Artificial Intelligence Adoption and Corporate ESG Performance

ABSTRACT Based on the annual report of Chinese listed companies, we use machine learning methods to generate an artificial intelligence (AI) dictionary, and then construct firm‐level AI measurements. Our empirical findings suggest that the use of AI by companies can significantly improve their environmental, social, and governance (ESG) performance by alleviating the financing constraints, improving information transparency, and improving corporate innovation. Further, our heterogeneity analysis shows that the impact of the use of AI on firms' ESG performance is more pronounced in regions with highly developed factor markets, in asset‐intensive industries, and in industries characterized by high levels of competition. This paper contributes to the existing research on corporate ESG performance and provides a theoretical foundation for companies to advance the development and application of AI technology.

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Publication Details

Journal
Business Strategy and the Environment
Published
2025-07-01
DOI
https://doi.org/10.1002/bse.70032
Citations
9
Primary Topic
Impact of AI and Big Data on Business and Society
Type
article
Field-Weighted Citation Impact
18.96

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article

Artificial Intelligence Adoption and Corporate ESG Performance

Haowen Tian, Junkai Wang, Yue Cai
9 citations
Business Strategy and the Environment
Impact of AI and Big Data on Business and Society
18.96
article

Artificial Intelligence Adoption and Corporate ESG Performance

Haowen Tian, Junkai Wang, Yue Cai
article en
9 citations

Abstract

ABSTRACT Based on the annual report of Chinese listed companies, we use machine learning methods to generate an artificial intelligence (AI) dictionary, and then construct firm‐level AI measurements. Our empirical findings suggest that the use of AI by companies can significantly improve their environmental, social, and governance (ESG) performance by alleviating the financing constraints, improving information transparency, and improving corporate innovation. Further, our heterogeneity analysis shows that the impact of the use of AI on firms' ESG performance is more pronounced in regions with highly developed factor markets, in asset‐intensive industries, and in industries characterized by high levels of competition. This paper contributes to the existing research on corporate ESG performance and provides a theoretical foundation for companies to advance the development and application of AI technology.

Business Strategy and the EnvironmentVol. 34(7)
Australian National University (AU), Northwestern Polytechnical University (CN), Sichuan University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 1%
Impact of AI and Big Data on Business and Society
18.96
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Artificial Intelligence Adoption and Corporate ESG Performance — Haowen Tian, Junkai Wang, et al. · Business Strategy and the Environment (2025) | TGRS Research Map | TGRS