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The value of knowledge spillovers in the U.S. semiconductor industry

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  • Deng, Yi

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 of the U.S. semiconductor firms during the 1980s and 1990s, and find an average value 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 can 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.

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  • 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.
    • Handle: RePEc:eee:indorg:v:26:y:2008:i:4:p:1044-1058
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    1. Rebecca Henderson & Iain Cockburn, 1996. "Scale, Scope, and Spillovers: The Determinants of Research Productivity in Drug Discovery," RAND Journal of Economics, The RAND Corporation, vol. 27(1), pages 32-59, Spring.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Hall, B. & Jaffe, A. & Trajtenberg, M., 2001. "The NBER Patent Citations Data File: Lessons, Insights and Methodological Tools," Papers 2001-29, Tel Aviv.
    7. Megna, Pamela & Klock, Mark, 1993. "The Impact on Intangible Capital on Tobin's q in the Semiconductor Industry," American Economic Review, American Economic Association, vol. 83(2), pages 265-269, May.
    8. Romer, Paul M, 1990. "Endogenous Technological Change," Journal of Political Economy, University of Chicago Press, vol. 98(5), pages 71-102, October.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
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    Cited by:

    1. Monika Schnitzer & Martin Watzinger, 2022. "Measuring the Spillovers of Venture Capital," The Review of Economics and Statistics, MIT Press, vol. 104(2), pages 276-292, May.
    2. George Messinis, 2011. "Triadic citations, country biases and patent value: the case of pharmaceuticals," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(3), pages 813-833, December.
    3. Dibiaggio, Ludovic & Nasiriyar, Maryam & Nesta, Lionel, 2014. "Substitutability and complementarity of technological knowledge and the inventive performance of semiconductor companies," Research Policy, Elsevier, vol. 43(9), pages 1582-1593.
    4. Chun-chieh Wang & Mu-hsuan Huang & Dar-zen Chen, 2012. "The Evolution of Knowledge Spillover and Company cluster in Semiconductor Industry," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 3(2), pages 109-124, June.
    5. Boeing, Philipp & Mueller, Elisabeth, 2019. "Measuring China's patent quality: Development and validation of ISR indices," China Economic Review, Elsevier, vol. 57(C).
    6. Jorge Nogueira de Paiva Britto & Leonardo Costa Ribeiro & Lucas Teixeira Araújo & Eduardo da Motta e Albuquerque, 2019. "Patent citations, knowledge flows and catching-up: evidences of different national experiences for the period 1982-2006," Textos para Discussão Cedeplar-UFMG 606, Cedeplar, Universidade Federal de Minas Gerais.
    7. Christiaan Hogendorn, 2012. "Spillovers and Network Neutrality," Chapters, in: Gerald R. Faulhaber & Gary Madden & Jeffrey Petchey (ed.), Regulation and the Performance of Communication and Information Networks, chapter 8, Edward Elgar Publishing.
    8. 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.
    9. Yi Deng & Gabriel Picone, 2013. "Strategic Clustering and Competition by Alcohol Retailers: An Emperical Anlysis of Entry and Location Decisions," Working Papers 1013, University of South Florida, Department of Economics.
    10. Carlo Giglio & Gianluca Salvatore Vocaturo & Roberto Palmieri, 2023. "Patent Acquisitions in the Healthcare Industry: An Analysis of Learning Mechanisms," IJERPH, MDPI, vol. 20(5), pages 1-13, February.
    11. repec:hal:spmain:info:hdl:2441/43aq8ffdqb82sbffkv69bt1eaa is not listed on IDEAS
    12. Yi Deng & Gabriel Picone, 2019. "An empirical analysis of entry and location decisions by bars and liquor stores," Empirical Economics, Springer, vol. 57(5), pages 1751-1782, November.
    13. Buhr, Helena & Funk, Russell J. & Owen-Smith, Jason, 2021. "The authenticity premium: Balancing conformity and innovation in high technology industries," Research Policy, Elsevier, vol. 50(1).
    14. Chen, Jong-Rong & Kan, Kamhon & Tung, I-Hsuan, 2016. "Scientific linkages and firm productivity: Panel data evidence from Taiwanese electronics firms," Research Policy, Elsevier, vol. 45(7), pages 1449-1459.
    15. repec:spo:wpmain:info:hdl:2441/43aq8ffdqb82sbffkv69bt1eaa is not listed on IDEAS
    16. Hosein Fallah, M. & Choudhury, Piyasi & Daim, Tugrul U., 2012. "Does movement of inventors between companies affect their productivity?," Technology in Society, Elsevier, vol. 34(3), pages 196-206.
    17. Femminis, Gianluca & Martini, Gianmaria, 2011. "Irreversible investment and R&D spillovers in a dynamic duopoly," Journal of Economic Dynamics and Control, Elsevier, vol. 35(7), pages 1061-1090, July.
    18. Carlo Giglio & Roberto Sbragia & Roberto Musmanno & Roberto Palmieri, 2021. "Cross-country learning from patents: an analysis of citations flows in innovation trajectories," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(9), pages 7917-7936, September.
    19. Cristina Quintana-García & Carlos A. Benavides-Velasco & Vanesa F. Guzmán-Parra, 2016. "Science-based Firms Going Public: The Role of Patent Indicators and Top Management Teams," Industry and Innovation, Taylor & Francis Journals, vol. 23(3), pages 243-259, April.

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