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

Author

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  • Stéphanie Monjon
  • Patrick Waelbroeck

Abstract

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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    Citations

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    Cited by:

    1. Julie Hermans & Annick Castiaux & Marcus Dejardin & Stéphane Lucas, 2012. "Configuration in the flesh: challenges in publicly promoted clusters," The Journal of Technology Transfer, Springer, vol. 37(5), pages 609-630, October.
    2. 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.
    3. 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

    Keywords

    Innovation; information sources; community innovations surveys; sequential probit model; sélection bias;
    All these keywords.

    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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