872.

12. Dobrzanski, P. (2018). Innovation expenditures efficiency in Central and Eastern European Countries. Zbornik radova Ekonomskog fakulteta u Rijeci: časopis za ekonomsku teoriju i praksu, 36(2), 827-859. doi: 10.18045/zbefri.2018.2.827.

13. Drastichová, M. (2015). Sustainability Evaluation of the European Union. In Proceedings of the 9th International Scientific Conference INPROFORUM „Common challenges - Different solutions - Mutual dialogue, pp. 31-39.

14. Dvorský, J., Petráková, Z., Çera, G., & Folvarčná, A. (2019). Important factors for the entrepreneurship in Central Europe. Marketing, 15(2), 71-83. doi:10.21511/im.15(2).2019.06

15. Duľová Spišáková, E., Mura, L., Gontkovičová, B., & Hajduová, Z. (2017). R&D in the context of Europe 2020 in selected countries. Economic Computation and Economic Cybernetics Studies and Research, 51(4), 243-261.

16. European Commission. (2016). Science, research and innovation performance of the EU. Brussels: European Commission. ISBN 978-92-79-49557-1.

17. European Commission. (2018). European research area (ERA).

18. Ekinci, Y., & Karadayi, M. L. (2017). Analysis of the research and development efficiencies of European Union countries. Business & Management Studies: An International Journal, 5(1), 1-19.

19. Eurostat (2017). Statistics database - Research, science and development.

20. Freeman, C. (1995). The national innovation systems in historical perspective. Cambridge Journal of Economics, 19(1), 5-24.

21. Fried, H.O., Knox Lovell, C. A., & Schmidt, S. S. (2008). The measurement of productive efficiency and productivity growth. Oxford: Oxford University Press.

22. Guan, JC., Zuo, KR., Chen, KH., & Yam, RCM. (2016). Does country-level R&D efficiency benefit from the collaboration network structure?. Research Policy, 45(4), 770-784.

23. Hackett, E. J., Amsterdamska, O., Lynch, M., & Wajcman, J. (2008). The handbook of science and technology studies. London: Cambridge, the MIT Press.

24. Halaskova, M., & Bazsova, B. (2016). Evaluation of the efficiency of research and development in EU countries. Acta academicakarviniensia, 16(4), 32-45.

25. Han, U., Asmild, M., & Kunc, M. (2016). Regional R&D efficiency in Korea from static and dynamic perspectives. Regional Studies, 50(7), 1170-1184.

26. Hawdon, D. (2003). Efficiency, performance and regulation of the international gas industry - a bootstrap DEA approach. Energy Policy, 31(11), 1167-1178.

27. Hei Cheung, J., Sung Hur, K., & Jong Park, S. (2019). Are capitalized R&D and expensed R&D costs “sticky”? Korean evidence. Investment Management and Financial Innovations, 16(2), 89-100. doi:10.21511/imfi.16(2).2019.08

28. Ivanová, E., & Čepel, M. (2018). The Impact of Innovation Performance on the Competitiveness of the Visegrad 4 Conutries. Journal of Competitiveness, 10(1), 54-72.

29. Jang, H., Lee, S., & Suh E. (2016). A comparative analysis of the change in R&D efficiency: A case of R&D leaders in the technology industry. Journal Technology Analysis & Strategic Management, 28(8), 886-900.

30. Jaumotte, F., & Pain, N. (2005). From ideas to development: The determinants of R&D and patenting. OECD: OECD Economics Department [Working Paper No. 457].

31. Karadayi, MA., & Ekinci, Y. (2019). Evaluating R&D performance of EU countries using categorical DEA. Technology Analysis & Strategic Management, 31(2), 277-238.

32. Kiselakova, D., Sofrankova, B., Cabinova, V., Onuferova, E., & Soltesova, J. (2018). The Impact of R&D Expenditure on the Development of Global Competitiveness within the CEE EU Countries. Journal of Competitiveness, 10(3), 34-50.

33. Laliene, R., & Sakalas, A. (2014). Conceptual Structure of R&D Productivity Assessment in Public Research Organizations.Economics and Management, 19(1/2014), 25-34.

34. Lee, H. Y, & Park, Y. T. (2005). An international comparison of R&D efficiency: DEA Approach. Asian J. Technology Innovation, 13(2), 207-222.

35. Li, R., Wang, S. (2017). Evaluation and analysis on R&D input-output performance of the major sectors of industrial enterprises based on the DEA method. Revista de la Facultad de Ingenieria, 32 (1), 430-445.

36. Lu, W.CH., & Liu, T.K. (2010). Malmquist indices of R&D productivity growth in taiwanese ic-design industry. Global journal of business research, 4(1).

37. Machová, R., Mura, L., Havierniková, K., & Tóth, Zs. (2017). The entrepreneur’s network as a cooperation form of entrepreneurship: Case of Slovakia. Journal of Applied Economic Sciences, 12(1), 160-169.

38. Melecky, L., & Stanickova, M. (2012). National Efficiency Evaluation of Visegrad Countries in Comparison with Austria and Germany by Selected DEA Models. In: International Conference on Mathematical Methods in Economics. [Proceedings.] Karvina: Silesian U

39. Mishchuk, H., & Grishnova, O. (2015). Empirical study of the comfort of living and working environment – Ukraine and Europe: comparative assessment. Journal of International Studies, 8(1), 67 – 80.

40. Mishchuk, H., Roshchyk, I. Sułkowska, J., & Vojtovič, S. (2019). Prospects of Assessing the Impact of External Student Migration on Restoring the Country's Intellectual Potential (Case Study of Ukraine). Economics & Sociology, 12(3), 209-219. doi:10.14254

41. Moed, H.F., Glänzel, W., & Schmoch, U. (2005). Handbook of quantitative science and technology research- the use of publication and patent. statistics in studies of S&T systems. New York, Boston, Dordrecht, London, Moscow: Kluwer Academic Publishers. ISBN

42. Nasierowski, W., & Arcelus, F. J. (2012): About efficiency of innovations: What can be learned from the innovation union scoreboard index. Procedia - Social and Behavioral Sciences, 58, 792-801.

43. Park, S. (2015). Evaluating the efficiency and productivity change within government subsidy recipients of a national technology innovation research and development program. R&D Management, 45(5), 549-568.

44. Prokop, V., & Stejskal, J. (2017). Different approaches to managing innovation activities: An analysis of strong, moderate, and modest innovators. Inzinerine Ekonomika – Engineering Economics, 28(1), 47-55.

45. Prokop, J., & Karbowski, A. (2018). R&D spillovers and cartelization of industries with differentiated products. Journal of International Studies, 11(3), 44-56. doi:10.14254/2071-8330.2018/11-3/4

46. Ravselj, D., & Aristovnik, A. (2018). The impact of private research and development expenditures and tax incentives on sustainable corporate growth in selected OECD countries. Sustainability, 10 (7), 1-16. doi: 10.3390/su10072304.

47. Říhová, L., Písař, P., & Havlíček, К. (2019). Innovation potential of cross-generational creative teams in the EU. Problems and Perspectives in Management, 17(4), 38-51. doi:10.21511/ppm.17(4).2019.04

48. Rodríguez-Pose, A., & Crescenzi, R. (2008): Research and development, spillovers, innovation systems, and the genesis of regional growth in Europe. Regional Studies, 42(1), 51-67.

49. Sachs, L. (1984). Applied statistics. A handbook of techniques. New York: Springer.

50. Sharma, S., & Thomas, V. (2008). Inter-country R&D efficiency analysis: An application of data envelopment analysis. Scientometrics, 76(3), 483-501.

51. Sherman, H. D., & Zhu, J. (2006). Service productivity management: Improving service performance using data envelopment analysis (DEA). New York: Springer.

52. SJR (2017). Scimago Journal & Country Rank.

53. Staníčková, M. (2017). Can the implementation of the Europe 2020 Strategy goals be efficient? The challenge for achieving social equality in the European Union. Equilibrium-Quarterly Journal of Economics and Economic Policy, 12(3), 383-398. https://doi.or

54. Stepanova, А., Bediukh, О., Novikova, І. (2019). Contradictions of enterprise Europe network development in Ukraine. Problems and Perspectives in Management, 17(4), 190-202. doi:10.21511/ppm.17(4).2019.16

55. Szarowska, I. (2017): Does public R&D expenditure matter for economic growth? GMM approach. Journal of International Studies, 10(2), 90-103.

56. 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. <>.

57. Tone, K. (2002). A Slacks-based measure of super-efficiency in data envelopment analysis. European Journal of Operational Research, 143(1), 32-41.

58. Van Raan, A. F.J., Van Leeuwen, T.N., & Calero-Medina, C. (2009). Performance of European science: research networks and profiles of EU countries in a global perspective. In: Delanghe, H., Muldur, U., Soete, L. (eds). European Science and Technology Polic

59. Wang, E. C., & Huang, W. (2007). Relative efficiency of R&D Activities: A cross-country study accounting for environmental factors in the DEA approach. Research Policy, 6(2), 260-273.

60. Žítek, V., Klímová, V., & Králová, M. (2016). Assessment of Regional Innovation Systems as an Assumption for Innovation Policy Adjustment. Transylvanian Review of Administrative Sciences, (49, E/2016), 169-186.