Environments, Год журнала: 2025, Номер 12(2), С. 37 - 37

Опубликована: Янв. 22, 2025

Policy synergy, the evidence-based coordination of public policies, can aid in more rapidly achieving air pollutant and carbon dioxide (CO2) emission reduction targets. Using logarithmic mean Divisia index (LMDI) decomposition, coupling degree (CCD), geographically temporally weighted regression (GTWR) models, we analyzed characteristics, drivers, pathways residential pollution across 30 Chinese provinces from 2001 to 2020. The southern produced than northern provinces, with gap widening after 2015. In sector, energy factors (LMDI decomposition result, 686,681.9) population size (14,331) had greater impacts on emissions structure, intensity, synergies, or GDP per capita. GTWR analysis CCD mechanism indicated that hydroelectricity urbanization enhanced southeast. Meanwhile, west, was improved by R&D investment, government spending industrial control, electricity consumption, capita cropland, temperature, urbanization. This provides a valuable reference for optimizing strategies.

Язык: Английский