IDEAS home Printed from https://ideas.repec.org/p/eti/dpaper/23015.html
   My bibliography  Save this paper

Measuring Science and Innovation Linkage Using Text Mining of Research Papers and Patent Information

Author

Listed:
  • Kazuyuki MOTOHASHI
  • Hitoshi KOSHIBA
  • Kenta IKEUCHI

Abstract

In this study, the text information of academic papers published by Japanese authors (about 1.7 million papers) and patents filed with the Japan Patent Office (about 12.3 million patents) since 1991 are used for analyzing the inter-relationship between science and technology. Specifically, a distributed representation vector using the title and abstract of each document is created, then neighboring documents to each are identified using the cosine similarity. A time trend and sector specific linkages within science and technology are identified by using the count of neighbor patents (papers) for each paper (patent). It is found that the science intensity of inventions (the number of neighbor papers for patents) increases over time, particularly for university/PRI patents and university-industry collaboration patents over the 30 years studied. As for university/PRI patents, the institutional reforms for the science sector (government laboratory incorporation in 2001 and national university incorporation in 2004) contributed to the interactions between science and technology. In contrast, the technology intensity of science (the number of neighbor patents by paper) decreases over time. It is also found that the technology intensity of life science papers is rather low, although they have a significant impact on subsequent patents. However, there are some scientific fields which are affected by technological developments, so that the state of science and innovation interactions is heterogenous across the fields.

Suggested Citation

  • Kazuyuki MOTOHASHI & Hitoshi KOSHIBA & Kenta IKEUCHI, 2023. "Measuring Science and Innovation Linkage Using Text Mining of Research Papers and Patent Information," Discussion papers 23015, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:23015
    as

    Download full text from publisher

    File URL: https://www.rieti.go.jp/jp/publications/dp/23e015.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Lissoni, Francesco & Montobbio, Fabio & Zirulia, Lorenzo, 2013. "Inventorship and authorship as attribution rights: An enquiry into the economics of scientific credit," Journal of Economic Behavior & Organization, Elsevier, vol. 95(C), pages 49-69.
    2. Goto, Akira & Motohashi, Kazuyuki, 2007. "Construction of a Japanese Patent Database and a first look at Japanese patenting activities," Research Policy, Elsevier, vol. 36(9), pages 1431-1442, November.
    3. Matt Marx & Aaron Fuegi, 2020. "Reliance on science: Worldwide front‐page patent citations to scientific articles," Strategic Management Journal, Wiley Blackwell, vol. 41(9), pages 1572-1594, September.
    4. Cassiman, Bruno & Veugelers, Reinhilde & Arts, Sam, 2018. "Mind the gap: Capturing value from basic research through combining mobile inventors and partnerships," Research Policy, Elsevier, vol. 47(9), pages 1811-1824.
    5. Arora, Ashish & Cohen, Wesley M. & Walsh, John P., 2016. "The acquisition and commercialization of invention in American manufacturing: Incidence and impact," Research Policy, Elsevier, vol. 45(6), pages 1113-1128.
    6. Magerman, Tom & Looy, Bart Van & Debackere, Koenraad, 2015. "Does involvement in patenting jeopardize one’s academic footprint? An analysis of patent-paper pairs in biotechnology," Research Policy, Elsevier, vol. 44(9), pages 1702-1713.
    7. Veugelers, Reinhilde & Wang, Jian, 2019. "Scientific novelty and technological impact," Research Policy, Elsevier, vol. 48(6), pages 1362-1372.
    8. Jeffrey Kuhn & Kenneth Younge & Alan Marco, 2020. "Patent citations reexamined," RAND Journal of Economics, RAND Corporation, vol. 51(1), pages 109-132, March.
    9. Sijie Feng, 2020. "The proximity of ideas: An analysis of patent text using machine learning," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-19, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yuhang Wang & Lei Pei & Jianjun Sun & Lele Kang, 2025. "Trace on both sides: a two-step text mining method to identify academic inventors’ patent–paper pairs," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(2), pages 833-860, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yuhang Wang & Lei Pei & Jianjun Sun & Lele Kang, 2025. "Trace on both sides: a two-step text mining method to identify academic inventors’ patent–paper pairs," Scientometrics, Springer;Akadémiai Kiadó, vol. 130(2), pages 833-860, February.
    2. Kenta IKEUCHI & Kazuyuki MOTOHASHI & Ryuichi TAMURA & Naotoshi TSUKADA, 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).
    3. Wang, Fang, 2024. "Does the recombination of distant scientific knowledge generate valuable inventions? An analysis of pharmaceutical patents," Technovation, Elsevier, vol. 130(C).
    4. Seokbeom Kwon & Jan Youtie & Alan Porter & Nils Newman, 2024. "How does regulatory uncertainty shape the innovation process? Evidence from the case of nanomedicine," The Journal of Technology Transfer, Springer, vol. 49(1), pages 262-302, February.
    5. Lorenzo Ardito & Roger Svensson, 2024. "Sourcing applied and basic knowledge for innovation and commercialization success," The Journal of Technology Transfer, Springer, vol. 49(3), pages 959-995, June.
    6. Carolin Haeussler & Henry Sauermann, 2016. "The Division of Labor in Teams: A Conceptual Framework and Application to Collaborations in Science," NBER Working Papers 22241, National Bureau of Economic Research, Inc.
    7. Choi, Jin-Uk & Lee, Chang-Yang, 2022. "The differential effects of basic research on firm R&D productivity: The conditioning role of technological diversification," Technovation, Elsevier, vol. 118(C).
    8. Higham, Kyle & de Rassenfosse, Gaétan & Jaffe, Adam B., 2021. "Patent Quality: Towards a Systematic Framework for Analysis and Measurement," Research Policy, Elsevier, vol. 50(4).
    9. Righi, Cesare & Cannito, Davide & Vladasel, Theodor, 2023. "Continuing patent applications at the USPTO," Research Policy, Elsevier, vol. 52(4).
    10. Kyle HIGHAM & Sadao NAGAOKA, 2022. "Language Barriers and the Speed of Knowledge Diffusion," Discussion papers 22074, Research Institute of Economy, Trade and Industry (RIETI).
    11. Mueller, Elisabeth & Boeing, Philipp, 2024. "Global influence of inventions and technology sovereignty," ZEW Discussion Papers 24-024, ZEW - Leibniz Centre for European Economic Research, revised 2024.
    12. Chen, Xi & Mao, Jin & Ma, Yaxue & Li, Gang, 2024. "The knowledge linkage between science and technology influences corporate technological innovation: Evidence from scientific publications and patents," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    13. Plantec, Quentin & Le Masson, Pascal & Weil, Benoît, 2021. "Impact of knowledge search practices on the originality of inventions: A study in the oil & gas industry through dynamic patent analysis," Technological Forecasting and Social Change, Elsevier, vol. 168(C).
    14. Joshua L. Krieger & Monika Schnitzer & Martin Watzinger, 2024. "Standing on the shoulders of science," Strategic Management Journal, Wiley Blackwell, vol. 45(9), pages 1670-1695, September.
    15. de Rassenfosse, Gaétan & Palangkaraya, Alfons, 2023. "Do patent pledges accelerate innovation?," Research Policy, Elsevier, vol. 52(5).
    16. Kwon, Seokbeom, 2022. "Interdisciplinary knowledge integration as a unique knowledge source for technology development and the role of funding allocation," Technological Forecasting and Social Change, Elsevier, vol. 181(C).
    17. Bing Li & Shiji Chen & Vincent Larivière, 2023. "Interdisciplinarity affects the technological impact of scientific research," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(12), pages 6527-6559, December.
    18. Crass, Dirk & Garcia Valero, Francisco & Pitton, Francesco & Rammer, Christian, 2016. "Protecting innovation through patents and trade secrets: Determinants and performance impacts for firms with a single innovation," ZEW Discussion Papers 16-061, ZEW - Leibniz Centre for European Economic Research.
    19. Hiroyasu Inoue & Eiichi Yamaguchi, 2017. "Evaluation of the Small Business Innovation Research Program in Japan," SAGE Open, , vol. 7(1), pages 21582440176, February.
    20. Silvia Dalla Fontana & Ramana Nanda, 2023. "Innovating to Net Zero: Can Venture Capital and Start-Ups Play a Meaningful Role?," Entrepreneurship and Innovation Policy and the Economy, University of Chicago Press, vol. 2(1), pages 79-105.

    More about this item

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O34 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Intellectual Property and Intellectual Capital

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eti:dpaper:23015. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: TANIMOTO, Toko (email available below). General contact details of provider: https://edirc.repec.org/data/rietijp.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.