September 10, 2025Frontiers in Public HealthOpen Access

Impact of artificial intelligence-driven urban renewal strategies green economic efficiency and resident health in China

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AI-driven urban strategies significantly improve green economic efficiency and public health outcomes, underscoring sustainable urban growth.
Findings show a coefficient of 0.098 for green economic efficiency and 0.085 for public health, both statistically significant at p < 0.01.
The study employs a Difference-in-Differences approach integrated with a Spatial Durbin Model, analyzing AI's broader impacts.
Aligning AI applications with industrial and innovation policy may enhance urban sustainability, indicating vital policy directions.

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Implication

Observational analysis indicates AI-driven urban renewal enhances green economic efficiency and public health, highlighting the role of industrial structure.

Cite This Study

Peng et al. (2025) studied this question.

synapsesocial.com/papers/68c23ed7b210217d64794a01 https://doi.org/10.3389/fpubh.2025.1577511

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Implication

Observational analysis indicates AI-driven urban renewal enhances green economic efficiency and public health, highlighting the role of industrial structure.

Impact of artificial intelligence-driven urban renewal strategies green economic efficiency and resident health in China

Key Points

Discussion

Implication

Cite This Study

Impact of artificial intelligence-driven urban renewal strategies green economic efficiency and resident health in China

Key Points

Discussion

Implication

Cite This Study