The Impact of Controversial Events on Corporate Resilience: The Chain-Mediating Role of ESG and Value-at-Risk

In volatile economic environments, corporate resilience is a prerequisite for sustainable development. This study explores the non-linear impact of controversial events on corporate resilience using a sample of 4430 listed Chinese firms from 2018 to 2023. By applying the Double Machine Learning (DML) framework and Generalized Additive Models (GAMs), we uncover a distinct non-linear effect: mild controversies act as “stress tests” enhancing resilience, while severe events diminish it. Furthermore, we validate a novel “Controversial Events→ESG→VaR→Resilience” chain-mediating mechanism, where ESG improvements translate into reduced financial tail risk (VaR). Theoretically, this research bridges the gap between non-financial performance and financial risk management, while methodologically overcoming linear model limitations by pinpointing crisis “tipping points”. Practically, the findings imply that managers should prioritize ESG disclosure as a strategic “risk buffer” to stabilize market expectations. For policymakers and investors, the study suggests that regulatory frameworks and capital allocation strategies must account for the non-linear dynamics of controversies to foster long-term sustainability.

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Publication Details

Journal
Sustainability
Published
2025-12-09
DOI
https://doi.org/10.3390/su172411032
Citations
1
Primary Topic
Corporate Social Responsibility Reporting
Type
article
Field-Weighted Citation Impact
2.23
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article

The Impact of Controversial Events on Corporate Resilience: The Chain-Mediating Role of ESG and Value-at-Risk

Derek Wang, Jie Zhang
1 citations
Sustainability
Corporate Social Responsibility Reporting
2.23
article

The Impact of Controversial Events on Corporate Resilience: The Chain-Mediating Role of ESG and Value-at-Risk

Derek Wang, Jie Zhang
article en
1 citations

Abstract

In volatile economic environments, corporate resilience is a prerequisite for sustainable development. This study explores the non-linear impact of controversial events on corporate resilience using a sample of 4430 listed Chinese firms from 2018 to 2023. By applying the Double Machine Learning (DML) framework and Generalized Additive Models (GAMs), we uncover a distinct non-linear effect: mild controversies act as “stress tests” enhancing resilience, while severe events diminish it. Furthermore, we validate a novel “Controversial Events→ESG→VaR→Resilience” chain-mediating mechanism, where ESG improvements translate into reduced financial tail risk (VaR). Theoretically, this research bridges the gap between non-financial performance and financial risk management, while methodologically overcoming linear model limitations by pinpointing crisis “tipping points”. Practically, the findings imply that managers should prioritize ESG disclosure as a strategic “risk buffer” to stabilize market expectations. For policymakers and investors, the study suggests that regulatory frameworks and capital allocation strategies must account for the non-linear dynamics of controversies to foster long-term sustainability.

SustainabilityVol. 17(24)
Capital University of Economics and Business (CN)
Openalex Percentile: Top 8%
Corporate Social Responsibility Reporting
2.23
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