The Breadth And Depth Measurement Of Carbon Footprint Of Energy Consumption In Yunnan And Spatial Research

As an important indicator to measure the impact of human activities on the ecosystem,carbon footprint has become one of the focuses of research in various disciplines such as geography,ecology and environmental science in recent years.The formulation of timely and reasonable carbon emission reduction measures is of great significance to my country’s carbon emission reduction work.This paper starts with the proposal of the “dual carbon” background,refers to the existing literature to define the relevant concepts,and introduces the relevant basic theories;secondly,it introduces the carbon footprint of energy consumption,the carbon carrying capacity of vegetation,carbon deficit(surplus),and carbon footprint of energy consumption.The breadth and depth measurement method and the results are calculated,and then the dynamic changes of the carbon footprint of energy consumption,the carbon carrying capacity of vegetation,the carbon deficit(surplus),and the breadth and depth of the carbon footprint of energy consumption are analyzed from the perspectives of the province and the city,in-depth analysis of the breadth and depth indicators of energy consumption carbon footprint and its spatial distribution pattern and its global and local spatial autocorrelation;finally,the multiple regression model is used to analyze the factors affecting the breadth and depth of energy consumption carbon footprint,and countermeasures are given.The main conclusions are as follows:(1)The energy consumption structure still needs to be further improved.At present,the energy consumption structure is still dominated by coal.(2)From 2010 to 2020,the carbon footprint of per capita energy consumption in Yunnan showed a fluctuating trend of first increase and then decrease.The per capita carbon footprint of coal accounted for the highest proportion,followed by electricity and coke;the areas with high carbon footprint of energy consumption were mainly concentrated in high carbon resources.Rich,industrially developed and densely populated areas(Kunming,Qujing,Honghe and other cities),low-carbon areas are concentrated in areas with few high-carbon enterprises and low energy consumption(Diqing,Lincang,Xishuangbanna and other prefectures).(3)The breadth of the carbon footprint of energy consumption in Yunnan shows a spatial distribution of high values in the central and eastern regions and low values in the west.Zhaotong,Nujiang,Baoshan and Wenshan have different degrees of transition,and the rest of the cities are relatively stable;the carbon footprint depth values of energy consumption are as follows: 11 cities have the natural original length value of 1,and there are 5 cities whose energy consumption carbon footprint depth value has jumped;the overall spatial distribution of energy consumption carbon footprint breadth and depth is relatively stable.(4)The breadth and depth of the carbon footprint of energy consumption in Yunnan show a weak spatial positive correlation as a whole.The local spatial autocorrelation of energy consumption carbon footprint breadth is not very significant,only Lincang,Kunming,Honghe and Baoshan have significant spatial autocorrelation;energy consumption carbon footprint depth spatial autocorrelation mainly exists in Kunming,Qujing,Honghe,Zhaotong,Wenshan and other cities have no obvious correlation with other cities.(5)According to the results of the breadth of energy consumption carbon footprint and in-depth multiple linear regression analysis,it can be seen that the main influencing factors of the breadth of energy consumption carbon footprint are industrial structure,technical level and per capita carbon emissions,all of which have a promoting effect.The main influencing factors of the depth of carbon footprint of energy consumption are vegetation structure,per capita carbon emissions,level of opening to the outside world and regional economic level.