[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/a/taf/ecinnt/v33y2024i5p647-671.html
   My bibliography  Save this article

The value of Indian patents: an empirical analysis using citation lags approach

Author

Listed:
  • Mohammad Danish
  • Ruchi Sharma
Abstract
Our study examines whether the growth in patenting activity in India, spurred by policy changes such as the Agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPs), is reflected in a corresponding increase in the ‘quality’ of Indian patents. To investigate this, we utilise 6,777 Indian patent data granted by the United States Patent and Trademark Office (USPTO), which were filed between 1984 and 2015. Using the Cox regression methodology and citation lag as a measure, we evaluate the value of Indian patents at inventor, firm, and technology levels. At the inventor level, we find patents with the first US inventor have a shorter citation lag, indicating a higher patent value than those with the first Indian inventor. Similarly, among assignees, the subsidiaries of foreign firms tend to have a higher patent value than other assignees, including Indian firms, institutions, and universities. At the technology level, we find that patents in electrical engineering are more valuable than those in other categories, including chemistry, mechanical engineering, instruments, and other fields. Furthermore, our empirical findings support an overall increasing value of Indian patents in more recent filings, as the study demonstrates a declining citation lag trend of newly filed patents.

Suggested Citation

  • Mohammad Danish & Ruchi Sharma, 2024. "The value of Indian patents: an empirical analysis using citation lags approach," Economics of Innovation and New Technology, Taylor & Francis Journals, vol. 33(5), pages 647-671, July.
  • Handle: RePEc:taf:ecinnt:v:33:y:2024:i:5:p:647-671
    DOI: 10.1080/10438599.2023.2205137
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10438599.2023.2205137
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10438599.2023.2205137?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:taf:ecinnt:v:33:y:2024:i:5:p:647-671. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/GEIN20 .

    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.