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A cooperative inter-provincial model for energy conservation based on futures trading

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  • Xue, Jian
  • Guo, Na
  • Zhao, Laijun
  • Zhu, Di
  • Ji, Xiaoqin

Abstract

With rapid development of global society, economic growth is increasingly depending on energy consumption. It will be urgent to explore an effective model to conserve energy while maximizing the socioeconomic benefits. To improve on China’s current territorial management model, we applied market-based means to cooperative energy conservation by constructing an energy conservation model based on futures trading. The model has three components: a function that defines the annual socioeconomic benefits for energy consumption; a method for dividing provinces into buyers and sellers of energy-saving index futures; and a cooperative optimal energy consumption model for the buyer or seller provinces. To demonstrate this approach, we performed an empirical analysis of electricity conservation for four Chinese provinces (Shanxi, Jiangsu, Sichuan, and Gansu). Compared with the current territorial management model, the cooperative model increased the overall socioeconomic benefits for electricity consumption by 18.7% and decreased the overall electricity consumption per unit of socioeconomic benefits by 15.7%. In addition, each province’s socioeconomic benefits from energy consumption improved and the electricity consumption per unit of socioeconomic benefits decreased. Our sensitivity analysis revealed that fluctuation of the futures price (from −50% to +50%) created only small differences in the socioeconomic benefits for all provinces.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:212:y:2020:i:c:s0360544220317436
    DOI: 10.1016/j.energy.2020.118635
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    as
    1. Wang, Jinman & Wang, Ruogu & Zhu, Yucheng & Li, Jiayan, 2018. "Life cycle assessment and environmental cost accounting of coal-fired power generation in China," Energy Policy, Elsevier, vol. 115(C), pages 374-384.
    2. 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.
    3. Vine, Edward & Hamrin, Jan, 2008. "Energy savings certificates: A market-based tool for reducing greenhouse gas emissions," Energy Policy, Elsevier, vol. 36(1), pages 467-476, January.
    4. Yuan, Chaoqing & Liu, Sifeng & Wu, Junlong, 2009. "Research on energy-saving effect of technological progress based on Cobb-Douglas production function," Energy Policy, Elsevier, vol. 37(8), pages 2842-2846, August.
    5. Cornell, Bradford & French, Kenneth R, 1983. "Taxes and the Pricing of Stock Index Futures," Journal of Finance, American Finance Association, vol. 38(3), pages 675-694, June.
    6. Dong, Kangyin & Sun, Renjin & Hochman, Gal & Li, Hui, 2018. "Energy intensity and energy conservation potential in China: A regional comparison perspective," Energy, Elsevier, vol. 155(C), pages 782-795.
    7. Lozano, S. & Moreno, P. & Adenso-Díaz, B. & Algaba, E., 2013. "Cooperative game theory approach to allocating benefits of horizontal cooperation," European Journal of Operational Research, Elsevier, vol. 229(2), pages 444-452.
    8. 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.
    9. Ren, Hongbo & Zhou, Weisheng & Nakagami, Ken'ichi & Gao, Weijun & Wu, Qiong, 2010. "Multi-objective optimization for the operation of distributed energy systems considering economic and environmental aspects," Applied Energy, Elsevier, vol. 87(12), pages 3642-3651, December.
    10. Florian Landis, Sebastian Rausch, Mirjam Kosch, and Christoph Böhringer, 2019. "Efficient and Equitable Policy Design: Taxing Energy Use or Promoting Energy Savings?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1).
    11. 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.
    12. Wei, Taoyuan, 2007. "Impact of energy efficiency gains on output and energy use with Cobb-Douglas production function," Energy Policy, Elsevier, vol. 35(4), pages 2023-2030, April.
    13. Bradford Cornell & Kenneth R. French, 1983. "The pricing of stock index futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 3(1), pages 1-14, March.
    14. Andrews-Speed, Philip, 2009. "China's ongoing energy efficiency drive: Origins, progress and prospects," Energy Policy, Elsevier, vol. 37(4), pages 1331-1344, April.
    15. Li, Mingquan & Patiño-Echeverri, Dalia, 2017. "Estimating benefits and costs of policies proposed in the 13th FYP to improve energy efficiency and reduce air emissions of China's electric power sector," Energy Policy, Elsevier, vol. 111(C), pages 222-234.
    16. Xiaofeng Liu & Shijun Wang & Jiawen Sun, 2018. "Energy Management for Community Energy Network with CHP Based on Cooperative Game," Energies, MDPI, vol. 11(5), pages 1-18, April.
    17. Zheng, Qingying & Lin, Boqiang, 2020. "Achieving energy conservation targets in a more cost-effective way: Case study of pulp and paper industry in China," Energy, Elsevier, vol. 191(C).
    Full references (including those not matched with items on IDEAS)

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