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On the transfer of technology from universities: The impact of the Bayh–Dole Act of 1980 on the institutionalization of university research

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  • Link, Albert N.
  • van Hasselt, Martijn

Abstract

While the academic and policy literature has focused on patent counts and patent quality as possible outcome measures to evaluate the impact of the U.S. Bayh–Dole Act of 1980, we argue that the impact of the Act on university effort to transfer its technology to the private sector might be seen more accurately by examining the trend in the initial establishment of technology transfer offices (TTOs). Using an econometric framework to identify the presence of multiple structural breaks in data on the annual number of university TTOs, we find multiple break dates over the period 1925 to 2014. One break date was in the late-1960s and a second break date occurred about 1982. We suggest, in contrast to previous findings in the literature, that the Act did have an impact on the formal internal transfer of technology from universities through patenting by providing an incentive for universities to invest in a TTO research infrastructure. We also suggest that our empirical methodology is applicable to an assessment of the impact of legislation similar to the Bayh–Dole Act in the many countries with such legislation.

Suggested Citation

  • Link, Albert N. & van Hasselt, Martijn, 2019. "On the transfer of technology from universities: The impact of the Bayh–Dole Act of 1980 on the institutionalization of university research," European Economic Review, Elsevier, vol. 119(C), pages 472-481.
  • Handle: RePEc:eee:eecrev:v:119:y:2019:i:c:p:472-481
    DOI: 10.1016/j.euroecorev.2019.08.006
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    Cited by:

    1. Mai, Nhat Chi, 2021. "Analysis of Changes in Comparative Advantages of the Manufacturing in Vietnam and Comparison with China," OSF Preprints e9avy, Center for Open Science.
    2. Vincent Smith & Justus H. H. Wesseler & David Zilberman, 2021. "New Plant Breeding Technologies: An Assessment of the Political Economy of the Regulatory Environment and Implications for Sustainability," Sustainability, MDPI, vol. 13(7), pages 1-18, March.
    3. Albert N. Link, 2021. "Knowledge transfers from federally supported R&D," International Entrepreneurship and Management Journal, Springer, vol. 17(1), pages 249-260, March.
    4. Conor O’Kane & James A. Cunningham & Matthias Menter & Sara Walton, 2021. "The brokering role of technology transfer offices within entrepreneurial ecosystems: an investigation of macro–meso–micro factors," The Journal of Technology Transfer, Springer, vol. 46(6), pages 1814-1844, December.
    5. Maribel Guerrero & Albert N. Link & Martijn Hasselt, 2024. "The transfer of federally funded technology: A study of small, entrepreneurial, and ambidextrous firms," Small Business Economics, Springer, vol. 62(3), pages 1009-1023, March.
    6. Annita Nugent & Ho Fai Chan & Uwe Dulleck, 2022. "Government funding of university-industry collaboration: exploring the impact of targeted funding on university patent activity," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 29-73, January.
    7. Stojčić, Nebojša & Srhoj, Stjepan & Coad, Alex, 2020. "Innovation procurement as capability-building: Evaluating innovation policies in eight Central and Eastern European countries," European Economic Review, Elsevier, vol. 121(C).
    8. Andrea Bonaccorsi & Brigida Blasi & Carmela Anna Nappi & Sandra Romagnosi, 2022. "Quality of research as source and signal: revisiting the valorization process beyond substitution vs complementarity," The Journal of Technology Transfer, Springer, vol. 47(2), pages 407-434, April.
    9. Jiafeng Gu, 2021. "Effects of Patent Policy on Outputs and Commercialization of Academic Patents in China: A Spatial Difference-in-Differences Analysis," Sustainability, MDPI, vol. 13(23), pages 1-17, December.
    10. Chen, Kun & Wupur, Abduhalik & Abudouguli, Ailifeire & Yang, Guo-liang, 2023. "Measuring the knowledge transfer efficiency of social science in Chinese universities from a think tank perspective," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    11. Laura Kreiling & Ahmed Bounfour, 2020. "A practice-based maturity model for holistic TTO performance management: development and initial use," The Journal of Technology Transfer, Springer, vol. 45(6), pages 1718-1747, December.
    12. Kraft, Kornelius & Lammers, Alexander, 2021. "Bargaining Power and the Labor Share - a Structural Break Approach," VfS Annual Conference 2021 (Virtual Conference): Climate Economics 242342, Verein für Socialpolitik / German Economic Association.
    13. Min, Jae-Woong & Kim, YoungJun & Vonortas, Nicholas S., 2020. "Public technology transfer, commercialization and business growth," European Economic Review, Elsevier, vol. 124(C).
    14. Temel, Serdal & Dabić, Marina & Murat Ar, Ilker & Howells, Jeremy & Ali Mert, & Yesilay, Rustem Baris, 2021. "Exploring the relationship between university innovation intermediaries and patenting performance," Technology in Society, Elsevier, vol. 66(C).
    15. FUKUGAWA Nobuya, 2023. "Sources of Heterogeneous Treatment Effects of Incorporating Manufacturing Kohsetsushi : Evidence from panel data of technology extension," Discussion papers 23062, Research Institute of Economy, Trade and Industry (RIETI).

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    More about this item

    Keywords

    Bayh–Dole Act; Technology transfer; Patenting; Structural change;
    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
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models

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