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Assessing the Impact of Public Support on Innovative Productivity

  • Alessandra Catozzella

    ()

    (DISCE, Università Cattolica del Sacro Cuore)

  • Marco Vivarelli

    ()

    (DISCE, Università Cattolica del Sacro Cuore)

Previous policy evaluation literature mainly aimed at estimating the additional effect of public support on either firms’ innovative inputs or innovative outputs. This paper is an attempt to move one step further, combining the two (input and output) dimensions of innovation into a unique efficiency perspective. To this aim, the impact of public support on the ratio between innovative sales and innovative expenditures (innovative productivity) is estimated using a sample of firm-level data drawn from the third Italian Community Innovation Survey (CIS). A bivariate endogenous switching model has been developed in order to free the analysis of any ex ante sources of sample selection and firm heterogeneity, at the same time getting rid of the two sources of endogeneity potentially affecting the results, i.e. the possible simultaneity between subsidy allocation and the qualitative composition of the innovative output, as well as the endogeneity of public support with respect to innovative performance. Results show that innovative productivity is negatively affected by the public support ; far from ‘doing better’ as a result of government intervention, supported firms appear to exhaust their advantage through merely increasing their innovative expenditures.

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Paper provided by Università Cattolica del Sacro Cuore, Dipartimenti e Istituti di Scienze Economiche (DISCE) in its series DISCE - Quaderni del Dipartimento di Scienze Economiche e Sociali with number dises1177.

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Date of creation: Nov 2011
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Handle: RePEc:ctc:serie2:dises1177
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  1. 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).
  2. Richard Blundell & Monica Costa Dias, 2000. "Evaluation methods for non-experimental data," Fiscal Studies, Institute for Fiscal Studies, vol. 21(4), pages 427-468, January.
  3. Charles Bérubé & Pierre Mohnen, 2007. "Are Firms That Received R&D Subsidies More Innovative?," CIRANO Working Papers 2007s-13, CIRANO.
  4. Garcia, Abraham & Mohnen, Pierre, 2010. "Impact of government support on R&D and innovation," MERIT Working Papers 034, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
  5. Bronwyn H. Hall, 2002. "The Financing of Research and Development," NBER Working Papers 8773, National Bureau of Economic Research, Inc.
  6. Andrea Conte, 2009. "Mapping innovative activity using microdata," Applied Economics Letters, Taylor & Francis Journals, vol. 16(18), pages 1795-1799.
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  8. Isabel Busom, 2000. "An Empirical Evaluation of The Effects of R&D Subsidies," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 9(2), pages 111-148.
  9. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
  10. Czarnitzki, Dirk, 2002. "Research and development: financial constraints and the role of public funding for small and medium-sized enterprises," ZEW Discussion Papers 02-74, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  11. C. Piga & M. Vivarelli, 2003. "Sample selection in estimating the determinants of cooperative R&D," Applied Economics Letters, Taylor & Francis Journals, vol. 10(4), pages 243-246.
  12. Pavitt, Keith, 1984. "Sectoral patterns of technical change: Towards a taxonomy and a theory," Research Policy, Elsevier, vol. 13(6), pages 343-373, December.
  13. Leland, Hayne E & Pyle, David H, 1977. "Informational Asymmetries, Financial Structure, and Financial Intermediation," Journal of Finance, American Finance Association, vol. 32(2), pages 371-87, May.
  14. Branstetter, Lee & Sakakibara, Mariko, 1998. "Japanese Research Consortia: A Microeconometric Analysis of Industrial Policy," Journal of Industrial Economics, Wiley Blackwell, vol. 46(2), pages 207-33, June.
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