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Evaluation of public R&D policies: A cross-country comparison

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  • CZARNITZKI Dirk
  • LOPES BENTO Cindy

Abstract

This study focuses on the effect of public funding on internal R&D investment and on total innovation intensity on a cross-country comparative level. Using harmonised micro data from five different countries, this study analyzes the heterogeneity of the use of policy instruments. Applying a nonparametric matching method to identify the treatment effect, we find that on average firms would have invested significantly less if they would not have received subsidies. On similar grounds, our estimation also takes into account the 'treatment effects on the untreated'. This estimation enables us to assess whether or not governments could further foster R&D activities by extending innovation policies to currently not supported firms. With the exception of one country, all the governments of the sample would benefit from an extension of their subsidy policies. Finally, these two matching results can be combined in order to test for misallocation of public funds. Our analysis does not uncover any systematic misallocation of public funding for the countries under review. --

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Bibliographic Info

Paper provided by CEPS/INSTEAD in its series CEPS/INSTEAD Working Paper Series with number 2010-31.

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Length: 36 pages
Date of creation: Oct 2010
Date of revision:
Handle: RePEc:irs:cepswp:2010-31

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Related research

Keywords: Innovation; Policy evaluation; Treatment effects; Cross-country comparison;

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  1. Xulia González & Jordi Jaumandreu & Consuelo Pazó, 2001. "Barriers to innovation and subsidy e¤ectiveness," Working Papers 0112, Universidade de Vigo, Departamento de Economía Aplicada.
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Cited by:
  1. Czarnitzki, Dirk & Lopes Bento, Cindy, 2011. "Innovation subsidies: Does the funding source matter for innovation intensity and performance? Empirical evidence from Germany," ZEW Discussion Papers 11-053, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  2. BIA Michela & FLORES Carlos A. & MATTEI Alessandra, 2011. "Nonparametric Estimators of Dose-Response Functions," CEPS/INSTEAD Working Paper Series 2011-40, CEPS/INSTEAD.

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