IDEAS home Printed from https://ideas.repec.org/a/taf/reroxx/v36y2023i3p2271033.html
   My bibliography  Save this article

Research on the impact of digital economy on industrial green total factor productivity—analysis based on Chinese provinces

Author

Listed:
  • Qingxin Lan
  • Wan Tang

Abstract

Against the background of booming digital economy growth and the perspective of industrial green transformation, this article empirically evaluates the impact of digital economy on industrial green total factor productivity (GTFP) based on provincial-level panel data in China from 2010 to 2020. First, this article calculates the digital economy index (DEI) and industrial GTFP, analyzes the regional development characteristics of the two, and finds that the growth of digital economy and industrial GTFP is unbalanced, basically showing the east high and west low distribution. Then, empirically examines the impact of digital economy on industrial GTFP and finds that digital economy can significantly improve industrial GTFP, with obvious regional variability. Finally, the threshold model regression reveals that this promotion effect has a threshold effect, which gradually weakened as the DEI value crosses the corresponding threshold value.

Suggested Citation

  • Qingxin Lan & Wan Tang, 2023. "Research on the impact of digital economy on industrial green total factor productivity—analysis based on Chinese provinces," Economic Research-Ekonomska Istraživanja, Taylor & Francis Journals, vol. 36(3), pages 2271033-227, December.
  • Handle: RePEc:taf:reroxx:v:36:y:2023:i:3:p:2271033
    DOI: 10.1080/1331677X.2023.2271033
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/1331677X.2023.2271033
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/1331677X.2023.2271033?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 search 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:reroxx:v:36:y:2023:i:3:p:2271033. 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/rero .

    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.