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Assessing the Returns to Collaborative Research: Firm-Level Evidence from Italy

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  • Giuseppe Medda

    ()
    (University of Cagliari, Italy)

  • Claudio Piga

    ()
    (Business School, University of Nottingham, UK)

  • Donald S. Siegel

    ()
    (Department of Economics, Rensselaer Polytechnic Institute, Troy, NY 12180-3590, USA)

Abstract

We use firm-level data from Italian manufacturing firms to assess the relationship between various types of R&D and total factor productivity growth, including collaborative research with other firms and universities. A novel twist to our empirical analysis is that we estimate a treatment effects model, which enables us to treat the decision to conduct R&D as endogenous. We find strong evidence of positive returns to collaborative research with companies, while collaborative research with universities does not appear to enhance productivity. This result implies that firms may conduct R&D with universities when appropriability conditions are weak and the outcomes of such research projects do not yield direct strategic benefits.

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Bibliographic Info

Paper provided by Rensselaer Polytechnic Institute, Department of Economics in its series Rensselaer Working Papers in Economics with number 0416.

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Date of creation: Jun 2004
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Handle: RePEc:rpi:rpiwpe:0416

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References

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  1. Paul, Catherine J Morrison & Siegel, Donald S, 2001. " The Impacts of Technology, Trade and Outsourcing on Employment and Labor Composition," Scandinavian Journal of Economics, Wiley Blackwell, vol. 103(2), pages 241-64, June.
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  8. Cohen, Wesley M & Levinthal, Daniel A, 1989. "Innovation and Learning: The Two Faces of R&D," Economic Journal, Royal Economic Society, vol. 99(397), pages 569-96, September.
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  14. 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.
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  16. Donald Siegel, 1997. "The Impact Of Computers On Manufacturing Productivity Growth: A Multiple-Indicators, Multiple-Causes Approach," The Review of Economics and Statistics, MIT Press, vol. 79(1), pages 68-78, February.
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  27. Claudio A. Piga & Marco Vivarelli, 2003. "Internal and External R&D: A Sample Selection Approach," Papers on Entrepreneurship, Growth and Public Policy 2004-05, Max Planck Institute of Economics, Entrepreneurship, Growth and Public Policy Group.
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Citations

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Cited by:
  1. Almas Heshmati & Hyesung Kim, 2011. "The R&D and productivity relationship of Korean listed firms," Journal of Productivity Analysis, Springer, vol. 36(2), pages 125-142, October.
  2. Claudio A. Piga & Giuseppe Medda, 2007. "Technological Spillovers and Productivity in Italian Manufacturing Firms," Discussion Paper Series 2007_17, Department of Economics, Loughborough University, revised Jul 2007.
  3. Hans Lööf & Anders Broström, 2008. "Does knowledge diffusion between university and industry increase innovativeness?," The Journal of Technology Transfer, Springer, vol. 33(1), pages 73-90, February.
  4. Kirkels, Yvonne & Duysters, Geert, 2010. "Brokerage in SME networks," Research Policy, Elsevier, vol. 39(3), pages 375-385, April.
  5. Sumit Majumdar, 2011. "Scalability versus flexibility: firm size and R&D in Indian industry," The Journal of Technology Transfer, Springer, vol. 36(1), pages 101-116, February.
  6. Paola Cardamone & Valeria Pupo & Fernanda Ricotta, 2012. "University And Firm Performance In The Italian Manufacturing Sector," Working Papers 201207, Università della Calabria, Dipartimento di Economia, Statistica e Finanza (Ex Dipartimento di Economia e Statistica).
  7. Shishir Saxena, 2007. "Technology And Spillovers: Evidence From Indian Manufacturing Micro-Data," Development Research Unit Working Paper Series 27-07, Monash University, Department of Economics.

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