IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-268-2_42.html

Digital economy innovation, technological progress and Chinese industrial structure upgrading

In: Proceedings of the 2023 2nd International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2023)

Author

Listed:
  • Shuguang Feng

    (Harbin University of Commerce, School of Economics)

Abstract

Based on the panel data of 31 provinces in China from 2011 to 2020, this paper constructs a digital economy innovation system to measure the development level of digital economy innovation, and uses the mediation effect model to test the mechanism of digital economy innovation on industrial structure upgrading. The results show that: (1) there is a “U” shaped relationship between digital economy innovation and industrial structure rationalization, and an inverted “U” shaped relationship between digital economy innovation and industrial structure premiumization; (2) Digital economy innovation can significantly promote technological progress; (3) Digital economy innovation can promote the advanced industrial structure through technological progress, and does not have a significant transmission effect on the rationalization of the industrial structure. Based on this, the development of digital infrastructure should be coordinated in an overall manner, the construction of digital platforms should be promoted, and differentiated and flexible digital development policies should be formulated for different regions and industries.

Suggested Citation

  • Shuguang Feng, 2024. "Digital economy innovation, technological progress and Chinese industrial structure upgrading," Advances in Economics, Business and Management Research, in: Faruk Balli & Hui Nee Au Yong & Sikandar Ali Qalati & Ziqiang Zeng (ed.), Proceedings of the 2023 2nd International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2023), pages 386-394, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-268-2_42
    DOI: 10.2991/978-94-6463-268-2_42
    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:978-94-6463-268-2_42. 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.