Gangwani, Mayank
ORCID: https://orcid.org/0000-0001-8534-4918 and Kashiramka, Smita
(2026)
Interlinking Climate Risk, Systemic Risk, and ESG Disclosures Scores: Evidence From Emerging Market Economies.
Business Strategy and the Environment.
John Wiley and Sons Ltd
.
ISSN 0964-4733
(In Press)
Available at: https://doi.org/10.1002/bse.71332
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Abstract
This study examines the impact of climate risk on the systemic risk levels of commercial banks operating in emerging market economies (EMEs) and assesses whether the combined ESG disclosure score and its individual E, S, and G components moderate this relationship. We also examine the effects of heterogeneity based on bank size. Utilizing a panel dataset of 148 listed banks across the top 20 EMEs from 2015 to 2022, we employ Pooled Ordinary Least Squares and the two‐step System Generalized Method of Moments (GMM) to address endogeneity problems. The results indicate that climate risk significantly increases the banks' systemic risk levels in line with Natural Resource‐Based view, Climate Risk, and Environmental Risk Management Theory. It is also observed that an increase in ESG disclosure scores reduces the adverse impacts of climate risk on systemic risk, in accordance with Stakeholder and Legitimacy Theory. Moreover, the disaggregated analysis underscores the differential impact of the individual ESG pillars in lowering systemic vulnerability. Size‐based heterogeneity analysis demonstrates that climate risk has a greater systemic impact on larger banks, whereas the risk‐mitigating effect of ESG disclosure—particularly governance—is more prominent for systemically important institutions. The findings of this study contribute to the literature by presenting the first cross‐country evidence from EMEs on the buffering potential of ESG disclosures in the climate–systemic risk nexus, while also addressing the role of country‐level uncertainty. These findings remain consistent across several robustness checks such as alternate systemic risk measures, estimation techniques, alternative samples, and difference‐in‐difference (DiD) analysis. These findings have important implications for regulators, policymakers, and bank managers, notably in creating climate stress‐testing frameworks, improving disclosure regulations, and aligning capital requirements with climate and ESG‐related risks.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Climate change | Climate risk | Emerging market economies (EMEs) | ESG disclosure scores | Systemic risk level |
| Subjects: | Social Sciences and humanities > Economics, Econometrics and Finance > Banking and Finance Social Sciences and humanities > Economics, Econometrics and Finance > Economics |
| Depositing User: | Mr. Syed Anas Ali |
| Date Deposited: | 30 Jul 2026 04:40 |
| Last Modified: | 30 Jul 2026 04:40 |
| Official URL: | https://doi.org/10.1002/bse.71332 |
| URI: | https://pure.jgu.edu.in/id/eprint/12115 |
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