Efficiency of the R&D Sector in the EU States. Does the Source of Funds Matter?

• Autorzy: Kamil Albert Homski
• Języki publikacji: EN

Abstrakty

EN

The first aim of this study was to measure the efficiency of the R&D sector in the EU countries. The findings have indicated that the sector's efficiency was different in particular countries. It was more than three times higher in the most efficient states than in the least efficient ones. The results also indicate that decreasing returns to scale are characteristic in the R&D sector in the EU countries. The second aim was to examine the relationship between the efficiency of the R&D sector and the structure of its financing. The empirical results occurred to be consistent with the research hypotheses - the public sector's share in the R&D financing structure affects the efficiency of the R&D sector positively, while the private sector's share affects it negatively. (original abstract)

Słowa kluczowe

EN

R&D in the enterprise; R&D policy; R&D facility research; European Communities Institutions

PL

Sfera B+R w przedsiębiorstwie; Polityka badawczo-rozwojowa; Placówki badawczo-rozwojowe; Instytucje WE

• Czasopismo: Research Papers in Economics and Finance
• Rocznik: 2018
• Tom: 3
• Numer: nr 2
• Strony: 37--44

Twórcy

autor

Kamil Albert Homski

• Poznan University of Economics and Business

Bibliografia

• Ali-Yrkkö, J. (2004). Impact of public R&D financing on private R&D: Does financial constraint matter? ETLA Discussion Papers, No. 943, Finland: The Research Institute of the Finnish Economy (ETLA).
• Baumol, W. J. (2002). The free-market innovation machine: Analyzing the growth miracle of capitalism. Princeton University Press.
• David, P. A., Hall, B. H., Toole, A. A. (2000). Is public R&D a complement or substitute for private R&D? A review of the econometric evidence. Research policy, 29(4-5), 497-529.
• Domagała, A. (2007). Metoda Data Envelopment Analysis jako narzędzie badania względnej efektywności technicznej. Badania operacyjne i decyzje, (3-4), 21-34.
• Domagała, A. (2009). Zastosowanie metody Data Envelopment Analysis do badania efektywności europejskich giełd papierów wartościowych. in: B. Guzik, Poznań: Wydawnictwo Uniwersytetu Ekonomicznego w Poznaniu.
• Domagała, A. (2014). O wykorzystaniu analizy głównych składowych w metodzie Data Envelopment Analysis. Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu. Taksonomia, 23(328 Klasyfikacja i analiza danych - teoria i zastosowania), 254-263.
• European Research Council, (2015). ERC Funding Activities 2007-2013. Luxembourg: Publications Office of the European Union.
• Eurostat, (2018). http://ec.europa.eu/eurostat/data/database (access: 13.02.2018).
• Guan, J., & Yam, R. C. (2015). Effects of government financial incentives on firms' innovation performance in China: Evidences from Beijing in the 1990s. Research Policy, 44(1), 273-282.
• Guellec, D., Van Pottelsberghe de la Potterie, B. (2004). From R&D to Productivity Growth: Do the Institutional Settings and the Source of Funds of R&D Matter? Oxford Bulletin of Economics and Statistics, 66(3), 353- 378.
• Keller, W. (2002). Geographic localization of international technology diffusion. American Economic Review, 92(1), 120-142.
• Lee, J., (2017). A Study on the Determinants of R&D Efficiency in Government-supported Research Institutes Using Tobit Model. Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, 7(8), 343-352.
• Lucas Jr, R. E. (1988). On the mechanics of economic development. Journal of Monetary Economics, 22(1), 3-42.
• Romer, P. M., (1986). Increasing returns and long-run growth. Journal of Political economy, 94(5), 1002-1037.
• Romer, P. M. (1990). Endogenous technological change. Journal of Political Economy, 98(5, Part 2), S71-S102.
• Scimago, (2018). https://www.scimagojr.com/ (access: 13.02.2018).
• Sharma, S., & Thomas, V. (2008). Inter-country R&D efficiency analysis: An application of data envelopment analysis. Scientometrics, 76(3), 483-501.
• Solow, R. M., (1957). Technical change and the aggregate production function. The review of Economics and Statistics, 39(3), 312-320.
• 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.
• 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, 36(2), 260-273.

Identyfikatory

DOI

https://doi.org/10.18559/ref.2018.2.4