IDEAS home Printed from https://ideas.repec.org/a/eee/reveco/v92y2024icp261-274.html
   My bibliography  Save this article

Whether green credit is effecitve: a study based on stock market

Author

Listed:
  • Lin, Boqiang
  • Pan, Ting

Abstract

Many environmental policies have achieved good pollution control results by using a financial market approach, but whether or not an effective green credit policy can play an effective role in the financial market has not been proved. Due to the information asymmetry problem which exists between investors and enterprises in the financial market, and the “Green Credit Guidelines” outlined in 2012, this article builds a signal game model. It uses the short-term event study method to examine whether green credit affects abnormal stock returns, and discusses the enterprises' and investors' selection mechanism strategy and influencing factors. The results show that green credit policy will cause green enterprise stock prices and yields to rise, while polluting enterprises stock and yields will fall while investors’ behaviour moderates the relationship between them. Thus, environmental information disclosure, financing constraints, and environmental expenditure forms the primary mechanism, as enterprise ownership and environmental law enforcement have differential effects. The research results help expand the relevant research on the impact of environmental information asymmetry on market efficiency. The results also provide targeted policy suggestions, giving full play to the role of green credit policies in financial markets and promoting the implementation of a green credit policy.

Suggested Citation

  • Lin, Boqiang & Pan, Ting, 2024. "Whether green credit is effecitve: a study based on stock market," International Review of Economics & Finance, Elsevier, vol. 92(C), pages 261-274.
  • Handle: RePEc:eee:reveco:v:92:y:2024:i:c:p:261-274
    DOI: 10.1016/j.iref.2024.02.020
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1059056024000923
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.iref.2024.02.020?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:reveco:v:92:y:2024:i:c:p:261-274. 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/inca/620165 .

    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.