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Assessments of technology transfer activities of US universities and associated impact of Bayh–Dole Act

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  • Ampere A. Tseng

    (National Taiwan University of Science and Technology
    National Taiwan University of Science and Technology)

  • Miroslav Raudensky

    (Brno University of Technology)

Abstract

Patents and licenses are foundational to successful technology transfer in universities. In this article, the activities and performance of university patenting and licensing are studied to gauge the effectiveness of the Bayh–Dole Act (the “Act”), the most influential piece of US legislation on university technology transfer (UTT). Based on raw data from five sources, the annual numbers of patents granted, licenses signed, startup companies launched, and research expenditures are analyzed. Correlations are performed for all data presented to quantify trends over different time periods. We found that patenting and licensing activities in US universities slowed down greatly after 2000 and remained flat until the period from 2010 to 2012, when activities recover to the level of strength characterizing the period before 2000 and after the enactment of the Act. We identify that economic recessions is the major cause to the flatness of the patenting activities during 2000s. We also explain some of the differences found among different data sources and time periods.

Suggested Citation

  • Ampere A. Tseng & Miroslav Raudensky, 2014. "Assessments of technology transfer activities of US universities and associated impact of Bayh–Dole Act," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(3), pages 1851-1869, December.
  • Handle: RePEc:spr:scient:v:101:y:2014:i:3:d:10.1007_s11192-014-1404-6
    DOI: 10.1007/s11192-014-1404-6
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    Cited by:

    1. Shu-Hao Chang, 2022. "Examining Key Technologies Among Academic Patents Through an Analysis of Standard-Essential Patents," SAGE Open, , vol. 12(3), pages 21582440221, July.
    2. Hong Gong & Shan Peng, 2018. "Effects of patent policy on innovation outputs and commercialization: evidence from universities in China," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(2), pages 687-703, November.

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