Abstract
The carbon emission of China’s industry accounts for more than 70 % of the total in the nation, thus the implementation of carbon emission quota trading in industry is of great importance to realize China’s national carbon emission reduction targets. Meanwhile, the allocation of carbon emission quota among sectors or enterprises proves the first and critical step. For this reason, this paper constructs a comprehensive index combined with the subjective, objective and linear combination weighting methods to allocate carbon emission quotas among the 39 sectors of China’s industry in 2020 based on the level of 2015, and employs the input-oriented ZSG-DEA model to examine the efficiency of allocation solutions in 2020. The results indicate that, first, when carbon emission reduction capacity, responsibility and potential are considered for the comprehensive index of carbon emission quota allocation, the mitigation responsibility plays a relatively higher role than other two indicators. Second, all of the subjective, objective and linear combination weighting methods can be used for effective allocation of carbon emission quotas, and the former two methods have less advantage in light of efficiency. Third, six key industrial sectors are respectively allocated over 500 million tonnes of carbon emission quotas in 2020, which together account for 91.77 % of the total in the industry. Finally, the final carbon emission quota allocation solution reflects both the equity and efficiency principles and achieve the Pareto optimal state.
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Acknowledgments
We gratefully acknowledge the financial support from the National Natural Science Foundation of China (Nos. 71273028, 71322103) and the National Special Support Program for High-Level Personnel from the central government of China. We also would like to thank three responsible anonymous reviewers for their constructive comments and thank Dr. Ke Wang for his great help for the ZSG-DEA model.
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Zhang, YJ., Hao, JF. Carbon emission quota allocation among China’s industrial sectors based on the equity and efficiency principles. Ann Oper Res 255, 117–140 (2017). https://doi.org/10.1007/s10479-016-2232-2
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DOI: https://doi.org/10.1007/s10479-016-2232-2