中国人口·资源与环境2026，Vol.36Issue(8)：1-16,16.DOI:10.12062/cpre.20251219
人工智能赋能制造业企业绿色转型:机制与非线性特征
Artificial intelligence empowering green transformation of manufacturing enterprises:mechanisms and nonlinear characteristics
摘要
Abstract
Promoting the green transformation of the manufacturing sector is of great significance for achieving the"dual carbon"goals and promoting high-quality economic and social development.Based on the three dimensions of green innovation,efficiency optimiza-tion,and environmental performance,this study constructed a comprehensive index of corporate green transformation.Using data from listed manufacturing firms from 2010 to 2023,it systematically examined the impact of artificial intelligence(AI)development on corpo-rate green transformation.The results showed that:(1)AI could promote the green transformation of manufacturing firms,and this con-clusion remained valid after a series of robustness tests.(2)Mechanism tests indicated that AI promoted corporate green transformation by alleviating financing constraints,optimizing the human capital structure,and enhancing management capability.(3)Heterogeneity analysis showed that the driving effect of AI on corporate green transformation was more pronounced in large enterprises,state-owned enterprises,and firms located in regions with stronger environmental regulation.(4)Further analysis revealed that the impact of AI on corporate green transformation exhibited a nonlinear pattern characterized by increasing marginal effects.From the perspective of three sub-dimensions,AI also exhibited increasing marginal effects in the dimensions of green innovation and efficiency optimization,where-as in the dimension of environmental performance,it showed a pattern of promotion followed by inhibition.(5)Taking data assets as a moderating variable,this study further examined their impact on the nonlinear relationship between AI and green transformation.The results showed that,as data assets increased,the impact of AI on green transformation evolved sequentially through five states:an initial inhibiting-then-promoting effect,a positive promoting effect with increasing marginal effects,a linear promoting effect,a positive pro-moting effect with decreasing marginal effects,and a promoting-then-inhibiting effect.Based on the above findings,this study proposes the following policy recommendations:(1)promote the deep integration of AI with the manufacturing sector so as to advance the intelli-gent and green development of manufacturing;(2)fully leverage the enabling role of AI in alleviating financing constraints,optimizing the human capital structure,and enhancing management capability so as to support corporate green transformation;(3)adopt differenti-ated support strategies that take into account firm characteristics and the stage of AI development;and(4)fully tap the potential of data assets and strengthen digital infrastructure construction.关键词
人工智能/绿色转型/绿色创新/效率优化/环境绩效Key words
artificial intelligence/green transformation/green innovation/efficiency optimization/environmental performance分类
资源环境引用本文复制引用
石建勋,辛沛远..人工智能赋能制造业企业绿色转型:机制与非线性特征[J].中国人口·资源与环境,2026,36(8):1-16,16.基金项目
国家社会科学基金重大专项课题(批准号:21VGQ005). （批准号:21VGQ005）
