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The nature of innovation and the origin of technological spillovers: an econometric analysis on individual French data


  • Stéphanie Monjon
  • Patrick Waelbroeck


The aim of this paper is to show that innovations are the result of complex interactions between different private and public agents. For that, we identify the nature of the information sources that firms use to produce their innovations and assess the impact of these different sources on the results of the innovation process. We develop an econometric sequential model dealing successively with the innovation decision and the nature of innovation and use recent French data coming from the 1997 Community Innovation Survey. The main results are that innovation is not the result of isolated agents and that firms use very differently information sources according to the degree of novelty their innovation.

Suggested Citation

  • Stéphanie Monjon & Patrick Waelbroeck, 2003. "The nature of innovation and the origin of technological spillovers: an econometric analysis on individual French data," Brussels Economic Review, ULB -- Universite Libre de Bruxelles, vol. 46(3), pages 87-106.
  • Handle: RePEc:bxr:bxrceb:y:2003:v:46:i:3:p:87-106

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    References listed on IDEAS

    1. Etzkowitz, Henry & Leydesdorff, Loet, 2000. "The dynamics of innovation: from National Systems and "Mode 2" to a Triple Helix of university-industry-government relations," Research Policy, Elsevier, vol. 29(2), pages 109-123, February.
    2. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters,in: R&D and Productivity: The Econometric Evidence, pages 287-343 National Bureau of Economic Research, Inc.
    3. Sampat, Bhaven N. & Mowery, David C. & Ziedonis, Arvids A., 2003. "Changes in university patent quality after the Bayh-Dole act: a re-examination," International Journal of Industrial Organization, Elsevier, vol. 21(9), pages 1371-1390, November.
    4. Eleftherios Sapsalis & Bruno van Pottelsberghe de la Potterie, 2007. "The Institutional Sources Of Knowledge And The Value Of Academic Patents," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 16(2), pages 139-157.
    5. Etzkowitz, Henry, 1998. "The norms of entrepreneurial science: cognitive effects of the new university-industry linkages," Research Policy, Elsevier, vol. 27(8), pages 823-833, December.
    6. repec:fth:harver:1473 is not listed on IDEAS
    7. Mowery, David C. & Ziedonis, Arvids A., 2002. "Academic patent quality and quantity before and after the Bayh-Dole act in the United States," Research Policy, Elsevier, vol. 31(3), pages 399-418, March.
    8. Scherer, F. M. & Harhoff, Dietmar, 2000. "Technology policy for a world of skew-distributed outcomes," Research Policy, Elsevier, vol. 29(4-5), pages 559-566, April.
    9. Sapsalis, Elefthérios & Pottelsberghe de la Potterie, Bruno van, 2003. "The Sources of Knowledge and the Value of Academic Patents," IIR Working Paper 03-24, Institute of Innovation Research, Hitotsubashi University.
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    Cited by:

    1. Paul H. Jensen & Alfons Palangkaraya & Elizabeth Webster, 2013. "Trust, Incomplete Contracts and the Market for Technology," Melbourne Institute Working Paper Series wp2013n03, Melbourne Institute of Applied Economic and Social Research, The University of Melbourne.
    2. Jensen, Paul H. & Palangkaraya, Alfons & Webster, Elizabeth, 2015. "Trust and the market for technology," Research Policy, Elsevier, vol. 44(2), pages 340-356.

    More about this item


    Innovation; information sources; community innovations surveys; sequential probit model; sélection bias;

    JEL classification:

    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D


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