IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v85y2026ics0160791x26000163.html

Bridging the divide? Realizing urban-rural integrated development in the artificial intelligence era: Evidence from China

Author

Listed:
  • Wang, Shuyi
  • Yao, Hong
  • Mao, Zijun

Abstract

Urban-rural integrated development (URID) is vital for fostering sustainable economic growth and social stability. Therefore, whether Artificial Intelligence (AI) promotes or hinders this process is of great importance to both academics and policymakers. Using panel data for 277 cities in China from 2012 to 2021, this study examines the impact of AI on URID. The results show that AI significantly promotes URID: a 1-unit increase in the AI level corresponds to a 0.243-unit rise in URID. Grounded in Resource Orchestration Theory, this effect unpacks three primary channels: optimizing digital resource allocation, enhancing green innovation capabilities, and boosting entrepreneurial activity. Furthermore, the effect exhibits a significant positive spatial spillover. This research deepens the theoretical understanding of the relationship between AI and URID. It also provides a scientific basis for policies using smart technologies to promote the two-way flow of resources, empowering sustainable development across urban and rural areas.

Suggested Citation

  • Wang, Shuyi & Yao, Hong & Mao, Zijun, 2026. "Bridging the divide? Realizing urban-rural integrated development in the artificial intelligence era: Evidence from China," Technology in Society, Elsevier, vol. 85(C).
  • Handle: RePEc:eee:teinso:v:85:y:2026:i:c:s0160791x26000163
    DOI: 10.1016/j.techsoc.2026.103227
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X26000163
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techsoc.2026.103227?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:85:y:2026:i:c:s0160791x26000163. 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.