Research On The Temporal-Spatial Variations And The Driving Factors Of Carbon Emission In China

In recent years,in order to achieve the carbon peak goal,the Chinese government has actively developed a "low-carbon economy." However,due to the increase in regional development differences in recent years,the differences in regional carbon emission characteristics are gradually expanding.How to formulate targeted carbon emission reduction policies for different regions and local conditions needs further discussion.Therefore,there are differences in the contribution of driving factors to changes in carbon emissions between different regions and provinces.The evolution of these differences over time and space is worth further consideration.In order to consider the impact of “technical benchmarking” and other driving factors on the changes in carbon emissions in China’s major regions,and to further investigate the effects of these driving factors on the temporal and spatial differences and evolution trends in different regions of my country,qualitative and quantitative methods can be adopted.Analyzing the time series and spatial changes of regional carbon emissions can help different regions of China formulate more scientific and targeted emission reduction measures.Therefore,this paper combines production-theoretical decomposition analysis(PDA),exponential decomposition analysis(LMDI)decomposition model and common frontier data envelopment analysis(DEA)model to construct a spatial-temporal decomposition model of carbon emissions changes,from the perspective of "production technology efficiency" Explore the main driving factors that affect the changes in carbon emissions in my country as a whole and in different regions,and explore the differences in the temporal and spatial evolution of the driving factors.Specifically,this article first uses the joint decomposition model to analyze the changes in carbon emissions in my country as a whole and in the three major regions.The changes in carbon emissions in my country are divided into 9 factors,including "emission reduction/energy-saving technology national benchmark catch-up",New definitions such as the “regional benchmark catch-up effect of emission reduction and energy-saving technologies” provide more detailed information for studying changes in carbon emissions and the timing of carbon emission benchmark catch-up.In addition,in order to obtain a more detailed spatial difference in the effects of changes in carbon emissions in different provinces in the three three regions,and at the same time to examine the low-carbon pilot cities established by the state,they have better results.The changes in the province’s carbon emissions are analyzed in space and time and space,and the evolution trends of the main carbon emissions driving factors in time and space are discussed.The research results pointed out that the main factors that promote the reduction of my country’s carbon emissions are the national emission reduction technology benchmarking effect,potential energy intensity and carbon emission efficiency,and economic development and regional carbon emission technology catching up and regressing are the main reasons for the increase in my country’s carbon emissions;In addition,different driving factors in different regions have differences in the evolution trend of carbon emissions such as M,N,and W.In addition,the emission reduction effects of my country’s carbon emissions and its driving factors and their degree of catching up with emission reductions vary greatly.Factors such as carbon emission efficiency and emission reduction technology benchmarking are the main reasons for the increase in regional carbon emission spatial differences.At the same time,according to the decomposition results and the development trend of the effect of driving factors in different regions,specific carbon emission reduction policy recommendations are put forward for different regions.