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Game analysis on the choice of emission trading among industrial enterprises driven by data

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  • Hong, Zitao
  • Peng, Zhen
  • Zhang, Liumei

Abstract

The construction and promotion of emission trading information platform makes it possible for enterprises to collect and use emission rights and other data. How to conduct game analysis for industrial enterprises' emission trading under data driven has become an effective basis and inevitable trend to assist enterprises to achieve emission reduction and optimal decision-making. However, existing game methods are not used for comprehensive optimal decision for enterprises based on these data. Therefore, this paper integrates dynamic game and data to effectively solve optimal choice in the process of emission trading among industrial enterprises. The bargaining dynamic game model and forward reasoning method are proposed to realize the game analysis of emission trading among enterprises in the secondary market based on the data mining or evaluation of pollutant emissions, market price and marginal revenue of emission rights and initial emission rights by Support Vector Regression (SVR), Linear Regression (LR) and Analytical Hierarchy Process (AHP). Taking six industrial enterprises in Tianjin as an example, this paper analyzes the optimal trading price, trading volume and object of emission trading among different enterprises under different loss factors.

Suggested Citation

  • Hong, Zitao & Peng, Zhen & Zhang, Liumei, 2022. "Game analysis on the choice of emission trading among industrial enterprises driven by data," Energy, Elsevier, vol. 239(PE).
    • Handle: RePEc:eee:energy:v:239:y:2022:i:pe:s0360544221026967
    DOI: 10.1016/j.energy.2021.122447
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    References listed on IDEAS

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    1. Qunli Wu & Hongjie Zhang, 2019. "Research on Optimization Allocation Scheme of Initial Carbon Emission Quota from the Perspective of Welfare Effect," Energies, MDPI, vol. 12(11), pages 1-27, June.
    2. Bin Wu & Wanying Huang & Pengfei Liu, 2017. "Carbon Reduction Strategies Based on an NW Small-World Network with a Progressive Carbon Tax," Sustainability, MDPI, vol. 9(10), pages 1-22, September.
    3. Cong, Rong-Gang & Wei, Yi-Ming, 2010. "Potential impact of (CET) carbon emissions trading on China’s power sector: A perspective from different allowance allocation options," Energy, Elsevier, vol. 35(9), pages 3921-3931.
    4. Lin, Boqiang & Jia, Zhijie, 2018. "Impact of quota decline scheme of emission trading in China: A dynamic recursive CGE model," Energy, Elsevier, vol. 149(C), pages 190-203.
    5. Gao, Yuning & Li, Meng & Xue, Jinjun & Liu, Yu, 2020. "Evaluation of effectiveness of China's carbon emissions trading scheme in carbon mitigation," Energy Economics, Elsevier, vol. 90(C).
    6. Zhang, Cheng & Wang, Qunwei & Shi, Dan & Li, Pengfei & Cai, Wanhuan, 2016. "Scenario-based potential effects of carbon trading in China: An integrated approach," Applied Energy, Elsevier, vol. 182(C), pages 177-190.
    7. Gitizadeh, Mohsen & Kaji, Mahdi & Aghaei, Jamshid, 2013. "Risk based multiobjective generation expansion planning considering renewable energy sources," Energy, Elsevier, vol. 50(C), pages 74-82.
    8. Tan, Qinliang & Ding, Yihong & Zheng, Jin & Dai, Mei & Zhang, Yimei, 2021. "The effects of carbon emissions trading and renewable portfolio standards on the integrated wind–photovoltaic–thermal power-dispatching system: Real case studies in China," Energy, Elsevier, vol. 222(C).
    9. Fei Ye & Lixu Li & Zhiqiang Wang & Yina Li, 2018. "An Asymmetric Nash Bargaining Model for Carbon Emission Quota Allocation among Industries: Evidence from Guangdong Province, China," Sustainability, MDPI, vol. 10(11), pages 1-18, November.
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    7. Xinxin Liao & Zhuo Ning, 2022. "Welfare Implications of Border Carbon Adjustments on the Trade of Harvested Wood Products," IJERPH, MDPI, vol. 20(1), pages 1-16, December.

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