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

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.

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Publication Details

Journal
Energy & Environment
Published
2026-02-09
DOI
https://doi.org/10.1177/0958305x261418240
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Man Jin, Wenju Yang
Energy & Environment
Energy, Environment, Economic Growth
article

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

Man Jin, Wenju Yang
article en

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.

Energy & Environment
Chongqing Technology and Business University (CN), Chongqing Medical and Pharmaceutical College (CN), Chaohu University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 66%
Energy, Environment, Economic Growth
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