IDEAS home Printed from https://ideas.repec.org/a/taf/ecinnt/v18y2009i2p123-137.html
   My bibliography  Save this article

US universities' net returns from patenting and licensing: a quantile regression analysis

Author

Listed:
  • H. Bulut
  • G. Moschini

Abstract

Consistent with the rights and incentives provided by the Bayh-Dole Act of 1980, US universities have increased their involvement in patenting and licensing activities through their own technology transfer offices. Only a few US universities are obtaining large returns, however, whereas others are continuing with these activities despite negligible or negative returns. We assess the US universities' potential to generate returns from licensing activities by modeling and estimating quantiles of the distribution of net licensing returns conditional on some of their structural characteristics. We find limited prospects for public universities without a medical school everywhere in their distribution. Other groups of universities (private, and public with a medical school) can expect better but still fairly modest returns. These findings call into question the appropriateness of the revenue-generating motive for the aggressive rate of patenting and licensing by US universities.

Suggested Citation

  • H. Bulut & G. Moschini, 2009. "US universities' net returns from patenting and licensing: a quantile regression analysis," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 18(2), pages 123-137.
  • Handle: RePEc:taf:ecinnt:v:18:y:2009:i:2:p:123-137
    DOI: 10.1080/10438590701709025
    as

    Download full text from publisher

    File URL: http://www.tandfonline.com/doi/abs/10.1080/10438590701709025
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10438590701709025?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 look for a different version below or search for a different version of it.

    Other versions of this item:

    References listed on IDEAS

    as
    1. Beath, John & Owen, Robert F. & Poyago-Theotoky, Joanna & Ulph, David, 2003. "Optimal incentives for income-generation in universities: the rule of thumb for the Compton tax," International Journal of Industrial Organization, Elsevier, vol. 21(9), pages 1301-1322, November.
    2. Siegel, Donald S. & Waldman, David & Link, Albert, 2003. "Assessing the impact of organizational practices on the relative productivity of university technology transfer offices: an exploratory study," Research Policy, Elsevier, vol. 32(1), pages 27-48, January.
    3. Rebecca Henderson & Adam B. Jaffe & Manuel Trajtenberg, 1998. "Universities As A Source Of Commercial Technology: A Detailed Analysis Of University Patenting, 1965-1988," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 119-127, February.
    4. Moshe Buchinsky, 1998. "Recent Advances in Quantile Regression Models: A Practical Guideline for Empirical Research," Journal of Human Resources, University of Wisconsin Press, vol. 33(1), pages 88-126.
    5. Koenker,Roger, 2005. "Quantile Regression," Cambridge Books, Cambridge University Press, number 9780521845731, January.
    6. Roberto Mazzoleni, 2005. "University patents, R&D competition, and social welfare," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 14(6), pages 499-515.
    7. Link, Albert N. & Scott, John T. & Siegel, Donald S., 2003. "The economics of intellectual property at universities: an overview of the special issue," International Journal of Industrial Organization, Elsevier, vol. 21(9), pages 1217-1225, November.
    8. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    9. Marie Thursby & Richard Jensen, 2001. "Proofs and Prototypes for Sale: The Licensing of University Inventions," American Economic Review, American Economic Association, vol. 91(1), pages 240-259, March.
    10. Sampat, Bhaven N., 2006. "Patenting and US academic research in the 20th century: The world before and after Bayh-Dole," Research Policy, Elsevier, vol. 35(6), pages 772-789, July.
    11. Jovanovic, Boyan, 1982. "Selection and the Evolution of Industry," Econometrica, Econometric Society, vol. 50(3), pages 649-670, May.
    12. Saul Lach & Mark Schankerman, 2004. "Royalty Sharing and Technology Licensing in Universities," Journal of the European Economic Association, MIT Press, vol. 2(2-3), pages 252-264, 04/05.
    13. Buchinsky, Moshe, 1995. "Estimating the asymptotic covariance matrix for quantile regression models a Monte Carlo study," Journal of Econometrics, Elsevier, vol. 68(2), pages 303-338, August.
    14. R. Mazzoleni & B. N. Sampat, 2002. "University patenting : an assessment of the causes and consequences of recent changes in strategies and practices," Revue d'Économie Industrielle, Programme National Persée, vol. 99(1), pages 233-248.
    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. Bartelsman, Eric & Dobbelaere, Sabien & Peters, Bettina, 2013. "Allocation of Human Capital and Innovation at the Frontier: Firm-Level Evidence on Germany and the Netherlands," IZA Discussion Papers 7540, Institute of Labor Economics (IZA).
    2. Richards, Timothy J. & Rickard, Bradley J., 2013. "Patents as Options: Path-Dependency and Patent Value," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 149725, Agricultural and Applied Economics Association.
    3. Katerina Sideri & Andreas Panagopoulos, 2018. "Setting up a technology commercialization office at a non-entrepreneurial university: an insider’s look at practices and culture," The Journal of Technology Transfer, Springer, vol. 43(4), pages 953-965, August.
    4. Yuandi Wang & Ruifeng Hu & Weiping Li & Xiongfeng Pan, 2016. "Does teaching benefit from university–industry collaboration? Investigating the role of academic commercialization and engagement," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(3), pages 1037-1055, March.
    5. Peter Tinnemann & Jonas Özbay & Victoria A Saint & Stefan N Willich, 2010. "Patenting of University and Non-University Public Research Organisations in Germany: Evidence from Patent Applications for Medical Research Results," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-12, November.
    6. Rickard, Bradley J. & Schmit, Todd M. & Gomez, Miguel I. & Lu, Hao, 2011. "Does the Name Matter? Developing Brands for Patented Fruit Varieties," Working Papers 126603, Cornell University, Department of Applied Economics and Management.
    7. Birgitte Andersen & Federica Rossi, 2011. "Intellectual property governance and knowledge creation in UK universities," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 20(8), pages 701-725, September.
    8. Christian Fisch & Tobias Hassel & Philipp Sandner & Joern Block, 2015. "University patenting: a comparison of 300 leading universities worldwide," The Journal of Technology Transfer, Springer, vol. 40(2), pages 318-345, April.
    9. Bradley J. Rickard & Timothy J. Richards & Jubo Yan, 2016. "University licensing of patents for varietal innovations in agriculture," Agricultural Economics, International Association of Agricultural Economists, vol. 47(1), pages 3-14, January.
    10. Westerberg, Hans Seerar, 2014. "The Return to R&D and Seller-buyer Interactions: A Quantile Regression Approach," Ratio Working Papers 231, The Ratio Institute.
    11. Fang, Di & Richards, Timothy & Rickard, Bradley, 2015. "Optimal Licensing of Agricultural Patents: Fees Versus Royalties," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 40(1), pages 1-22.
    12. Nasirov, Shukhrat & Joshi, Amol M., 2023. "Minding the communications gap: How can universities signal the availability and value of their scientific knowledge to commercial organizations?," Research Policy, Elsevier, vol. 52(9).
    13. Anthony D So & Bhaven N Sampat & Arti K Rai & Robert Cook-Deegan & Jerome H Reichman & Robert Weissman & Amy Kapczynski, 2008. "Is Bayh-Dole Good for Developing Countries? Lessons from the US Experience," PLOS Biology, Public Library of Science, vol. 6(10), pages 1-7, October.
    14. Gallardo, R. Karina & McCluskey, Jill J. & Rickard, Bradley J. & Akhundjanov, Sherzod B., 2016. "Assessing Innovator and Grower Profit Potential under Different New Plant Variety Commercialization Strategies," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235940, Agricultural and Applied Economics Association.
    15. Mata, José & Woerter, Martin, 2013. "Risky innovation: The impact of internal and external R&D strategies upon the distribution of returns," Research Policy, Elsevier, vol. 42(2), pages 495-501.
    16. Lee, Yoo Hwan & Graff, Gregory D., 2016. "Academic Knowledge Spillovers and the Role of Geographic Proximity in Regional Agriculture-related Sectors: The impact of agricultural research at Colorado State University on the Colorado economy, an," 2016 Annual Meeting, July 31-August 2, Boston, Massachusetts 235717, Agricultural and Applied Economics Association.
    17. Isabel Maria Bodas Freitas & Aldo Geuna & Federica Rossi, 2011. "University–Industry Interactions: The Unresolved Puzzle," Chapters, in: Cristiano Antonelli (ed.), Handbook on the Economic Complexity of Technological Change, chapter 11, Edward Elgar Publishing.
    18. Yuandi Wang & Die Hu & Weiping Li & Yiwei Li & Qiang Li, 2015. "Collaboration strategies and effects on university research: evidence from Chinese universities," Scientometrics, Springer;Akadémiai Kiadó, vol. 103(2), pages 725-749, May.
    19. Maksim Belitski & Rosa Caiazza & Yuliya Rodionova, 2020. "Investment in training and skills for innovation in entrepreneurial start-ups and incumbents: evidence from the United Kingdom," International Entrepreneurship and Management Journal, Springer, vol. 16(2), pages 617-640, June.

    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. Bulut, Harun & Moschini, GianCarlo, 2006. "U.S. Universitiesï¾’ Net Returns from Patenting and Licensing: A Quantile Regression Analysis," Staff General Research Papers Archive 12672, Iowa State University, Department of Economics.
    2. Micheline Goedhuys & Leo Sleuwaegen, 2010. "High-growth entrepreneurial firms in Africa: a quantile regression approach," Small Business Economics, Springer, vol. 34(1), pages 31-51, January.
    3. Darcy, Jacques & Kraemer-Eis, Helmut & Debande, Olivier & Guellec, Dominique, 2009. "Financing Technology Transfer," EIF Working Paper Series 2009/02, European Investment Fund (EIF).
    4. Hsu, David W.L. & Shen, Yung-Chi & Yuan, Benjamin J.C. & Chou, Chiyan James, 2015. "Toward successful commercialization of university technology: Performance drivers of university technology transfer in Taiwan," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 25-39.
    5. LI, Tao & SUN, Laixiang & ZOU, Liang, 2009. "State ownership and corporate performance: A quantile regression analysis of Chinese listed companies," China Economic Review, Elsevier, vol. 20(4), pages 703-716, December.
    6. LUCIANO MARTINS COSTA PÓVOA & Márcia SiqueiraRapini, 2011. "Technology Transferfrom Universities And Public Research Institutes To Firms In Brazil:What Is Transferred And How The Transfer Is Made," Anais do XXXVII Encontro Nacional de Economia [Proceedings of the 37th Brazilian Economics Meeting] 149, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    7. Nicola Baldini, 2008. "Negative effects of university patenting: Myths and grounded evidence," Scientometrics, Springer;Akadémiai Kiadó, vol. 75(2), pages 289-311, May.
    8. Marcelo Fernandes & Emmanuel Guerre & Eduardo Horta, 2021. "Smoothing Quantile Regressions," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 39(1), pages 338-357, January.
    9. Xu, Bin & Lin, Boqiang, 2016. "A quantile regression analysis of China's provincial CO2 emissions: Where does the difference lie?," Energy Policy, Elsevier, vol. 98(C), pages 328-342.
    10. Ani Gerbin & Mateja Drnovsek, 2016. "Determinants and public policy implications of academic-industry knowledge transfer in life sciences: a review and a conceptual framework," The Journal of Technology Transfer, Springer, vol. 41(5), pages 979-1076, October.
    11. Julien Pénin, 2009. "On the consequences of university patenting: What can we learn by asking directly to academic inventors?," Working Papers of BETA 2009-04, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    12. Saul Lach & Mark Schankerman, 2008. "Incentives and invention in universities," RAND Journal of Economics, RAND Corporation, vol. 39(2), pages 403-433, June.
    13. Amit Shovon Ray & Sabyasachi Saha, "undated". "Patenting Public-Funded Research for Technology Transfer: A Conceptual-Empirical Synthesis of US Evidence and Lessons for India," Indian Council for Research on International Economic Relations, New Delhi Working Papers 244, Indian Council for Research on International Economic Relations, New Delhi, India.
    14. Duschl, Matthias & Schimke, Antje & Brenner, Thomas & Luxen, Dennis, 2011. "Firm growth and the spatial impact of geolocated external factors: Empirical evidence for German manufacturing firms," Working Paper Series in Economics 36, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    15. Jeremy Foltz & Bradford Barham & Jean-Paul Chavas & Kwansoo Kim, 2012. "Efficiency and technological change at US research universities," Journal of Productivity Analysis, Springer, vol. 37(2), pages 171-186, April.
    16. Winters, John V. & Hirsch, Barry, 2012. "An Anatomy of Racial and Ethnic Trends in Male Earnings," IZA Discussion Papers 6766, Institute of Labor Economics (IZA).
    17. Giorgio Calcagnini & Germana Giombini & Paolo Liberati & Giuseppe Travaglini, 2019. "Technology transfer with search intensity and project advertising," The Journal of Technology Transfer, Springer, vol. 44(5), pages 1529-1546, October.
    18. Fattouh, Bassam & Scaramozzino, Pasquale & Harris, Laurence, 2005. "Capital structure in South Korea: a quantile regression approach," Journal of Development Economics, Elsevier, vol. 76(1), pages 231-250, February.
    19. Tomás del Barrio-Castro & José García-Quevedo, 2009. "The determinants of university patenting: Do incentives matter?," Working Papers XREAP2009-14, Xarxa de Referència en Economia Aplicada (XREAP), revised Nov 2009.
    20. Wiji Arulampalam & Alison Booth & Mark Bryan, 2010. "Are there asymmetries in the effects of training on the conditional male wage distribution?," Journal of Population Economics, Springer;European Society for Population Economics, vol. 23(1), pages 251-272, January.

    More about this item

    Keywords

    bayh-dole act; quantile regression; returns to innovation; skewed distributions; technology transfer; university patents;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • L31 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Nonprofit Institutions; NGOs; Social Entrepreneurship
    • L33 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Comparison of Public and Private Enterprise and Nonprofit Institutions; Privatization; Contracting Out
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

    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:ecinnt:v:18:y:2009:i:2:p:123-137. 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/GEIN20 .

    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.