Author
Listed:
- Wang, Lan
- Ding, Xinge
- Yang, Yudong
- Wu, Ruiyi
Abstract
While previous studies have explored the relationship between corporate environmental performance and bond financing costs, there remains a gap in understanding how different stakeholders influence the interpretation and effectiveness of environmental signals. This study adopts a multi-stakeholder signaling perspective to analyze the impact of corporate environmental performance on bond financing costs, considering the role of both internal and external stakeholders in shaping signal effectiveness. Using data from Chinese listed companies between 2012 and 2022, our findings show that corporate environmental performance serves as an effective signal to reduce bond financing cost. Four types of stakeholders in the signaling environment are identified as “signal moderators”. Specifically, CEO duality and supply chain concentration strengthen the effect of environmental performance on bond financing cost, while institutional investor preference and government-enterprise relationship weaken this effect. Moreover, mechanism analyses reveal that environmental performance reduces bond financing cost by improving operational efficiency and lowering financial risk. Heterogeneity analysis further indicates that this signaling effect is more pronounced in corporates operating in heavy-polluting industries, highly competitive markets, non-high-tech sectors, and those with low levels of carbon emission disclosure. By incorporating a multi-stakeholder signaling perspective, this study advances our understanding of green signal transmission and the signaling environment in bond markets.
Suggested Citation
Wang, Lan & Ding, Xinge & Yang, Yudong & Wu, Ruiyi, 2025.
"Corporate environmental performance and bond financing cost: A multi-stakeholder signaling perspective,"
International Review of Financial Analysis, Elsevier, vol. 106(C).
Handle:
RePEc:eee:finana:v:106:y:2025:i:c:s1057521925005666
DOI: 10.1016/j.irfa.2025.104479
Download full text from publisher
As the access to this document is restricted, you may want to
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:finana:v:106:y:2025:i:c:s1057521925005666. 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/620166 .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.