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Innovation, profitability and growth in medium and high-tech manufacturing industries: Evidence from Italy

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Author Info

  • Claudio Cozza

    ()
    (European Commission, Joint Research Centre (JRC), Institute for Prospective Technological Studies (IPTS))

  • Franco Malerba

    ()
    (Department of Economics, Bocconi University, Milan, Italy and KiTES Bocconi University, Milan, Italy)

  • Maria Luisa Mancusi

    ()
    (Department of Economics, Bocconi University, Milan, Italy and KiTES Bocconi University, Milan, Italy)

  • Giulio Perani

    (ISTAT - SSI/D (Italian National Institute of Statistics), Rome, Italy)

  • Andrea Vezzulli

    ()
    (Department of Management, University of Bologna, Bologna, Italy and KiTES Bocconi University, Milan, Italy)

Abstract

The main goal of this paper is to assess the impact of product innovation on the economic performance of firms operating in medium and high-tech industries in general and of SMEs in particular. Using information from a large and unique dataset on Italian firms we estimate, by means of propensity scores matching methods, a positive and significant “innovation premium” both in terms of profitability and growth (in the short run) for those firms who introduced new innovative products. We also find that this innovation premium is particularly large for small firms and even more so when considering new established firms.

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File URL: ftp://ftp.unibocconi.it/pub/RePEc/cri/papers/KitesWP28.pdf
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Bibliographic Info

Paper provided by KITeS, Centre for Knowledge, Internationalization and Technology Studies, Universita' Bocconi, Milano, Italy in its series KITeS Working Papers with number 028.

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Length: 27 pages
Date of creation: 2009
Date of revision: 2009
Handle: RePEc:cri:cespri:kites28_wp

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Postal: via Sarfatti, 25 - 20136 Milano - Italy
Phone: +39.025836.3397
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Web page: http://www.kites.unibocconi.it/

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Related research

Keywords: innovation; profitability; growth; propensity score estimation;

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References

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  1. Stefano Iacus & Giuseppe Porro, 2006. "Random recursive partitioning: a matching method for the estimation of the average treatment effect," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1018, Universitá degli Studi di Milano.
  2. Dehejia, R.H. & Wahba, S., 1998. "Propensity Score Matching Methods for Non-Experimental Causal Studies," Discussion Papers 1998_02, Columbia University, Department of Economics.
  3. 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.
  4. Van Reenen, John, 1997. "Employment and Technological Innovation: Evidence from U.K. Manufacturing Firms," Journal of Labor Economics, University of Chicago Press, vol. 15(2), pages 255-84, April.
  5. Aghion, P. & Howitt, P., 1990. "A Model Of Growth Through Creative Destruction," DELTA Working Papers 90-12, DELTA (Ecole normale supérieure).
  6. Bernard, Andrew B. & Bradford Jensen, J., 1999. "Exceptional exporter performance: cause, effect, or both?," Journal of International Economics, Elsevier, vol. 47(1), pages 1-25, February.
  7. Audretsch, David B., 1995. "Innovation, growth and survival," International Journal of Industrial Organization, Elsevier, vol. 13(4), pages 441-457, December.
  8. Bruno Crepon & Emmanuel Duguet & Jacques Mairessec, 1998. "Research, Innovation And Productivi[Ty: An Econometric Analysis At The Firm Level," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 7(2), pages 115-158.
  9. Aghion, Philippe & Howitt, Peter, 1992. "A Model of Growth Through Creative Destruction," Scholarly Articles 12490578, Harvard University Department of Economics.
  10. Stefano Iacus & Gary King & Giuseppe Porro, 2008. "Matching for Causal Inference Without Balance Checking," UNIMI - Research Papers in Economics, Business, and Statistics unimi-1073, Universitá degli Studi di Milano.
  11. Klepper, Steven, 1996. "Entry, Exit, Growth, and Innovation over the Product Life Cycle," American Economic Review, American Economic Association, vol. 86(3), pages 562-83, June.
  12. Roberto Alvarez & Raymond Robertson, 2004. "Exposure to foreign markets and plant-level innovation: evidence from Chile and Mexico," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 13(1), pages 57-87.
  13. 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.
  14. Geroski, Paul A & Samiei, Hossein & Van Reenen, John, 1996. "How Persistently do Firms Innovate?," CEPR Discussion Papers 1433, C.E.P.R. Discussion Papers.
  15. Steven Klepper, 2002. "Firm Survival and the Evolution of Oligopoly," RAND Journal of Economics, The RAND Corporation, vol. 33(1), pages 37-61, Spring.
  16. Elena Cefis & Matteo Ciccarelli, 2005. "Profit differentials and innovation," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(1-2), pages 43-61.
  17. Cefis, Elena & Marsili, Orietta, 2006. "Survivor: The role of innovation in firms' survival," Research Policy, Elsevier, vol. 35(5), pages 626-641, June.
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Cited by:
  1. Giuseppe Medda & Claudio Piga, 2014. "Technological spillovers and productivity in Italian manufacturing firms," Journal of Productivity Analysis, Springer, vol. 41(3), pages 419-434, June.

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