Supply chain decarbonisation effects of artificial Intelligence: Evidence from China

Baoping Ren, Zhaoxuan Qiu and Bei Liu

International Review of Economics & Finance, 2025, vol. 101, issue C

Abstract: Existing studies have not yet discussed the synergetic decarbonisation effects among supply chain firms driven by artificial intelligence (AI) applied in leading focal firms, nor have they explored the corresponding mechanisms in depth. Focusing on the supply chain, this paper constructs a dataset with “focal firm - associated firm - year” observations, to examine the external spillover effects of AI on supply chain decarbonisation. Our findings reveal that AI employed by focal enterprises significantly contribute to curbing carbon emissions among associated enterprises within the supply chain, primarily through green technological innovation (GTI). The role of substantive GTI is predominant, whereas symbolic GTI appears to have an insignificant impact. Meanwhile, from the perspective of synergy, the vertical interaction effect of the supply chain and the horizontal peer effect of industry can strengthen the supply chain decarbonisation effect of AI technology. This paper provides a new synergetic insight for fully releasing the decarbonisation potential of AI based on supply chain interaction, providing empirical evidence and policy references to promote industrial green inclusive development and realize the global zero-carbon goal.

Keywords: Artificial intelligence; Supply chain decarbonisation; Green technological innovation; Supply chain interaction; Peer effect (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1059056025003612
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reveco:v:101:y:2025:i:c:s1059056025003612

DOI: 10.1016/j.iref.2025.104198

Access Statistics for this article

International Review of Economics & Finance is currently edited by H. Beladi and C. Chen

More articles in International Review of Economics & Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().