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A Study of the Allocation of Carbon Emission Permits among the Provinces of China Based on Fairness and Efficiency

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  • Huiqin Jiang

    (College of Politics and Public Administration, Zhejiang University of Technology, Hangzhou 310023, China
    Center for Green Low-Carbon Development Research, Zhejiang University of Technology, Hangzhou 310023, China
    College of Economics and Management, Zhejiang University of Technology, Hangzhou 310023, China)

  • Xinxiao Shao

    (College of Politics and Public Administration, Zhejiang University of Technology, Hangzhou 310023, China)

  • Xiao Zhang

    (College of Politics and Public Administration, Zhejiang University of Technology, Hangzhou 310023, China)

  • Jianqiang Bao

    (College of Politics and Public Administration, Zhejiang University of Technology, Hangzhou 310023, China
    Center for Green Low-Carbon Development Research, Zhejiang University of Technology, Hangzhou 310023, China)

Abstract

Carbon emissions trading systems are implemented to limit the total quantity of carbon emitted. Such trading systems are the main policy tool used by countries worldwide to address climate change. The initial allocation of carbon emission permits is the starting point of a carbon emissions trading system, and it represents the core of such a system. The provinces of China differ in terms of their population, stage of development, economic level, energy structure and industrial structure. Thus, performing the initial allocation of carbon emission permits among the provinces is a key difficulty. This paper focuses on the initial allocation of carbon emission permits among the provinces of China from the perspective of fairness and constructs a model of the initial inter-provincial allocation of carbon emission permits. In addition, a data envelopment analysis (DEA) model including undesirable outputs is used to optimize the resulting fair distribution from the perspective of efficiency.

Suggested Citation

  • Huiqin Jiang & Xinxiao Shao & Xiao Zhang & Jianqiang Bao, 2017. "A Study of the Allocation of Carbon Emission Permits among the Provinces of China Based on Fairness and Efficiency," Sustainability, MDPI, vol. 9(11), pages 1-17, November.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:11:p:2122-:d:119248
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    Cited by:

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    4. Song, Yazhi & Liu, Tiansen & Liang, Dapeng & Li, Yin & Song, Xiaoqiu, 2019. "A Fuzzy Stochastic Model for Carbon Price Prediction Under the Effect of Demand-related Policy in China's Carbon Market," Ecological Economics, Elsevier, vol. 157(C), pages 253-265.
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    6. Yong Bian & Zhi Yu & Xuelan Zeng & Jingchun Feng & Chao He, 2018. "Achieving China’s Long-Term Carbon Emission Abatement Targets: A Perspective from Regional Disparity," Sustainability, MDPI, vol. 10(11), pages 1-19, November.
    7. Tang, Ling & Wang, Haohan & Li, Ling & Yang, Kaitong & Mi, Zhifu, 2020. "Quantitative models in emission trading system research: A literature review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 132(C).
    8. Jianguo Zhou & Yushuo Li & Xuejing Huo & Xiaolei Xu, 2019. "How to Allocate Carbon Emission Permits Among China’s Industrial Sectors Under the Constraint of Carbon Intensity?," Sustainability, MDPI, vol. 11(3), pages 1-21, February.
    9. Xin-gang Zhao & Yu-zhuo Zhang, 2018. "The System Dynamics (SD) Analysis of the Government and Power Producers’ Evolutionary Game Strategies Based on Carbon Trading (CT) Mechanism: A Case of China," Sustainability, MDPI, vol. 10(4), pages 1-18, April.
    10. Feng Xiong & Xiaoyu Zeng & Yi (Fionna) Xie & Yan Li, 2022. "Design (Allocation) of a Carbon Emission System—A Lesson from Power Restrictions in Zhejiang, China," Sustainability, MDPI, vol. 14(19), pages 1-31, September.

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