IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v87y2026ics0160791x26001806.html

Government data openness and firms’ interregional collaborative innovation

Author

Listed:
  • Li, Ding
  • Cao, Yuxuan

Abstract

Existing studies have mainly treated government data openness as an institutional arrangement for enhancing transparency and improving public governance, yet systematic micro-level evidence remains scarce on whether and how it affects the interregional collaborative innovation behavior of firms as micro-level innovation actors. This paper exploits the launch of local government data openness platforms in China as a quasi-natural experiment and uses panel data on Chinese A-share listed firms to identify the impact of government data openness on firms' interregional collaborative innovation through a staggered difference-in-differences approach. The results show that government data openness significantly promotes firms' interregional collaborative innovation, increasing the number of cross-city joint patent applications by 5.4% on average. Mechanism tests indicate that this effect operates mainly by alleviating spatiotemporal constraints and reducing institutional transaction costs. At the firm level, this paper reveals how government data openness shifts innovation collaboration from geographically proximate ties toward interregional linkages that place greater emphasis on knowledge complementarity, thereby enriching the micro-foundations of the formation of interregional collaborative innovation. At the same time, government data openness is not only a policy tool for enhancing transparency, but also a digital governance arrangement that reshapes innovation network structures, thereby extending the literature on institutional economics and digital governance.

Suggested Citation

  • Li, Ding & Cao, Yuxuan, 2026. "Government data openness and firms’ interregional collaborative innovation," Technology in Society, Elsevier, vol. 87(C).
  • Handle: RePEc:eee:teinso:v:87:y:2026:i:c:s0160791x26001806
    DOI: 10.1016/j.techsoc.2026.103391
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X26001806
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techsoc.2026.103391?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:teinso:v:87:y:2026:i:c:s0160791x26001806. 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: https://www.journals.elsevier.com/technology-in-society .

    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.