Artificial intelligence technology application and corporate ESG performance—evidence from national pilot zones for artificial intelligence innovation and application

This study empirically examines the impact of artificial intelligence (AI) technology on corporate ESG performance using data from Chinese listed companies from 2011 to 2022 and a multi-period difference-in-differences (DID) model. The results reveal that AI significantly enhances overall corporate ESG performance by alleviating financing constraints, promoting green innovation, and strengthening information disclosure. These effects are particularly pronounced in the environmental (E) and governance (G) dimensions. Further analysis indicates that equity concentration, media attention, and data availability positively moderate the relationship between AI adoption and ESG performance. Based on these findings, this study suggests expanding AI application scenarios to facilitate the formulation of more targeted ESG strategies, deepen the integration of AI and ESG practices, and support high-quality economic development. The conclusions provide theoretical and empirical support for technology-driven corporate sustainable transformation.

Authors

Institutions

Publication Details

Journal
Frontiers in Artificial Intelligence
Published
2025-09-22
DOI
https://doi.org/10.3389/frai.2025.1643684
Citations
4
Primary Topic
Environmental Sustainability in Business
Type
article
Field-Weighted Citation Impact
8.29

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Artificial intelligence technology application and corporate ESG performance—evidence from national pilot zones for artificial intelligence innovation and application

Xi Tan, Hanjin Xie, J. S. Luo
4 citations
Frontiers in Artificial Intelligence
Environmental Sustainability in Business
8.29
article

Artificial intelligence technology application and corporate ESG performance—evidence from national pilot zones for artificial intelligence innovation and application

Xi Tan, Hanjin Xie, J. S. Luo
article en
4 citations

Abstract

This study empirically examines the impact of artificial intelligence (AI) technology on corporate ESG performance using data from Chinese listed companies from 2011 to 2022 and a multi-period difference-in-differences (DID) model. The results reveal that AI significantly enhances overall corporate ESG performance by alleviating financing constraints, promoting green innovation, and strengthening information disclosure. These effects are particularly pronounced in the environmental (E) and governance (G) dimensions. Further analysis indicates that equity concentration, media attention, and data availability positively moderate the relationship between AI adoption and ESG performance. Based on these findings, this study suggests expanding AI application scenarios to facilitate the formulation of more targeted ESG strategies, deepen the integration of AI and ESG practices, and support high-quality economic development. The conclusions provide theoretical and empirical support for technology-driven corporate sustainable transformation.

Frontiers in Artificial IntelligenceVol. 8
East China Jiaotong University (CN), Wuhan University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 3%
Environmental Sustainability in Business
8.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.