Allocation of carbon emission quotas in China’s provincial power sector based on entropy method and ZSG-DEA

By Xiaoyan Cui, Tao Zhao, Juan Wang. 2020

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Abstract The power sector accounted for almost 40% of China’s carbon emissions in 2017 and is the first industry that is included in the national carbon emission trading system, so the current paper carries out a study on allocating carbon emission allowances for the power sector. Different from previous studies, this article assigns carbon emission allowances to 30 provinces according to the principles of equality, efficiency, and sustainability rather than just using the principles of equality and efficiency. We first apply the entropy method to initially distribute emission allowances to 30 provinces. Then, a zero-sum gains data envelopment analysis (ZSG-DEA) model is used to test the efficiency of quota allocation and redistribute the carbon quotas across 30 provinces continuously until the quotas are optimally distributed. The results show that in 2030, Guangxi, Hainan and Shandong have the most emission quotas, while Heilongjiang, Jilin and Qinghai have the least emission quotas. By comparing the quota share of each province in 2017 with 2030, it is found that Hainan, Guangxi and Qinghai located in western China have small emission reduction challenges, while there are great difficulties for provinces Jiangsu, Shanxi and Shandong situated in the central and eastern China to cut down the emissions.

Subfields: Electrical and Electronic Engineering, Environmental Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/32aff0cf33d6c37389337065179e336e56d43e16