Artificial Intelligence, A New Engine for ESG Performance

In the past decade, AI has become a major catalyst for enhancing corporate ESG performance and realizing social value. Drawing on data from Chinese A-share listed companies (2010–2022) and theories like resource-based view, information processing, and internal control, this study examines how AI application boosts ESG outcomes. The findings show that AI substantially improves ESG performance, especially in companies with stronger digital infrastructure and operational capabilities. Heterogeneity analysis indicates AI most significantly elevates social responsibility (S), followed by governance (G), while its effect on environmental (E) performance is weaker. The impact is also more pronounced in non-manufacturing and private enterprises. These results offer guidance for companies integrating AI into ESG strategies and for policymakers seeking to align AI initiatives with sustainable development goals and differentiated policies.

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Publication Details

Journal
Highlights in Business Economics and Management
Published
2025-04-29
DOI
https://doi.org/10.54097/zzbe9583
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence, A New Engine for ESG Performance

Ruichen Xia
Highlights in Business Economics and Management
Big Data and Business Intelligence
article

Artificial Intelligence, A New Engine for ESG Performance

Ruichen Xia
article en

Abstract

In the past decade, AI has become a major catalyst for enhancing corporate ESG performance and realizing social value. Drawing on data from Chinese A-share listed companies (2010–2022) and theories like resource-based view, information processing, and internal control, this study examines how AI application boosts ESG outcomes. The findings show that AI substantially improves ESG performance, especially in companies with stronger digital infrastructure and operational capabilities. Heterogeneity analysis indicates AI most significantly elevates social responsibility (S), followed by governance (G), while its effect on environmental (E) performance is weaker. The impact is also more pronounced in non-manufacturing and private enterprises. These results offer guidance for companies integrating AI into ESG strategies and for policymakers seeking to align AI initiatives with sustainable development goals and differentiated policies.

Highlights in Business Economics and ManagementVol. 54
Southwestern University of Finance and Economics (CN)
Openalex Percentile: Top 64%
Big Data and Business Intelligence
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