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Quota Allocation for Carbon Emissions in China’s Electric Power Industry Based Upon the Fairness Principle

Author

Listed:
  • Ming Meng

    (Department of Economics and Management, North China Electric Power University, Baoding 071003, China)

  • Lixue Wang

    (Department of Economics and Management, North China Electric Power University, Baoding 071003, China)

  • Qu Chen

    (Department of Economics and Management, North China Electric Power University, Baoding 071003, China)

Abstract
As an essential measure to mitigate the CO 2 emissions, China is constructing a nationwide carbon emission trading (CET) market. The electric power industry is the first sector that will be introduced into this market, but the quota allocation scheme, as the key foundation of market transactions, is still undetermined. This research employed the gross domestic product (GDP), energy consumption, and electric generation data of 30 provinces from 2001 to 2015, a hybrid trend forecasting model, and a three-indicator allocation model to measure the provincial quota allocation for carbon emissions in China’s electric power sector. The conclusions drawn from the empirical analysis can be summarized as follows: (1) The carbon emission peak in China’s electric power sector will appear in 2027, and peak emissions will be 3.63 billion tons, which will surpass the total carbon emissions of the European Union (EU) and approximately equal to 2/3 of the United States of America (USA). (2) The developed provinces that are supported by traditional industries should take more responsibility for carbon mitigation. (3) Nine provinces are expected to be the buyers in the CET market. These provinces are mostly located in eastern China, and account for approximately 63.65% of China’s carbon emissions generated by the electric power sector. (4) The long-distance electric power transmission shifts the carbon emissions and then has an impact on the quotas allocation for carbon emissions. (5) The development and effective utilization of clean power generation will play a positive role for carbon mitigation in China’s electric sector.

Suggested Citation

  • Ming Meng & Lixue Wang & Qu Chen, 2018. "Quota Allocation for Carbon Emissions in China’s Electric Power Industry Based Upon the Fairness Principle," Energies, MDPI, vol. 11(9), pages 1-16, August.
    • Handle: RePEc:gam:jeners:v:11:y:2018:i:9:p:2256-:d:166105
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    References listed on IDEAS

    as
    1. Jaehyung An & Jinho Lee, 2018. "A Newsvendor Non-Cooperative Game for Efficient Allocation of Carbon Emissions," Sustainability, MDPI, vol. 10(1), pages 1-14, January.
    2. David Wachsmuth & Daniel Aldana Cohen & Hillary Angelo, 2016. "Expand the frontiers of urban sustainability," Nature, Nature, vol. 536(7617), pages 391-393, August.
    3. Liu, Liwei & Sun, Xiaoru & Chen, Chuxiang & Zhao, Erdong, 2016. "How will auctioning impact on the carbon emission abatement cost of electric power generation sector in China?," Applied Energy, Elsevier, vol. 168(C), pages 594-609.
    4. Zhou, P. & Wang, M., 2016. "Carbon dioxide emissions allocation: A review," Ecological Economics, Elsevier, vol. 125(C), pages 47-59.
    5. Zhou, P. & Sun, Z.R. & Zhou, D.Q., 2014. "Optimal path for controlling CO2 emissions in China: A perspective of efficiency analysis," Energy Economics, Elsevier, vol. 45(C), pages 99-110.
    6. Ji, Jingna & Zhang, Zhiyong & Yang, Lei, 2017. "Comparisons of initial carbon allowance allocation rules in an O2O retail supply chain with the cap-and-trade regulation," International Journal of Production Economics, Elsevier, vol. 187(C), pages 68-84.
    7. Yu, Shiwei & Wei, Yi-Ming & Fan, Jingli & Zhang, Xian & Wang, Ke, 2012. "Exploring the regional characteristics of inter-provincial CO2 emissions in China: An improved fuzzy clustering analysis based on particle swarm optimization," Applied Energy, Elsevier, vol. 92(C), pages 552-562.
    8. Dai, Hancheng & Xie, Yang & Liu, Jingyu & Masui, Toshihiko, 2018. "Aligning renewable energy targets with carbon emissions trading to achieve China's INDCs: A general equilibrium assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 4121-4131.
    9. Fan Dai & Ling Xiong & Ding Ma, 2017. "How to Set the Allowance Benchmarking for Cement Industry in China’s Carbon Market: Marginal Analysis and the Case of the Hubei Emission Trading Pilot," Sustainability, MDPI, vol. 9(2), pages 1-15, February.
    10. Cong, Rong-Gang & Wei, Yi-Ming, 2012. "Experimental comparison of impact of auction format on carbon allowance market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(6), pages 4148-4156.
    11. John P. Smol, 2012. "Climate Change: A planet in flux," Nature, Nature, vol. 483(7387), pages 12-15, March.
    12. Meng, Ming & Niu, Dongxiao & Shang, Wei, 2014. "A small-sample hybrid model for forecasting energy-related CO2 emissions," Energy, Elsevier, vol. 64(C), pages 673-677.
    13. Yi, Wen-Jing & Zou, Le-Le & Guo, Jie & Wang, Kai & Wei, Yi-Ming, 2011. "How can China reach its CO2 intensity reduction targets by 2020? A regional allocation based on equity and development," Energy Policy, Elsevier, vol. 39(5), pages 2407-2415, May.
    14. Xu, Jiuping & Yang, Xin & Tao, Zhimiao, 2015. "A tripartite equilibrium for carbon emission allowance allocation in the power-supply industry," Energy Policy, Elsevier, vol. 82(C), pages 62-80.
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    Cited by:

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    2. Wen-Hsien Tsai, 2019. "Modeling and Simulation of Carbon Emission-Related Issues," Energies, MDPI, vol. 12(13), pages 1-8, July.

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