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The Sustainable Development of the Economic-Energy-Environment (3E) System under the Carbon Trading (CT) Mechanism: A Chinese Case

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  • Xingang Zhao

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, Beijing 102206, China)

  • Yuzhuo Zhang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, Beijing 102206, China)

  • Ji Liang

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China)

  • Yanbin Li

    (School of Economics and Management, North China Electric Power University, Beijing 102206, China
    Beijing Key Laboratory of New Energy and Low-Carbon Development, Beijing 102206, China)

  • Rongda Jia

    (State Grid Energy Conservation Service Co., Ltd., Beijing 100052, China)

  • Ling Wang

    (State Grid Liaoning Electric Power Co., Ltd., Benxi Power Supply Company, Benxi 117020, China)

Abstract

The implementation of the carbon trading (CT) mechanism is important for the transformation of China’s renewable energy industry, thereby affecting the structure of energy, economy, and the environment, and determining the sustainable development of China’s economic-energy-environment (3E) system in the future. This paper constructs a 3E system simulation model under the CT mechanism based on the theory of system dynamics and taking the Beijing-Tianjin-Hebei region as an example. We study the internal operation mechanism of the carbon emissions trading system and its impact on 3E by combing the related mechanisms of the CT market, CO 2 emissions, energy consumption, and gross domestic product (GDP), thereby helping to provide references for policy-making institutions. The results show that the implementation of CT can effectively reduce energy consumption growth and carbon emissions in the Beijing-Tianjin-Hebei region, and the negative impact of CT implementation on GDP is significantly lower than its positive impact on reducing carbon emissions and energy consumption. Thus, the CT mechanism is conducive to the sustainable development of the Beijing-Tianjin-Hebei region’s 3E system. In addition, reducing the total amount of quota, reducing free quota, and increasing CT price can effectively promote carbon emission reduction, thus promoting the sustainable development of the 3E system.

Suggested Citation

  • Xingang Zhao & Yuzhuo Zhang & Ji Liang & Yanbin Li & Rongda Jia & Ling Wang, 2018. "The Sustainable Development of the Economic-Energy-Environment (3E) System under the Carbon Trading (CT) Mechanism: A Chinese Case," Sustainability, MDPI, vol. 10(1), pages 1-21, January.
  • Handle: RePEc:gam:jsusta:v:10:y:2018:i:1:p:98-:d:125228
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    References listed on IDEAS

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    1. Rannou, Yves & Barneto, Pascal, 2016. "Futures trading with information asymmetry and OTC predominance: Another look at the volume/volatility relations in the European carbon markets," Energy Economics, Elsevier, vol. 53(C), pages 159-174.
    2. Kanamura, Takashi, 2016. "Role of carbon swap trading and energy prices in price correlations and volatilities between carbon markets," Energy Economics, Elsevier, vol. 54(C), pages 204-212.
    3. Zhao, Xin-gang & Wu, Lei & Li, Ang, 2017. "Research on the efficiency of carbon trading market in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1-8.
    4. Ming, Zeng & Kun, Zhang & Jun, Dong, 2013. "Overall review of China's wind power industry: Status quo, existing problems and perspective for future development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 379-386.
    5. Sgouris Sgouridis & Denes Csala, 2014. "A Framework for Defining Sustainable Energy Transitions: Principles, Dynamics, and Implications," Sustainability, MDPI, vol. 6(5), pages 1-22, May.
    6. 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.
    7. Zhao, Xin-gang & Jiang, Gui-wu & Nie, Dan & Chen, Hao, 2016. "How to improve the market efficiency of carbon trading: A perspective of China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 59(C), pages 1229-1245.
    8. Schleich, Joachim & Rogge, Karoline S. & Betz, Regina, 2008. "Incentives for energy efficiency in the EU Emissions Trading Scheme," Working Papers "Sustainability and Innovation" S2/2008, Fraunhofer Institute for Systems and Innovation Research (ISI).
    9. Tang, Ling & Wu, Jiaqian & Yu, Lean & Bao, Qin, 2015. "Carbon emissions trading scheme exploration in China: A multi-agent-based model," Energy Policy, Elsevier, vol. 81(C), pages 152-169.
    10. Guo, Xiaodan & Guo, Xiaopeng, 2015. "China's photovoltaic power development under policy incentives: A system dynamics analysis," Energy, Elsevier, vol. 93(P1), pages 589-598.
    11. Mo, Jian-Lei & Zhu, Lei & Fan, Ying, 2012. "The impact of the EU ETS on the corporate value of European electricity corporations," Energy, Elsevier, vol. 45(1), pages 3-11.
    12. Zhao, Hongyan & Zhang, Qiang & Huo, Hong & Lin, Jintai & Liu, Zhu & Wang, Haikun & Guan, Dabo & He, Kebin, 2016. "Environment-economy tradeoff for Beijing–Tianjin–Hebei’s exports," Applied Energy, Elsevier, vol. 184(C), pages 926-935.
    13. Yi Zuo & Ying-ling Shi & Yu-zhuo Zhang, 2017. "Research on the Sustainable Development of an Economic-Energy-Environment (3E) System Based on System Dynamics (SD): A Case Study of the Beijing-Tianjin-Hebei Region in China," Sustainability, MDPI, vol. 9(10), pages 1-23, September.
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