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Impacts of the 3E (economy, energy and environment) coordinated development on energy mix in China: The multi-objective optimisation perspective

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  • Liu, Yaqin
  • Zhang, Jingchao
  • Zhu, Zhishuang
  • Zhao, Guohao

Abstract

Achieving the goals of emissions intensity reduction and energy mix transition along with steady economic growth is a hot topic in China. This paper constructs an economic growth model under emissions reduction control. Using the PLS regression technique, the potential economic growth rates are calculated as 6.64% and 5.35% in 2020 and 2030, respectively. Moreover, employing the Markov chain method and multi-objective optimisation model, we also investigate the evolution trends and the optimisation modes of energy mix in different scenarios. The results show the proportions of clean energy cannot meet the policy targets in the BAU scenario. However, the goal of energy mix can be realized in the “3E” scenario, and a more low-carbon energy consumption structure will be promoted in 2020 and 2030. Furthermore, our results suggest that the Chinese government needs to transform the extensive traditional economic development pattern and strive to achieve the “3E” coordinated development pattern.

Suggested Citation

  • Liu, Yaqin & Zhang, Jingchao & Zhu, Zhishuang & Zhao, Guohao, 2019. "Impacts of the 3E (economy, energy and environment) coordinated development on energy mix in China: The multi-objective optimisation perspective," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 56-64.
    • Handle: RePEc:eee:streco:v:50:y:2019:i:c:p:56-64
    DOI: 10.1016/j.strueco.2019.05.005
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    3. Pan Jiang & Hanwen Zhang & Mengyue Li & Yuhan Zhang & Xiujuan Gong & Dong He & Liang Liu, 2023. "Research on the Structural Optimization of the Clean Energy Industry in the Context of Dual Carbon Strategy—A Case Study of Sichuan Province, China," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    4. Jing Ye & Lixin Tian & Yuwen Zhou, 2023. "Regional Energy–Economy–Environment Coupling Coordinated Development System Driven by Carbon Peaking and Carbon Neutralization over 13 Cities in Jiangsu Province," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    5. Mayer, Martin János & Biró, Bence & Szücs, Botond & Aszódi, Attila, 2023. "Probabilistic modeling of future electricity systems with high renewable energy penetration using machine learning," Applied Energy, Elsevier, vol. 336(C).
    6. Ye, Li & Dang, Yaoguo & Fang, Liping & Wang, Junjie, 2023. "A nonlinear interactive grey multivariable model based on dynamic compensation for forecasting the economy-energy-environment system," Applied Energy, Elsevier, vol. 331(C).
    7. Zhang, Yuxi & Cheung, Adrian (Wai Kong) & Qu, Xiaodong, 2024. "Can digital financial inclusion promote the coupling coordination between pollution reduction and low-carbon development? Evidence from China," Economic Analysis and Policy, Elsevier, vol. 82(C), pages 1113-1130.
    8. Quan Guo & Zijing Liang & Xiang Bai & Mengnan Lv & Anying Zhang, 2022. "The Analysis of Carbon Emission’s Characteristics and Dynamic Evolution Based on the Strategy of Unbalanced Regional Economic Development in China," Sustainability, MDPI, vol. 14(14), pages 1-31, July.

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