Decomposition of ecological welfare performance drivers in China
To achieve sustainable economic development and promote the comprehensive green transformation of the economy and society,it is necessary to improve ecological welfare performance.This study constructed a method of quantitatively evaluating ecological welfare performance in China based on residents'welfare and ecological consumption.On this basis,the ST-LMDI model was used for spatial and temporal decomposition of the ecological welfare performance of provincial-level regions and economic zones in China,thus expanding the current research on the decomposition of the driving factors of ecological welfare performance.The results of the study were as follows.First,the trend for China's ecological welfare performance from 2001 to 2020 was first increasing and then decreasing,with significant regional differences.Additionally,because of their advantages in socioeconomic structure and livelihood-based fiscal expenditures,the coastal regions had a higher ecological welfare performance and also showed spatial spillover effects.Second,the six factors of social benefits,economic benefits,population dispersion,population density in built-up areas,scale of urbanization,and ecological sustainability were introduced to explore their driving roles on ecological welfare performance.The findings showed that the spatial and temporal decomposition results were significantly different.The temporal decomposition results proved that economic benefits and scale of urbanization were the main factors promoting ecological welfare performance,whereas population dispersion inhibited growth of ecological welfare performance.However,the spatial decomposition indicated that the drivers that determine above-average ecological welfare in each provincial-level region showed regional differences and dynamic changes in different periods.The combination of spatial and temporal decomposition and the relationships among economic growth,ecological conservation,and enhancement of residents'welfare are comprehensively helpful to provide reference for local governments to formulate and implement differentiated policies.
two-dimensional perspective of time and spaceecological welfare performancesustainable welfare indexST-LMDIChina
NETL
NSTL
万方数据
