Geospatial driving factor analysis on the synergy between air pollution control and carbon mitigation in China

Man Guo, Baozhang Chen, Nicholas Hamm

Research output: Contribution to conferencePaperpeer-review


Facing air pollution and carbon mitigation challenges, China actively pursues a “win-win” strategy for simultaneous reductions. This study evaluates synergistic governance performance between air pollution control and carbon mitigation in China under policy influence. It takes a GIS approach, based on spatial data analysis. Results show no significant improvement in synergistic governance performance under guidance of the major policies like "Clean Air Action" and "Blue Sky Defense". The relative activities during COVID-19 pandemic further hindered national effectiveness. Drivers exhibited spatial variations, while temporal heterogeneity remained relatively stable. These findings provide scientific insights that offer guidance for policymakers tackling environmental challenges.
Original languageEnglish
Publication statusPublished - 10 Apr 2024
Event32nd Annual GIS Research UK Conference - University of Leeds, Leeds, United Kingdom
Duration: 9 Apr 202412 Apr 2024
Conference number: 32nd


Conference32nd Annual GIS Research UK Conference
Abbreviated titleGISRUK
Country/TerritoryUnited Kingdom


  • Synergistic effect evaluation
  • Ordering degree
  • Coupling coordination degree
  • Driving factors
  • GWR (Geographically Weighted Regression)

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