IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v63y2024ics1544612324004318.html
   My bibliography  Save this article

From symbolic to substantive green innovation: How does ESG ratings optimize corporate green innovation structure

Author

Listed:
  • Zhang, Zhihe
  • Hou, Yufei
  • Li, Zixuan
  • Li, Mulin

Abstract

Green innovation, primarily substantive green innovation, is critical for improving corporate sustainable development. In contrast to existing literature, this paper examines how environment, society, and governance (ESG) optimizes corporate green innovation structure from an innovation motivation perspective. Based on A-share listed firms, this study reveals a significant enhancement of ESG ratings in corporate green innovation structure, verifying that ESG ratings can promote the shifting from symbolic to substantive green innovation. This impact operates mainly through the monitoring and incentive effects. This paper theoretically enriches the related research and emphasizes the necessity of ESG construction for sustainable development in emerging economies.

Suggested Citation

  • Zhang, Zhihe & Hou, Yufei & Li, Zixuan & Li, Mulin, 2024. "From symbolic to substantive green innovation: How does ESG ratings optimize corporate green innovation structure," Finance Research Letters, Elsevier, vol. 63(C).
  • Handle: RePEc:eee:finlet:v:63:y:2024:i:c:s1544612324004318
    DOI: 10.1016/j.frl.2024.105401
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612324004318
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2024.105401?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.

    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:eee:finlet:v:63:y:2024:i:c:s1544612324004318. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    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.