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Energy-conservation model of inter-provincial cooperation that accounts GDP and social benefits

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  • Xue, Jian
  • Guo, Meichen
  • Shi, Shaoqing
  • Zhao, Laijun

Abstract

With rapid development of the global economy, economic growth is increasingly dependent on energy consumption, and the world faces the associated problems of environmental pollution and depletion of energy sources. This creates a challenge: Our ability to achieve these goals is severely constrained by the current governance based on non-cooperative energy conservation. To improve energy conservation in China, we developed an energy-conservation model based on market mechanisms. The model has three parts: (1) a two-objective (GDP and social benefits) optimization model; (2) a model that determines the optimal trading volume for energy conservation quotas in each province, including division of provinces into quota buyers and sellers and a cooperative game model for energy conservation quotas; and (3) a Nash distribution model for inter-provincial cooperation to fairly distribute the benefits from cooperation. We then used Shandong, Zhejiang, and Jiangsu provinces for an empirical analysis of the cooperative model. With the current territorial management approach, the social benefits of the inter-provincial cooperation based on option trading increased by 2.79 %, and GDP increased by 273.636 × 109 CNY. After a reasonable distribution of the benefits, each province benefited from the cooperation. This demonstrates that our model can improve China's current energy conservation governance.

Suggested Citation

  • Xue, Jian & Guo, Meichen & Shi, Shaoqing & Zhao, Laijun, 2024. "Energy-conservation model of inter-provincial cooperation that accounts GDP and social benefits," Energy, Elsevier, vol. 290(C).
    • Handle: RePEc:eee:energy:v:290:y:2024:i:c:s0360544223034941
    DOI: 10.1016/j.energy.2023.130100
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    References listed on IDEAS

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    1. Duan, Pengfei & Zhao, Bingxu & Zhang, Xinghui & Fen, Mengdan, 2023. "A day-ahead optimal operation strategy for integrated energy systems in multi-public buildings based on cooperative game," Energy, Elsevier, vol. 275(C).
    2. Xue, Jian & Guo, Na & Zhao, Laijun & Zhu, Di & Ji, Xiaoqin, 2020. "A cooperative inter-provincial model for energy conservation based on futures trading," Energy, Elsevier, vol. 212(C).
    3. Tian, Xu & Chen, Bin & Geng, Yong & Zhong, Shaozhuo & Gao, Cuixia & Wilson, Jeffrey & Cui, Xiaowei & Dou, Yi, 2019. "Energy footprint pathways of China," Energy, Elsevier, vol. 180(C), pages 330-340.
    4. Ole E. Barndorff-Nielsen & Fred Espen Benth & Almut E. D. Veraart, 2013. "Modelling energy spot prices by volatility modulated L\'{e}vy-driven Volterra processes," Papers 1307.6332, arXiv.org.
    5. Lijun Zeng & Laijun Zhao & Qin Wang & Bingcheng Wang & Yuan Ma & Wei Cui & Yujing Xie, 2018. "Modeling Interprovincial Cooperative Energy Saving in China: An Electricity Utilization Perspective," Energies, MDPI, vol. 11(1), pages 1-25, January.
    6. Florian Landis & Sebastian Rausch & Mirjam Kosch & Christoph Böhringer, 2019. "Efficient and Equitable Policy Design: Taxing Energy Use or Promoting Energy Savings?," The Energy Journal, , vol. 40(1), pages 73-104, January.
    7. Lin, Boqiang & Liu, Xia, 2012. "Dilemma between economic development and energy conservation: Energy rebound effect in China," Energy, Elsevier, vol. 45(1), pages 867-873.
    8. Xue, Jian & Zhang, Wenjing & Zhao, Laijun & Zhu, Di & Li, Lei & Gong, Ruifeng, 2022. "A cooperative inter-provincial model for energy conservation that accounts for employment and social energy costs," Energy, Elsevier, vol. 239(PB).
    9. Chen, Hao & Kang, Jia-Ning & Liao, Hua & Tang, Bao-Jun & Wei, Yi-Ming, 2017. "Costs and potentials of energy conservation in China's coal-fired power industry: A bottom-up approach considering price uncertainties," Energy Policy, Elsevier, vol. 104(C), pages 23-32.
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