Next Article in Journal
Integrated Planning and Scheduling of Charging Infrastructure for Battery Electric Buses Under Effective Capacity Uncertainty
Previous Article in Journal
Production Systems Configurations Considering Human–Machine Task Allocation
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

The Impact of Artificial Intelligence Application on Corporate ESG Performance: Evidence from Chinese A-Share Listed Firms

1
Business School, Qingdao University, Qingdao 266000, China
2
School of Management, Sanda University, Shanghai 201209, China
3
School of Economics and Management, Beihang University, Beijing 100191, China
*
Author to whom correspondence should be addressed.
Systems 2026, 14(7), 769; https://doi.org/10.3390/systems14070769
Submission received: 23 May 2026 / Revised: 23 June 2026 / Accepted: 1 July 2026 / Published: 2 July 2026
(This article belongs to the Topic Artificial Intelligence and Sustainable Development)

Abstract

The application of artificial intelligence (AI) and the improvement of environmental, social, and governance (ESG) performance have become important concerns for contemporary firms. Understanding whether AI can be effectively integrated into corporate ESG practices has significant implications for sustainable development. Using panel data from Chinese A-share listed firms from 2009 to 2025, this study empirically examines the effect of AI application on corporate ESG performance through a fixed-effects model. The results show that AI application significantly improves corporate ESG performance, indicating that firms with higher levels of AI adoption tend to achieve better ESG outcomes. The heterogeneity analysis further reveals that this effect varies according to firms’ technological intensity, industry pollution characteristics, and the strength of regional environmental regulation. Specifically, the positive effect of AI application is more pronounced among firms with lower technological intensity, firms operating in non-heavily polluting industries, and firms located in regions with stricter environmental regulation. The mediation analysis shows that AI application enhances ESG performance by promoting human capital upgrading and green technological innovation, thereby strengthening firms’ internal capabilities and technological foundations for sustainable development. This study contributes to the literature by integrating AI application and ESG-oriented sustainable development within a unified analytical framework.
Keywords: artificial intelligence; ESG performance; green innovation; technology intensity; environmental regulation artificial intelligence; ESG performance; green innovation; technology intensity; environmental regulation

Share and Cite

MDPI and ACS Style

Feng, H.; Shi, R.; Wang, Q. The Impact of Artificial Intelligence Application on Corporate ESG Performance: Evidence from Chinese A-Share Listed Firms. Systems 2026, 14, 769. https://doi.org/10.3390/systems14070769

AMA Style

Feng H, Shi R, Wang Q. The Impact of Artificial Intelligence Application on Corporate ESG Performance: Evidence from Chinese A-Share Listed Firms. Systems. 2026; 14(7):769. https://doi.org/10.3390/systems14070769

Chicago/Turabian Style

Feng, Haixia, Renbo Shi, and Qingjin Wang. 2026. "The Impact of Artificial Intelligence Application on Corporate ESG Performance: Evidence from Chinese A-Share Listed Firms" Systems 14, no. 7: 769. https://doi.org/10.3390/systems14070769

APA Style

Feng, H., Shi, R., & Wang, Q. (2026). The Impact of Artificial Intelligence Application on Corporate ESG Performance: Evidence from Chinese A-Share Listed Firms. Systems, 14(7), 769. https://doi.org/10.3390/systems14070769

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop