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Identifying the effects of technology transfer policy using a quantile regression: the case of South Korea

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  • Jaepil Han

    (Korea Development Institute)

Abstract

The South Korean government provided policy levers for technology transfer by establishing the Technology Transfer Promotion Act in 2000. It also implemented a technology transfer promotion plan based on this law. Along with the law’s enactment, the Korean government required the establishment of technology licensing offices (TLOs) for national and public universities. Although this policy led to the quantitative expansion of TLOs, it did not result in qualitative growth. The Korean government implemented a supplementary program to support the leading TLOs’ labor and business expenses. In the current work, the author questions if the program had a significant effect on the performance of TLOs. I analyze the policy effect on the performance of TLOs, as measured by royalty income or the number of technology transfer contracts. In particular, the heterogeneous effect is examined by using quantile regression applied to publicly available university panel data from 2007 to 2015. The results corroborate that the program had a significant impact only on the lower 10% quantile. The government also provides programs for marketing, consulting, and manpower training. However, the policy only focuses on financial support, and the support provided to each university is uniform. In addition, results suggest that the support policy must be diversified based on the characteristics and research capacity of each university.

Suggested Citation

  • Jaepil Han, 2020. "Identifying the effects of technology transfer policy using a quantile regression: the case of South Korea," The Journal of Technology Transfer, Springer, vol. 45(6), pages 1690-1717, December.
    • Handle: RePEc:kap:jtecht:v:45:y:2020:i:6:d:10.1007_s10961-019-09768-3
    DOI: 10.1007/s10961-019-09768-3
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    Cited by:

    1. Lauretta Rubini & Chiara Pollio & Giuseppe Lucio Gaeta & Elisa Barbieri, 2021. "Heterogeneous effects of spinoff foundations on the means of technology transfer: the role of past academic-industry collaborations," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 38(1), pages 261-292, April.
    2. Zhenxu Guo & Jiarui Shen & Lihong Li, 2024. "Identifying the implementation effect of technology transfer policy using system dynamics: a case study in Liaoning, China," The Journal of Technology Transfer, Springer, vol. 49(2), pages 660-688, April.
    3. Zhunwoo Kim & Ohsung Kwon, 2024. "The moderating role of external private investment on government-sponsored commercialisation R&D," Economics and Business Letters, Oviedo University Press, vol. 13(1), pages 12-19.
    4. Samira Yusef Araújo Falani Bezerra & Ana Lúcia Vitale Torkomian, 2024. "Technology Transfer Offices: a Systematic Review of the Literature and Future Perspective," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(1), pages 4455-4488, March.

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    More about this item

    Keywords

    Technology transfer policy; Technology licensing office; University TLOs; Quantile regression;
    All these keywords.

    JEL classification:

    • L24 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Contracting Out; Joint Ventures
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy

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