ORIGINAL RESEARCH article
Front. Public Health
Sec. Environmental Health and Exposome
Volume 13 - 2025 | doi: 10.3389/fpubh.2025.1577511
This article is part of the Research TopicHuman Health Affected by Changing Ecological Environment in the Rapid UrbanizationView all 11 articles
Impact of Artificial Intelligence-Driven Urban Renewal Strategies Green Economic Efficiency and Resident Health in China
Provisionally accepted
- College of Art and Design, Wuhan Textile University, Wuhan, China
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This study aims to examine the impact of smart city policies on green economic efficiency and public health, while further analyzing the moderating roles of rationalization of structural patterns, industrial upgrading, and technological innovation capacity. To address potential policy spillover effects, the study employs a Difference-in-Differences approach combined with a Spatial Durbin Model. By integrating Artificial Intelligence (AI)-driven smart city renewal strategies into the empirical framework, the study investigates how such strategies influence green economic efficiency and public health, with particular attention to the moderating effects of industrial structure and technological innovation capacity. Using data from the World Health Organization Global Health Observatory, the empirical results indicate that AI-driven smart city renewal strategies significantly enhance green economic efficiency (coefficient = 0.098, p < 0.01) and public health outcomes (coefficient = 0.085, p < 0.01). The rationalization and upgrading of industrial structures play a key role in amplifying these effects. Notably, the improvement in green economic efficiency is more pronounced in regions with relatively low levels of technological innovation capacity, whereas regions with higher innovation capacity experience greater gains in public health. Based on these findings, the study provides a theoretical foundation for policymakers to develop AI-driven smart city renewal strategies. It suggests that greater emphasis should be placed on the application of AI in optimizing industrial structures and advancing green economic development. Furthermore, it advocates for the coordinated promotion of technological innovation and health policy, in order to support sustainable urban development and enhance the quality of life for urban residents.
Keywords: Smart Cities, Urban renewal strategies, Green economic efficiency, Resident health, Green total factor productivity
Received: 15 Feb 2025; Accepted: 11 Jul 2025.
Copyright: © 2025 Peng, Fu, Peng and Ding. 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: Xin Fu, College of Art and Design, Wuhan Textile University, Wuhan, China
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