Impact of artificial intelligence-driven urban renewal strategies green economic efficiency and resident health in China
Bibliographic Data
| ID | 22072948 |
|---|---|
| Authors | Jing Peng (0009-0005-3030-4376, Wuhan Textile University), Xin Fu (0000-0002-2041-525X, Wuhan Textile University, corresponding author), Yufan Peng (Wuhan Textile University), Yang Ding (0009-0004-0375-995X, Dongfeng Motor Group (China)) |
| Year | 2025 |
| Volume | 13 |
| Pages | 1577511-1577511 |
| Publication date | 2025-08-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2025.1577511 |
| PMID | 40823250 |
| OpenAlex | W4412817617 |
| Language | EN |
| Citations received | 1 |
| References cited | 34 |
Introduction: This study investigates the impact of AI-driven smart city policies on green economic efficiency and public health. It further explores how industrial structure rationalization, upgrading, and technological innovation capacity moderate these effects, aiming to provide actionable insights for sustainable urban governance. Methods: To account for potential policy spillover effects, the study adopts a Difference-in-Differences (DID) approach integrated with a Spatial Durbin Model (SDM). The analysis incorporates AI-enabled smart city renewal strategies into the empirical framework, focusing on their influence on green economic efficiency and public health across varying levels of industrial structure and innovation capacity. Data were sourced from the World Health Organization Global Health Observatory. Results: < 0.01). The positive effects are amplified by rationalized and upgraded industrial structures. Notably, the gains in green economic efficiency are more substantial in regions with lower technological innovation capacity, while regions with higher innovation capacity benefit more in terms of improved public health. Discussion: The results underscore the strategic importance of aligning AI applications with industrial and innovation policy to foster sustainable urban development. Policymakers are encouraged to leverage AI in optimizing industrial structures, promoting green growth, and integrating health policy with technological innovation to improve urban residents' quality of life
Business · Economic growth · Economics · Efficient energy use · Environmental economics · Industrial organization · Political science · Public health · Smart city · Spillover effect · Sustainable development · Advanced Technologies in Various Fields · Computer Science · Energy, Environment, Economic Growth · Engineering · Medicine · Smart Cities and Technologies
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| Citations per year | 1 |
|---|---|
| Citation span | 2026 - 2026 (1) |
| Highly cited | No |