Artificial intelligence applications and corporate ESG performance

This study examines how artificial intelligence (AI) adoption impacts corporate environmental, social, and governance (ESG) performance, using panel data from 22,953 Chinese listed firm-year observations spanning 2011–2023. We find that AI adoption significantly improves overall ESG performance by boosting all three individual environmental, social, and governance pillars. However, this positive effect is heterogeneous, proving most pronounced in large firms and those in non-heavily polluting industries, highlighting important boundary conditions. Further mechanism analysis identifies two pivotal channels—green innovation and supply chain efficiency—through which AI enhances ESG outcomes. Additionally, digital transformation positively moderates this relationship, indicating that firms with greater digital maturity benefit more substantially from AI applications. This research integrates the Resource-Based View, stakeholder theory, and dynamic capabilities theory to deepen the theoretical understanding of technology-driven corporate sustainability. Findings provide nuanced guidance for policymakers and corporate leaders seeking to leverage AI technologies effectively to meet sustainability objectives while considering critical firm-level and industry contexts.

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Publication Details

Journal
International Review of Economics & Finance
Published
2025-08-29
DOI
https://doi.org/10.1016/j.iref.2025.104559
Citations
7
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
15.99

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article

Artificial intelligence applications and corporate ESG performance

Bingjun Zhou, Yangyan Liu, Jia Song, Jiangui Liu
7 citations
International Review of Economics & Finance
Big Data and Business Intelligence
15.99
article

Artificial intelligence applications and corporate ESG performance

Bingjun Zhou, Yangyan Liu, Jia Song, Jiangui Liu
article en
7 citations

Abstract

This study examines how artificial intelligence (AI) adoption impacts corporate environmental, social, and governance (ESG) performance, using panel data from 22,953 Chinese listed firm-year observations spanning 2011–2023. We find that AI adoption significantly improves overall ESG performance by boosting all three individual environmental, social, and governance pillars. However, this positive effect is heterogeneous, proving most pronounced in large firms and those in non-heavily polluting industries, highlighting important boundary conditions. Further mechanism analysis identifies two pivotal channels—green innovation and supply chain efficiency—through which AI enhances ESG outcomes. Additionally, digital transformation positively moderates this relationship, indicating that firms with greater digital maturity benefit more substantially from AI applications. This research integrates the Resource-Based View, stakeholder theory, and dynamic capabilities theory to deepen the theoretical understanding of technology-driven corporate sustainability. Findings provide nuanced guidance for policymakers and corporate leaders seeking to leverage AI technologies effectively to meet sustainability objectives while considering critical firm-level and industry contexts.

International Review of Economics & FinanceVol. 104
Guangxi University of Finance and Economics (CN), Yonsei University (KR), Guangxi Normal University (CN)
Jiangxi Science and Technology Normal University
Openalex Percentile: Top 1%
Big Data and Business Intelligence
15.99
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