IDEAS home Printed from https://ideas.repec.org/a/taf/apeclt/v11y2004i10p631-637.html
   My bibliography  Save this article

Market structure and technology licensing: evidence from US manufacturing

Author

Listed:
  • Youngjun Kim

Abstract

This paper empirically investigates how market structure, including firm- and industry-level variables, influences the incentives of companies to license out their technology. Empirical analysis is provided with the help of a panel data set of observed licensing transactions worldwide involving manufacturing companies publicly traded in the USA. The findings show that dominant firms with bigger market shares are actively involved in granting technology licenses. It was also found that company's prior involvement in licensing, the concentration and the market size of its primary industry, and the propensity to receive patents (i.e. strength of the intellectual property protection) in that industry are important determinants of the propensity to transfer technology through licensing agreements. Results suggest that transaction costs, strategic considerations, and knowledge appropriability weigh in heavily in explaining firms' licensing behaviour.

Suggested Citation

  • Youngjun Kim, 2004. "Market structure and technology licensing: evidence from US manufacturing," Applied Economics Letters, Taylor & Francis Journals, vol. 11(10), pages 631-637.
    • Handle: RePEc:taf:apeclt:v:11:y:2004:i:10:p:631-637
    DOI: 10.1080/1350485042000235675
    as

    Download full text from publisher

    File URL: http://www.informaworld.com/openurl?genre=article&doi=10.1080/1350485042000235675&magic=repec&7C&7C8674ECAB8BB840C6AD35DC6213A474B5
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/1350485042000235675?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Cameron, A Colin & Trivedi, Pravin K, 1986. "Econometric Models Based on Count Data: Comparisons and Applications of Some Estimators and Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 29-53, January.
    2. Ashish Arora & Andrea Fosfuri & Alfonso Gambardella, 2004. "Markets for Technology: The Economics of Innovation and Corporate Strategy," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262511819, April.
    3. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    4. Roberto G. Gutierrez & Shana Carter & David M. Drukker, 2001. "On boundary-value likelihood-ratio tests," Stata Technical Bulletin, StataCorp LP, vol. 10(60).
    5. Bharat N. Anand & Tarun Khanna, 2000. "The Structure of Licensing Contracts," Journal of Industrial Economics, Wiley Blackwell, vol. 48(1), pages 103-135, March.
    6. repec:bla:jindec:v:48:y:2000:i:1:p:103-35 is not listed on IDEAS
    7. Universities-National Bureau Committee for Economic Research & Committee on Economic Growth of the Social Science Research Council, 1962. "The Rate and Direction of Inventive Activity: Economic and Social Factors," NBER Books, National Bureau of Economic Research, Inc, number univ62-1.
    8. Blundell, Richard & Griffith, Rachel & Van Reenen, John, 1995. "Dynamic Count Data Models of Technological Innovation," Economic Journal, Royal Economic Society, vol. 105(429), pages 333-344, March.
    9. Winkelmann, Rainer & Zimmermann, Klaus F, 1995. "Recent Developments in Count Data Modelling: Theory and Application," Journal of Economic Surveys, Wiley Blackwell, vol. 9(1), pages 1-24, March.
    10. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
    11. Hart, Oliver, 1995. "Firms, Contracts, and Financial Structure," OUP Catalogue, Oxford University Press, number 9780198288817.
    12. Cohen, Wesley M. & Goto, Akira & Nagata, Akiya & Nelson, Richard R. & Walsh, John P., 2002. "R&D spillovers, patents and the incentives to innovate in Japan and the United States," Research Policy, Elsevier, vol. 31(8-9), pages 1349-1367, December.
    13. Richard Blundell & Rachel Griffith & John van Reenen, 1999. "Market Share, Market Value and Innovation in a Panel of British Manufacturing Firms," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 66(3), pages 529-554.
    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. Sèna Kimm Gnangnon, 2023. "Do Aid for Trade Flows Affect Technology Licensing in Recipient Countries?," JRFM, MDPI, vol. 16(12), pages 1-31, December.
    2. Xue Yang & Hao Zhang & Die Hu & Bingde Wu, 2023. "The timing dilemma: understanding the determinants of innovative startups’ patent collateralization for loans," Small Business Economics, Springer, vol. 60(1), pages 371-403, January.
    3. Pedro Mendi, 2007. "Contractual implications of international trade in tacit knowledge," Applied Economics, Taylor & Francis Journals, vol. 39(9), pages 1173-1183.
    4. Nishimura, Junichi & Okada, Yosuke, 2014. "R&D portfolios and pharmaceutical licensing," Research Policy, Elsevier, vol. 43(7), pages 1250-1263.
    5. Gnangnon, Sèna Kimm, 2023. "Do Aid for Trade flows affect Technology Licensing in Recipient Countries?," EconStor Preprints 273419, ZBW - Leibniz Information Centre for Economics.
    6. Florian Köhler, 2011. "Patent cross-licensing, the influence of IP interdependency and the moderating effect of firm size," The Journal of Technology Transfer, Springer, vol. 36(4), pages 448-467, August.

    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. YoungJun Kim & Nicholas S. Vonortas, 2006. "Determinants of technology licensing: the case of licensors," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 27(4), pages 235-249.
    2. Bronzini, Raffaello & Piselli, Paolo, 2016. "The impact of R&D subsidies on firm innovation," Research Policy, Elsevier, vol. 45(2), pages 442-457.
    3. Vivek Ghosal & Jiayao Ni, 2015. "Competition and Innovation in Automobile Markets," CESifo Working Paper Series 5504, CESifo.
    4. Philippe Aghion & Nick Bloom & Richard Blundell & Rachel Griffith & Peter Howitt, 2005. "Competition and Innovation: an Inverted-U Relationship," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(2), pages 701-728.
    5. Ann-Kathrine Ejsing & Ulrich Kaiser & Hans Christian Kongsted & Keld Laursen, 2013. "The Role of University Scientist Mobility for Industrial Innovation," Working Papers 332, University of Zurich, Department of Business Administration (IBW).
    6. Lopez, Henry & Vanhaverbeke, Wim, 2009. "How innovation intermediaries are shaping the technology market? An analysis of their business model," MPRA Paper 27016, University Library of Munich, Germany, revised 2010.
    7. Boudreau, Kevin J. & Lakhani, Karim R., 2015. "“Open” disclosure of innovations, incentives and follow-on reuse: Theory on processes of cumulative innovation and a field experiment in computational biology," Research Policy, Elsevier, vol. 44(1), pages 4-19.
    8. Kaiser, Ulrich & Kongsted, Hans Christian & Rønde, Thomas, 2015. "Does the mobility of R&D labor increase innovation?," Journal of Economic Behavior & Organization, Elsevier, vol. 110(C), pages 91-105.
    9. Appio, Francesco Paolo & Baglieri, Daniela & Cesaroni, Fabrizio & Spicuzza, Lucia & Donato, Alessia, 2022. "Patent design strategies: Empirical evidence from European patents," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    10. Thomas Bolli & Martin Woerter, 2013. "Technological Diversification and Innovation Performance," KOF Working papers 13-336, KOF Swiss Economic Institute, ETH Zurich.
    11. Philippe Aghion & Antoine Dechezleprêtre & David Hémous & Ralf Martin & John Van Reenen, 2016. "Carbon Taxes, Path Dependency, and Directed Technical Change: Evidence from the Auto Industry," Journal of Political Economy, University of Chicago Press, vol. 124(1), pages 1-51.
    12. 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.
    13. Rik L. Rozendaal & Herman R. J. Vollebergh, 2021. "Policy-Induced Innovation in Clean Technologies: Evidence from the Car Market," CESifo Working Paper Series 9422, CESifo.
    14. Blundell, Richard & Griffith, Rachel & Windmeijer, Frank, 2002. "Individual effects and dynamics in count data models," Journal of Econometrics, Elsevier, vol. 108(1), pages 113-131, May.
    15. Anja, Breitwieser & Neil, Foster, 2012. "Intellectual property rights, innovation and technology transfer: a survey," MPRA Paper 36094, University Library of Munich, Germany.
    16. Baptista, Rui & Swann, Peter, 1998. "Do firms in clusters innovate more?," Research Policy, Elsevier, vol. 27(5), pages 525-540, September.
    17. Yoshitsugu Kitazawa, 2012. "An improved theoretical ground for the linear feedback model and a new indicator," Discussion Papers 58, Kyushu Sangyo University, Faculty of Economics.
    18. James Love & Stephen Roper, 1999. "The Determinants of Innovation: R & D, Technology Transfer and Networking Effects," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 15(1), pages 43-64, August.
    19. José M. Labeaga & Ester Martínez Ros, "undated". "Persistence and ability in the innovation decisions," Working Papers 2005-16, FEDEA.
    20. Gopinath, Munisamy & Vasavada, Utpal, 1999. "Patents, R&D, And Market Structure In The U.S. Food Processing Industry," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 24(1), pages 1-13, July.

    More about this item

    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:taf:apeclt:v:11:y:2004:i:10:p:631-637. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RAEL20 .

    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.