IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v212y2020ics0360544220317436.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544220317436
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2020.118635?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    2. 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.
    3. Andrews-Speed, Philip, 2009. "China's ongoing energy efficiency drive: Origins, progress and prospects," Energy Policy, Elsevier, vol. 37(4), pages 1331-1344, April.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    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)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Zeng, Lijun & Wang, Jiafeng & Zhao, Laijun, 2022. "An inter-provincial tradable green certificate futures trading model under renewable portfolio standard policy," Energy, Elsevier, vol. 257(C).
    2. 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).
    3. 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).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Zeng, Lijun & Wang, Jiafeng & Zhao, Laijun, 2022. "An inter-provincial tradable green certificate futures trading model under renewable portfolio standard policy," Energy, Elsevier, vol. 257(C).
    3. 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.
    4. Jimmy E. Hilliard & Haoran Zhang, 2020. "The impact of soft intervention on the Chinese financial futures market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(3), pages 374-391, March.
    5. Jianqiang Hu & Tianxiang Wang & Wenwei Hu & Jun Tong, 2020. "The impact of trading restrictions and margin requirements on stock index futures," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(7), pages 1176-1191, July.
    6. Kim, Bong-Han & Chun, Sun-Eae & Min, Hong-Ghi, 2010. "Nonlinear dynamics in arbitrage of the S&P 500 index and futures: A threshold error-correction model," Economic Modelling, Elsevier, vol. 27(2), pages 566-573, March.
    7. Lin Shinn-Juh & Stevenson Maxwell, 2001. "Wavelet Analysis of the Cost-of-Carry Model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 5(1), pages 1-17, April.
    8. Prashant Sharma & Prashant Gupta & Dinesh Kumar Sharma & Gaurav Agarwal, 2022. "Investigating the Efficiency of Bitcoin Futures in Price Discovery," International Journal of Economics and Financial Issues, Econjournals, vol. 12(3), pages 104-109, May.
    9. Jędrzej Białkowski & Jacek Jakubowski, 2017. "Determinants of Trading Activity on the Single-Stock Futures Market: Evidence from the Eurex Exchange," Working Papers in Economics 17/16, University of Canterbury, Department of Economics and Finance.
    10. Garry J. Twite, 1993. "Effect of Stochastic Interest Rates on the Pricing of SPI Futures Contracts," Australian Journal of Management, Australian School of Business, vol. 17(2), pages 259-269, December.
    11. Taufiq Hassan & Shamsher Mohamad & Mohamad Ariff & Annuar Md Nassir, 2007. "Stock Index Futures Prices and the Asian Financial Crisis," International Review of Finance, International Review of Finance Ltd., vol. 7(3‐4), pages 119-141, September.
    12. Bühler, Wolfgang & Kempf, Alexander, 1994. "DAX Index Futures: Mispricing and Arbitrage in German Markets," ZEW Discussion Papers 94-15, ZEW - Leibniz Centre for European Economic Research.
    13. Yang, Lisha & Li, Zhi, 2017. "Technology advance and the carbon dioxide emission in China – Empirical research based on the rebound effect," Energy Policy, Elsevier, vol. 101(C), pages 150-161.
    14. Giorgio Mirone, 2017. "Inference from the futures: ranking the noise cancelling accuracy of realized measures," CREATES Research Papers 2017-24, Department of Economics and Business Economics, Aarhus University.
    15. H. Kent Baker & Satish Kumar & Nitesh Pandey, 2021. "Forty years of the Journal of Futures Markets: A bibliometric overview," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 41(7), pages 1027-1054, July.
    16. Todd M. Hazelkorn & Tobias J. Moskowitz & Kaushik Vasudevan, 2023. "Beyond Basis Basics: Liquidity Demand and Deviations from the Law of One Price," Journal of Finance, American Finance Association, vol. 78(1), pages 301-345, February.
    17. Janchung Wang, 2009. "Stock market volatility and the forecasting performance of stock index futures," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(4), pages 277-292.
    18. Merz, Frederic, 1994. "Dynamic efficiency and price leadership in the DAX-future and the DAX cash market: An empirical investigation," Tübinger Diskussionsbeiträge 36, University of Tübingen, School of Business and Economics.
    19. Wei, Wei & Mushtaq, Zulqarnain & Sharif, Maimoona & Zeng, Xiaowu & Wan-Li, Zhang & Qaisrani, Mumtaz A., 2020. "Evaluating the coal rebound effect in energy intensive industries of China," Energy, Elsevier, vol. 207(C).
    20. Paul E. Brockway & Matthew K. Heun & João Santos & John R. Barrett, 2017. "Energy-Extended CES Aggregate Production: Current Aspects of Their Specification and Econometric Estimation," Energies, MDPI, vol. 10(2), pages 1-23, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:energy:v:212:y:2020:i:c:s0360544220317436. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/energy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.