IDEAS home Printed from https://ideas.repec.org/a/oup/cjrecs/v18y2025i1p111-130..html
   My bibliography  Save this article

Integrating artificial intelligence into regional technological domains: the role of intra- and extra-regional AI relatedness

Author

Listed:
  • Yijia Chen
  • Kangmin Wu

Abstract

Artificial intelligence (AI) is a key driver of the Fourth Industrial Revolution. Despite growing interest in the geography of AI, our understanding of how AI integrates into regional contexts remains limited. In response, we examine the integration of AI into regional technological domains in China using patent data. Theoretically, we develop a framework by introducing the concepts of intra- and extra-regional AI relatedness. Our findings reveal that the integration of AI into regional technological domains is positively associated with both intra-regional and extra-regional AI relatedness. Additionally, extra-regional AI relatedness can moderate the lack of intra-regional AI relatedness. Finally, we use the USA as a robustness check, which further validates our findings.

Suggested Citation

  • Yijia Chen & Kangmin Wu, 2025. "Integrating artificial intelligence into regional technological domains: the role of intra- and extra-regional AI relatedness," Cambridge Journal of Regions, Economy and Society, Cambridge Political Economy Society, vol. 18(1), pages 111-130.
    • Handle: RePEc:oup:cjrecs:v:18:y:2025:i:1:p:111-130.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/cjres/rsae041
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

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

    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:oup:cjrecs:v:18:y:2025:i:1:p:111-130.. 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: Oxford University Press (email available below). General contact details of provider: https://academic.oup.com/cjres .

    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.