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The effect of participation in government consortia on the R&D productivity of firms: a case study of robot technology in Japan

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  • Sebastien Lechevalier
  • Yukio Ikeda
  • Junichi Nishimura

Abstract

This paper examines the effect of participation in government-sponsored R&D consortia on the R&D productivity of firms in the case of robot technology in Japan. We attempt to provide a new empirical analysis and discussions on the issue of government project evaluation by investigating the impact of the evolution of government programs, and to compare government-sponsored R&D consortia with collaborative R&D among firms. Using indicators of the quality of patents, which enables us to provide an estimation of quality-adjusted research productivity, we find that participation in government programs has a positive impact on the research productivity of participating firms. Moreover, the impact of participation became much higher after the design of government programs in this field changed in the late 1990s. Also, we find that participation in government-sponsored consortia has a greater impact on research productivity than participation in collaborative R&D among firms. This may support government involvement in R&D as a coordinator of R&D collaboration.

Suggested Citation

  • Sebastien Lechevalier & Yukio Ikeda & Junichi Nishimura, 2010. "The effect of participation in government consortia on the R&D productivity of firms: a case study of robot technology in Japan," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 19(8), pages 669-692.
    • Handle: RePEc:taf:ecinnt:v:19:y:2010:i:8:p:669-692
    DOI: 10.1080/10438590902872903
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    References listed on IDEAS

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    1. van Zeebroeck, Nicolas & van Pottelsberghe de la Potterie, Bruno & Guellec, Dominique, 2009. "Claiming more: the Increased Voluminosity of Patent Applications and its Determinants," Research Policy, Elsevier, vol. 38(6), pages 1006-1020, July.
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    Cited by:

    1. Abraham Garcia, 2011. "The European Research Framework Programme and innovation performance of companies. An empirical impact assessment using a CDM model," JRC Working Papers on Corporate R&D and Innovation 2011-07, Joint Research Centre.
    2. Bofinger, Peter & Geißendörfer, Lisa & Haas, Thomas & Mayer, Fabian, 2023. "Credit as an instrument for growth: A monetary explanation of the Chinese growth story," W.E.P. - Würzburg Economic Papers 107, University of Würzburg, Department of Economics.
    3. David, Benjamin, 2017. "Computer technology and probable job destructions in Japan: An evaluation," Journal of the Japanese and International Economies, Elsevier, vol. 43(C), pages 77-87.
    4. Hiroyuki Okamuro & Junichi Nishimura, 2015. "Not just financial support? Another role of public subsidy in university-industry research collaborations," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 24(7), pages 633-659, October.
    5. Sébastien Lechevalier & Pauline Debanes & Shin Wonkyu, 2016. "Financialization and industrial policies in Japan and Korea: Evolving complementarities and loss of institutional capabilities," Working Papers halshs-01431783, HAL.
    6. Lechevalier, Sébastien & Debanes, Pauline & Shin, Wonkyu, 2019. "Financialization and industrial policies in Japan and Korea: Evolving institutional complementarities and loss of state capabilities," Structural Change and Economic Dynamics, Elsevier, vol. 48(C), pages 69-85.
    7. Nishimura, Junichi & Okamuro, Hiroyuki, 2011. "Subsidy and networking: The effects of direct and indirect support programs of the cluster policy," Research Policy, Elsevier, vol. 40(5), pages 714-727, June.
    8. Lechevalier, Sébastien & Nishimura, Junichi & Storz, Cornelia, 2014. "Diversity in patterns of industry evolution: How an intrapreneurial regime contributed to the emergence of the service robot industry," Research Policy, Elsevier, vol. 43(10), pages 1716-1729.
    9. Benjamin David, 2015. "Computer technology and probable job destructions in Japan: an evaluation," EconomiX Working Papers 2015-28, University of Paris Nanterre, EconomiX.
    10. Zhou, Wei & Zhuang, Yan & Chen, Yan, 2024. "How does artificial intelligence affect pollutant emissions by improving energy efficiency and developing green technology," Energy Economics, Elsevier, vol. 131(C).
    11. 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

    Keywords

    industrial policy; robot technology; Japanese innovation system; collaborative R&D;
    All these keywords.

    JEL classification:

    • L24 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Contracting Out; Joint Ventures
    • L52 - Industrial Organization - - Regulation and Industrial Policy - - - Industrial Policy; Sectoral Planning Methods
    • L6 - Industrial Organization - - Industry Studies: Manufacturing
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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