IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-752-6_35.html

Research on Sustainable Development Model under the combination of Green Finance and Innovation

In: Proceedings of 2025 2nd International Conference on Applied Economics, Management Science and Social Development (AEMSS 2025)

Author

Listed:
  • Fengkai Liu

    (Qingdao No. 9 High School)

Abstract

As a further development form of the financial system, green finance aims to guide the flow of funds to green enterprises through a variety of innovative tools to achieve industrial layout, and then accelerate the region to achieve sustainable development. In this context, deeply explore how green finance and innovation affect regional sustainable development, and put forward relevant policy recommendations, which has important strategic significance for improving the green financial system and promoting the transformation of sustainable development. Building on this foundation, the study opts for data from 30 provinces (including municipalities and autonomous regions) of China, ranging from 2012 to 2023. It employs the entropy method and the unexpected output-super efficiency SBM model to assess the overall development level and the sustainability efficiency of green finance in each area, thereby empirically examining the influence of green finance on sustainable development.

Suggested Citation

  • Fengkai Liu, 2025. "Research on Sustainable Development Model under the combination of Green Finance and Innovation," Advances in Economics, Business and Management Research, in: Jiye Hu & Huaping Sun & Au Yong Hui Nee & Paulo Batista (ed.), Proceedings of 2025 2nd International Conference on Applied Economics, Management Science and Social Development (AEMSS 2025), pages 333-342, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-752-6_35
    DOI: 10.2991/978-94-6463-752-6_35
    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:978-94-6463-752-6_35. 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.