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Study On Influencing Factors Of Carbon Emission In Jilin Province Based On STIRPAT Model

Posted on:2018-05-09Degree:MasterType:Thesis
Country:ChinaCandidate:X W ZhangFull Text:PDF
GTID:2321330536459242Subject:Applied Statistics
Abstract/Summary:PDF Full Text Request
The economic development of Jilin province was mainly based on heavy industry,which has many problems such as large energy consumption and serious environmental pollution.Historically,Jilin Province as the old industrial base of the northeast,in the period of building a new China to Chinese economic construction and lay a solid foundation,but with the development of society,the past extensive development model not only for the old industrial provinces bring vitality,it will hinder the formation of Jilin Province,carbon emissions can not be effectively control.From a practical point of view,the economic development of Jilin province lags behind,unreasonable industrial structure,high-tech development is slow,only by consuming large amounts of energy to sustain economic growth,resulting in carbon emissions is becoming increasingly serious,the sustainable development of Jilin province is very unfavorable.Therefore,to solve the problem of carbon emissions in Jilin province imminent,influencing factors of carbon emissions is the key to reduce carbon emissions,so this paper focuses on the influencing factors of carbon emission were analyzed,hoping to provide support for government departments to develop energy-saving emission reduction policies.This paper first defines the concept of the level of carbon emissions and carbon emissions standards,the method of determining the accounting of carbon emissions,carbon emissions in Jilin province is calculated on the basis of this,and further analysis of the Jilin Province carbon emissions,per capita carbon emissions and carbon emission intensity at present.Then,build the STIRPAT model,using gray correlation degree measurement of all relevant indicators and carbon emissions,so as to find out the degree of the strongest three per capita wealth,population,social science and technology progress in indicators,using these indicators to establish ridge regression model,obtain the long-term elasticity of the final.At the same time,the Tapio model is used to analyze the relationship between the per capita wealth,population,social and scientific and technological progress and carbon emissions.Combined with the analysis of the long-term and short-term elasticity coefficient obtained the following conclusions: first,Jilin province population index has significant influence on the long-term carbon emissions and carbon emissions,and the population index changes direction;second,per capita wealth on the long-term effects of carbon emissions the weakest level,when the stable economic development,per capita wealth and carbon emissions in the same direction change,stagnation or recession,per capita wealth and carbon emission changes in reverse direction;third,the social progress of science and technology has a long-term negative impact on carbon emissions,but its development speed is slow.According to the above conclusion after analysis of main problems of carbon emissions in Jilin Province,put forward the following suggestions: first,Jilin province should vigorously promote scientific and technological progress,improve energy efficiency;second,promote social development,promote low-carbon life,starting from the people's living habits,reduce carbon emissions;third,develop the third industry to achieve economic reasonable structure.
Keywords/Search Tags:Carbon emission, Grey relational grade, STIRPAT model, Ridge regression, Decoupling analysis
PDF Full Text Request
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