The impact of participation in European joint research projects on knowledge creation and economic growth
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This paper investigates the impact of participation in European scientific networks on the stock of knowledge and on economic growth. We use scientific links in FP programmes to weight foreign R&D in order to construct two different measures of foreign R&D spillovers and we assess their impact on the production of knowledge (patents) and on economic growth in a panel of countries participating in FP over the period 1994–2005. We find that participation in EU funded projects is an important channel of knowledge transfer. However, while for countries with high levels of R&D expenditure R&D spillovers contribute to the generation of new knowledge, for low R&D spenders knowledge spillovers facilitate technological imitation and catching up.
KeywordsR&D collaboration EU Framework Programmes Knowledge spillovers Patents Economic growth
JEL ClassificationO33 O47 L14 C2
- Abdelmoula, M., & Legros, D. (2009). Interregional R&D spillovers. In Europe. Région et Développement, 30, 101–117.Google Scholar
- Arellano, M. & Bo, H. (2001). Panel data models: Some recent developments, Chapter 53. In J. J. Heckman & E. E. Leamer (Eds.), Handbook of econometrics (Vol. 5, pp. 3229–3296). Elsevier.Google Scholar
- Caloghirou, Y., Vonortas, N. S., & Ioannides, S. (Eds.). (2006). Knowledge flows in European industry. London and New York: Edward Elgar.Google Scholar
- Cincera, M., & Van Pottelsberghe de la potterie, B. (2001). International R&D spillovers: A survey. Cahiers Economiques de Bruxelles, 169(1), 3–32.Google Scholar
- Commission of the European Communities. (1994–2005). Annual report on research and technological development activities of the European union.Google Scholar
- Commission of the European Communities. (2005). RTD info, n. 46.Google Scholar
- Cordis website. http://cordis.europa.eu/cip/index.html.
- D’Este, P., Guy F., & Iammarino, M. (2012). Shaping the formation of university-industry research collaborations: What type of proximity does really matter? Journal of Economic Geography. doi: 10.1093/jeg/lbs010.
- Eurostat website. http://epp.eurostat.ec.europa.eu.
- Griliches, Z. (1990). Patents statistics as economics indicators: A survey. Journal of Economics Literature, 28(4), 1661–1707.Google Scholar
- Hall, B.H., Mairesse J., & Mohnen, P. (2010). Measuring the returns to R&D, United Nations University ONU-MERIT Working Paper Series, 006.Google Scholar
- Maggioni, M.A., Novelli, M., & Uberti, T.E. (2011). Treating patents as relational data. Industry and Innovation, pp.39–67.Google Scholar
- Miotti, L., & Sachwald, F. (2003). Co-operative R&D: Why and with whom? An integrated framework of analysis, Research Policy, 32, 1481–1499.Google Scholar
- Peri, G. (2004). Knowledge flows and productivity. Rivista di Politica Economica, III–IV, 21–59.Google Scholar
- Roediger-Schluga, T., & Barber, M. J. (2006). The structure of R&D collaboration networks in the European framework programmes, UNU-MERIT Working Paper Series, 36.Google Scholar
- Roediger-Schluga, T., & Dachs, B. (2006). Does technology affect network structure?. UNU-MERIT Working Paper Series: A quantitative analysis of collaborative research projects in two specific EU programmes. 41.Google Scholar
- Terleckyj, N. E. (1980). What do R&D numbers tell us about technological change. American Economic Review, 70(2), 55–61.Google Scholar
- Verspagen, B. (1997). Estimating international technology spillovers using technology flow matrices. Review of World Economics, 133(2), 226–248.Google Scholar