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Knowledge and rent spillovers through government-sponsored R&D consortia

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  • Junichi Nishimura
  • Hiroyuki Okamuro

Abstract

This paper empirically examines the spillover effects through government-sponsored R&D consortia (collaborative R&D projects among private firms, universities, and public research institutes) using firm-level data and the propensity score matching method. The participants in R&D consortia are expected to enhance their performance as a result of direct knowledge spillovers. The business partners of the consortia members may also enjoy indirect effects including rent spillovers through their business transactions. Focusing on a major support program for R&D consortia in Japan, the Consortium R&D Project for Regional Revitalization, we confirm that there are both direct (knowledge) spillover effects from the firms’ participation in this program as well as indirect spillover effects on the customer firms of the consortia members. Moreover, by comparing large firms and small and medium-sized enterprises, we find that only the latter benefit from knowledge spillovers in the R&D consortia; among their customers, only large firms enjoy indirect spillover effects.

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  • Junichi Nishimura & Hiroyuki Okamuro, 2016. "Knowledge and rent spillovers through government-sponsored R&D consortia," Science and Public Policy, Oxford University Press, vol. 43(2), pages 207-225.
    • Handle: RePEc:oup:scippl:v:43:y:2016:i:2:p:207-225.
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    File URL: http://hdl.handle.net/10.1093/scipol/scv028
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    3. Isabel Maria Bodas Freitas & Bart Verspagen, 2017. "The motivations, institutions and organization of university-industry collaborations in the Netherlands," Journal of Evolutionary Economics, Springer, vol. 27(3), pages 379-412, July.
    4. Eduardo Gonçalves & Fernando Salgueiro Perobelli & Inácio Fernandes Araújo, 2017. "Estimating intersectoral technology spillovers for Brazil," The Journal of Technology Transfer, Springer, vol. 42(6), pages 1377-1406, December.
    5. de Almeida, Liliane & Augusto de Jesus Pacheco, Diego & Caten, Carla Schwengber ten & Jung, Carlos Fernando, 2021. "A methodology for identifying results and impacts in technological innovation projects," Technology in Society, Elsevier, vol. 66(C).
    6. Alessandra Scandura & Simona Iammarino, 2022. "Academic engagement with industry: the role of research quality and experience," The Journal of Technology Transfer, Springer, vol. 47(4), pages 1000-1036, August.
    7. OKAMURO, Hiroyuki & 岡室, 博之 & NISHIMURA, Junichi, 2015. "Governance and Performance of Publicly Funded R&D Consortia," CCES Discussion Paper Series 60, Center for Research on Contemporary Economic Systems, Graduate School of Economics, Hitotsubashi University.
    8. Nishimura, Junichi & Okamuro, Hiroyuki, 2018. "Internal and external discipline: The effect of project leadership and government monitoring on the performance of publicly funded R&D consortia," Research Policy, Elsevier, vol. 47(5), pages 840-853.
    9. Ruben Fotso, 2020. "Evaluation of indirect effects of place-based science-industry transfer policies: Case of French Technological Research Institutes," Working Papers halshs-02998262, HAL.
    10. Ruben Fotso, 2020. "Evaluation of the effectiveness of technological platforms as a technology transfer tool: the impact of French Technological Research Institutes on the socio-economic performance of SMEs," Working Papers 2032, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    11. Ruben Fotso, 2022. "Evaluating the indirect effects of cluster-based innovation policies: the case of the Technological Research Institutes in France," The Journal of Technology Transfer, Springer, vol. 47(4), pages 1070-1114, August.
    12. Ruben Fotso, 2020. "Evaluation of indirect effects of place-based science-industry transfer policies: Case of French Technological Research Institutes," Working Papers 2031, Groupe d'Analyse et de Théorie Economique Lyon St-Étienne (GATE Lyon St-Étienne), Université de Lyon.
    13. Ruben Fotso, 2020. "Evaluation of the effectiveness of technological platforms as a technology transfer tool: the impact of French Technological Research Institutes on the socio-economic performance of SMEs," Working Papers halshs-02998309, HAL.
    14. Michal Hrivnák & Jana Jarábková, 2022. "Drivers of Academic Engagement and University–Industry Collaboration in Conditions of Slovakia," Administrative Sciences, MDPI, vol. 12(4), pages 1-21, September.
    15. Telma Mendes & Vítor Braga & Carina Silva & Vanessa Ratten, 2023. "Taking a closer look at the regionally clustered firms: How can ambidexterity explain the link between management, entrepreneurship, and innovation in a post-industrialized world?," The Journal of Technology Transfer, Springer, vol. 48(6), pages 2007-2053, December.
    16. Okamuro, Hiroyuki & Nishimura, Junichi, 2018. "Whose business is your project? A comparative study of different subsidy policy schemes for collaborative R&D," Technological Forecasting and Social Change, Elsevier, vol. 127(C), pages 85-96.

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    More about this item

    JEL classification:

    • H25 - Public Economics - - Taxation, Subsidies, and Revenue - - - Business Taxes and Subsidies
    • L53 - Industrial Organization - - Regulation and Industrial Policy - - - Enterprise Policy
    • 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

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