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Academic contribution to industrial innovation by funding type

Author

Listed:
  • Byeongwoo Kang

    (Hitotsubashi University
    National Institute of Science and Technology Policy)

  • Kazuyuki Motohashi

    (The University of Tokyo
    National Institute of Science and Technology Policy)

Abstract

Universities are an important actor for innovation. Their contributions to technological and scientific knowledge development have been supported by various types of funding. The current study investigates the impacts of two academic research funding sources—industry and competitive—on academic patents. We measure the effects with two indicators—creation of progenitor inventions and the degree of diffusion. Using a patent database, this paper identifies a progenitor invention if a patent is granted without any backward citations and measures the degree of diffusion with patent citations. Focusing on Japanese university patents, the main finding of this paper is that competitive funding tends to produce progenitor inventions whereas industry funding is not likely to do so. By contrast, inventions produced from competitive funding are not likely to diffuse, whereas those produced from industry funding are likely to diffuse. Based on our findings, we argue that the competitive funding may work better when diffusion mechanism is introduced. An example is to increase academic researchers’ proximity to the industry. Additionally, our findings also imply that when setting new funding or changing academic funding system such as replacing block funding with other types, it is important to understand what kind of outcomes are expected from the funding method.

Suggested Citation

  • Byeongwoo Kang & Kazuyuki Motohashi, 2020. "Academic contribution to industrial innovation by funding type," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 169-193, July.
  • Handle: RePEc:spr:scient:v:124:y:2020:i:1:d:10.1007_s11192-020-03420-w
    DOI: 10.1007/s11192-020-03420-w
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    Cited by:

    1. 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.
    2. Chi-Yo Huang & Min-Jen Yang & Jeen-Fong Li & Hueiling Chen, 2021. "A DANP-Based NDEA-MOP Approach to Evaluating the Patent Commercialization Performance of Industry–Academic Collaborations," Mathematics, MDPI, vol. 9(18), pages 1-26, September.
    3. Margaret E. Blume-Kohout, 2023. "The case of the interrupting funder: dynamic effects of R&D funding and patenting in U.S. universities," The Journal of Technology Transfer, Springer, vol. 48(4), pages 1221-1242, August.
    4. Giuseppe Pernagallo, 2023. "Science in the mist: A model of asymmetric information for the research market," Metroeconomica, Wiley Blackwell, vol. 74(2), pages 390-415, May.
    5. 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.
    6. Seokbeom Kwon & Kazuyuki Motohashi & Kenta Ikeuchi, 2022. "Chasing two hares at once? Effect of joint institutional change for promoting commercial use of university knowledge and scientific research," The Journal of Technology Transfer, Springer, vol. 47(4), pages 1242-1272, August.
    7. René BELDERBOS & IKEUCHI Kenta & FUKAO Kyoji & KIM Young Gak & KWON Hyeog Ug, 2022. "What Do R&D Spillovers from Universities and Firms Contribute to Productivity? Plant level productivity and technological and geographic proximity in Japan," Discussion papers 22106, Research Institute of Economy, Trade and Industry (RIETI).
    8. Byeongwoo Kang & Kaoru Nabeshima, 2021. "National origin diversity and innovation performance: the case of Japan," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(6), pages 5333-5351, June.

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    More about this item

    Keywords

    Technological trajectory; Research funding; Academic patents; Japan;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General
    • I28 - Health, Education, and Welfare - - Education - - - Government Policy
    • H40 - Public Economics - - Publicly Provided Goods - - - General

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