IDEAS home Printed from https://ideas.repec.org/a/eee/enepol/v149y2021ics0301421520307564.html
   My bibliography  Save this article

A transaction case analysis of the development of generation rights trading and existing shortages in China

Author

Listed:
  • Zhao, Wenhui
  • Zhang, Jiuyang
  • Li, Ruan
  • Zha, Ruiming

Abstract

In the transition from a planned economy to a market economy of power sector reform in China, generation rights trading (GRT) as a mainly method to solve the problem of renewable energy curtailment. GRT presents significant differences from other countries' electricity derivatives such as electricity swap in subject matter, pricing mechanisms, etc. Electricity swap has been analyzed in many research work but few studies have been published on China's GRT policy system, our work can offer a new perspective to show traits and policy characteristics of GRT to fill this gap for other researchers. As a primary innovation point, this paper introduces the basic concept, development history, transaction mode, the policy system of GRT and the main differences between GRT and electricity swap in US electricity financial derivatives market are compared. Case analysis as research method is widely used in this paper, origin and components of transaction prices of GRT in Shanghai is investigated. This research shows that GRT is concentrated in regions which have rich natural resources or high demand of electricity and other energy of China and mainly dominated by the government, while GRT can improve the operating profits for renewable energy power plants and reduce renewable energy curtailment, many problems still exist such as unreasonable benefits distribution, lacking market adjustment mechanisms compare with electricity swap, and exorbitant price of coal compared with electricity price.

Suggested Citation

  • Zhao, Wenhui & Zhang, Jiuyang & Li, Ruan & Zha, Ruiming, 2021. "A transaction case analysis of the development of generation rights trading and existing shortages in China," Energy Policy, Elsevier, vol. 149(C).
    • Handle: RePEc:eee:enepol:v:149:y:2021:i:c:s0301421520307564
    DOI: 10.1016/j.enpol.2020.112045
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301421520307564
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.enpol.2020.112045?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. Marí, L. & Nabona, N. & Pagès-Bernaus, A., 2017. "Medium-term power planning in electricity markets with pool and bilateral contracts," European Journal of Operational Research, Elsevier, vol. 260(2), pages 432-443.
    2. Li, Sitao & Zhang, Sufang & Andrews-Speed, Philip, 2019. "Using diverse market-based approaches to integrate renewable energy: Experiences from China," Energy Policy, Elsevier, vol. 125(C), pages 330-337.
    3. Ciarreta, Aitor & Espinosa, Maria Paz & Pizarro-Irizar, Cristina, 2014. "Is green energy expensive? Empirical evidence from the Spanish electricity market," Energy Policy, Elsevier, vol. 69(C), pages 205-215.
    4. Deng, S.J. & Oren, S.S., 2006. "Electricity derivatives and risk management," Energy, Elsevier, vol. 31(6), pages 940-953.
    5. Füss, Roland & Mahringer, Steffen & Prokopczuk, Marcel, 2015. "Electricity derivatives pricing with forward-looking information," Journal of Economic Dynamics and Control, Elsevier, vol. 58(C), pages 34-57.
    6. Liu, Shiyu & Bie, Zhaohong & Lin, Jiang & Wang, Xifan, 2018. "Curtailment of renewable energy in Northwest China and market-based solutions," Energy Policy, Elsevier, vol. 123(C), pages 494-502.
    7. Edouard Jaeck & Delphine Lautier, 2016. "Volatility in electricity derivative markets: the Samuelson effect revisited," Post-Print hal-01488127, HAL.
    8. Pär Holmberg, 2011. "Strategic Forward Contracting in the Wholesale Electricity Market," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 169-202.
    9. Tang, Ningning & Zhang, Yuning & Niu, Yuguang & Du, Xiaoze, 2018. "Solar energy curtailment in China: Status quo, reasons and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 509-528.
    10. Li, Canbing & Shi, Haiqing & Cao, Yijia & Wang, Jianhui & Kuang, Yonghong & Tan, Yi & Wei, Jing, 2015. "Comprehensive review of renewable energy curtailment and avoidance: A specific example in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 41(C), pages 1067-1079.
    11. Wang, Hongye & Su, Bin & Mu, Hailin & Li, Nan & Jiang, Bo & Kong, Xue, 2019. "Optimization of electricity generation and interprovincial trading strategies in Southern China," Energy, Elsevier, vol. 174(C), pages 696-707.
    12. Cartea, Álvaro & Jaimungal, Sebastian & Qin, Zhen, 2019. "Speculative trading of electricity contracts in interconnected locations," Energy Economics, Elsevier, vol. 79(C), pages 3-20.
    13. Zhang, Sufang & Andrews-Speed, Philip & Li, Sitao, 2018. "To what extent will China's ongoing electricity market reforms assist the integration of renewable energy?," Energy Policy, Elsevier, vol. 114(C), pages 165-172.
    14. Jaeck, Edouard & Lautier, Delphine, 2016. "Volatility in electricity derivative markets: The Samuelson effect revisited," Energy Economics, Elsevier, vol. 59(C), pages 300-313.
    15. Zhang, Yu & Zhang, Sufang, 2018. "The impacts of GDP, trade structure, exchange rate and FDI inflows on China's carbon emissions," Energy Policy, Elsevier, vol. 120(C), pages 347-353.
    16. Elliott, Robert & Sun, Puyang & Zhu, Tong, 2019. "Electricity prices and industry switching: Evidence from Chinese manufacturing firms," Energy Economics, Elsevier, vol. 78(C), pages 567-588.
    17. Wang, Yanqiu & Zhu, Zhiwei & Zhu, Zhaoge & Liu, Zhenbin, 2019. "Analysis of China's energy consumption changing using the Mean Rate of Change Index and the logarithmic mean divisia index," Energy, Elsevier, vol. 167(C), pages 275-282.
    18. Chang, Kai & Zeng, Yonghong & Wang, Weihong & Wu, Xin, 2019. "The effects of credit policy and financial constraints on tangible and research & development investment: Firm-level evidence from China's renewable energy industry," Energy Policy, Elsevier, vol. 130(C), pages 438-447.
    19. Bird, Lori & Lew, Debra & Milligan, Michael & Carlini, E. Maria & Estanqueiro, Ana & Flynn, Damian & Gomez-Lazaro, Emilio & Holttinen, Hannele & Menemenlis, Nickie & Orths, Antje & Eriksen, Peter Børr, 2016. "Wind and solar energy curtailment: A review of international experience," Renewable and Sustainable Energy Reviews, Elsevier, vol. 65(C), pages 577-586.
    20. Benth, Fred Espen & Koekebakker, Steen, 2008. "Stochastic modeling of financial electricity contracts," Energy Economics, Elsevier, vol. 30(3), pages 1116-1157, May.
    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. Chai, Shanglei & Zhang, Xichun & Abedin, Mohammad Zoynul & Chen, Huizheng & Lucey, Brian & Hajek, Petr, 2023. "An optimized GRT model with blockchain digital smart contracts for power generation enterprises," Energy Economics, Elsevier, vol. 128(C).
    2. Shangjia Wang & Wenhui Zhao & Shuwen Fan & Lei Xue & Zijuan Huang & Zhigang Liu, 2022. "Is the Renewable Portfolio Standard in China Effective? Research on RPS Allocation Efficiency in Chinese Provinces Based on the Zero-Sum DEA Model," Energies, MDPI, vol. 15(11), pages 1-18, May.

    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. Chai, Shanglei & Zhang, Xichun & Abedin, Mohammad Zoynul & Chen, Huizheng & Lucey, Brian & Hajek, Petr, 2023. "An optimized GRT model with blockchain digital smart contracts for power generation enterprises," Energy Economics, Elsevier, vol. 128(C).
    2. Hu, Junfeng & Yan, Qingyou & Kahrl, Fredrich & Liu, Xu & Wang, Peng & Lin, Jiang, 2021. "Evaluating the ancillary services market for large-scale renewable energy integration in China's northeastern power grid," Utilities Policy, Elsevier, vol. 69(C).
    3. Cui, Qi & He, Ling & Han, Guoyi & Chen, Hao & Cao, Juanjuan, 2020. "Review on climate and water resource implications of reducing renewable power curtailment in China: A nexus perspective," Applied Energy, Elsevier, vol. 267(C).
    4. Song, Feng & Yu, Zichao & Zhuang, Weiting & Lu, Ao, 2021. "The institutional logic of wind energy integration: What can China learn from the United States to reduce wind curtailment?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 137(C).
    5. Cui, Qi & Liu, Yu & Ali, Tariq & Gao, Ji & Chen, Hao, 2020. "Economic and climate impacts of reducing China's renewable electricity curtailment: A comparison between CGE models with alternative nesting structures of electricity," Energy Economics, Elsevier, vol. 91(C).
    6. Zhang, Yuhu & Ren, Jing & Pu, Yanru & Wang, Peng, 2020. "Solar energy potential assessment: A framework to integrate geographic, technological, and economic indices for a potential analysis," Renewable Energy, Elsevier, vol. 149(C), pages 577-586.
    7. Piccirilli, Marco & Schmeck, Maren Diane & Vargiolu, Tiziano, 2021. "Capturing the power options smile by an additive two-factor model for overlapping futures prices," Energy Economics, Elsevier, vol. 95(C).
    8. Shen, Wei & He, Jijiang & Yao, Shangheng, 2021. "Green industrial policy in the post grid parity era: Governing integrated Solar+ projects in China," Energy Policy, Elsevier, vol. 150(C).
    9. Bai, Bo & Wang, Yihan & Fang, Cong & Xiong, Siqin & Ma, Xiaoming, 2021. "Efficient deployment of solar photovoltaic stations in China: An economic and environmental perspective," Energy, Elsevier, vol. 221(C).
    10. Bai, Bo & Xiong, Siqin & Song, Bo & Xiaoming, Ma, 2019. "Economic analysis of distributed solar photovoltaics with reused electric vehicle batteries as energy storage systems in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 109(C), pages 213-229.
    11. Thomas Deschatre & Xavier Warin, 2023. "A Common Shock Model for multidimensional electricity intraday price modelling with application to battery valuation," Papers 2307.16619, arXiv.org.
    12. Woo, C.K. & Zarnikau, J. & Moore, J. & Horowitz, I., 2011. "Wind generation and zonal-market price divergence: Evidence from Texas," Energy Policy, Elsevier, vol. 39(7), pages 3928-3938, July.
    13. Russo, Marianna & Bertsch, Valentin, 2020. "A looming revolution: Implications of self-generation for the risk exposure of retailers," Energy Economics, Elsevier, vol. 92(C).
    14. Delphine H. Lautier, Franck Raynaud, and Michel A. Robe, 2019. "Shock Propagation Across the Futures Term Structure: Evidence from Crude Oil Prices," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    15. Chen, Hao & Chen, Jiachuan & Han, Guoyi & Cui, Qi, 2022. "Winding down the wind power curtailment in China: What made the difference?," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    16. Thomas Deschatre & Pierre Gruet, 2021. "Electricity intraday price modeling with marked Hawkes processes," Papers 2103.07407, arXiv.org, revised Mar 2021.
    17. Kejia Yang & Johan Schot & Bernhard Truffer, 2020. "Shaping the Directionality of Sustainability Transitions: The Diverging Development Patterns of Solar PV in Two Chinese Provinces," SPRU Working Paper Series 2020-14, SPRU - Science Policy Research Unit, University of Sussex Business School.
    18. López Prol, Javier & Zilberman, David, 2023. "No alarms and no surprises: Dynamics of renewable energy curtailment in California," Energy Economics, Elsevier, vol. 126(C).
    19. Woo, C.K. & Chen, Y. & Olson, A. & Moore, J. & Schlag, N. & Ong, A. & Ho, T., 2017. "Electricity price behavior and carbon trading: New evidence from California," Applied Energy, Elsevier, vol. 204(C), pages 531-543.
    20. Ricardo M. Lima & Antonio J. Conejo & Loïc Giraldi & Olivier Le Maître & Ibrahim Hoteit & Omar M. Knio, 2022. "Risk-Averse Stochastic Programming vs. Adaptive Robust Optimization: A Virtual Power Plant Application," INFORMS Journal on Computing, INFORMS, vol. 34(3), pages 1795-1818, May.

    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:enepol:v:149:y:2021:i:c:s0301421520307564. 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.elsevier.com/locate/enpol .

    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.