Resources Science ›› 2020, Vol. 42 ›› Issue (11): 2170-2183.doi: 10.18402/resci.2020.11.10

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Carbon emission reduction allocation strategy based on the context-dependent DEA method

ZHU Weiwei1,2,3(), MIAO Ziyang1,2(), GAN Guisheng4   

  1. 1. Institute of High-Quality Development Evaluation, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
    2. Research Center of Information Industry Integrated Innovation and Emergency Management, Nanjing University of Posts and Telecommunications, Nanjing 210003, China;
    3. School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212003, China
    4. Jiangsu Etern Company Limited, Suzhou 215211, China
  • Received:2019-11-25 Revised:2020-06-04 Online:2020-11-25 Published:2021-01-25
  • Contact: MIAO Ziyang E-mail:kirbyzhu@vip.163.com;miaozychina@163.com

Abstract:

Carbon emission control is an important part of the global response to climate change under the new situation of development. It is urgent to establish a set of carbon emission reduction distribution plans that takes both efficiency and fairness into account. 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 of 30 provinces (municipalities, autonomous regions) 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.

Key words: Context-dependent DEA, carbon emissions, resource allocation, Gini coefficient, China