清洁生产
中国
生产力
环境污染
业务
可持续发展
生产(经济)
经验证据
环境经济学
产业组织
经济
工程类
经济增长
微观经济学
环境科学
环境保护
城市固体废物
生态学
政治学
废物管理
哲学
认识论
生物
法学
作者
Kai Cheng,Zhuiqiao Jin,Guo Wu
标识
DOI:10.1016/j.jclepro.2024.140934
摘要
Motivated by the emerging prospects regarding the integration of artificial intelligence (AI) and cleaner production, we specifically examine the role of AI in affecting enterprises' environmental performance. Based on a theoretical model and firm-level empirical evidence from China, we reveal that: (1) AI significantly reduces pollution emission intensity and enhances the environmental performance of Chinese enterprises; (2) The key mechanisms driving the effects are the improvement of total factor productivity, the increase in fixed investments dedicated to pollution reduction, and the optimization of factor input structure; (3) These effects are more pronounced in enterprises with stronger environmental restriction, higher factor intensity, and lower financing constraints. As enterprises strive to adopt more sustainable practices, our findings not only showcase how AI becomes a linchpin for achieving cleaner production goals while also serving as a foundation for informed policymaking in the pursuit of environmental responsibility.
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