Study On The Evaluation Of The Efficiency Of Carbon Dioxide Emission In China Based On The Super Efficiency DEA Model

With substantial resource consumption caused by an increase in carbon dioxide emissions, global warming has become an important climate issue the world facing today; some time ago, fog and haze weather plagued more than half of China, this kind of economic development at the expense of environmental practices has posed a serious threat on China’s economy sustainable development. So that people have to pay attention to the greenhouse effect the rapid economic development brings, these all alert people the force of economic development should not simply pursuits efficiency of capital and labor, but should pay due attention to resource efficiency and environmental efficiency, in order to achieve economy, resources and environment coordinated and sustainable development. Energy conservation is an important way to build environment-friendly society, which is an important policy principle and guide to economic development, and it is conducive to the macro level of national planning, on the micro level in favor of people’s livelihood. "The civilization thrives when the ecological thrives, the civilization decays when the ecological decays ". Therefore, scientific evaluate China’s carbon dioxide emissions efficiency levels, analysis of the difference between the forecast area, analysis of the influencing factors of the discharge efficiency, pursuit ways to enhance the discharge efficiency, which is very meaningful to the positive change of our economic development, promotion of the coordination and sustainable development of Economy- Environment – Resources society.Contents of this paper mainly from the following four aspects:(1) China’s carbon dioxide emissions efficiency evaluation. In the first, on the basis of reading a lot of literature, this paper studies the current situation and theory related to carbon dioxide emissions efficiency evaluation at home and abroad, then establish the super-efficiency DEA optimization model, evaluate the efficiency of carbon dioxide emissions from2006 to 2013 at provincial level, analyze the DEA efficiency advantages, disadvantages efficiency and overall efficiency from a more comprehensive angle which makes up the defect of DEA method. Evaluation results show that the efficiency of China’s carbon dioxide emissions presents the distribution pattern of "East-Middle- West" decreasing; then compared the carbon dioxide emission efficiency of the three regions of China and the East, middle and west regions from the static and dynamic dimensions.(2) The influence factors of carbon dioxide emission efficiency. By Tobit regression model to analyze five factors: the level of urbanization, industrial structure, energy structure, energy technology and the degree of opening to the outside world that impact on the efficiency of carbon dioxide emissions, and the impact factor is also included in the Super Efficiency DEA efficiency models were evaluated. Conclusions show that the industrial structure, energy-saving technology, the degree of opening to the outside world and urbanization have significant positive impacts on the efficiency of carbon dioxide emissions, while energy structure has a negative effect.(3) Carbon dioxide emissions efficiency predictive analysis. Applied grey system prediction analysis to the discharge efficiency, using grey GM(1,1) model to predict and analysis the carbon dioxide emission efficiencies of the three regions and the whole nation level: predict carbon dioxide emissions efficiency values from 2014-2020, and analyze the future direction of the discharge efficiency through the predict values. Conclusions show that the efficiency of the regional carbon dioxide emissions will increase steadily, carbon dioxide emissions and the efficiency of the three major regions of the passage of a convergence trend over time.(4) Promotion Strategy Efficiency of carbon dioxide emissions. It proposes policies to improve the overall efficiency of China’s and different regional carbon dioxide emissions from the policy trends, industrial structure, openness, energy-saving technology, energy structure.