Provincial Clustering Of Carbon Emissions In China's Power Industry And Analysis Of The Differences Of Influencing Factors

The carbon dioxide is the major part of the greenhouse gas,meanwhile,it is also the greenhouse gas influenced by human activities.Since the reform and opening up,China's economy has entered a rapid rising development period,people's living standards and the overall national strength continue to strengthen,but the extensive mode of excessive pursuit of economic growth and ignore environmental protection ultimately led to the continued growth of carbon dioxide emissions,China has become a major carbon dioxide emitter.Moreover,China's power industry is the main industry of carbon emissions,accounting for about 40% of the total carbon emissions in China.In China's power generation structure,the thermal power generation accounts for more than 80% of the total power generation.Coal has become China's largest source of carbon dioxide emissions.Therefore,the study of carbon emissions of China's power industry is of great significance to China's carbon emission reduction and sustainable economic development.The main purpose of this paper is to perform provincial clustering of CO₂ emissions in China's power industry and to study regional differences in influencing factors.This is of great significance for guiding China's power industry in CO₂ emissions reduction and for the development of low-carbon economy in various regions.The main research contents of this paper are as follows:Firstly,this paper measures the CO₂ emissions of China's power industry and analyzes the current status of total CO₂ emissions and per capita CO₂ emissions of China's power industry from the perspective of the nation,region,and province.Then,according to the expanded STIRPAT model,the impact factors of CO₂ emissions in the power industry are determined,and the characteristics of the influencing factors are analyzed from the national and provincial levels.Secondly,based on the selected CO₂ emission factors in the power industry,this paper adopts a Particle Swarm Optimization Projection Pursuit Model to cluster 30 provinces?except Tibet?Hong Kong?Macao and Taiwan?.According to the best projection direction and provincial projection values,these provinces are divided into four types of regions.Then,we analyze the characteristics of the CO₂ emissions in China's power industry and their influencing factors in each region.Thirdly,we build a panel data model for CO₂ emissions in the power industry in China,and empirically analyze the carbon emission factors in different regions after the clustering.The contribution rate of each influencing factor to the carbon emissions of China's power industry in each of the four regions was obtained.Finally,this paper makes a difference analysis of the per capita GDP,urbanization rate,industrialization rate,electric power structure,power standard coal consumption,and power consumption intensity in different regions,and proposes targeted carbon reductions from the perspective of different regions and various influencing factors.This study not only enriches the theory and methods of low-carbon economy,but also provides theoretical support for the low-carbon development of China's power industry.