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Carbon resource reallocation with emission quota in carbon emission trading system

Author

Listed:
  • Qingxian An

    (School of Business, Central South University, Changsha, Hunan)

  • Kefan Zhu

    (School of Business, Central South University, Changsha, Hunan)

  • Beibei Xiong

    (Business School, Hunan University, Changsha, Hunan)

  • Zhiyang Shen

    (LEM - Lille économie management - UMR 9221 - UA - Université d'Artois - UCL - Université catholique de Lille - Université de Lille - CNRS - Centre National de la Recherche Scientifique)

Abstract

In this study, a two-stage data envelopment analysis approach is developed to examine resource allocation in a real-world carbon emissions trading system. First, this study focuses on the actual participation process of incorporated units in the trading system, where incorporated units will be allocated with a carbon emission quota. Second, we propose a research structure for the carbon trading process with two stages. The first stage is to identify congestion, and the second stage is to trade among the units. We make a sensitivity analysis by considering restrictive parameters on the initial carbon emission quota. Then, we expand the research with a target-setting model that retains production technology from the previous year to set the target output for the following year. The congestion and the trading amount for each unit could be determined in advance. Furthermore, these results are able to anticipate the trading situation and provide valuable recommendations for the production and trading of the analyzed units. Finally, the proposed approach is applied to analyze 13 cities in Hubei Province to investigate their congestion and trading conditions.

Suggested Citation

  • Qingxian An & Kefan Zhu & Beibei Xiong & Zhiyang Shen, 2023. "Carbon resource reallocation with emission quota in carbon emission trading system," Post-Print hal-03974850, HAL.
    • Handle: RePEc:hal:journl:hal-03974850
    DOI: 10.1016/j.jenvman.2022.116837
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    Citations

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    Cited by:

    1. Shobande, Olatunji A. & Ogbeifun, Lawrence & Tiwari, Aviral Kumar, 2024. "Extricating the impacts of emissions trading system and energy transition on carbon intensity," Applied Energy, Elsevier, vol. 357(C).
    2. Chu, Junfei & Hou, Tianteng & Li, Feng & Yuan, Zhe, 2024. "Dynamic bargaining game DEA carbon emissions abatement allocation and the Nash equilibrium," Energy Economics, Elsevier, vol. 134(C).
    3. Zhong, Tingyong & Ma, Fuqi & Sun, Fangcheng & Li, Jiangna, 2024. "Can green finance reduce corporate carbon risk?," Finance Research Letters, Elsevier, vol. 63(C).
    4. Di Wang & Daozhi Zhao & Fang Chen & Xin Tang, 2024. "Research on Energy Trading Mechanism Based on Individual Level Carbon Quota," Sustainability, MDPI, vol. 16(13), pages 1-15, July.
    5. He, Yixiong & Zhang, Fengxuan & Wang, Yanwei, 2023. "How to facilitate efficient blue carbon trading? A simulation study using the game theory to find the optimal strategy for each participant," Energy, Elsevier, vol. 276(C).
    6. Zhang, Qi & Zhu, Xide & Lin, Gui-Hua, 2024. "Green technological licensing strategies with fixed-fee among rival firms under emissions trading scheme," European Journal of Operational Research, Elsevier, vol. 318(1), pages 110-130.

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