Your new experience awaits. Try the new design now and help us make it even better

ORIGINAL RESEARCH article

Front. Environ. Sci.

Sec. Environmental Informatics and Remote Sensing

Impact of Artificial Intelligence on the Achievement of Sustainable Development Goals across China

Provisionally accepted
Chenggang  LiChenggang Li1Xiaopiao  PanXiaopiao Pan1Mu  YueMu Yue2*Jianjun  GeJianjun Ge1Wenqi  WangWenqi Wang1Guanghui  ZhaoGuanghui Zhao1
  • 1Guizhou University of Finance and Economics, Guiyang, China
  • 2Nanyang Technological University, Singapore, Singapore

The final, formatted version of the article will be published soon.

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. 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. 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. This study provides useful decision-making references for formulating differentiated and inclusive artificial intelligence policies, and promoting the achievement of SDGs.

Keywords: artificial intelligence, Sustainable development goals, Impact pathway, spatial perspective, heterogeneity

Received: 20 Aug 2025; Accepted: 02 Dec 2025.

Copyright: © 2025 Li, Pan, Yue, Ge, Wang and Zhao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Mu Yue

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.