Effectiveness of Public R&D Subsidies in East Germany – Is it a Matter of Firm Size?
This paper analyses the impact of public subsidies on private sector research and development (R&D) activity for East German firms. Using propensity score matching, our empirical results indicate that subsidized firms indeed show a higher level of R&D intensity and a higher probability for patent application compared to non-subsidized firms for our sample year 2003. On average we find an increase in the R&D intensity of about 3.7 percentage points relative to non-subsidized firms. The probability for patent applications rises by 21 percentage points. These results closely match earlier empirical results for East Germany. Given the fact that the East German innovation system is particularly driven by small and medium sized enterprises (SME), we put a special focus on the effectiveness of the R&D subsidies for this latter subgroup. Here no previous empirical evidence is available so far. Our findings indicate that policy effectiveness also holds for private R&D activity of SMEs, where the highest increase in terms of R&D intensity is estimated for micro businesses with up to 10 employees.
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- Almus, Matthias & Czarnitzki, Dirk, 2001.
"The effects of public R&D subsidies on firms' innovation activities: the case of Eastern Germany,"
ZEW Discussion Papers
01-10, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
- Almus, Matthias & Czarnitzki, Dirk, 2003. "The Effects of Public R&D Subsidies on Firms' Innovation Activities: The Case of Eastern Germany," Journal of Business & Economic Statistics, American Statistical Association, vol. 21(2), pages 226-36, April.
- Dirk Czarnitzki & Georg Licht, 2006. "Additionality of public R&D grants in a transition economy," The Economics of Transition, The European Bank for Reconstruction and Development, vol. 14(1), pages 101-131, 03.
- Augurzky, Boris & Schmidt, Christoph M., 2001. "The Propensity Score: A Means to An End," IZA Discussion Papers 271, Institute for the Study of Labor (IZA).
- James J. Heckman & Hidehiko Ichimura & Petra E. Todd, 1997. "Matching As An Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Oxford University Press, vol. 64(4), pages 605-654.
- Conte, Andrea & Vivarelli, Marco, 2005.
"One or Many Knowledge Production Functions? Mapping Innovative Activity Using Microdata,"
IZA Discussion Papers
1878, Institute for the Study of Labor (IZA).
- Andrea Conte & Marco Vivarelli, 2006. "One or Many Knowlede Production Functions? Mapping Innovative Activity Using Microdata," Papers on Entrepreneurship, Growth and Public Policy 2006-03, Max Planck Institute of Economics, Entrepreneurship, Growth and Public Policy Group.
- Marco Caliendo & Sabine Kopeinig, 2005.
"Some Practical Guidance for the Implementation of Propensity Score Matching,"
Discussion Papers of DIW Berlin
485, DIW Berlin, German Institute for Economic Research.
- Marco Caliendo & Sabine Kopeinig, 2008. "Some Practical Guidance For The Implementation Of Propensity Score Matching," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 31-72, 02.
- Caliendo, Marco & Kopeinig, Sabine, 2005. "Some Practical Guidance for the Implementation of Propensity Score Matching," IZA Discussion Papers 1588, Institute for the Study of Labor (IZA).
- José García-Quevedo, 2004. "Do Public Subsidies Complement Business R&D? A Meta-Analysis of the Econometric Evidence," Kyklos, Wiley Blackwell, vol. 57(1), pages 87-102, 02.
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