Research on the Spatial Correlation Network Structure of Carbon Emission Efficiency in Chinese Provinces - Based on Super Efficiency EBM and LMDI Models

In the process of global economic integration, green development has become an important trend. In 2020, China formulated the "Double Carbon Target", which promoted the process of emission reduction and carbon reduction. At the same time, how to accelerate the social low-carbon transformation was included in the urgent problem to be solved in the development process of our country. Due to the different development models of provinces and cities, there are differences in the spatial dimension of carbon emission efficiency between provinces and cities. Therefore, it is of great strategic significance to study the spatial correlation network structure of carbon emission efficiency between provinces and cities in order to realize the "double carbon goal" and formulate emission reduction policies.In this paper, firstly, the super-efficient EBM model with unexpected output is constructed, and the carbon emission efficiency of 30 provinces, municipalities and autonomous regions in China (excluding Hong Kong, Macao and Taiwan and Tibet) from 2006 to 2021 is measured more accurately. Secondly, the spatial-temporal dynamic evolution characteristics of carbon emission efficiency are analyzed by using the exploratory spatial-temporal data analysis model in the field of geographical research, and the spatial correlation network structure is further studied by combining social network analysis. Finally, LMDI decomposition model is used to decompose the driving factors of carbon emissions into energy efficiency effect, energy intensity effect, economic output effect and population size effect, and their impacts on carbon emissions are analyzed one by one.