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Research on derivative effects created by Japanese national R&D projects

Author

Listed:
  • Sayaka Shishido
  • Masaru Yamashita
  • Junichi Yoshida
  • Mitsuru Takeshita

Abstract

Through questionnaire surveys, it has been found that the effects of derivative technologies created in Japan through national projects tend to increase or decrease depending on the maturity of the technology developed, its relevance in the market, and the degree to which it is similar to the market it was derived for, among other factors. This article discusses case studies on fundamental research and development projects for the application of supercritical fluids. Our findings demonstrate that the disclosure of results-related information such as property and process simulations, the construction of a fundamental engineering database, and in-situ measurements, all of which were obtained after the projects ended, combined with information on research methods and engineering conditions related to the technologies concerned, contribute to significant continued effects. These include enabling new market players, who are driven by rapid changes in the external environment such as the market demands for specific products and the improvement of peripheral technologies that complement core technologies and environmental regulation, to participate in the development of practical applications and to continue to improve the efficiency of processes generated from the development of these applications to their commercialization as new products in their respective market sectors. Copyright The Author 2012. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oup.com, Oxford University Press.

Suggested Citation

  • Sayaka Shishido & Masaru Yamashita & Junichi Yoshida & Mitsuru Takeshita, 2012. "Research on derivative effects created by Japanese national R&D projects," Research Evaluation, Oxford University Press, vol. 21(5), pages 344-353, October.
    • Handle: RePEc:oup:rseval:v:21:y:2012:i:5:p:344-353
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    File URL: http://hdl.handle.net/10.1093/reseval/rvs029
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    Cited by:

    1. Aleksandra Bezborodova & Yuri Mihalenok, 2015. "Analysis of the monetary policy transmission mechanism in the Republic of Belarus: Bayesian approach (in Russian)," Quantile, Quantile, issue 13, pages 41-61, May.
    2. Kim, Eungdo & Kim, Soyoung & Kim, Hongbum, 2017. "Development of an evaluation framework for publicly funded R&D projects: The case of Korea's Next Generation Network," Evaluation and Program Planning, Elsevier, vol. 63(C), pages 18-28.

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