The Analysis On The Initial Allowance Allocation And Tarding Of Carbon Emission

"Low-carbon economy" has become the theme of the times, it is a common choice of history and reality;And carbon emissions gradually become an important constraint condition for sustainable economicdevelopment, it also will become the consistent pursuit of human development. Chinese government hasalways attached great importance to climate change, China implemented The National Plan to AddressClimate Change among all developing countries firstly. The Eighteenth National Congress of theCommunist Party of China also once again stressed the importance of the construction of ecologicalcivilization. However, due to the complicated natural conditions and economic development in differentregions, the carbon dioxide reduction pressure is increasing, the difficulty of the work on climate change isalso growing. By introducing market mechanism, the establishment of a carbon trading market can help tocontrol and cut greenhouse gas emissions. This paper based on the theory of emissions trading, bycomparison with the volume and the analysis on historical, makes a deep discussion on China’s carbonemissions control mechanism and the initial allocation of the trading mechanism, provides the theory basis.By reviewing the relevant research papers on carbon emissions trading abroad, this paper try to find asuitable way to control the carbon emissions for China. Theil index systematically analyzes the regionalcarbon emission distribution characteristics and differences;ELC curve analyzes the carbon emissionsreduction potential and predicts the conditions of future periods, explores the reality of emissionreduction target. The application of DEA method tries to make a initial distribution of carbon emissions theareas under the total target. Finally, based on the system study on the construction of China’s carbonemissions trading scheme, providing a theoretical guidance for the construction of China’s carbonemissions trading market. The main conclusions are as follows:First, carbon emissions and regional difference analysis results show that Theil index quantitativeChina’s regional carbon emissions gap, results show that the efficiency of China’s carbon emissions are notuniform both in time and space distribution; Since2006, per unit of GDP carbon emissions and per capitacarbon emissions and difference to be markedly reduced gradually; The western region is the main cause ofthe high carbon intensity has played a pivotal role in accomplishing carbon emissions targets.Second, the potential for carbon emission analysis and forecasting results show that: ELC curve showsthe "environmental learning effect" is significant in Chinese provinces. The reduction potential in easternprovinces is larger than the western provinces; Chinese carbon intensity in2020is expected to expected to44.14%lower than the carbon intensity of2005.Thirdly, the initial allocation based on the total amount control of the carbon emissions results showthat the DEA-CAF allocation method is feasible and effective. Using the prediction of ELC curve totalemissions as the target, and compare the results of DEA-CAF method with traditional allocation method.The results show that the distribution of the DEA scheme fully embodies the fairness, efficiency andfeasibility, and effectively reduce the carbon emissions gap between the regions. This method can be usedas a method of initial allocation of carbon emissions trading market.Fourthly, the exploration of the construction of China’s carbon trading market shows: China’s carbonmarket should be in the form of mandatory type market, with carbon quotas as the transaction object.According to this development sequence to construct the carbon market: east first, west later; industry first,agriculture later; quota first, compensation later; region first, the whole country later.Finally, based on the paper’s research results, combined with China’s national conditions, draw lessonsfrom foreign advanced experience, this paper put forward five suggestions: find a new calculation methodof custom carbon footprint, formulate new policies to reduce emissions, seek new technology to reducecarbon emission, build cooperation mechanisms to reduce emissions and establish of a new trading systemcarbon emissions.