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Analysis Of Energy And Environment Fairness Based On Coordinated Development Of Energy,economy And Environment In Gansu Province

Posted on:2020-08-17Degree:MasterType:Thesis
Country:ChinaCandidate:R WangFull Text:PDF
GTID:2381330596970031Subject:Applied statistics
Abstract/Summary:PDF Full Text Request
As China's economy gradually moves toward a new normal period,the quality of economy has replaced the rapid development of the economy and has become the main objective of economic development.At present,it is the tackling period of China's economic development.It is necessary to change the mode of development and improve it's structure,transform the growth momentum of the economy.The contradiction between the needs of the people's growing and better life and the uneven development is the main contradiction in our country.The purpose of coordinated development is to deal with the major relationships in development in the right way,and then to solve the imbalance.In recent years,Gansu Province's economic strength has been continuously improved.Although the economic aggregate has been continuously enhanced,its past growth model has been dominated by extensive types,consuming large amounts of energy,destroying ecological balance and polluting the environment.The contradiction between energy,economy and environment is increasing.Coordinated development requires us handle the major relationships and solve the problem of imbalances in development.In recent years,Gansu Province's economy has developed rapidly.However,Gansu Province's economy relied mainly on the extensive mining growth model of high mining,high consumption,high emissions and low utilization.It consumes a lot of resources and energy,which causes environmental problems to become more and more serious.The contradiction between energy,economy and environment(3E)is increasing.Based on the coordinated development of energy,environment and economy and the theory of fairness of energy and environment distribution,this paper conducts a comprehensive analysis of the energy,economic and environmental conditions in Gansu Province.Firstly,the comprehensive development level of each subsystem in the 3E system of Gansu Province is evaluated.Then,based on this calculation,the coupling coordination degree between the two systems and the three systems is further calculated.According to the calculation results of this paper,the energy of Gansu Province in the past two years.The coordination with the economy,the environment and the economy is lower than the coordination between the energy and environment and the three systems,that is,the energy and economy,the environment and the economy have lowered the coordination of the 3E system.On this basis,the relationship between the energy environment and economic development of the prefectures(states)under Gansu Province is analyzed.Taking 13 prefectures(cities)(excluding Linxia Prefecture)in Gansu Province as the research object,the Gini coefficient of energy environment was used to calculate the Gini coefficient of energy consumption,SO2 emissions,COD emissions and smoke(powder)dust emissions in Gansu Province.The values are 0.21,0.17,0.14,and 0.09,respectively,indicating that 13 cities(states)have fair energy consumption and pollutant emissions are fair.In order to further determine which city is the unfair factor that causes the imbalance of spatial distribution of pollutant emissions(or resource consumption),the green contribution coefficient of each city(state)is constructed,and the major cities that cause the unfair distribution of various indicators are identified.For industries with unfair energy environment utilization,this paper firstly uses gray correlation analysis to confirm the correlation between industry and energy consumption,and then calculates the energy green contribution coefficient of 33 industries within the industry to find out the high energy consumption and low economy.The output of key energy-consuming industries and industries with low energy consumption and high economic output,followed by the industrial structure of 13 prefectures(states),combined with the energy consumption and economic development of each city,further explain the relationship between energy consumption and economic structure.The relationship points out the pro blems in the economic structure.Finally,this paper takes 13cities(states)as samples and 4 green contribution coefficients as variables.The results of using system clustering are: Lanzhou and Wuwei are high-performance cities Qingyang,Tianshui,Jiuquan,Baiyin,Weinan,Dingxi and Gannan are medium-performance cities;Zhangye,Pingliang,Jinchang and Jiayuguan are low-performance cities.The first chapter of the thesis raises questions,explains the purpose and significance of the research,the development history and literature review of energy,environment and economy,the fairness theory,research ideas and contents of energy environment distribution,and the shortcomings of this research.The second chapter analyzes the development and current situation of energy,economy and environment in Gansu Province,and then analyzes the overall development of energy,environment and economy.The third chapter makes a comprehensive analysis of the energy environment equity in Gansu Province,and further explores the spatial rationality of energy environment distribution and the main reasons for the difference in space allocation.Through the relevant quantitative research,we identified major industries and major cities with unreasonable energy and environmental utilization,and judged the external fairness of energy and environmental utilization levels in various cities in Gansu Province.The fifth chapter draws conclusions based on the third chapter and the fourth chapter,and combines the overall energy,economic and environmental development of Gansu Province and its 13 prefectures(states)to propose feasible proposals to promote the coordinated development of 3E in Gansu Province.
Keywords/Search Tags:Entropy method, Coupling coordination analysis, Energy environment Gini coefficient, Green contribution coefficient, Systematic cluster analysis
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