IDEAS home Printed from https://ideas.repec.org/a/taf/applec/45y2013i5p651-661.html
   My bibliography  Save this article

Determinants of inter-firm technology licensing in the EU

Author

Listed:
  • Young Jun Kim
  • George Clarke

Abstract

This article investigates the determinants of technology licensing, focusing on how country-specific characteristics affect technology holders’ incentives to sell their proprietary technologies through licensing alliances. An empirical examination of licensing is done using a unique panel data set of licensing transactions involving companies in the EU. The strength of Intellectual Property Rights (IPR) protection, the degree of economic freedom, the level of country risk, and the number of patent granted in the country are found to be important determinants of inter-firm technology licensing. In addition, firms with prior independent experience as a licensor and public companies tend to license technology more.

Suggested Citation

  • Young Jun Kim & George Clarke, 2013. "Determinants of inter-firm technology licensing in the EU," Applied Economics, Taylor & Francis Journals, vol. 45(5), pages 651-661, February.
  • Handle: RePEc:taf:applec:45:y:2013:i:5:p:651-661 DOI: 10.1080/00036846.2011.610746
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2011.610746
    Download Restriction: Access to full text is restricted to subscribers.

    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. Bewley, R. A., 1979. "The direct estimation of the equilibrium response in a linear dynamic model," Economics Letters, Elsevier, vol. 3(4), pages 357-361.
    2. Nasri Harb, 2005. "Import demand in heterogeneous panel setting," Applied Economics, Taylor & Francis Journals, vol. 37(20), pages 2407-2415.
    3. Narayan, Paresh Kumar & Narayan, Seema, 2005. "Estimating income and price elasticities of imports for Fiji in a cointegration framework," Economic Modelling, Elsevier, vol. 22(3), pages 423-438, May.
    4. Hendry, David F., 1995. "Dynamic Econometrics," OUP Catalogue, Oxford University Press, number 9780198283164.
    5. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    6. Nasri Harb, 2007. "Trade between Euro zone and Arab countries: a panel study," Applied Economics, Taylor & Francis Journals, vol. 39(16), pages 2099-2107.
    7. Saikkonen, Pentti, 1991. "Asymptotically Efficient Estimation of Cointegration Regressions," Econometric Theory, Cambridge University Press, vol. 7(01), pages 1-21, March.
    8. Narayan, Paresh Kumar, 2004. "Do public investments crowd out private investments? Fresh evidence from Fiji," Journal of Policy Modeling, Elsevier, vol. 26(6), pages 747-753, September.
    9. Steven Cook, 2008. "Econometric analysis of interest rate pass-through," Applied Financial Economics Letters, Taylor and Francis Journals, vol. 4(4), pages 249-251.
    10. Monica Auteri & Mauro Costantini, 2004. "Is social protection a necessity or a luxury good? New multivariate cointegration panel data results," Applied Economics, Taylor & Francis Journals, vol. 36(17), pages 1887-1898.
    11. Konno, Toru & Fukushige, Mototsugu, 2003. "Did NAFTA cause the structural changes in bilateral import functions between the US and Mexico?," Journal of Policy Modeling, Elsevier, vol. 25(1), pages 53-59, January.
    12. Hayakawa, Kazuhiko & Kurozumi, Eiji, 2008. "The role of “leads” in the dynamic OLS estimation of cointegrating regression models," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 79(3), pages 555-560.
    13. Masih, Rumi & Masih, Abul M. M., 1996. "Stock-Watson dynamic OLS (DOLS) and error-correction modelling approaches to estimating long- and short-run elasticities in a demand function: new evidence and methodological implications from an appl," Energy Economics, Elsevier, vol. 18(4), pages 315-334, October.
    Full references (including those not matched with items on IDEAS)

    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:applec:45:y:2013:i:5:p:651-661. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Chris Longhurst). General contact details of provider: http://www.tandfonline.com/RAEC20 .

    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.

    We have no references for this item. You can help adding them by using 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.

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

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.