IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v78y2025ics1544612325004404.html
   My bibliography  Save this article

On the corporate performance of issuers of various green assets

Author

Listed:
  • Piao, Xiaorui
  • Mei, Bin

Abstract

This study examines the corporate performance of green and brown asset issuers in China and the driving forces for the asset premium of green bonds, asset-backed securities (ABSs) and real estate investment trusts (REITs). Using quarterly data from 2016 to 2023 under a two-layered model structure, a significant positive impact is found on the corporate profitability of companies issuing green bonds and ABSs compared to brown securities, but insignificant results for green REITs. While green bonds help improve corporate performance, having green bonds and ABSs simultaneously is more conducive. A higher environmental, social, and governance (ESG) rating, an environmentally friendly issuer and an involvement in renewable energy or new energy vehicle businesses all have beneficial effects on the issuer's profitability regardless of the type of assets launched. Moreover, credit enhancement leads to a higher premium especially for corporate assets without a guarantee clause or frequent transactions. In summary, to boost the influence of green assets, companies should improve their ESG rating and green reputation, and the government should advance research and promotion of green financial instruments, improve information disclosure and risk evaluation, and advocate the renewable energy and new energy vehicle sectors.

Suggested Citation

  • Piao, Xiaorui & Mei, Bin, 2025. "On the corporate performance of issuers of various green assets," Finance Research Letters, Elsevier, vol. 78(C).
  • Handle: RePEc:eee:finlet:v:78:y:2025:i:c:s1544612325004404
    DOI: 10.1016/j.frl.2025.107177
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612325004404
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2025.107177?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.

    More about this item

    Keywords

    Climate change; Corporate finance; Green financing; Panel data; Regression analysis;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G3 - Financial Economics - - Corporate Finance and Governance

    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:eee:finlet:v:78:y:2025:i:c:s1544612325004404. 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.