IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v102y2025ics105905602500526x.html
   My bibliography  Save this article

Design innovation and firm performance: Evidence from patent subtype analysis

Author

Listed:
  • Han, Zhenfu
  • Tang, Shiyu
  • Li, Zhuoran

Abstract

This paper investigates the differential impacts of various subtypes of design patents on firm financial performance, as measured by return on assets (ROA), using a panel dataset of 8671 firm-year observations from Chinese listed firms over the period 2017 to 2023. We disaggregate design innovation into four subtypes and construct a composite Design Index via principal component analysis. Employing both fixed effects and random effects panel regressions, we find that each design-innovation subtype, as well as the composite index, exerts a positive and statistically significant effect on ROA. Moreover, we demonstrate that sales growth mediates this relationship, suggesting that design innovation enhances asset productivity primarily through revenue expansion. Robustness checks using one-year lagged patent variables confirm the persistence of these effects and mitigate endogeneity concerns. Our findings highlight the strategic value of not only the volume but also the collaborative and temporal dimensions of design patenting in driving firm profitability.

Suggested Citation

  • Han, Zhenfu & Tang, Shiyu & Li, Zhuoran, 2025. "Design innovation and firm performance: Evidence from patent subtype analysis," International Review of Economics & Finance, Elsevier, vol. 102(C).
  • Handle: RePEc:eee:reveco:v:102:y:2025:i:c:s105905602500526x
    DOI: 10.1016/j.iref.2025.104363
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S105905602500526X
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2025.104363?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;

    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:eee:reveco:v:102:y:2025:i:c:s105905602500526x. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/620165 .

    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.