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Measuring Science Intensity of Industry using Linked Dataset of Science, Technology and Industry

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  • IKEUCHI Kenta
  • MOTOHASHI Kazuyuki
  • TAMURA Ryuichi
  • TSUKADA Naotoshi

Abstract

This paper presents new indicators measuring the science intensity of industry in Japan, linking a scientific paper database (science), patent information (technology), and economic census data (industry). The new indicators reflect the interaction between science and industry, via academic patenting activities, which cannot be measured by an existing indicator of science linkage: non-patent literature (NPL) citations by patents. As the academic sector gets more involved in patenting activities, its scientific knowledge is being utilized by industries that are not categorized as science-based. Additionally, it was revealed that scientific knowledge has been increasingly used for industrial innovation over the last 10 years across all academic disciplines. Our study reiterates that public support of science is essential for industrial innovation.

Suggested Citation

  • IKEUCHI Kenta & MOTOHASHI Kazuyuki & TAMURA Ryuichi & TSUKADA Naotoshi, 2017. "Measuring Science Intensity of Industry using Linked Dataset of Science, Technology and Industry," Discussion papers 17056, Research Institute of Economy, Trade and Industry (RIETI).
    • Handle: RePEc:eti:dpaper:17056
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    Cited by:

    1. Ernest Miguelez & Julio Raffo & Christian Chacua & Massimiliano Coda-Zabetta & Deyun Yin & Francesco Lissoni & Gianluca Tarasconi, 2019. "Tied In: The Global Network of Local Innovation," WIPO Economic Research Working Papers 58, World Intellectual Property Organization - Economics and Statistics Division.
    2. Yasushi Hara & Akiyuki Tonogi & Konomi Tonogi, 2019. "Impact of R&D Activities on Pricing Behaviors with Product Turnover," Working Papers hal-02318466, HAL.
    3. Motohashi, Kazuyuki & Zhu, Chen, 2023. "Identifying technology opportunity using dual-attention model and technology-market concordance matrix," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    4. Ito, Keiko & Ikeuchi, Kenta & Criscuolo, Chiara & Timmis, Jonathan & Bergeaud, Antonin, 2023. "Global value chains and domestic innovation," Research Policy, Elsevier, vol. 52(3).
    5. YIN Deyun & MOTOHASHI Kazuyuki, 2018. "Inventor Name Disambiguation with Gradient Boosting Decision Tree and Inventor Mobility in China (1985-2016)," Discussion papers 18018, Research Institute of Economy, Trade and Industry (RIETI).
    6. Deyun Yin & Kazuyuki Motohashi & Jianwei Dang, 2020. "Large-scale name disambiguation of Chinese patent inventors (1985–2016)," Scientometrics, Springer;Akadémiai Kiadó, vol. 122(2), pages 765-790, February.
    7. MOTOHASHI Kazuyuki & KOSHIBA Hitoshi & IKEUCHI Kenta, 2021. "New Indicator of Science and Technology Inter-Relationship by Using Text Information of Research Articles and Patents in Japan," Discussion papers 21025, Research Institute of Economy, Trade and Industry (RIETI).
    8. HARA Yasushi & TONOGI Akiyuki & TONOGI Konomi, 2020. "Impact of R&D Activities on Pricing Behaviors with Product Turnover," Discussion papers 20006, Research Institute of Economy, Trade and Industry (RIETI).
    9. Byeongwoo Kang & Kazuyuki Motohashi, 2020. "Academic contribution to industrial innovation by funding type," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(1), pages 169-193, July.

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