| China and the whole world are still facing serious climate problems,and the increase of carbon emissions is the main factor aggravating climate warming.In recent years,China has achieved remarkable carbon emission reduction,but its total carbon emission is still the first in the world,and the international morality and responsibility of carbon emission reduction is still heavy.However,most of the high-emission and high-polluting enterprises in China’s manufacturing industry are concentrated at the county level,which will be the main battlefield of carbon reduction and carbon control in China in the future.There are a lot of research results on carbon emissions at home and abroad,but there is still a lack of research on carbon emissions at the county level in China.From the county level of this research study space structure and the emission characteristics of carbon emissions,including the third chapter based on the latest China county carbon emissions data research results,combined with the county statistical yearbook data obtained,through the analysis of the spatial autocorrelation analysis,center of gravity data analysis means such as 1860 counties in China from 1997 to 2017,carbon emissions and per capita carbon emissions,carbon emissions and carbon intensity of temporal and spatial evolution pattern has made the detailed research;In Chapter 4,based on the carbon emission source structure data in 2015,the main sources and components of China’s county carbon emissions are analyzed.Chapter v county from 1997 to 2017 of China’s population,economic and social situation has made the detailed analysis,including population size,population density,the county’s GDP,per capita GDP,the second industry to GDP,GDP and the proportion of secondary industry,based on the analysis of these factors,combined with the single factor of geographical detector two kinds of means such as detection and interaction factor for China’s county to explore the influence factors of carbon emissions.The main conclusions of this study are as follows:1.China’s county carbon emissions showed a rapid growth from 1997 to 2017,with their share in the national carbon emissions increasing from 55.79% to60.45%.The highest growth rate was from 2003 to 2010,and the growth rate of carbon emissions at the county level began to decline after 2010.According to the gravity center analysis,the gravity center of China’s county carbon emission is located in the central region of Henan Province,and the general trend of the gravity center of China’s county carbon emission is moving westward from 1997 to 2017.According to the analysis results of the Gini coefficient,from 1997 to 2017,the Gini coefficient value decreased from 0.51 in 1997 to 0.22 in 2017,indicating that the gap between the total carbon emissions of various counties was significantly reduced and the degree of equalization was significantly improved.From the perspective of agglomeration level,the high value of county carbon emissions in China mainly occurred in Northeast China,North China Plain and Yangtze River Delta region.2.The growth rate of China’s per capita carbon emissions has slowed down significantly since 2010,indicating to some extent that China’s energy conservation and emission reduction policies have achieved initial results.From 1997 to 2017,the center of gravity of per capita carbon emissions at the county level migrated within Shanxi and Shaanxi provinces,and from 1997 to 2017,the center of gravity moved westward from central Shanxi to central Shaanxi province.The regions with high per capita carbon emissions are mainly distributed in Inner Mongolia,the eastern part of Xinjiang,the northern part of Gansu,the northern part of Shaanxi,and the northern part of Ningxia,while the regions with low per capita carbon emissions are mainly concentrated in the central and western regions.From the perspective of average ground carbon emissions,the high value regions are distributed in the North China Plain,and the center of gravity of average ground carbon emissions is located in the central part of Henan Province,which has maintained a trend of westward migration from 1997 to 2017.From the point of carbon intensity,county carbon intensity of China from 1997 to 2017 showed a trend of decline,from 2010 to 2017,carbon emissions intensity decreased fastest rate,county emissions of carbon intensity in Shanxi Province and shaanxi province mobile gravity,by 2017,the central county carbon intensity from westward migration to the shaanxi province,Shanxi Province,the high value of county carbon intensity agglomeration areas are mainly distributed in the north China plain and the county on the loess plateau region.3.From the perspective of carbon emission sources,China’s county carbon emission mainly comes from the secondary industry,which is dominated by fossil energy emissions from industrial production,followed by carbon dioxide produced in the production of industrial products such as cement,lime and glass.Other types of carbon emissions accounted for relatively small.4.From the perspective of the population and socioeconomic pattern at the county level,most of the population at the county level are concentrated in the counties to the east of the Huhuan Line.In terms of GDP,the counties with higher GDP are mainly distributed in the eastern and central regions,as well as the southern Inner Mongolia,central Xinjiang,northern Qinghai,northern Shaanxi and other regions with relatively rich mineral resources in the western regions.On a per capita GDP,per capita GDP of gathering areas have not only high value distribution in central county economy developed area,are gathered in the distribution of China’s western xinjiang,Inner Mongolia,qinghai,shaanxi and other regions of the county,the second industry output value of county GDP spatial distribution pattern and the spatial distribution pattern of basic consistent,but the proportion of secondary industry began to significantly lower after the peak in 2010,the second industry of relatively high high value area in the Midwest is given priority to,on the east coast have scattered.On the whole,counties with high quality of county economic development are mainly concentrated in the eastern part of China,while some counties in the central and western parts of China lag behind the eastern part of the country in industrial development.5.From the geographical detector to carbon emissions to influence the outcome of factor analysis,single factor detection results show that the influence on county carbon spatial distribution pattern of the largest gross domestic product is the second industry,it has to do with the China’s carbon emissions mainly come from the conclusion of the second industry,from the efficiency factor,the density of the county economy in regional carbon emissions,from the level of industrial development,rules on a greater influence on the enterprise value of regional carbon emissions.The interaction factor detection results show that the superimposed effect of any two factors is greater than that of single factor,that is,the interaction results of any two factors are non-linearly enhanced,and the superimposed effect of regional GDP and energy intensity has the greatest impact on carbon emissions.The innovation of this paper lies in:1.This study based on China’s county economy,society,population,carbon emissions,such as data analysis,in-depth analysis to explore China’s county economy,society and population development pattern and the Chinese county spatial distribution pattern and structure characteristics of carbon emissions,and attempt to characteristics of carbon formation pattern and structure.2.The Gini coefficient was introduced to analyze the distribution pattern of China’s county carbon emissions,and to understand the distribution of China’s county carbon emissions among counties.By means of gravity center analysis,we analyzed the gravity center migration of China’s county carbon emissions,per capita carbon emissions,carbon emission intensity,and average land carbon emissions from 1997 to2017.3.Spatial autocorrelation analysis is used to explore the hot spots of carbon emissions at the county level and in various industries in China,and to make a systematic and comprehensive analysis of the distribution and structure of carbon emissions at the county level.4.Based on the existing data,the source structure of China’s county carbon emissions is analyzed comprehensively and systematically.5.The main influencing factors of China’s county carbon emissions were detected and the conclusions were drawn by means of single factor detection and interactive factor detection of geographical detector. |
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