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Patent Information Disclosure and Market Reactions: Empirical investigation by using text-based novelty and impact indicators

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  • Jianwei DANG
  • Kazuyuki MOTOHASHI
  • Quihan ZHAO

Abstract

We examine how financial markets value patented innovation across disclosure stages in the pharmaceutical sector. Using U.S. patents from publicly listed firms, we construct text-based measures of technological novelty and early diffusion impact. Event-study regressions based on KPSS returns reveal that market reactions are already sizable at the stage of scientific publication for patent–paper pairs (PPPs) and are nearly as large at pre-grant publication as at the patent granting stage—challenging the grant-centric view of patent valuation. Stage-specific regressions show a marked shift in valuation logic: novelty is priced early, especially when peer-reviewed science certifies the invention, while impact becomes salient only once technical content and downstream reuse become observable at the patent publication or granting stage. In PPPs, novelty is strongly rewarded in early stages, but impact is not, suggesting that science-linked inventions follow a distinct valuation channel. These patterns are robust to stricter PPP-matching thresholds and alternative impact metrics. Our findings highlight that both when and what gets disclosed jointly shape the financial value of innovation.

Suggested Citation

  • Jianwei DANG & Kazuyuki MOTOHASHI & Quihan ZHAO, 2025. "Patent Information Disclosure and Market Reactions: Empirical investigation by using text-based novelty and impact indicators," Discussion papers 25097, Research Institute of Economy, Trade and Industry (RIETI).
  • Handle: RePEc:eti:dpaper:25097
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    1. Bryan Kelly & Dimitris Papanikolaou & Amit Seru & Matt Taddy, 2021. "Measuring Technological Innovation over the Long Run," American Economic Review: Insights, American Economic Association, vol. 3(3), pages 303-320, September.
    2. Manuel Trajtenberg, 1990. "A Penny for Your Quotes: Patent Citations and the Value of Innovations," RAND Journal of Economics, The RAND Corporation, vol. 21(1), pages 172-187, Spring.
    3. Pierre Azoulay & Joshua S Graff Zivin & Danielle Li & Bhaven N Sampat, 2019. "Public R&D Investments and Private-sector Patenting: Evidence from NIH Funding Rules," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(1), pages 117-152.
    4. Mansfield, Edwin, 1991. "Academic research and industrial innovation," Research Policy, Elsevier, vol. 20(1), pages 1-12, February.
    5. Grabowski, Henry, 2002. "Patents, Innovation and Access to New Pharmaceuticals," Working Papers 02-28, Duke University, Department of Economics.
    6. Murray, Fiona, 2002. "Innovation as co-evolution of scientific and technological networks: exploring tissue engineering," Research Policy, Elsevier, vol. 31(8-9), pages 1389-1403, December.
    7. Franzoni, Chiara & Scellato, Giuseppe, 2010. "The grace period in international patent law and its effect on the timing of disclosure," Research Policy, Elsevier, vol. 39(2), pages 200-213, March.
    8. Arts, Sam & Hou, Jianan & Gomez, Juan Carlos, 2021. "Natural language processing to identify the creation and impact of new technologies in patent text: Code, data, and new measures," Research Policy, Elsevier, vol. 50(2).
    9. Leonid Kogan & Dimitris Papanikolaou & Amit Seru & Noah Stoffman, 2017. "Technological Innovation, Resource Allocation, and Growth," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 132(2), pages 665-712.
    10. Fleming, Lee & Sorenson, Olav, 2001. "Technology as a complex adaptive system: evidence from patent data," Research Policy, Elsevier, vol. 30(7), pages 1019-1039, August.
    11. 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.
    12. Henry Grabowski, 2002. "Patents, Innovation and Access to New Pharmaceuticals," Journal of International Economic Law, Oxford University Press, vol. 5(4), pages 849-860, December.
    13. Dietmar Harhoff & Francis Narin & F. M. Scherer & Katrin Vopel, 1999. "Citation Frequency And The Value Of Patented Inventions," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 511-515, August.
    14. Harhoff, Dietmar & Scherer, Frederic M. & Vopel, Katrin, 2004. "Erratum to "Citations, family size, opposition and the value of patent rights" [Research Policy 32 (2003) 1343-1363]," Research Policy, Elsevier, vol. 33(2), pages 363-364, March.
    15. Ajay Agrawal & Rebecca Henderson, 2002. "Putting Patents in Context: Exploring Knowledge Transfer from MIT," Management Science, INFORMS, vol. 48(1), pages 44-60, January.
    16. Narin, Francis & Hamilton, Kimberly S. & Olivastro, Dominic, 1997. "The increasing linkage between U.S. technology and public science," Research Policy, Elsevier, vol. 26(3), pages 317-330, October.
    17. Ke, Qing, 2020. "Technological impact of biomedical research: The role of basicness and novelty," Research Policy, Elsevier, vol. 49(7).
    18. Ashish Arora & Sharon Belenzon & Lia Sheer, 2021. "Knowledge Spillovers and Corporate Investment in Scientific Research," American Economic Review, American Economic Association, vol. 111(3), pages 871-898, March.
    19. Jeon, Daeseong & Ahn, Joon Mo & Kim, Juram & Lee, Changyong, 2022. "A doc2vec and local outlier factor approach to measuring the novelty of patents," Technological Forecasting and Social Change, Elsevier, vol. 174(C).
    20. Roger Masclans & Sharique Hasan & Wesley M. Cohen, 2025. "Measuring the commercial potential of science," Strategic Management Journal, Wiley Blackwell, vol. 46(9), pages 2199-2236, September.
    21. Joshua Lerner, 1994. "The Importance of Patent Scope: An Empirical Analysis," RAND Journal of Economics, The RAND Corporation, vol. 25(2), pages 319-333, Summer.
    22. Matt Marx & Aaron Fuegi, 2022. "Reliance on science by inventors: Hybrid extraction of in‐text patent‐to‐article citations," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(2), pages 369-392, April.
    23. Deepak Hegde & Bhaven Sampat, 2015. "Can Private Money Buy Public Science? Disease Group Lobbying and Federal Funding for Biomedical Research," Management Science, INFORMS, vol. 61(10), pages 2281-2298, October.
    24. Tim Martens, 2023. "The disclosure function of the U.S. patent system: evidence from the PTDL program and extreme snowfall," Review of Accounting Studies, Springer, vol. 28(1), pages 237-264, March.
    25. Lee Fleming & Olav Sorenson, 2004. "Science as a map in technological search," Strategic Management Journal, Wiley Blackwell, vol. 25(8‐9), pages 909-928, August.
    26. Ugo Finardi, 2011. "Time relations between scientific production and patenting of knowledge: the case of nanotechnologies," Scientometrics, Springer;Akadémiai Kiadó, vol. 89(1), pages 37-50, October.
    27. Felix Poege & Dietmar Harhoff & Fabian Gaessler & Stefano Baruffaldi, 2019. "Science Quality and the Value of Inventions," Papers 1903.05020, arXiv.org, revised Apr 2019.
    28. Jean O. Lanjouw & Mark Schankerman, 2004. "Patent Quality and Research Productivity: Measuring Innovation with Multiple Indicators," Economic Journal, Royal Economic Society, vol. 114(495), pages 441-465, April.
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