Carbon Emission Reduction Allocation Strategy Based On The Context-dependent DEA Method

Carbon emission control is an important part of global response to climate change in the new situation.Major countries in the world are actively participating in Global Climate Governance and undertaking corresponding emission reduction responsibilities.As a responsible big country,China has also put forward a series of emission reduction targets at the national level.In order to effectively implement the emission reduction commitments,it is necessary to establish a set of emission reduction target sharing scheme with efficiency and fairness as the main body.Research on the allocation of emission reductions based on the DEA method has achieved certain results,but such methods have the following two problems: on the one hand,the models used are mostly concentrated on the basic DEA model,central resource allocation DEA model and zero sum gain DEA model;On the other hand,there is the problem that the emission reduction allocation plan is too theoretical,and often ignores the actual bearing capacity of the emission reduction subject,resulting in the phenomenon of excessive emission reduction from the actual operability.Based on the efficiency evaluation results,this study adopted the context-dependent data envelopment analysis(DEA)method that is fair in nature and introduced the emission reduction capacity coefficient that can ensure fairness in constructing an improved central resource allocation model.It used the data of30 provinces of China’s mainland in 2016 as an example to carry out the carbon emission reduction allocation,and finally measured the fairness of the allocation scheme by Gini coefficient.The results show that:(1)The carbon emission efficiency of the eastern region is significantly better than that of the central and the western regions,and the amount of emission reduction required is also higher than that of the central and the western regions.(2)The actual carbon emissions of some large traditional energy provinces(autonomous regions)show a large gap from the target carbon emissions,which are in a state of serious over emission and low carbon emission efficiency,and it is necessary to accelerate the pace of economic transformation and implement emission policies strictly in these provinces(autonomous regions).(3)The carbon emission reduction distribution plan reasonably improves the carbon emission efficiency of the provinces(municipalities,autonomous regions)and reduces the Gini coefficient to a certain extent.The research results not only provides a new perspective on how to allocate emission reductions effectively and fairly,but also provides a reference for the decomposition of emission reduction targets at the national level and the formulation of emission reduction policies at the provincial level.