Can artificial intelligence improve enterprise environmental performance: Evidence from China

中国 业务 工程类 环境资源管理 计算机科学 环境科学 地理 考古
作者
Junkai Wang,Andong Wang,Kaijie Luo,Yaoxiang Nie
出处
期刊:Journal of Environmental Management [Elsevier]
卷期号:370: 123079-123079 被引量:35
标识
DOI:10.1016/j.jenvman.2024.123079
摘要

Artificial intelligence needs to be embraced urgently by enterprises as a means to achieve green development and address the efficiency quagmire in the context of green, low-carbon and sustainable development. To estimate a corporation's pioneering progress in artificial intelligence, this paper outlines the use of web-crawling procedures to capture company related terms within yearly reports by exploring the approaches adapted to Artificial intelligence. Based on data from Chinese listed companies from 2010 to 2021, this paper empirically explores the impact and mechanism of artificial intelligence on corporate environmental performance. The results illustrate that firms' ecological performance can be greatly enhanced by the artificial intelligence with this idea remaining valid following various checks for determination strength. The results from mechanism-based assessment indicate that implementation of AI in businesses is useful for promoting green innovation process while mitigating financial risks that influences corporate environmental performance positively. The correlation between artificial intelligence and environmental performance is stronger concerning state ownership, heavily polluting, and stringent environmental regulation of firms according to heterogeneity analysis. The research shows the way that artificial intelligence affects ecosystems, alongside its mechanisms, fosters a new perspective upon artificial intelligence and environmental excellence.
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