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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