Artificial intelligence and green transformation of manufacturing: Empirical evidence from the Yangtze River Economic Belt in China

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Authors: Huan Wen, Wenju Yang, Man Jin
Cited by: 1
References: 42

Abstract

Using panel data on 1739 listed manufacturing firms in 108 prefecture-level cities along the Yangtze River Economic Belt from 2010 to 2023, this study examines how artificial intelligence influences firm green transformation. Two-way fixed effects and difference-in-differences models are employed, and AI is measured through a three-dimensional framework of technologicalisation, integration, and assetisation. The results show that AI significantly promotes green transformation, and all three dimensions exert positive effects. Mechanism tests indicate that the effect operates through industrial upgrading, improved financing efficiency, and enhanced innovation capacity. Regional heterogeneity is pronounced, with the strongest impact observed in upstream areas. The findings imply that policies should strengthen AI-enabled green applications and improve the policy support system of the National Digital Economy Innovation Development Pilot Zones, with greater emphasis on application scenarios and digital infrastructure in upstream regions and on diffusion and adaptation in midstream and downstream regions.

Fields of Study & Subjects

Energy Environment Economic Growth Digital Transformation in Industry Economic and Technological Innovation

Publication details

Journal / source
Energy & Environment
Publisher
SAGE Publications
Publication date
9 February 2026
Language
EN