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How well do patent citations measure flows of technology? Evidence from French innovation surveys

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  • Emmanuel Duguet
  • Megan MacGarvie

Abstract

Patent citation data are used in a growing body of economics and business research on technological diffusion. Until now, there exists little evidence on whether patent citations are a good measure of knowledge flows. Our paper assesses the legitimacy of using European patent citations as a measure of technology flows. It uses information from the Community Innovation Survey collected by the French Service des Statistiques Industrielles (SESSI), which contain firms' responses to questions about their innovative activity. We show that patent citations are indeed related to firms' statements about their acquisition and dispersion of new technology, but that the strength and statistical significance of this relationship varies across geographical regions and across channels of knowledge diffusion.

Suggested Citation

  • Emmanuel Duguet & Megan MacGarvie, 2005. "How well do patent citations measure flows of technology? Evidence from French innovation surveys," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(5), pages 375-393.
  • Handle: RePEc:taf:ecinnt:v:14:y:2005:i:5:p:375-393
    DOI: 10.1080/1043859042000307347
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    References listed on IDEAS

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    1. Crepon, B. & Duguet, E. & Mairesse, J., 1998. "Research Investment, Innovation and Productivity: An Econometric Analysis at the Firm Level," Papiers d'Economie Mathématique et Applications 98.15, Université Panthéon-Sorbonne (Paris 1).
    2. Jaffe, Adam B, 1986. "Technological Opportunity and Spillovers of R&D: Evidence from Firms' Patents, Profits, and Market Value," American Economic Review, American Economic Association, vol. 76(5), pages 984-1001, December.
    3. Crepon, Bruno & Duguet, Emmanuel, 1997. "Research and development, competition and innovation pseudo-maximum likelihood and simulated maximum likelihood methods applied to count data models with heterogeneity," Journal of Econometrics, Elsevier, vol. 79(2), pages 355-378, August.
    4. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, Oxford University Press, vol. 108(3), pages 577-598.
    5. Hall, B. & Jaffe, A. & Trajtenberg, M., 2001. "The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools," Papers 2001-29, Tel Aviv.
    6. Hall, Bronwyn H. & Jaffee, Adam & Trajtenberg, Manuel, 2000. "Market Value and Patent Citations: A First Look," Department of Economics, Working Paper Series qt1rh8k6z2, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    7. Emmanuel Duguet, 2006. "Innovation height, spillovers and tfp growth at the firm level: Evidence from French manufacturing," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 15(4-5), pages 415-442.
    8. Alan Marco & Gordon Rausser, 2011. "Complementarities and spillovers in mergers: an empirical investigation using patent data," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 20(3), pages 207-231.
    9. Vopel, Katrin & Scherer, Frederic M. & Narin, Francis & Harhoff, Dietmar, 1997. "Citation Frequency and the Value of Patented Innovation," ZEW Discussion Papers 97-27, ZEW - Zentrum für Europäische Wirtschaftsforschung / Center for European Economic Research.
    10. Adam B. Jaffe & Manuel Trajtenberg & Michael S. Fogarty, 2000. "The Meaning of Patent Citations: Report on the NBER/Case-Western Reserve Survey of Patentees," NBER Working Papers 7631, National Bureau of Economic Research, Inc.
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    12. Megan MacGarvie, 2006. "Do Firms Learn from International Trade?," The Review of Economics and Statistics, MIT Press, vol. 88(1), pages 46-60, February.
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    More about this item

    Keywords

    Patent; Citation; Community Innovation Survey; Innovation; Spillovers; Count data;

    JEL classification:

    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions

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