Green innovation through artificial intelligence technology: Enhancing environmental, social, and governance performance
Min Weng
Finance Research Letters, 2025, vol. 75, issue C
Abstract:
This extensive research aims to ascertain the prevalence of artificial intelligence (AI) technology integration in publicly listed manufacturing firms in China from 2012 to 2022 by analyzing their annual reports using advanced supervised machine learning methodologies. Our thorough analysis rigorously scrutinizes the ramifications of such integration on the companies’ environmental, social, and governance (ESG) performance metrics. The findings are significant: the adoption of AI technology exerts a notably positive influence on ESG performance, with green innovation emerging as a critical intermediary in this correlation.
Keywords: Artificial intelligence technology; ESG performance; Green innovation (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1544612325001850
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:75:y:2025:i:c:s1544612325001850
DOI: 10.1016/j.frl.2025.106921
Access Statistics for this article
Finance Research Letters is currently edited by R. Gençay
More articles in Finance Research Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().