Study On Carbon Impact Factors And Emission Reduction Paths In China

Energy, as an indispensable material resource of human survival, economic development and social progress, which is not only the basic production factor of the economic system, but also is the basic material for the development of economy and society. With the energy and environmental problems becoming more and more prominent, how to coordinate energy-environment-economy (3E) system has become an important issue for China, and even for the world to deal with economic development and climate change. On the basis of combing domestic and foreign literature, this paper estimates the carbon emissions of China, and makes an empirical study on the impact factors, which can provide reference for designing China’s emission reducing path.The main research contents include the following aspects:First, on the basis of combing the relevant literature, the selection of material balance algorithm, China’s carbon emissions were measured(for calculates the carbon emissions in China during 1970-2012), and then from two perspectives of the time and space analyzed and researched the status of carbon emissions in China, summarized and summed up the characteristics of carbon emissions in china.Second, this paper is based on the analysis of the advantages and disadvantages of York and other scholars related research models, and then established the STIRPAT (Stochastic Impacts by Regression on PAT) by using IPAT model. Used by the STIRPAT researched the impact factors of carbon emissions in China. I chose the ridge regression analysis method, in order to avoid multicollinearity of parameter in solving process. At the same time, the impulse response analysis was carried out by the VAR model, and analyzed the impact of the factors on carbon emissions.Third, the national and provincial carbon emissions EKC hypothesis was discussed, in order to clarify the relationship between carbon emissions and economic development level with the deformation of the STIRPAT model. The results show that the "U" type curve has not occurred in the country. However, Beijing, Shanghai, and Tianjin have already appeared inverted "U" curve.