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Research on the influence mechanism of carbon trading on new energy—A case study of ESER system for China

Author

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  • Fang, Guochang
  • Lu, Longxi
  • Tian, Lixin
  • he, Yu
  • Yin, Huibo

Abstract

This paper attempts to explore the influence mechanism of carbon trading on new energy based on a novel nonlinear energy-saving and emission-reduction system. The dynamics behavior of the novel system is discussed, and the existence of chaotic motion is approved by using digital simulation. With the aid of genetic algorithm-back propagation neural network, the quantitative coefficients of the actual system are identified according to Chinese statistics. The result of scenario analysis shows that carbon trading can drive the development of new energy under given conditions, the driving effect is closely related to a threshold. The mature carbon trading can control carbon emissions and energy intensity effectively. The more perfect carbon trading market can better promote the development of new energy when meets such constraints. Carbon trading and new energy are very sensitive to government control. Grasping the reasonable boundary of government and market is the key to realize sustainable development of carbon trading and new energy.

Suggested Citation

  • Fang, Guochang & Lu, Longxi & Tian, Lixin & he, Yu & Yin, Huibo, 2020. "Research on the influence mechanism of carbon trading on new energy—A case study of ESER system for China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
    • Handle: RePEc:eee:phsmap:v:545:y:2020:i:c:s0378437119319892
    DOI: 10.1016/j.physa.2019.123572
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    References listed on IDEAS

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    Cited by:

    1. Fei Zou & Yanju Zhou & Caihua Yuan, 2020. "The Impact of Retailers’ Low-Carbon Investment on the Supply Chain under Carbon Tax and Carbon Trading Policies," Sustainability, MDPI, vol. 12(9), pages 1-27, April.
    2. Liu, Jing-Yue & Zhang, Yue-Jun, 2021. "Has carbon emissions trading system promoted non-fossil energy development in China?," Applied Energy, Elsevier, vol. 302(C).
    3. Su, Chi-Wei & Pang, Li-Dong & Qin, Meng & Lobonţ, Oana-Ramona & Umar, Muhammad, 2023. "The spillover effects among fossil fuel, renewables and carbon markets: Evidence under the dual dilemma of climate change and energy crises," Energy, Elsevier, vol. 274(C).
    4. Ma, Ning & Fan, Lurong, 2023. "Double recovery strategy of carbon for coal-to-power based on a multi-energy system with tradable green certificates," Energy, Elsevier, vol. 273(C).
    5. Song, Malin & Zheng, Huanyu & Shen, Zhiyang, 2023. "Whether the carbon emissions trading system improves energy efficiency – Empirical testing based on China's provincial panel data," Energy, Elsevier, vol. 275(C).

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