Impact of artificial intelligence on the achievement of sustainable development goals across China

Introduction The rapid development of artificial intelligence (AI) technology has become a key driver in achieving the Sustainable Development Goals (SDGs). However, systematic quantitative researches about the impact and pathway of artificial intelligence on the achievement of SDGs are still relatively limited. Methods Based on the penal data of 30 provinces (autonomous regions and municipalities) in China from 2010 to 2023, this study uses the entropy method to calculate evaluation index of SDG indicators, and systematically examines the impact and pathway of artificial intelligence (measured by the installation density of industrial robots) on achieving SDGs through the two-way fixed effect model, the mediation effect model, and spatial error model. Results The study finds that artificial intelligence has markedly promoted the achievement of China’s overall SDGs and it has a continuously increasing cumulative effect. This driving effect varies across different SDGs, and is most significant in economic growth (SDG8 and SDG9) and climate action (SDG13). The effect of artificial intelligence on achieving SDGs is more pronounced in eastern regions, regions with better SDGs performance, and regions with a late start in artificial intelligence development. Technological innovation and human capital optimization are important ways through which artificial intelligence affects the achievement of SDGs and can further enhance its positive role. Spatial analysis reveals significant positive spatial agglomeration in both AI and SDGs, along with potential spatial dependence across regions driven by unobserved factors. Discussion This study provides useful decision-making references for formulating differentiated and inclusive artificial intelligence policies, and promoting the achievement of SDGs.

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Publication Details

Journal
Frontiers in Environmental Science
Published
2026-01-06
DOI
https://doi.org/10.3389/fenvs.2025.1688466
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Impact of artificial intelligence on the achievement of sustainable development goals across China

Guanghui Zhao, Jianjun Ge, Chenggang Li, Mu Yue et al.
Frontiers in Environmental Science
Smart Cities and Technologies
article

Impact of artificial intelligence on the achievement of sustainable development goals across China

Guanghui Zhao, Jianjun Ge, Chenggang Li, Mu Yue, Wenqi Wang, Xiaopiao Pan
article en

Abstract

Introduction The rapid development of artificial intelligence (AI) technology has become a key driver in achieving the Sustainable Development Goals (SDGs). However, systematic quantitative researches about the impact and pathway of artificial intelligence on the achievement of SDGs are still relatively limited. Methods Based on the penal data of 30 provinces (autonomous regions and municipalities) in China from 2010 to 2023, this study uses the entropy method to calculate evaluation index of SDG indicators, and systematically examines the impact and pathway of artificial intelligence (measured by the installation density of industrial robots) on achieving SDGs through the two-way fixed effect model, the mediation effect model, and spatial error model. Results The study finds that artificial intelligence has markedly promoted the achievement of China’s overall SDGs and it has a continuously increasing cumulative effect. This driving effect varies across different SDGs, and is most significant in economic growth (SDG8 and SDG9) and climate action (SDG13). The effect of artificial intelligence on achieving SDGs is more pronounced in eastern regions, regions with better SDGs performance, and regions with a late start in artificial intelligence development. Technological innovation and human capital optimization are important ways through which artificial intelligence affects the achievement of SDGs and can further enhance its positive role. Spatial analysis reveals significant positive spatial agglomeration in both AI and SDGs, along with potential spatial dependence across regions driven by unobserved factors. Discussion This study provides useful decision-making references for formulating differentiated and inclusive artificial intelligence policies, and promoting the achievement of SDGs.

Frontiers in Environmental ScienceVol. 13
Guizhou University of Finance and Economics (CN), Nanyang Technological University (SG), Guizhou Electric Power Design and Research Institute (CN)
Guizhou University, Guizhou University of Finance and Economics
Industry, innovation and infrastructure
Openalex Percentile: Top 96%
Smart Cities and Technologies
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