Ark amidst floods: Evidence from personal credit at a Chinese bank
Sichong Chen,
Qiyuan Xu,
Jingjing Zeng and
Yunfeng Zhao
International Review of Financial Analysis, 2025, vol. 106, issue C
Abstract:
This paper investigates the impact of climate risks on banking, focusing on shifts in creditworthiness and the provision of personal credit in response to flood events. By combining unique branch-level personal lending data from a Chinese mega commercial bank with records of floods that triggered emergency interventions, we provide compelling evidence of increased delinquency rates attributable to flood-related shocks. However, bank branches located in regions with prior exposure to such events demonstrate adaptive resilience, leading to a lower propensity to loan delinquencies. Additionally, we reveal that Chinese banks are inclined to extend more loans to regions affected by flood events without a significant increase in credit spreads. Consequently, our study highlights the importance of reconciling corporate social responsibility with climate risk management within the banking sector.
Keywords: Bank; Personal lending; Floods; Climate adaptation; Corporate social responsibility (search for similar items in EconPapers)
JEL-codes: D14 G21 G32 G41 M14 Q54 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1057521925006015
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:finana:v:106:y:2025:i:c:s1057521925006015
DOI: 10.1016/j.irfa.2025.104514
Access Statistics for this article
International Review of Financial Analysis is currently edited by B.M. Lucey
More articles in International Review of Financial Analysis from Elsevier
Bibliographic data for series maintained by Catherine Liu ().