IDEAS home Printed from https://ideas.repec.org/a/bla/jecrev/v70y2019i3p308-330.html
   My bibliography  Save this article

Patent Statistics as an Innovation Indicator? Evidence from the Hard Disk Drive Industry

Author

Listed:
  • Mitsuru Igami
  • Jai Subrahmanyam

Abstract

We assess the usefulness of patent statistics as an indicator of innovation, using a direct measure of innovation in the hard disk industry (1976–1998). Three findings emerge: (i) patents “predict” innovations better than a random guess, and a simple refinement makes them more useful; (ii) conditional on actually innovating, conglomerates and larger firms patent more than specialised startups and smaller firms; and (iii) patent reforms seem to make the patent–innovation relationship nonstationary. These results suggest that researchers should use caution when comparing patents of different types of firms and across years.

Suggested Citation

  • Mitsuru Igami & Jai Subrahmanyam, 2019. "Patent Statistics as an Innovation Indicator? Evidence from the Hard Disk Drive Industry," The Japanese Economic Review, Japanese Economic Association, vol. 70(3), pages 308-330, September.
  • Handle: RePEc:bla:jecrev:v:70:y:2019:i:3:p:308-330
    DOI: 10.1111/jere.12234
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/jere.12234
    Download Restriction: no

    File URL: https://libkey.io/10.1111/jere.12234?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

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


    Cited by:

    1. Ventsislava Nikolova-Minkova, 2023. "Bulgarian and Foreign Patent Activity in Bulgaria and Bulgarian Patent Activity Abroad by Technological Areas and Fields for the Period 2010-2021," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 82-114.
    2. Yun Hou & I.P.L. Png & Xi Xiong, 2023. "When stronger patent law reduces patenting: Empirical evidence," Strategic Management Journal, Wiley Blackwell, vol. 44(4), pages 977-1012, April.
    3. Emerson G. Escolar & Yasuaki Hiraoka & Mitsuru Igami & Yasin Ozcan, 2019. "Mapping Firms' Locations in Technological Space: A Topological Analysis of Patent Statistics," Papers 1909.00257, arXiv.org, revised Mar 2022.
    4. Yuyu Chen & Mitsuru Igami & Masayuki Sawada & Mo Xiao, 2021. "Privatization and productivity in China," RAND Journal of Economics, RAND Corporation, vol. 52(4), pages 884-916, December.

    More about this item

    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:bla:jecrev:v:70:y:2019:i:3:p:308-330. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/jeaaaea.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.