Spatial Network Structure Of Interprovincial Agricultural Carbon Emissions In China And Analysis Of Influencing Factors

As global warming becomes more and more serious,carbon emission reduction has become the common goal of all countries in the world.But our country,as the largest emitter of carbon,faces enormous pressure from the international community.Therefore,China has put forward the "double carbon" goal of achieving carbon peak and carbon neutrality by 2020,in order to restrain the carbon emissions of all industries and regions,and thus realize the overall emission reduction and green transformation of the country.As an industry that is more vulnerable to climate change and has a greater impact on climate change,the carbon emission reduction of agriculture is not only of great significance to the sustainable development of agriculture,but also an important aspect to achieve the overall emission reduction.Our country has large population and large agricultural country at the same time.It is very important to study Chinese agricultural carbon emission and characteristic for formulating reasonable carbon emission reduction policy.Due to the differences in agricultural production,agricultural resource endowment and agricultural policies in provinces(municipalities),agricultural carbon emissions and carbon emission reduction potential in provinces(municipalities)are not the same.Therefore,it is particularly important for the green transformation of Chinese agriculture to study the overall spatial characteristics and spatial correlation of China’s inter-provincial agricultural carbon emissions and find out the interconnections and positioning of key regions of agricultural carbon emissions.Based on the theory of sustainable development,low carbon agriculture theory and agricultural green development theory,this paper established a measurement framework for Chinese agricultural carbon emission with reference to the IPCC greenhouse gas emission inventory guide,which provided data support for discussing the total amount and time and space change of agricultural carbon emission intensity between provinces,and also laid the realistic foundation for the analysis of agricultural carbon emission space network.Secondly,by building an improved gravity model,social network analysis method was used to analyze the overall,individual and spatial clustering of the spatial network structure of agricultural carbon emissions in provinces(cities),so as to grasp the agricultural carbon correlation forms among provinces(cities).QAP regression method was used to determine the factors affecting the spatial correlation of provincial agricultural carbon emissions.Finally,the following conclusions are drawn:(1)During the sample period(2011-2020),the total amount and intensity of agricultural carbon emissions in China showed a decreasing trend,and the total amount and intensity of agricultural carbon emissions in provinces(municipalities)showed large regional differences and uneven distribution.The spatial agglomeration of agricultural carbon emissions in China generally presents the characteristics of high carbon emission in the west and low carbon emission in the east.(2)There is a correlation relationship between agricultural carbon emissions in provinces(municipalities),and the correlation network has good accessibility.The overall structure of the spatial network of agricultural carbon emissions in China is stable and closely related.Most of the important positions in the network are in the southwest and the middle and lower reaches of the Yangtze River,which are directly or indirectly depended on by most provinces(municipalities).The three northeast provinces(Heilongjiang,Jilin and Liaoning),the three northwest autonomous regions(Ningxia,qinghai and xinjiang)and coastal provinces(cities)are relatively independent in the association network.(3)The 30 provinces and cities in China are divided into four plates by spatial clustering.The receiving relation of Beijing,Tianjin and other areas around the Bohai Sea is much greater than the sending relation,belonging to the "net income" plate,which mainly receives the agricultural carbon inflow from other areas.Hebei,Shanghai and other parts of North China belong to the "two-way spillover" plate,and there are more spillovers.The northwest and northeast belong to the "broker plate",both internal and external relations;The middle reaches of the Yangtze River,such as Hubei and Hunan,and the southwest,such as Sichuan and Chongqing,belong to the "net spillover" plate,which mainly transfers agricultural carbon emissions to other regions.(4)Spatial adjacency,the difference of agricultural economic development level,and the difference of science and technology input were the main reasons for the spatial correlation of agricultural carbon emissions in 30 provinces(municipalities).Finally,the following suggestions are put forward:(1)attach importance to the spatial effect of agricultural carbon emission among provinces(municipalities),give play to the lead role of core provinces(municipalities)in emission reduction,and promote the upgrading of industrial structure in surrounding areas and the development of low-carbon green industry by means of industrial transformation;(2)Further optimize the spatial network of agricultural carbon emissions,give play to the "intermediary" role of Hunan and Hubei,accelerate the flow of low-carbon technology and low-carbon knowledge,and promote coordinated emission reduction among provinces(municipalities);(3)Vigorously promote agricultural technology innovation,build a new agricultural industry model,and improve agricultural efficiency through agricultural technology innovation and school-enterprise cooperation;(4)To achieve fairness and stability of inter-provincial agricultural carbon emissions,take balanced development between regions as the starting point,and consider the fairness of inter-regional carbon emissions.