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November 18, 2025SustainabilityOpen Access

Integration of Data Elements and Artificial Intelligence for Synergistic Pollution and Carbon Reduction in 275 Chinese Cities

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Authors

YPYing PengYZYan ZhangWGWeiLong Gao

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Overview

Analysis reveals artificial intelligence impacts pollution reduction in 275 cities, suggesting improved governance strategies.

Key Points

  • Pollution reduction linked with artificial intelligence integration and urban spatial structure improvements, indicating effective governance pathways.
  • Findings show the application of ordinary least squares with panel data across 275 cities during 2009–2021.
  • Stage-specific effects observed, including pollution reduction coupled with carbon increase, highlighting governance challenges.
  • Research suggests new approaches to enhance environmental protection while addressing carbon reduction complexities.

Cite This Study

Peng et al. (2025) studied this question.

synapsesocial.com/papers/6924fef4c0ce034ddc351ba4https://doi.org/10.3390/su172210299
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