Artificial Intelligence and Urban Air Quality: The Role of Government and Public Environmental Attention

Artificial intelligence (AI) technology not only promotes rapid economic development but also plays an irreplaceable role in improving environmental quality. Based on the quasi-natural experiment of the National Artificial Intelligence Innovation Comprehensive Experimental Zone, this paper empirically studies the effect and mechanism of AI on urban air quality (AQ) using the multi-time difference-in-difference model. The research results showed that AI improved the AQ of cities. The mechanism analysis results indicated that there was a positive mediating effect of government environmental attention on the relationship between AI and AQ improvement. Public environmental attention can further enhance the role of AI in improving urban AQ. Further analysis revealed that the improvement effect of AI on urban AQ was mainly reflected in eastern cities and non-resource-based cities. The research conclusion of this study provides reliable empirical evidence for leveraging AI to empower urban green development and assist in air pollution prevention practices.

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Publication Details

Journal
Sustainability
Published
2025-06-20
DOI
https://doi.org/10.3390/su17135702
Citations
3
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
2.40
Controls
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article

Artificial Intelligence and Urban Air Quality: The Role of Government and Public Environmental Attention

Chaobo Zhou
3 citations
Sustainability
Air Quality Monitoring and Forecasting
2.40
article

Artificial Intelligence and Urban Air Quality: The Role of Government and Public Environmental Attention

Chaobo Zhou
article en
3 citations

Abstract

Artificial intelligence (AI) technology not only promotes rapid economic development but also plays an irreplaceable role in improving environmental quality. Based on the quasi-natural experiment of the National Artificial Intelligence Innovation Comprehensive Experimental Zone, this paper empirically studies the effect and mechanism of AI on urban air quality (AQ) using the multi-time difference-in-difference model. The research results showed that AI improved the AQ of cities. The mechanism analysis results indicated that there was a positive mediating effect of government environmental attention on the relationship between AI and AQ improvement. Public environmental attention can further enhance the role of AI in improving urban AQ. Further analysis revealed that the improvement effect of AI on urban AQ was mainly reflected in eastern cities and non-resource-based cities. The research conclusion of this study provides reliable empirical evidence for leveraging AI to empower urban green development and assist in air pollution prevention practices.

SustainabilityVol. 17(13)
Ningbo University (CN), University of Nottingham Ningbo China (CN), Wuhan University (CN)
Sustainable cities and communities
Openalex Percentile: Top 12%
Air Quality Monitoring and Forecasting
2.40
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