Artificial intelligence orientation and decarbonization spillovers: evidence from Chinese listed firms

Artificial intelligence (AI) is increasingly promoted as a solution to corporate decarbonization, yet concerns persist that it may simply shift emissions along the value chain. This study examines how firms’ artificial intelligence orientation (AIO) relates to carbon emission intensity within the focal firm and across connected firms. Using large language models, we measure the AIO level of Chinese listed companies from 2010 to 2023. We find that stronger AIO is associated with lower carbon emission intensity. We further show that AIO is negatively associated with the carbon emission intensity of industry peers and upstream suppliers. These effects are linked to improvements in green innovation quality. Heterogeneity analyses indicate that AIO’s decarbonization effects vary systematically across climate risk, industry competition, and AI exposure.

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Publication Details

Journal
Humanities and Social Sciences Communications
Published
2026-05-19
DOI
https://doi.org/10.1057/s41599-026-07655-5
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00
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article

Artificial intelligence orientation and decarbonization spillovers: evidence from Chinese listed firms

Humanities and Social Sciences Communications
Energy, Environment, Economic Growth
article

Artificial intelligence orientation and decarbonization spillovers: evidence from Chinese listed firms

article en

Abstract

Artificial intelligence (AI) is increasingly promoted as a solution to corporate decarbonization, yet concerns persist that it may simply shift emissions along the value chain. This study examines how firms’ artificial intelligence orientation (AIO) relates to carbon emission intensity within the focal firm and across connected firms. Using large language models, we measure the AIO level of Chinese listed companies from 2010 to 2023. We find that stronger AIO is associated with lower carbon emission intensity. We further show that AIO is negatively associated with the carbon emission intensity of industry peers and upstream suppliers. These effects are linked to improvements in green innovation quality. Heterogeneity analyses indicate that AIO’s decarbonization effects vary systematically across climate risk, industry competition, and AI exposure.

Humanities and Social Sciences Communications
Harbin Institute of Technology (CN)
Climate action
Openalex Percentile: Top 2%
Energy, Environment, Economic Growth
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