Author
Listed:
- Du, Jian
- Cui, Rongda
- Luo, Yi
- Zhen, Xinting
- Liu, Yang
Abstract
Amid deepening global climate governance and corporate environmental challenges, this study elevates climate risk management from passive compliance to proactive governance, examining its impact on corporate sustainability. Grounded in an integrated framework of upper echelons theory, institutional theory, and resource dependence theory, we analyze A-share listed companies in China from 2015 to 2023 to investigate the protective effect of CEO social networks on corporate climate risk and its boundary conditions. Using textual analysis of annual reports to measure climate risk exposure, we find that CEO social networks significantly reduce corporate climate risk. This protective effect remains robust after addressing endogeneity concerns and conducting rigorous sensitivity tests, including alternative variable measurements and fixed-effects specifications. However, we identify three critical boundary conditions. First, corporate carbon emission intensity positively moderates this relationship, with the protective effect being most pronounced in high-emission firms. Second, CEOs' overseas experience unexpectedly weakens the network effect, revealing a cognitive boundary. Third, regional environmental regulation intensity strengthens the network effect, demonstrating institutional reinforcement. Mechanism analysis shows that CEO social networks mitigate climate risk primarily through promoting corporate digital transformation. From a capital market perspective, high climate risk firms face financing differentiation: while attracting patient capital, they encounter exclusion from green finance, reflecting heterogeneous market assessment of climate risk. This study contributes by systematically examining the protective effect and multidimensional boundaries of CEO social networks, advancing theoretical understanding of formal and informal institutional interactions in environmental governance. Our findings offer practical insights for firms building climate resilience, investors identifying environmental risks, and regulators refining policy design, with direct implications for optimizing executive team composition and balancing capital structure in complex institutional environments.
Suggested Citation
Du, Jian & Cui, Rongda & Luo, Yi & Zhen, Xinting & Liu, Yang, 2026.
"The protective effect and boundary conditions of CEO social networks: Evidence from corporate climate risk,"
International Review of Economics & Finance, Elsevier, vol. 109(C).
Handle:
RePEc:eee:reveco:v:109:y:2026:i:c:s1059056026005083
DOI: 10.1016/j.iref.2026.105395
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:reveco:v:109:y:2026:i:c:s1059056026005083. 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.