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The Value of Knowledge Flows: Evidence from Patent Citations Data

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  • Yi Deng

Abstract

This paper aims at quantifying the economic value of knowledge spillovers by exploring information contained in patent citations. I estimate a market valuation equation for semiconductor firms during the 1980s and early 1990s, and find an average value in the amount of $0.6 to 1.2 million "R&D-equivalent" dollars for the knowledge flows as embodied in one patent citation. For an average semiconductor firm, such an estimate implies that the total value of knowledge spillovers the firm received during the sample period could be as high as half of its actual total R&D expenditures in the same period. This provides a direct measure of the economic value of the social returns or externalities of relevant technological innovations. I also find that self citations are more valuable than external citations, indicating a significant amount of tacit knowledge or know-how spillovers that occur within the firm

Suggested Citation

  • Yi Deng, 2005. "The Value of Knowledge Flows: Evidence from Patent Citations Data," Computing in Economics and Finance 2005 374, Society for Computational Economics.
    • Handle: RePEc:sce:scecf5:374
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    1. Gene M. Grossman & Elhanan Helpman, 1991. "Quality Ladders and Product Cycles," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(2), pages 557-586.
    2. Bronwyn H. Hall & Adam B. Jaffe & Manuel Trajtenberg, 2001. "The NBER Patent Citation Data File: Lessons, Insights and Methodological Tools," NBER Working Papers 8498, National Bureau of Economic Research, Inc.
    3. Zvi Griliches, 1998. "Patent Statistics as Economic Indicators: A Survey," NBER Chapters, in: R&D and Productivity: The Econometric Evidence, pages 287-343, National Bureau of Economic Research, Inc.
    4. Manuel Trajtenberg, 1990. "A Penny for Your Quotes: Patent Citations and the Value of Innovations," RAND Journal of Economics, The RAND Corporation, vol. 21(1), pages 172-187, Spring.
    5. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    6. Bronwyn H. Hall & Adam Jaffe & Manuel Trajtenberg, 2005. "Market Value and Patent Citations," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 16-38, Spring.
    7. Zvi Griliches, 1984. "Market Value, R&D, and Patents," NBER Chapters, in: R&D, Patents, and Productivity, pages 249-252, National Bureau of Economic Research, Inc.
    8. Adam B. Jaffe & Manuel Trajtenberg & Rebecca Henderson, 1993. "Geographic Localization of Knowledge Spillovers as Evidenced by Patent Citations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(3), pages 577-598.
    9. Adam B. Jaffe & Manuel Trajtenberg, 2005. "Patents, Citations, and Innovations: A Window on the Knowledge Economy," MIT Press Books, The MIT Press, edition 1, volume 1, number 026260065x, April.
    10. repec:fth:harver:1473 is not listed on IDEAS
    11. Dietmar Harhoff & Francis Narin & F. M. Scherer & Katrin Vopel, 1999. "Citation Frequency And The Value Of Patented Inventions," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 511-515, August.
    12. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    13. 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.
    14. Adam B. Jaffe & Manuel Trajtenberg, 1996. "Flows of Knowledge from Universities and Federal Labs: Modeling the Flowof Patent Citations Over Time and Across Institutional and Geographic Boundari," NBER Working Papers 5712, National Bureau of Economic Research, Inc.
    15. Jaffe, Adam B & Lerner, Josh, 2001. "Reinventing Public R&D: Patent Policy and the Commercialization of National Laboratory Technologies," RAND Journal of Economics, The RAND Corporation, vol. 32(1), pages 167-198, Spring.
    16. Richard C. Levin & Alvin K. Klevorick & Richard R. Nelson & Sidney G. Winter, 1987. "Appropriating the Returns from Industrial Research and Development," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 18(3, Specia), pages 783-832.
    17. Richard C. Levin & Alvin K. Klevorick & Richard R. Nelson & Sidney G. Winter, 1988. "Appropriating the Returns from Industrial R&D," Cowles Foundation Discussion Papers 862, Cowles Foundation for Research in Economics, Yale University.
    18. Suzanne Scotchmer, 1991. "Standing on the Shoulders of Giants: Cumulative Research and the Patent Law," Journal of Economic Perspectives, American Economic Association, vol. 5(1), pages 29-41, Winter.
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    More about this item

    Keywords

    Technological Innovations; Knowledge Spillover; R&D; Patent; Patent Citations; Tobin's Q;
    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
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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