Towards <scp>SDGs</scp> 9, 11, and 13: The Effects of Artificial Intelligence Technology Innovation on Synergetic Reduction of Pollution and Carbon Emission in Manufacturing Investment Networks

ABSTRACT The synergistic reduction of pollution and carbon emissions (SRPCE) is a crucial goal for achieving SDG 13 (Climate Action). Artificial intelligence technology innovation (AITI), which represents SDG 9 (Industry, Innovation, and Infrastructure), has an unclear impact on SRPCE. This paper investigates how AITI promotes SRPCE through manufacturing investment networks, reflecting its role in advancing SDG 11 (Sustainable Cities and Communities). From 2014 to 2022, AITI grows by 7.74%, while SRPCE increases by 8.63%. The results show that AITI significantly enhances SRPCE both locally and in investment‐receiving regions. A 1% rise in AITI leads to a 1.211% increase in local SRPCE and a 0.850% increase in spillover effects. The impact varies across city clusters and network centrality. The results reveal that manufacturing investment networks are important pathways for cross‐city technology diffusion. It provides insights for regional sharing of technological dividends and collaborative environmental governance.

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Publication Details

Journal
Sustainable Development
Published
2025-12-31
DOI
https://doi.org/10.1002/sd.70573
Primary Topic
Energy, Environment, Economic Growth
Type
article
Field-Weighted Citation Impact
0.00
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article

Towards SDGs 9, 11, and 13: The Effects of Artificial Intelligence Technology Innovation on Synergetic Reduction of Pollution and Carbon Emission in Manufacturing Investment Networks

S. Li, Weifeng Deng, Sheng Hu, Yaobin Liu
Sustainable Development
Energy, Environment, Economic Growth
article

Towards SDGs 9, 11, and 13: The Effects of Artificial Intelligence Technology Innovation on Synergetic Reduction of Pollution and Carbon Emission in Manufacturing Investment Networks

S. Li, Weifeng Deng, Sheng Hu, Yaobin Liu
article en

Abstract

ABSTRACT The synergistic reduction of pollution and carbon emissions (SRPCE) is a crucial goal for achieving SDG 13 (Climate Action). Artificial intelligence technology innovation (AITI), which represents SDG 9 (Industry, Innovation, and Infrastructure), has an unclear impact on SRPCE. This paper investigates how AITI promotes SRPCE through manufacturing investment networks, reflecting its role in advancing SDG 11 (Sustainable Cities and Communities). From 2014 to 2022, AITI grows by 7.74%, while SRPCE increases by 8.63%. The results show that AITI significantly enhances SRPCE both locally and in investment‐receiving regions. A 1% rise in AITI leads to a 1.211% increase in local SRPCE and a 0.850% increase in spillover effects. The impact varies across city clusters and network centrality. The results reveal that manufacturing investment networks are important pathways for cross‐city technology diffusion. It provides insights for regional sharing of technological dividends and collaborative environmental governance.

Sustainable Development
Nanchang University (CN), Wuhan University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 19%
Energy, Environment, Economic Growth
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Towards <scp>SDGs</scp> 9, 11, and 13: The Effects of Artificial Intelligence Technology Innovation on Synergetic Reduction of Pollution and Carbon Emission in Manufacturing Investment Networks — S. Li, Weifeng Deng, et al. · Sustainable Development (2025) | TGRS Research Map | TGRS