Aristovnik, Aleksander (2014): Efficiency of the R&D Sector in the EU-27 at the Regional Level: An Application of DEA. Published in: Lex Localis , Vol. 12, No. 3 (July 2014): pp. 519-531.
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Abstract
The main aim of the paper is to measure the relative efficiency of the R&D sector in the EU-27 at the regional level. For this purpose, the paper applies a non-parametric approach, i.e. data envelopment analysis (DEA), to assess the relative technical efficiency of R&D activities across selected EU (NUTS-2) regions. The empirical analysis integrates available inputs (R&D expenditures, researchers and employment in high-tech sectors) and outputs (patent and high-tech patent applications) over the 2005–2010 period. The empirical results show that among regions with a high intensity of R&D activities the most efficient performers are Noord-Brabant (Netherlands), Stuttgart (Germany) and Tirol (Austria). In contrast, a wide range of NUTS-2 regions from the Baltics, Eastern and Southern Europe is characterized by an extremely low rate of knowledge production and its efficiency, particularly in Poland (Mazowieckie), Lithuania (Lietuva), Latvia (Latvija), Romania (Bucuresti-Ilfov), Bulgaria (Yugozapaden), Slovakia (Západné Slovensko), Greece (Attiki), Spain (Canarias) and Italy (Sardegna).
Item Type: | MPRA Paper |
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Original Title: | Efficiency of the R&D Sector in the EU-27 at the Regional Level: An Application of DEA |
Language: | English |
Keywords: | Data Envelopment Analysis (DEA); Efficiency; EU; NUTS-2 regions; R&D |
Subjects: | C - Mathematical and Quantitative Methods > C6 - Mathematical Methods ; Programming Models ; Mathematical and Simulation Modeling > C61 - Optimization Techniques ; Programming Models ; Dynamic Analysis O - Economic Development, Innovation, Technological Change, and Growth > O3 - Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R1 - General Regional Economics |
Item ID: | 59081 |
Depositing User: | Aleksander Aristovnik |
Date Deposited: | 04 Oct 2014 13:29 |
Last Modified: | 29 Sep 2019 21:36 |
References: | 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), pp. 832–848. Avkiran, N.K. (2001) Investigating technical and scale efficiencies of Australian Universities through data envelopment analysis, Socio-Economic Planning Sciences, 35(1), pp. 57–80. Charnes, A., Cooper, W.W., Rhodes, E. (1978). Measuring the efficiency of decision making units, European Journal of Operational Research, 2(6), pp. 429–444. Chen, C. P., Hu, J.L. and Yang, C. H. (2011) R&D efficiency of multiple innovative outputs: The role of the national innovation system, Innovation: Management, policy & practice, 13, pp. 341–360. Eurostat (2012) Science, technology and innovation in Europe (Brussels: European Commission). Farrell, M. (1957) The Measurement of Productive Efficiency, Journal of the Royal Statistical Society Series A (General), 120(3), pp. 253–281. Guan, J., Chen, K. (2010) Modeling macro- R&D production frontier performance: an application to Chinese province-level R&D, Scientometrics, 82(1), pp.165–173. Guan, J., He, Y. Comparison and evaluation of domestic and international outputs in information science and technology research of China, Scientometrics, 65(2), pp. 215–244. Guan, J., Ma, N. (2004) A comparative study of research performance in computer science, Scientometrics, 61(3), pp. 339–359. Guan, J., Wang, J. (2004) Evaluation and interpretation of knowledge production efficiency, Scientometrics, 59(1), pp. 131–155. Huang, C., Varum, C. A., Gouveia, J. B. (2006) Scientific productivity paradox: The case of China’s S&T system, Scientometrics, 69(2), pp. 449–473. Karkazis, J., Thanassoulis, E. (1998) Assessing the effectiveness of regional development policies in Northern Greece using data envelopment analysis, Socio-Economic Planning Sciences, 32(2), pp. 123–137. Lee, H. Y., Park, Y. T. (2005) An international comparison of R&D efficiency: DEA approach, Asian Journal of Technology Innovation, 13(2), pp. 207–222. Lee, H. Y., Park, Y. T., 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), pp. 847–855. Liu, J. S. and Lu, W. M. (2010) DEA and ranking with the network-based approach: a case of R&D performance, Omega-International Journal of Management Science, 38(6), pp. 453–464. Meng, W., Hu, Z., Liu, W. (2006) Efficiency evaluation of basic research in China, Scientometrics, 69 (1), pp. 85–101. Moed, H. F. (2002) Measuring China’s research performance using the Science Citation Index, Scientometrics, 53(3), pp. 281–296. Sharma, S., and Thomas, V. J. (2008) Inter-country R&D efficiency analysis: an application of data envelopment analysis, Scientometrics, 76(3), pp. 483–501. Sueyoshi, T., Goto, M. (2013) A use of DEA–DA to measure importance of R&D expenditure in Japanese information technology industry, Decision Support Systems, 54, pp. 941–952. Wang, E. C., Huang, W. C. (2007) Relative efficiency of R & D activities: A cross-country study accounting for environmental factors in the DEA approach, Research Policy, 36(2), pp. 260–273. Zhong W, Yuan W, Li SX et al. (2011) The performance evaluation of regional R&D investments in China: An application of DEA based on the first official China economic census data, Omega-International Journal of Management Science, 39(4), pp. 447–455. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/59081 |