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In search of lost disincentive effect from intra-industry spillovers

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  • Stéphane Lhuillery

    (Chaire en Economie et Management de l'Innovation, Collège du Management de la Technologie, Ecole Polytechnique Fédérale de Lausanne)

Abstract

Standard innovation surveys do not consider incoming spillovers for non-innovative firms. The Swiss innovation surveys presented here measure the importance of competitors' knowledge for both innovating and noninnovating firms. This original feature not only enables us to accurately identify the role of incoming knowledge on R&D decisions and innovation output, but also to compare resulting data with those which standard innovation questionnaires provide. Using a panel data over four periods, we show that knowledge from rivals actually deters manufacturing firms from engaging in R&D activities. Moreover, we provide stronger evidence that intra-industry spillovers are more detrimental to innovation than that generally provided by data from standard surveys. The results suggest that the dominance of the absorptive capacity effect is more important to firms investing in R&D and that non-innovative firms rely more heavily than expected on their competitors to maintain their technological capacities.

Suggested Citation

  • Stéphane Lhuillery, 2009. "In search of lost disincentive effect from intra-industry spillovers," CEMI Working Papers cemi-workingpaper-2009-00, Ecole Polytechnique Fédérale de Lausanne, Collège du Management de la Technologie, Management of Technology and Entrepreneurship Institute, Chaire en Economie et Management de l'Innovation.
  • Handle: RePEc:cmi:wpaper:cemi-workingpaper-2009-005
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    Keywords

    intra-industry spillovers; absorption; innovation survey;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access

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