Research On The Spatial Network Structure And Influencing Factors Of Carbon Emissions In The Yellow River Basin

As the global warming becomes more and more serious,carbon dioxide emission has become one of the most important issues in China and even in the world.As a responsible big country,China took the lead in proposing carbon peaking and carbon neutrality goals,actively and continuously promoting the process of carbon emission reduction,and setting an example for other countries.As an important energy base in China,the industry in the Yellow River basin is mainly heavy chemical industry.The ecological environment protection is not in place,and the watershed is seriously polluted and carbon emissions are high.Due to the mobility of carbon emissions,they will be transferred with the flow of production factors such as economic exchanges,technological diffusion,and trade exchanges between cities,and then carbon emissions will be correlated between cities,affecting the ecological environment of the entire region.Therefore,it is of great significance to study the spatial network structure and influencing factors of carbon emission correlation between cities in the Yellow River Basin,and then put forward targeted regional carbon emission reduction and green development countermeasures and suggestions,which are of great significance to achieve the goals of ecological protection and high-quality development in the Yellow River Basin.In this thesis,the spatial autocorrelation method is used to test the spatial autocorrelation of carbon emissions in 65 cities in the Yellow River Basin,and the modified gravity model method is used to construct a spatial network model of carbon emissions,then analyze the spatial network structure characteristics of carbon emissions and the influencing factors of carbon emissions spatial network through social network analysis.The following main conclusions were obtained.Firstly,the carbon emissions and per capita carbon emissions in the Yellow River Basin showed a fluctuating growth trend from2010 to 2019,and the emissions were ranked from high to low as downstream,upstream,and midstream.The overall carbon emissions have a significant positive spatial correlation in most years,and the per capita carbon emissions as a whole show a significant positive spatial correlation.Secondly,there are more and more spatial correlations of carbon emissions in the Yellow River Basin and gradually develop into a complex spatial network structure.From the perspective of individual network structure characteristics,cities such as Zhengzhou,Taiyuan,and Jinan are located in the center of the carbon emission network and also play an intermediary role,while cities such as Tianshui,Pingliang,and Jiuquan have low centrality and have always been at the edge of the carbon emission network.From the perspective of spatial clustering characteristics,the plates are located in Ningxia and Gansu province,Gansu and Shanxi province,Inner Mongolia and Shanxi,Shandong province,and Henan province,respectively,and there is no spatial linkage between the four plates.Thirdly,geographical location,differences in industrial structure,differences in urbanization levels,differences in scientific and technological expenditures,and differences in social consumption capacity have a significant impact on the formation of a spatial correlation network of carbon emissions.The closer the distance between cities,the more similar the level of urbanization and the more similar the industrial structure,the easier it is to form a spatial correlation network of carbon emissions between cities,and the greater the difference in science and technology expenditure and the greater the difference in social consumption capacity,the easier it is to form a spatial correlation network of carbon emissions.In conclusion,based on the analysis of the spatial network structure characteristics and influencing factors of carbon emissions in the Yellow River Basin,this thesis proposes to adopt differentiated carbon emission reduction strategies for different river basins and cities,and exert the influence of core cities such as Zhengzhou and Taiyuan to take the lead in promoting carbon reduction in the river basin.The emission reduction process will gradually form a linkage area for cross-regional coordinated emission reduction,which is conducive to promoting the high-quality development of the Yellow River Basin.