Climate Risk Disclosure and Financial Analysts’ Forecasts: Evidence from China

This study examines whether climate risk disclosure (CRD) matters to financial analysts in China. Using textual analysis to measure CRD, we find that CRD is negatively related to analyst forecast error and dispersion, supporting the information hypothesis. We also find that information disclosure quality (e.g., earnings quality) and external monitoring (e.g., long-term institutional investor) may moderate this relationship. Mechanism analysis indicates that lower information asymmetry and more climate-related on-site visits are potential channels through which CRD influences analyst forecast properties. Furthermore, the above relationship is more pronounced in regions with higher climate awareness, carbon-intensive industries, and state-owned enterprises, and the relationship is primarily driven by transition risk disclosure (TCRD) rather than physical risk disclosure (PCRD). Our findings, which remain valid after addressing various robustness and endogeneity concerns, have significant implications for regulators to standardize and enhance CRD practices.

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Publication Details

Journal
Sustainability
Published
2025-04-03
DOI
https://doi.org/10.3390/su17073178
Citations
7
Primary Topic
Auditing, Earnings Management, Governance
Type
article
Field-Weighted Citation Impact
27.37

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article

Climate Risk Disclosure and Financial Analysts’ Forecasts: Evidence from China

Yaoyao Liu, Jie Han
7 citations
Sustainability
Auditing, Earnings Management, Governance
27.37
article

Climate Risk Disclosure and Financial Analysts’ Forecasts: Evidence from China

Yaoyao Liu, Jie Han
article en
7 citations

Abstract

This study examines whether climate risk disclosure (CRD) matters to financial analysts in China. Using textual analysis to measure CRD, we find that CRD is negatively related to analyst forecast error and dispersion, supporting the information hypothesis. We also find that information disclosure quality (e.g., earnings quality) and external monitoring (e.g., long-term institutional investor) may moderate this relationship. Mechanism analysis indicates that lower information asymmetry and more climate-related on-site visits are potential channels through which CRD influences analyst forecast properties. Furthermore, the above relationship is more pronounced in regions with higher climate awareness, carbon-intensive industries, and state-owned enterprises, and the relationship is primarily driven by transition risk disclosure (TCRD) rather than physical risk disclosure (PCRD). Our findings, which remain valid after addressing various robustness and endogeneity concerns, have significant implications for regulators to standardize and enhance CRD practices.

SustainabilityVol. 17(7)
Qingdao University of Science and Technology (CN), China University of Petroleum, East China (CN), Qingdao University of Technology (CN)
Natural Science Foundation of Shandong Province, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 1%
Auditing, Earnings Management, Governance
27.37
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