ESG performance and corporate AI disclosure: evidence from Chinese listed firms

This study examines whether corporate ESG performance is associated with firms’ AI-related disclosure. Using 12,814 firm-year observations from Chinese A-share listed firms during 2020–2023, we construct two text-based indicators capturing whether firms articulate an AI strategy and disclose AI governance information in their ESG reports. Logistic regressions with year and industry fixed effects and firm-clustered standard errors show that overall ESG performance – and the governance pillar in particular – is positively and significantly associated with both disclosure outcomes. These associations are robust to one-year lagged specifications, propensity-score matching and Oster coefficient-stability bounds. The findings suggest that AI-related disclosure is embedded in firms’ broader sustainability reporting infrastructure, with positive associations observed for the environmental, social and governance pillars alike. This study contributes to the voluntary disclosure literature by developing firm-level measures of AI disclosure from ESG report text and by providing early evidence on the ESG–AI disclosure link in an emerging market, and by discussing conditional implications for investors, regulators and standard setters concerned with responsible AI reporting. Additional temporal analyses show that the ESG–AI disclosure association is substantially stronger during 2022–2023 than during 2020–2021.

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Publication Details

Journal
Applied Economics
Published
2026-09-28
DOI
https://doi.org/10.1080/00036846.2026.2737401
Primary Topic
Corporate Social Responsibility Reporting
Type
article
Field-Weighted Citation Impact
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article

ESG performance and corporate AI disclosure: evidence from Chinese listed firms

Xiaoying Du, Jaehyung Bark
Applied Economics
Corporate Social Responsibility Reporting
article

ESG performance and corporate AI disclosure: evidence from Chinese listed firms

Xiaoying Du, Jaehyung Bark
article en

Abstract

This study examines whether corporate ESG performance is associated with firms’ AI-related disclosure. Using 12,814 firm-year observations from Chinese A-share listed firms during 2020–2023, we construct two text-based indicators capturing whether firms articulate an AI strategy and disclose AI governance information in their ESG reports. Logistic regressions with year and industry fixed effects and firm-clustered standard errors show that overall ESG performance – and the governance pillar in particular – is positively and significantly associated with both disclosure outcomes. These associations are robust to one-year lagged specifications, propensity-score matching and Oster coefficient-stability bounds. The findings suggest that AI-related disclosure is embedded in firms’ broader sustainability reporting infrastructure, with positive associations observed for the environmental, social and governance pillars alike. This study contributes to the voluntary disclosure literature by developing firm-level measures of AI disclosure from ESG report text and by providing early evidence on the ESG–AI disclosure link in an emerging market, and by discussing conditional implications for investors, regulators and standard setters concerned with responsible AI reporting. Additional temporal analyses show that the ESG–AI disclosure association is substantially stronger during 2022–2023 than during 2020–2021.

Applied Economics
Hanbat National University (KR), Sehan University (KR)
Industry, innovation and infrastructure
Openalex Percentile: Top 7%
Corporate Social Responsibility Reporting
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ESG performance and corporate AI disclosure: evidence from Chinese listed firms — Xiaoying Du, Jaehyung Bark · Applied Economics (2026) | TGRS Research Map | TGRS