Study On The Driving Effect Of China's Carbon Emission Spatial Difference Based On M-R Decomposition Model

Since the reform and opening up,China's economy has achieved a long-term high-speed growth,greatly promoting the production capacity of mankind.However,due to the huge consumption of fossil energy such as coal,oil and gas in economic development,China's carbon emissions are in the first place in the world,and the contradiction between economic development and resources and environment is increasingly prominent.Therefore,as a responsible big country,China announces the goal of China's future carbon emission reduction to the world.How to improve the structure of energy consumption,achieve industrial upgrading and improve the efficiency of energy utilization becomes the key to realize the international commitment of carbon emission reduction in the future.At home and abroad,there are plenty of research results on energy consumption carbon emission accounting and its driving effect,but at present,there is little analysis on the comparative differences of horizontal spatial driving factors of carbon emission.In view of this,on the basis of accounting the carbon emission of energy consumption in 30 provinces of China,this study divides the four regions into four categories by clustering method and analyzes their carbon emission spatial differences.Then,on the basis of comparing the advantages and disadvantages of the existing carbon emission driving effect decomposition model,the M-R spatial decomposition model is constructed and applied to the analysis of Driving Factors Comparison of carbon emission spatial differences in China The research on the driving factors of China's carbon emissions is a tentative exploration,so we can draw a conclusion that it is difficult to compare the spatial driving factors of China's carbon emissions by using the decomposition model based on time dimension.The main conclusions of the study are as follows: according to the spatial differences of carbon emissions in provinces,the provinces with large economic population have larger total carbon emissions,while the provinces with large carbon emissions and small population have smaller total carbon emissions;the provinces with large carbon emissions and small population have higher per capita carbon emissions;except Beijing and Shanghai,the carbon emissions in other provinces are mainly from Second industry: the carbon emission intensity of Beijing Tianjin Shanghai and coastal provinces with advanced production technology is relatively low,while that of traditional agricultural provinces and marginal regions is relatively high.It can be seen from the spatial differences of carbon emissions in the four regions after the division.The total amount of carbon emissions between regions presents the situation of the third region is larger than the second region,the second region is larger than the fourth region,and the fourth region is larger than the first region.In recent years,the per capita carbon emissions present the phenomenon of the fourth region is larger than the first region,the first region is larger than the second region,and the second region a is larger than the third region.In addition to the small difference in the proportion of carbon emissions of the second industry and the third industry in the first region,there is a large range of differences between the proportion of carbon emission of the second industry and the third industry in the rest regions;the intensity of carbon emission is obvious in the fourth region is larger than the third region,the third region is larger than the second region,and the second region is larger than the first region.From the driving effect of spatial difference of carbon emission between various regions and their internal provinces and average level.The lower than average level of carbon emission in the first region mainly comes from its lower population size and energy consumption intensity,the advanced energy structure and industrial structure effect also have a certain pulling effect,while the economic output effect has a greater degree of inhibition.The higher than average level of carbon emission in the second region is mainly due to its larger economic output level and population scale,the industrial structure effect also has a certain pulling effect,the energy intensity effect has a greater degree of inhibition,and the energy structure effect has a smaller degree of inhibition.The higher than average level of carbon emission in the third region is mainly due to the larger energy intensity and population scale effect,and the industrial structure effect has a certain pulling effect in recent years,while the lower economic output and energy structure effect have a restraining effect.The above average level of carbon emission in the fourth region is mainly due to the high energy intensity and backward energy structure and industrial structure,while the effects of economic output and population scale have a greater inhibition.Finally,based on the results of comparative analysis of the driving effects of carbon emissions in the four classified regions and their internal provinces,the paper puts forward the policy recommendations of regional and internal provinces' differentiated carbon emission reduction from the perspective of transferring economic assets,improving energy consumption structure,improving energy efficiency and optimizing industrial structure,so as to formulate differentiated carbon emission reduction policies and achieve regional coordination Sustainable development provides certain reference basis.