IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-598-0_63.html

Digital Finance, Government Policies and ESG Behavior Improvement of Small and Medium Enterprises - Based on Network Game Modeling

In: Proceedings of the 2024 3rd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2024)

Author

Listed:
  • Qin Liu

    (Wuhan University of Technology, School of Entrepreneurship)

  • Jingwen Yang

    (Wuhan University of Technology, School of Entrepreneurship)

Abstract

In order to alleviate the pressure of SMEs' green innovation costs and promote ESG behavior improvement, this study focuses on digital finance and government policies, and constructs a network game model with SMEs, financial institutions and the government as the main bodies. The simulation results show that: the government tax rebate coefficient directly promotes the improvement of SMEs' ESG behavior; the digital penetration rate of financial institutions has a significant contribution to the improvement of SMEs' ESG behavior; and the government's financial support for digital financial institutions also promotes the improvement of SMEs' ESG behavior.

Suggested Citation

  • Qin Liu & Jingwen Yang, 2024. "Digital Finance, Government Policies and ESG Behavior Improvement of Small and Medium Enterprises - Based on Network Game Modeling," Advances in Economics, Business and Management Research, in: Qiujing Wu & Songsong Liu & Guoliang Wang & Jia Li (ed.), Proceedings of the 2024 3rd International Conference on Public Service, Economic Management and Sustainable Development (PESD 2024), pages 590-597, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-598-0_63
    DOI: 10.2991/978-94-6463-598-0_63
    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:978-94-6463-598-0_63. 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.