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The Effects of Fiscal Incentives for R & D in Spain

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  • Beatriz Corchuelo

    ()

  • Ester Martinez-Ros

    ()

Abstract

This paper explores the effect of fiscal incentives for R&D on innovation. Spain is considered one of the most generous countries in the OECD in fiscal treatment of R&D, yet our data reveal that tax incentives are little known and, especially, seldom used by firms. Restricting our empirical analysis to those firms that do report knowing about such incentives, we investigate the average effect of tax incentives on innovation, using both nonparametric methods (matching estimators) and parametric methods (Heckman’s two-step selection model with instrumental variables). First, we find that large firms, especially those that implement innovations, are more likely to use the tax incentives, while small and medium enterprises (SMEs) encounter some obstacles to using them. Secondly, the average effect of the policy is positive, but significant only in large firms. Our main conclusion is that tax incentives increase innovative activities by large and high-tech sector firms, but may be used only randomly by SMEs

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Bibliographic Info

Paper provided by Universidad Carlos III, Departamento de Economía de la Empresa in its series Business Economics Working Papers with number wb092302.

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Date of creation: Mar 2009
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Handle: RePEc:cte:wbrepe:wb092302

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Keywords: R&D fiscal incentives; Matching methods;

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References

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  1. Bronwyn H. Hall, 2002. "The Financing of Research and Development," NBER Working Papers 8773, National Bureau of Economic Research, Inc.
  2. Sascha O. Becker & Andrea Ichino, 2002. "Estimation of average treatment effects based on propensity scores," Stata Journal, StataCorp LP, vol. 2(4), pages 358-377, November.
  3. Michael Lechner, 2005. "Some practical issues in the evaluation of heterogeneous labour market programmes by matching methods," Labor and Demography 0505006, EconWPA.
  4. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626 National Bureau of Economic Research, Inc.
  5. James Heckman & Hidehiko Ichimura & Jeffrey Smith & Petra Todd, 1998. "Characterizing Selection Bias Using Experimental Data," Econometrica, Econometric Society, vol. 66(5), pages 1017-1098, September.
  6. Alberto Abadie & Guido W. Imbens, 2006. "Large Sample Properties of Matching Estimators for Average Treatment Effects," Econometrica, Econometric Society, vol. 74(1), pages 235-267, 01.
  7. Alberto Abadie & Guido W. Imbens, 2006. "On the Failure of the Bootstrap for Matching Estimators," NBER Technical Working Papers 0325, National Bureau of Economic Research, Inc.
  8. Czarnitzki, Dirk & Fier, Andreas, 2002. "Do Innovation Subsidies Crowd Out Private Investment? Evidence from the German Service Sector," ZEW Discussion Papers 02-04, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  9. Corinne BARLET & Emmanuel DUGUET & David ENCAOUA & Jacqueline PRADEL, 1998. "The Commercial Success of Innovations: an Econometric Analysis at the Firm Lebel in French Manufacturing," Annales d'Economie et de Statistique, ENSAE, issue 49-50, pages 457-478.
  10. DUGUET Emmanuel, 2004. "Are R&D subsidies a substitute or a complement to privately funded R&D? Evidence from France using propensity score methods for non- experimental data," Public Economics 0411007, EconWPA.
  11. Blanes, J. Vicente & Busom, Isabel, 2004. "Who participates in R&D subsidy programs?: The case of Spanish manufacturing firms," Research Policy, Elsevier, vol. 33(10), pages 1459-1476, December.
  12. Czarnitzki, Dirk & Hanel, Petr & Rosa, Julio Miguel, 2004. "Evaluating the Impact of R&D Tax Credits on Innovation: A Microeconometric Study on Canadian Firms," ZEW Discussion Papers 04-77, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  13. Heckman, James J & Ichimura, Hidehiko & Todd, Petra E, 1997. "Matching as an Econometric Evaluation Estimator: Evidence from Evaluating a Job Training Programme," Review of Economic Studies, Wiley Blackwell, vol. 64(4), pages 605-54, October.
  14. Nick Bloom & Rachel Griffith & John Van Reenen, 1999. "Do R&D tax credits work? Evidence from an international panel of countries 1979-1994," IFS Working Papers W99/08, Institute for Fiscal Studies.
  15. V. Joseph Hotz & Guido W. Imbens & Jacob A. Klerman, 2006. "Evaluating the Differential Effects of Alternative Welfare-to-Work Training Components: A Reanalysis of the California GAIN Program," Journal of Labor Economics, University of Chicago Press, vol. 24(3), pages 521-566, July.
  16. Barbara Sianesi, 2001. "Propensity score matching," United Kingdom Stata Users' Group Meetings 2001 12, Stata Users Group, revised 23 Aug 2001.
  17. Beatriz Corchuelo & Ester Martínez Ros, 2008. "Aplicación de los incentivos fiscales a la inversión en I+D en las empresas españolas," Documentos de Trabajo de Economía de la Empresa db080101, Universidad Carlos III, Departamento de Economía de la Empresa.
  18. 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.
  19. Richard R. Nelson, 1959. "The Simple Economics of Basic Scientific Research," Journal of Political Economy, University of Chicago Press, vol. 67, pages 297.
  20. Alberto Abadie & David Drukker & Jane Leber Herr & Guido W. Imbens, 2004. "Implementing matching estimators for average treatment effects in Stata," Stata Journal, StataCorp LP, vol. 4(3), pages 290-311, September.
  21. Maria Parisi & Alessandro Sembenelli, 2003. "Is Private R & D Spending Sensitive to Its Price? Empirical Evidence on Panel Data for Italy," Empirica, Springer, vol. 30(4), pages 357-377, December.
  22. Aerts, Kris & Czarnitzki, Dirk, 2004. "Using Innovation Survey Data to Evaluate R&D Policy: The Case of Belgium," ZEW Discussion Papers 04-55, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
  23. Petr Hanel, 2003. "Impact Of Government Support Programs On Innovation By Canadian Manufacturing Firms," Cahiers de recherche 04-02, Departement d'Economique de la Faculte d'administration à l'Universite de Sherbrooke.
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Cited by:
  1. Boris Lokshin & Pierre Mohnen, 2012. "How effective are level-based R&D tax credits? Evidence from the Netherlands," Applied Economics, Taylor & Francis Journals, vol. 44(12), pages 1527-1538, April.
  2. Michel Dumont, 2013. "Working Paper 01-13 - The impact of subsidies and fiscal incentives on corporate R&D expenditures in Belgium (2001-2009)," Working Papers 1301, Federal Planning Bureau, Belgium.
  3. Rufin Baghana & Pierre Mohnen, 2009. "Effectiveness of R&D tax incentives in small and large enterprises in Québec," Small Business Economics, Springer, vol. 33(1), pages 91-107, June.
  4. Mónica Benito & Rosario Romera, 2013. "How to boost the PhD labour market? : facts from the R&D and innovation policies side," Statistics and Econometrics Working Papers ws133127, Universidad Carlos III, Departamento de Estadística y Econometría.

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