Evolution Of The Spatially Linked Network Structure Of Carbon Emissions And The Influencing Factors In The Central Region

Reducing greenhouse gas emissions is an urgent task,and cities play an important role in the global carbon emission process.This thesis takes 80 cities in central China as the study area,and firstly measures the carbon emissions of each city in central China from 2010 to 2019 by using the emission factor method,verifies the spatial autocorrelation among cities in central China with the help of spatial econometric model combined with Moran index,and reasonably summarizes the spatial and temporal evolution characteristics of carbon emissions in central China,followed by the social network analysis method as the research spatial correlation network structure index Then,we use the social network analysis method as the analysis tool to study the spatial network structure indexes of carbon emission in central region.Finally,QAP regression analysis is used to investigate the factors affecting the spatial correlation of carbon emissions in the central region and the potential driving effects.The study shows that:(1)The spatial network of carbon emissions in central China is centered on major provincial capitals,including Nanchang,Wuhan,Hefei,Changsha and Zhengzhou,showing a typical "core-edge" spatial network distribution pattern.(2)During the sample period of 2010-2019,the spatial network of carbon emissions in central China has a significant correlation,the network density shows a "V" shape change,the network hierarchy shows a significant decline,the hierarchical correlation structure is broken,and the spatial network of carbon emissions correlation is being strengthened.(3)The carbon emission spatial association network can be divided into four plates,plate1 with 38 cities in the north of the central region is the net spillover plate,plate 2 with 30prefecture-level cities in the southwest of the central region plays a two-way spillover role,6southeastern cities near the developed coastal areas are the net beneficiaries of the carbon emission spatial network association,plate 4 in the northeast of the central region is the net beneficiary plate of the carbon emission spatial association network.Plate 4 is located in the northeastern part of the central region and is the "intermediary" of the spatial association network of carbon emissions.(4)QAP regression is used to analyze the factors influencing the difference of carbon emission spatial correlation,and it is found that the geographical distance between cities plays an inverse role in suppressing carbon emission spatial correlation,and the correlation coefficient between urbanization level,industrial structure difference and economic level and carbon emission spatial correlation is positive,which plays a positive pulling role in spatial correlation.