Impact of artificial intelligence-driven urban renewal strategies green economic efficiency and resident health in China
Dados Bibliográficos
| ID | 22072948 |
|---|---|
| Autores | Jing Peng (0009-0005-3030-4376, Wuhan Textile University), Xin Fu (0000-0002-2041-525X, Wuhan Textile University, autor correspondente), Yufan Peng (Wuhan Textile University), Yang Ding (0009-0004-0375-995X, Dongfeng Motor Group (China)) |
| Ano | 2025 |
| Volume | 13 |
| Páginas | 1577511-1577511 |
| Data de publicação | 2025-08-01 |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Frontiers in Public Health (JOURNAL) |
| Identificadores do periódico | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Editora | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2025.1577511 |
| PMID | 40823250 |
| OpenAlex | W4412817617 |
| Idioma | EN |
| Citações recebidas | 1 |
| Referências citadas | 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
The Metaverse as a Virtual Form of Smart Cities
Digital economy, technological innovation, and green economic efficiency—Empirical evidence from 277 cities in China
Effects of smart city construction on energy saving and CO2 emission reduction
Green technological innovation, green finance, and financial development and their role in green total factor productivity
Smart city construction empowers tourism
Artificial intelligence of things for synergizing smarter eco-city brain, metabolism, and platform
Applications of ML/DL in the management of smart cities and societies based on new trends in information technologies
Future smart cities
Do smart cities promote a green economy? Evidence from a quasi-experiment of 253 cities in China
Does smart city pilot improve urban green economic efficiency
The impact assessment of smart city policy on urban green total-factor productivity
Does smart city implementation improve the subjective quality of life? Evidence from China
| Citações por ano | 1 |
|---|---|
| Intervalo de citações | 2026 - 2026 (1) |
| Altamente citado | Não |