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.
Authors
- Man Jin (ORCID: https://orcid.org/0000-0002-3418-3517)
- Wenju Yang
Institutions
- Chongqing Technology and Business University (CN)
- Chongqing Medical and Pharmaceutical College (CN)
- Chaohu University (CN)
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