Decomposing Drivers of Air Pollutant Emissions in China: A Hybrid LMDI and Geographically Weighted Regression Approach
Air pollution control is a pressing issue in China, and accurately identifying the driving factors of emission and collaborative reduction paths is crucial. Researchers at the Lanzhou Institute of Chemical Physics have developed a novel three-stage progressive analysis framework that combines Logarithmic Mean Divisia Index (LMDI) decomposition and Geographically Weighted Regression (GWR). This approach aims to construct and analyze the driving mechanism of atmospheric pollutant emissions and explore the potential for regional collaborative emission reduction.
Key Takeaways:
- The innovative three-stage progressive analysis framework was developed to accurately identify emission driving factors and collaborative emission reduction paths in China.
- The framework combines LMDI decomposition and GWR to analyze the driving mechanism of atmospheric pollutant emissions and explore regional collaborative emission reduction.
- The energy intensity effect in Tangshan city was found to reduce emissions by an average of -14.834 million tons per year, becoming the core driving force.
- The synergistic emission reduction ratio of SO2-PM2.5 in the Beijing Tianjin Hebei region reached 1:0.38, with an average annual emission reduction of 297000 tons and a regional synergy index of 0.85.
- The research concluded that the synergistic effect of multi-factor decomposition and spatial heterogeneity analysis could significantly enhance the regional adaptability of emission reduction strategies.
- The results provided scientific support for cross-regional collaborative governance.
- Yijing Liang, National Key Laboratory of Lubricating Materials, Lanzhou Institute of Chemical Physics Chinese Academy of Sciences, was involved in the research.
Statistics:
- -14.834 million tons per year: average emission reduction in Tangshan city due to energy intensity effect.
- 297000 tons: average annual emission reduction in the Beijing Tianjin Hebei region.
- 0.85: regional synergy index in the Beijing Tianjin Hebei region.
Sources:
- PLOS One, 2025;20(10).
- Decomposing drivers of air pollutant emissions in China: A hybrid LMDI and Geographically Weighted Regression approach.
- Public Library Science, 1160 Battery Street, Ste 100, San Francisco, CA 94111, USA.
- Public Library of Science, www.plos.org.
- www.plosone.org.