Artificial Intelligence and Carbon Emissions of Manufacturing Enterprises in China

We examine the relationship between artificial intelligence application and carbon emissions of Chinese manufacturing enterprises. We find that artificial intelligence can suppress the carbon emission intensity of manufacturing enterprises. A one-unit increase in AI leads to an average decline of 0.009 units in carbon emission intensity. Specifically, artificial intelligence boosts corporate green innovation, total factor productivity and analyst supervision among manufacturing enterprises, thereby curbing their corporate carbon emission intensity. Heterogeneity analysis indicates that the inhibitory effect of artificial intelligence is more significant in state-owned enterprises, polluting enterprises, and enterprises with financing constraints. Overall, we offer policy implications for developing countries to balance industrialization progress and climate responsibilities.

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Publication Details

Journal
Sustainability
Published
2026-07-28
DOI
https://doi.org/10.3390/su18157645
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial Intelligence and Carbon Emissions of Manufacturing Enterprises in China

Guangfan Sun, Jingjing Zhang, Liqing Huang
Sustainability
Energy, Environment, Economic Growth
article

Artificial Intelligence and Carbon Emissions of Manufacturing Enterprises in China

Guangfan Sun, Jingjing Zhang, Liqing Huang
article en

Abstract

We examine the relationship between artificial intelligence application and carbon emissions of Chinese manufacturing enterprises. We find that artificial intelligence can suppress the carbon emission intensity of manufacturing enterprises. A one-unit increase in AI leads to an average decline of 0.009 units in carbon emission intensity. Specifically, artificial intelligence boosts corporate green innovation, total factor productivity and analyst supervision among manufacturing enterprises, thereby curbing their corporate carbon emission intensity. Heterogeneity analysis indicates that the inhibitory effect of artificial intelligence is more significant in state-owned enterprises, polluting enterprises, and enterprises with financing constraints. Overall, we offer policy implications for developing countries to balance industrialization progress and climate responsibilities.

SustainabilityVol. 18(15)
Northwestern Polytechnical University (CN), Development Research Center (CN), Renmin University of China (CN)
Openalex Percentile: Top 4%
Energy, Environment, Economic Growth
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