IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-734-2_66.html

Digital Industry Agglomeration, Green Technology Innovation and Carbon Productivity

In: Proceedings of the 2025 10th International Conference on Social Sciences and Economic Development (ICSSED 2025)

Author

Listed:
  • Fang Wang

    (Wuhan University of Technology, School of Economics
    Wuhan University of Technology, Hubei Provincial Research Center for Scientific & Technological Innovation and Economic Development)

  • Sirui Peng

    (Wuhan University of Technology, School of Economics)

Abstract

The synergistic development of digitalization and greening represents an inescapable option for propelling the advancement of economy and society. Using the panel data of 30 provinces spanning from 2010 to 2021 in China, this research conducts the effect and path of digital industrial agglomeration on carbon productivity from a multi-dimensional perspective. The study reveals that a non-linear inverted U-shaped correlation exists between digital industrial agglomeration and carbon productivity. The threshold effect test indicates that once the level of green technology innovation surpasses a specific threshold, the agglomeration of digital industries exerts a positive influence on carbon productivity. The research results hold substantial practical importance for the effective utilization of digital industrial agglomeration to empower efficiency-enhancing carbon reduction.

Suggested Citation

  • Fang Wang & Sirui Peng, 2025. "Digital Industry Agglomeration, Green Technology Innovation and Carbon Productivity," Advances in Economics, Business and Management Research, in: Huaping Sun & Hang Luo & Vilas Gaikar & Natālija Cudečka-Puriņa (ed.), Proceedings of the 2025 10th International Conference on Social Sciences and Economic Development (ICSSED 2025), pages 601-608, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-734-2_66
    DOI: 10.2991/978-94-6463-734-2_66
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:advbcp:978-94-6463-734-2_66. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.