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How Well Do Patent Citations Measure Flows of Technology? Evidence from French Innovation Surveys

  • DUGUET Emmanuel

    (EPEE - University of Evry)

  • MacGARVIE Megan

    (University of Boston)

Patent citation data are used in a growing body of economics and business research on technological diffusion. Research in this area uses “backward” citations to measure technological knowledge acquired by the patenting entities studied. “Forward” citations (citations to the firm’s patents made by other patents) have been interpreted as a measure of the knowledge diffusing outward from the patenting entity. Until now, there exists little evidence on whether or not 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 (CIS) 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.

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File URL: http://econwpa.repec.org/eps/dev/papers/0411/0411018.pdf
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Paper provided by EconWPA in its series Development and Comp Systems with number 0411018.

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Length: 30 pages
Date of creation: 16 Nov 2004
Date of revision:
Handle: RePEc:wpa:wuwpdc:0411018
Note: Type of Document - pdf; pages: 30
Contact details of provider: Web page: http://econwpa.repec.org

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  1. 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.
  2. Jaffe, A.B. & Trajtenberg, M., 1998. "International Knowledge Flows: Evidence from Patent Citation," Papers 11-98, Tel Aviv.
  3. Crepon, B. & Duguet, E., 1995. "Research and Development, Competition and Innovation; Pseudo Maximum Likelihood and Simulated Maximum Likelihood Methods Applied to Count Data Models with Heterogeneity," Papiers d'Economie Mathématique et Applications 95.08, Université Panthéon-Sorbonne (Paris 1).
  4. Jaffe, Adam B & Trajtenberg, Manuel & Henderson, Rebecca, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, MIT Press, vol. 108(3), pages 577-98, August.
  5. 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.
  6. Gourieroux Christian & Monfort Alain & Trognon A, 1982. "Pseudo maximum lilelihood methods : applications to poisson models," CEPREMAP Working Papers (Couverture Orange) 8203, CEPREMAP.
  7. Marco, Alan C. & Rausser, Gordon C, 2002. "Complementarities and spill-overs in mergers: an empirical investigation using patent data," CUDARE Working Paper Series 930R, University of California at Berkeley, Department of Agricultural and Resource Economics and Policy.
  8. Emmanuel DUGUET & Isabelle KABLA, 1998. "Appropriation Strategy and the Motivations to Use the Patent System: An Econometric Analysis at the Firm Level in French Manufacturing," Annales d'Economie et de Statistique, ENSAE, issue 49-50, pages 289-327.
  9. Bronwyn H. Hall and Adam Jaffe, and Manuel Trajtenberg., 2001. "Market Value and Patent Citations: A First Look," Economics Working Papers E01-304, University of California at Berkeley.
  10. 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.
  11. Jean O. Lanjouw & Mark Schankerman, 1999. "The Quality of Ideas: Measuring Innovation with Multiple Indicators," NBER Working Papers 7345, National Bureau of Economic Research, Inc.
  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.
  13. Ajay Agrawal & Rebecca Henderson, 2002. "Putting Patents in Context: Exploring Knowledge Transfer from MIT," Management Science, INFORMS, vol. 48(1), pages 44-60, January.
  14. Hall, Bronwyn H & Jaffe, Adam B & Trajtenberg, Manuel, 2001. "The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools," CEPR Discussion Papers 3094, C.E.P.R. Discussion Papers.
  15. 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).
  16. 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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