Research On Shanxi Province Carbon Emissions And Influence Factors

In recent years, the emergence of a global extreme weather, climatic andenvironmental issues have been widely concerned all over the world. Many scholarsthought that this kind of abnormal climate has a strong relationship with excessiveemission of greenhouse gases, while Carbon dioxide emissions account for the majorpart of the greenhouse gas.The current research on carbon dioxide emissions at home and abroad mainlyfocuses on four aspects. First, researches on methods of measuring carbon emissions.The main methods include out-door measurement, material balance method, themethod of discharge coefficient and the method of life cycle. Second, studies onfactors which affect the amount of carbon emissions. The main method comprisesindex decomposition analysis, input-output analysis and general equilibrium method,and econometric analysis. Third, studies on prediction of carbon peak emissions andthe curve fitting of carbon emissions. Fourth, studies on other problems which putcarbon emissions as a factor. This paper mainly researches on first and second pointsand interprets my opinions about them.This paper presents an optimized calculation method for carbon dioxideemissions. And it categorizes fossil fuels which produce carbon dioxide into8kinds:the raw coal, coke, gasoline, kerosene, diesel, fuel oil, liquefied petroleum gas andnatural gas. Because of the relations of transformation among coal, coke and othercoal products, the coke data cannot be directly used to compute carbon dioxideemissions. The right thing is calculating coke increment. The carbon dioxideemissions by cement, lime, calcium carbide and carbon steel industries play a big partrole in all corporations which produce carbon dioxide, in which the cement industryaccounts for56.8%. Therefore this thesis incorporates the factor of cement industryinto the computation of carbon dioxide emission and then calculates total emissionsusing these9factors.The six provinces of middle part of China is the China Central Economic Zone. They have some similar parts such economic development, industrial structure and soon. That is the reason why they are integrated into one area and it provides atheoretical basis for the analysis of panel data. STIRPAT model is a classical methodof quantitative study on population, affluence, and technical factors. This thesisconstructs a STIRPAT model, conducts covariance analysis and unit root test onpanel data of six provinces in Central China. In the end, the model deploys SURmethod and gets the expected model results.Last but not least, this thesis predicts carbon dioxide emissions of2011,2012and2013in Shanxi Province and gives several policy recommendations:First, advocate green economic development model.Second, continue to promote the integration of coal resources and merger andreorganization of enterprises.Third, adjust industrial structure.Fourth, enhance the innovation ability in the economic activities.Fifth, perfect the mechanism of industrial transformation and the environmentalprotection system.