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Effectiveness and Efficiency of SME Innovation Policy

This paper assesses UK innovation policy impact on a large, population weighted, sample of both service and manufacturing SMEs. By focussing on self-reported innovation the study achieves a wider coverage of the effects of SME innovation policy than possible with more traditional indicators. Propensity score matching indicates that SMEs receiving UK state support for innovation were more likely to innovate than unsupported comparable enterprises. Innovating enterprises are shown to have grown significantly faster over the years 2002-4 when other growth influences are appropriately controlled. Combining these two results and comparing the outlays on SME innovation policy with the estimated effects suggests that policy was efficient as well as effective. There is evidence that SME tax credits were expensive compared with earlier support instruments. But the overall high returns estimated suggest that, even in times of public spending cuts, persisting with SME innovation policy would be prudent.

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Paper provided by Cardiff University, Cardiff Business School, Economics Section in its series Cardiff Economics Working Papers with number E2012/4.

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Length: 44 pages
Date of creation: Jan 2012
Date of revision:
Publication status: Forthcoming in Small Business Economics
Handle: RePEc:cdf:wpaper:2012/4
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Web page: http://business.cardiff.ac.uk/research/academic-sections/economics/working-papers

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  1. Pakes, Ariel & Ericson, Richard, 1998. "Empirical Implications of Alternative Models of Firm Dynamics," Journal of Economic Theory, Elsevier, vol. 79(1), pages 1-45, March.
  2. Monjon, Stéphanie & Waelbroeck, Patrick, 2003. "Assessing spillovers from universities to firms: evidence from French firm-level data," Economics Papers from University Paris Dauphine 123456789/13785, Paris Dauphine University.
  3. Monjon, Stephanie & Waelbroeck, Patrick, 2003. "Assessing spillovers from universities to firms: evidence from French firm-level data," International Journal of Industrial Organization, Elsevier, vol. 21(9), pages 1255-1270, November.
  4. Douglas Staiger & James H. Stock, 1997. "Instrumental Variables Regression with Weak Instruments," Econometrica, Econometric Society, vol. 65(3), pages 557-586, May.
  5. 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.
  6. Christian Rammer & Dirk Czarnitzki & Alfred Spielkamp, 2009. "Innovation success of non-R&D-performers: substituting technology by management in SMEs," Small Business Economics, Springer, vol. 33(1), pages 35-58, June.
  7. 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.
  8. repec:fth:inseep:9833 is not listed on IDEAS
  9. Heckman, James & Navarro-Lozano, Salvador, 2003. "Using matching, instrumental variables and control functions to estimate economic choice models," Working Paper Series 2003:4, IFAU - Institute for Evaluation of Labour Market and Education Policy.
  10. Roper, Stephen & Du, Jun & Love, James H., 2008. "Modelling the innovation value chain," Research Policy, Elsevier, vol. 37(6-7), pages 961-977, July.
  11. Bronwyn H. Hall & Francesca Lotti & Jacques Mairesse, 2008. "Innovation and Productivity in SMEs: Empirical Evidence for Italy," NBER Working Papers 14594, National Bureau of Economic Research, Inc.
  12. Bruno Crepon & Emmanuel Duguet & Jacques Mairesse, 1998. "Research, Innovation And Productivity: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
  13. Bronwyn H. Hall, 2010. "The Financing of Innovative Firms," Review of Economics and Institutions, Università di Perugia, vol. 1(1).
  14. Gourieroux, Christian & Monfort, Alain & Renault, Eric & Trognon, Alain, 1987. "Generalised residuals," Journal of Econometrics, Elsevier, vol. 34(1-2), pages 5-32.
  15. Rufin Baghana & Pierre Mohnen, 2009. "Effectiveness of R&D Tax Incentives in Small and Large Enterprises in Québec," CIRANO Working Papers 2009s-01, CIRANO.
  16. Robert Wieser, 2005. "Research And Development Productivity And Spillovers: Empirical Evidence At The Firm Level," Journal of Economic Surveys, Wiley Blackwell, vol. 19(4), pages 587-621, 09.
  17. Tether, B. S. & Smith, I. J. & Thwaites, A. T., 1997. "Smaller enterprises and innovation in the UK: the SPRU innovations database revisited," Research Policy, Elsevier, vol. 26(1), pages 19-32, March.
  18. 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.
  19. Florence Jaumotte & Nigel Pain, 2005. "Innovation in the Business Sector," OECD Economics Department Working Papers 459, OECD Publishing.
  20. Griliches, Zvi, 1990. "Patent Statistics as Economic Indicators: A Survey," Journal of Economic Literature, American Economic Association, vol. 28(4), pages 1661-1707, December.
  21. Inha Oh & Jeong-Dong Lee & Almas Heshmati & Gyoung-Gyu Choi, 2009. "Evaluation of credit guarantee policy using propensity score matching," Small Business Economics, Springer, vol. 33(3), pages 335-351, October.
  22. George Van Leeuwen & Luuk Klomp, 2006. "On the contribution of innovation to multi-factor productivity growth," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(4-5), pages 367-390.
  23. Rachel Griffith & Elena Huergo & Jacques Mairesse & Bettina Peters, 2006. "Innovation and Productivity Across Four European Countries," Oxford Review of Economic Policy, Oxford University Press, vol. 22(4), pages 483-498, Winter.
  24. Colin Wren, 2002. "Evaluating the effect of soft business support upon small firm performance," Oxford Economic Papers, Oxford University Press, vol. 54(2), pages 334-365, April.
  25. repec:fth:harver:1473 is not listed on IDEAS
  26. Edwin Leuven & Barbara Sianesi, 2003. "PSMATCH2: Stata module to perform full Mahalanobis and propensity score matching, common support graphing, and covariate imbalance testing," Statistical Software Components S432001, Boston College Department of Economics, revised 19 Jan 2015.
  27. Bruno Cassiman & Reinhilde Veugelers, 2002. "R&D Cooperation and Spillovers: Some Empirical Evidence from Belgium," American Economic Review, American Economic Association, vol. 92(4), pages 1169-1184, September.
  28. Acs, Zoltan J & Audretsch, David B, 1988. "Innovation in Large and Small Firms: An Empirical Analysis," American Economic Review, American Economic Association, vol. 78(4), pages 678-90, September.
  29. Lotti, Francesca & Santarelli, Enrico & Vivarelli, Marco, 2007. "Defending Gibrat’s Law as a Long-Run Regularity," IZA Discussion Papers 2744, Institute for the Study of Labor (IZA).
  30. John Sutton, 1997. "Gibrat's Legacy," Journal of Economic Literature, American Economic Association, vol. 35(1), pages 40-59, March.
  31. Skuras, Dimitris & Tsegenidi, Kyriaki & Tsekouras, Kostas, 2008. "Product innovation and the decision to invest in fixed capital assets: Evidence from an SME survey in six European Union member states," Research Policy, Elsevier, vol. 37(10), pages 1778-1789, December.
  32. Crepon, B. & Duguet, E. & Mairesse, J., 1998. "Research Investment, Innovation and Productivity: An Econometric Analysis at the Firm Level," Papiers d'Economie Mathématique et Applications 98.15, Université Panthéon-Sorbonne (Paris 1).
  33. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119, March.
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