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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.

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Bibliographic Info

Article provided by Taylor & Francis Journals in its journal Economics of Innovation and New Technology.

Volume (Year): 14 (2005)
Issue (Month): 5 ()
Pages: 375-393

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Handle: RePEc:taf:ecinnt:v:14:y:2005:i:5:p:375-393

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Related research

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

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References

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  1. 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.
  2. 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.
  3. 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.
  4. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2001. "Market Value and Patent Citations: A First Look," Development and Comp Systems 0012002, EconWPA.
  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. DUGUET Emmanuel, 2004. "Innovation height, spillovers and TFP growth at the firm level: Evidence from French manufacturing," Development and Comp Systems 0411017, EconWPA.
  7. Gourieroux Christian & Monfort Alain & Trognon A, 1982. "Pseudo maximum lilelihood methods : applications to poisson models," CEPREMAP Working Papers (Couverture Orange) 8203, CEPREMAP.
  8. Hall, B. & Jaffe, A. & Trajtenberg, M., 2001. "The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools," Papers 2001-29, Tel Aviv.
  9. 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.
  10. 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.
  11. Megan MacGarvie, 2006. "Do Firms Learn from International Trade?," The Review of Economics and Statistics, MIT Press, vol. 88(1), pages 46-60, February.
  12. Dietmar Harhoff & Francis Narin & Frederic M. Scherer & Katrin Vopel, 1997. "Citation Frequency and the Value of Patented Innovation," CIG Working Papers FS IV 97-26, Wissenschaftszentrum Berlin (WZB), Research Unit: Competition and Innovation (CIG).
  13. Adam B. Jaffe & Manuel Trajtenberg, 1998. "International Knowledge Flows: Evidence from Patent Citations," NBER Working Papers 6507, National Bureau of Economic Research, Inc.
  14. 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.
  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. Ajay Agrawal & Rebecca Henderson, 2002. "Putting Patents in Context: Exploring Knowledge Transfer from MIT," Management Science, INFORMS, vol. 48(1), pages 44-60, January.
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