IDEAS home Printed from https://ideas.repec.org/p/smu/ecowpa/0516.html
   My bibliography  Save this paper

The Value of Knowledge Spillovers in the US Semiconductor Industry

Author

Listed:
  • Deng, Yi

    (Department of Economics, Southern Methodist University)

Abstract

This paper aims at quantifying the economic value of knowledge spillovers by exploring information contained in patent citations. We estimate a market valuation equation for semiconductor firms during the 1980s and 1990s, and find an average value in the amount of $0.6 to 1.2 million "R&D-equivalent" dollars for knowledge spillovers 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 social returns or externalities of relevant technological innovations. We also find that the value of knowledge spillovers declines as the size of firm's patent portfolio increases, and 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

  • Deng, Yi, 2005. "The Value of Knowledge Spillovers in the US Semiconductor Industry," Departmental Working Papers 0516, Southern Methodist University, Department of Economics, revised Nov 2006.
    • Handle: RePEc:smu:ecowpa:0516
    as

    Download full text from publisher

    File URL: https://ftp1.economics.smu.edu/WorkingPapers/2005/Deng/scpatcit_nov06.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. 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.
    4. 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.
    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. Griliches, Zvi & Hausman, Jerry A., 1986. "Errors in variables in panel data," Journal of Econometrics, Elsevier, vol. 31(1), pages 93-118, February.
    7. 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.
    8. 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.
    9. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li Yue, 2022. "Impact of Tacit Knowledge Acquisition on Innovation Performance of Innovative Enterprises in Guangdong Hong Kong Macao Greater Bay Area," International Journal of Science and Business, IJSAB International, vol. 14(1), pages 251-272.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yi Deng, 2005. "The Value of Knowledge Flows: Evidence from Patent Citations Data," Computing in Economics and Finance 2005 374, Society for Computational Economics.
    2. Yi Deng, 2005. "The value of knowledge spillovers," Working Paper Series 2005-14, Federal Reserve Bank of San Francisco.
    3. Deng, Yi, 2008. "The value of knowledge spillovers in the U.S. semiconductor industry," International Journal of Industrial Organization, Elsevier, vol. 26(4), pages 1044-1058, July.
    4. Paola Giuri & Myriam Mariani & Stefano Brusoni & Gustavo Crespi & Dominique Francoz & Alfonso Gambardella & Walter Garcia-Fontes & Aldo Geuna & Raul Gonzales & Dietmar Harhoff & Karin Hoisl & Christia, 2005. "Everything you Always Wanted to Know about Inventors (but Never Asked): Evidence from the PatVal-EU Survey," LEM Papers Series 2005/20, Laboratory of Economics and Management (LEM), Sant'Anna School of Advanced Studies, Pisa, Italy.
    5. Giuri, Paola & Mariani, Myriam, 2007. "Inventors and invention processes in Europe: Results from the PatVal-EU survey," Research Policy, Elsevier, vol. 36(8), pages 1105-1106, October.
    6. Per Botolf Maurseth, 2005. "Lovely but dangerous: The impact of patent citations on patent renewal," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(5), pages 351-374.
    7. Gerald A. Carlino & Robert M. Hunt, 2009. "What explains the quantity and quality of local inventive activity?," Working Papers 09-12, Federal Reserve Bank of Philadelphia.
    8. Sarah Kaplan & Keyvan Vakili, 2015. "The double-edged sword of recombination in breakthrough innovation," Strategic Management Journal, Wiley Blackwell, vol. 36(10), pages 1435-1457, October.
    9. Dechezlepretre, Antoine & Martin, Ralf & Mohnen, Myra, 2014. "Knowledge spillovers from clean and dirty technologies," LSE Research Online Documents on Economics 60501, London School of Economics and Political Science, LSE Library.
    10. Albino, Vito & Ardito, Lorenzo & Dangelico, Rosa Maria & Messeni Petruzzelli, Antonio, 2014. "Understanding the development trends of low-carbon energy technologies: A patent analysis," Applied Energy, Elsevier, vol. 135(C), pages 836-854.
    11. Michele Cincera & Ela Ince, 2019. "Types of Innovation and Firm performance," Working Papers TIMES² 2019-032, ULB -- Universite Libre de Bruxelles.
    12. Burak Dindaroglu, 2010. "Intra-Industry Knowledge Spillovers and Scientific Labor Mobility," Discussion Papers 10-01, University at Albany, SUNY, Department of Economics.
    13. Arts, Sam & Hou, Jianan & Gomez, Juan Carlos, 2021. "Natural language processing to identify the creation and impact of new technologies in patent text: Code, data, and new measures," Research Policy, Elsevier, vol. 50(2).
    14. Nagaoka, Sadao & Motohashi, Kazuyuki & Goto, Akira, 2010. "Patent Statistics as an Innovation Indicator," Handbook of the Economics of Innovation, in: Bronwyn H. Hall & Nathan Rosenberg (ed.), Handbook of the Economics of Innovation, edition 1, volume 2, chapter 0, pages 1083-1127, Elsevier.
    15. Emanuele Bacchiocchi & Fabio Montobbio, 2010. "International Knowledge Diffusion and Home‐bias Effect: Do USPTO and EPO Patent Citations Tell the Same Story?," Scandinavian Journal of Economics, Wiley Blackwell, vol. 112(3), pages 441-470, September.
    16. Dirk Czarnitzki & Katrin Hussinger & Bart Leten, 2020. "How Valuable are Patent Blocking Strategies?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(3), pages 409-434, May.
    17. Michele Cincera, 2005. "Firms' productivity growth and R&D spillovers: An analysis of alternative technological proximity measures," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(8), pages 657-682.
    18. Carlos J. Serrano, 2010. "The dynamics of the transfer and renewal of patents," RAND Journal of Economics, RAND Corporation, vol. 41(4), pages 686-708, December.
    19. Ufuk Akcigit & William Kerr, 2015. "Growth through Heterogeneous Innovation, Second Version," PIER Working Paper Archive 15-020, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 25 Mar 2015.
    20. Feng Zhang & Guohua Jiang, 2019. "Combination of Complementary Technological Knowledge to Generate “Hard to Imitate” Technologies," Journal of Information & Knowledge Management (JIKM), World Scientific Publishing Co. Pte. Ltd., vol. 18(02), pages 1-24, June.

    More about this item

    Keywords

    Knowledge Spillovers; Patent Citation; R&D Expenditure; Tobin's Q;
    All these keywords.

    JEL classification:

    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:smu:ecowpa:0516. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Ömer Özak (email available below). General contact details of provider: http://www.smu.edu/economics .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.