IDEAS home Printed from https://ideas.repec.org/a/taf/applec/v57y2025i59p10440-10453.html

Digital industry agglomeration, resource dependence and urban green economy efficiency

Author

Listed:
  • Guohai Jiang
  • Fuzhong Chen

Abstract

Under the background of booming global digital industries and green transformation, this study revisits the impact of digital industry agglomeration on urban green economy efficiency, focusing on the threshold effects of resource dependence. Taking 277 cities in China as an example, the results from spatial models indicate that when resource dependence is lower than a certain value, digital industry agglomeration improves urban green economy efficiency. However, once the degree of resource dependence crosses this threshold, digital industry agglomeration can’t enhance urban green economy efficiency significantly anymore. In addition, the estimated threshold value of resource dependence is higher in cities with stronger environmental regulation, higher green technological quality, and sounder digital infrastructure. Accordingly, this study recommends reducing the dependence of related industries on natural resources and improving environmental regulation, green technological quality, and digital infrastructure. This study is beneficial to explain those cities with developed digital industries and low green efficiency, and further explores how the threshold value of resource dependence changes with different situations, which addresses the shortcomings of existing research.

Suggested Citation

  • Guohai Jiang & Fuzhong Chen, 2025. "Digital industry agglomeration, resource dependence and urban green economy efficiency," Applied Economics, Taylor & Francis Journals, vol. 57(59), pages 10440-10453, December.
    • Handle: RePEc:taf:applec:v:57:y:2025:i:59:p:10440-10453
    DOI: 10.1080/00036846.2024.2429779
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/00036846.2024.2429779
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/00036846.2024.2429779?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

    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:applec:v:57:y:2025:i:59:p:10440-10453. 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/RAEC20 .

    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.