IDEAS home Printed from https://ideas.repec.org/a/eee/energy/v145y2018icp152-170.html
   My bibliography  Save this article

Cooperative game of electricity retailers in China's spot electricity market

Author

Listed:
  • Peng, Xu
  • Tao, Xiaoma

Abstract

Chinese electricity market has undergone twice reforms since 2002. However, the current electricity market is still partially irrational in electricity pricing mechanism. Furthermore, the utilization of renewable energy is inefficient in western regions. From the perspective of market participants, electricity retailers are new entrants in deregulated electricity market. In this spot electricity market, they are faced with various challenges and opportunities. Thus, this paper introduces an inter-regional power transaction model based on bottom-up modeling. There are mainly three parts in this paper: ⑴ It examines the existing problems and achievements in the twice reforms, and introduces the participants of cooperative game in a spot market. ⑵It proposes an inter-regional electricity transaction model to illustrate the new pricing mechanism. ⑶ Based on cooperative game theory, it quantifies how costs, electricity prices and benefits affect the behavior of retailers in a spot market with some reasonable economic assumptions. What is novel about this research is that the proposed transaction model analyzes electricity retailers' behaviors in a spot market. The cooperative game model improves electricity retailer's competitiveness in a spot market, and is of great theoretical and practical significance for the reform and development of China's electricity market.

Suggested Citation

  • Peng, Xu & Tao, Xiaoma, 2018. "Cooperative game of electricity retailers in China's spot electricity market," Energy, Elsevier, vol. 145(C), pages 152-170.
  • Handle: RePEc:eee:energy:v:145:y:2018:i:c:p:152-170
    DOI: 10.1016/j.energy.2017.12.122
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0360544217321655
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.energy.2017.12.122?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. Meng, Ming & Mander, Sarah & Zhao, Xiaoli & Niu, Dongxiao, 2016. "Have market-oriented reforms improved the electricity generation efficiency of China's thermal power industry? An empirical analysis," Energy, Elsevier, vol. 114(C), pages 734-741.
    2. Xydas, Erotokritos & Qadrdan, Meysam & Marmaras, Charalampos & Cipcigan, Liana & Jenkins, Nick & Ameli, Hossein, 2017. "Probabilistic wind power forecasting and its application in the scheduling of gas-fired generators," Applied Energy, Elsevier, vol. 192(C), pages 382-394.
    3. Nojavan, Sayyad & Zare, Kazem & Mohammadi-Ivatloo, Behnam, 2017. "Optimal stochastic energy management of retailer based on selling price determination under smart grid environment in the presence of demand response program," Applied Energy, Elsevier, vol. 187(C), pages 449-464.
    4. Zarnikau, Jay & Whitworth, Doug, 2006. "Has electric utility restructuring led to lower electricity prices for residential consumers in Texas?," Energy Policy, Elsevier, vol. 34(15), pages 2191-2200, October.
    5. Li, Hong-Zhou & Kopsakangas-Savolainen, Maria & Xiao, Xing-Zhi & Lau, Sim-Yee, 2017. "Have regulatory reforms improved the efficiency levels of the Japanese electricity distribution sector? A cost metafrontier-based analysis," Energy Policy, Elsevier, vol. 108(C), pages 606-616.
    6. Kuleshov, Dmitry & Viljainen, Satu & Annala, Salla & Gore, Olga, 2012. "Russian electricity sector reform: Challenges to retail competition," Utilities Policy, Elsevier, vol. 23(C), pages 40-49.
    7. Bennett, Elaine & Zame, William R, 1988. "Bargaining in Cooperative Games," International Journal of Game Theory, Springer;Game Theory Society, vol. 17(4), pages 279-300.
    8. Johnson, Todd M., 1992. "China's power industry, 1980–1990: Price reform and its effect on energy efficiency," Energy, Elsevier, vol. 17(11), pages 1085-1092.
    9. Yi, Bo-Wen & Xu, Jin-Hua & Fan, Ying, 2016. "Inter-regional power grid planning up to 2030 in China considering renewable energy development and regional pollutant control: A multi-region bottom-up optimization model," Applied Energy, Elsevier, vol. 184(C), pages 641-658.
    10. Kalai, Ehud & Samet, Dov, 1985. "Monotonic Solutions to General Cooperative Games," Econometrica, Econometric Society, vol. 53(2), pages 307-327, March.
    11. Zeng, Ming & Yang, Yongqi & Wang, Lihua & Sun, Jinghui, 2016. "The power industry reform in China 2015: Policies, evaluations and solutions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 94-110.
    12. Zamani-Dehkordi, Payam & Rakai, Logan & Zareipour, Hamidreza, 2016. "Deciding on the support schemes for upcoming wind farms in competitive electricity markets," Energy, Elsevier, vol. 116(P1), pages 8-19.
    13. Shang, Duo (Rick) & Sun, Guodong, 2016. "Electricity-price arbitrage with plug-in hybrid electric vehicle: Gain or loss?," Energy Policy, Elsevier, vol. 95(C), pages 402-410.
    14. Xu, Shaofeng & Chen, Wenying, 2006. "The reform of electricity power sector in the PR of China," Energy Policy, Elsevier, vol. 34(16), pages 2455-2465, November.
    15. Rodica Branzei & Dinko Dimitrov & Stef Tijs, 2008. "Models in Cooperative Game Theory," Springer Books, Springer, edition 0, number 978-3-540-77954-4, February.
    16. Steven L. Puller & Jeremy West, 2013. "Efficient Retail Pricing in Electricity and Natural Gas Markets," American Economic Review, American Economic Association, vol. 103(3), pages 350-355, May.
    17. Karunanithi, K. & Saravanan, S. & Prabakar, B.R. & Kannan, S. & Thangaraj, C., 2017. "Integration of Demand and Supply Side Management strategies in Generation Expansion Planning," Renewable and Sustainable Energy Reviews, Elsevier, vol. 73(C), pages 966-982.
    18. McDaniel, Tanga M. & Groothuis, Peter A., 2012. "Retail competition in electricity supply—Survey results in North Carolina," Energy Policy, Elsevier, vol. 48(C), pages 315-321.
    19. Haim Mendelson & Tunay I. Tunca, 2007. "Strategic Spot Trading in Supply Chains," Management Science, INFORMS, vol. 53(5), pages 742-759, May.
    20. Wang, Qiang & Chen, Xi, 2012. "China's electricity market-oriented reform: From an absolute to a relative monopoly," Energy Policy, Elsevier, vol. 51(C), pages 143-148.
    21. Ringler, Philipp & Keles, Dogan & Fichtner, Wolf, 2017. "How to benefit from a common European electricity market design," Energy Policy, Elsevier, vol. 101(C), pages 629-643.
    22. Luigi Di Puglia Pugliese & Francesca Guerriero, 2016. "On the shortest path problem with negative cost cycles," Computational Optimization and Applications, Springer, vol. 63(2), pages 559-583, March.
    23. Derrien, François & Kecskés, Ambrus & Mansi, Sattar A., 2016. "Information asymmetry, the cost of debt, and credit events: Evidence from quasi-random analyst disappearances," Journal of Corporate Finance, Elsevier, vol. 39(C), pages 295-311.
    24. Geng, Wu & Ming, Zeng & Lilin, Peng & Ximei, Liu & Bo, Li & Jinhui, Duan, 2016. "China׳s new energy development: Status, constraints and reforms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 885-896.
    25. Ichiishi, T, 1990. "Comparative Cooperative Game Theory," International Journal of Game Theory, Springer;Game Theory Society, vol. 19(2), pages 139-152.
    26. Youngsub Chun, 2016. "Cooperative Game Theoretic Approach," Studies in Choice and Welfare, in: Fair Queueing, chapter 0, pages 15-28, Springer.
    27. Henig, Mordechai I., 1986. "The shortest path problem with two objective functions," European Journal of Operational Research, Elsevier, vol. 25(2), pages 281-291, May.
    28. Zhang, Sufang & Jiao, Yiqian & Chen, Wenjun, 2017. "Demand-side management (DSM) in the context of China's on-going power sector reform," Energy Policy, Elsevier, vol. 100(C), pages 1-8.
    29. M. E. Dyer & L. G. Proll, 1977. "Note--On the Validity of Marginal Analysis for Allocating Servers in M/M/c Queues," Management Science, INFORMS, vol. 23(9), pages 1019-1022, May.
    30. Spinler, Stefan & Huchzermeier, Arnd, 2006. "The valuation of options on capacity with cost and demand uncertainty," European Journal of Operational Research, Elsevier, vol. 171(3), pages 915-934, June.
    31. ICHIISHI, Tatsuro, 1990. "Comparative cooperative game theory," LIDAM Reprints CORE 903, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    32. Nepal, Rabindra & Jamasb, Tooraj, 2012. "Reforming the power sector in transition: Do institutions matter?," Energy Economics, Elsevier, vol. 34(5), pages 1675-1682.
    33. Littlechild, Stephen, 2009. "Retail competition in electricity markets -- expectations, outcomes and economics," Energy Policy, Elsevier, vol. 37(2), pages 759-763, February.
    34. Jin Fan & Dingtao Zhao & Yanrui Wu & Jiuchang Wei, 2014. "Carbon Pricing and Electricity Market Reforms in China," Economics Discussion / Working Papers 14-03, The University of Western Australia, Department of Economics.
    35. Md Asaduzzaman & Thierry Chaussalet & Nicola Robertson, 2010. "A loss network model with overflow for capacity planning of a neonatal unit," Annals of Operations Research, Springer, vol. 178(1), pages 67-76, July.
    36. Fotouhi Ghazvini, Mohammad Ali & Faria, Pedro & Ramos, Sergio & Morais, Hugo & Vale, Zita, 2015. "Incentive-based demand response programs designed by asset-light retail electricity providers for the day-ahead market," Energy, Elsevier, vol. 82(C), pages 786-799.
    37. Defeuilley, Christophe, 2009. "Retail competition in electricity markets," Energy Policy, Elsevier, vol. 37(2), pages 377-386, February.
    38. Cui, Herui & Wei, Pengbang, 2017. "Analysis of thermal coal pricing and the coal price distortion in China from the perspective of market forces," Energy Policy, Elsevier, vol. 106(C), pages 148-154.
    39. He, Y.X. & Zhu, M.Z. & Xiong, W. & Zhang, T. & Ge, X.L., 2012. "Electricity transmission tariffs for large-scale wind power consumption in western Gansu province, China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(7), pages 4543-4550.
    40. Alexander, Nicholas & Doherty, Anne Marie, 2017. "The Origins of American International Retailing: Tiffany of New York in London and Paris, 1837–1914," Business History Review, Cambridge University Press, vol. 91(2), pages 301-328, July.
    41. Hsiao Chih-Ru & Raghavan T. E. S., 1993. "Shapley Value for Multichoice Cooperative Games, I," Games and Economic Behavior, Elsevier, vol. 5(2), pages 240-256, April.
    42. Carlo Stagnaro, 2017. "Competition and Innovation in Retail Electricity Markets: Evidence from Italy," Economic Affairs, Wiley Blackwell, vol. 37(1), pages 85-101, February.
    43. Seth Blumsack & Dmitri Perekhodtsev, 2009. "Electricity Retail Competition and Pricing: An International Review," Chapters, in: Joanne Evans & Lester C. Hunt (ed.), International Handbook on the Economics of Energy, chapter 28, Edward Elgar Publishing.
    44. Ngan, H.W., 2010. "Electricity regulation and electricity market reforms in China," Energy Policy, Elsevier, vol. 38(5), pages 2142-2148, May.
    45. Defeuilley, Christophe, 2009. "Retail competition in electricity markets--Expectations, outcomes and economics: A reply," Energy Policy, Elsevier, vol. 37(2), pages 764-765, February.
    46. Dornan, Matthew, 2014. "Reform despite politics? The political economy of power sector reform in Fiji, 1996–2013," Energy Policy, Elsevier, vol. 67(C), pages 703-712.
    47. Zhou, Kaile & Yang, Shanlin, 2015. "Demand side management in China: The context of China’s power industry reform," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 954-965.
    48. Nepal, Rabindra & Jamasb, Tooraj, 2012. "Reforming small electricity systems under political instability: The case of Nepal," Energy Policy, Elsevier, vol. 40(C), pages 242-251.
    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. Zhang, Yuanyuan & Zhao, Huiru & Li, Bingkang & Zhao, Yihang & Qi, Ze, 2022. "Research on credit rating and risk measurement of electricity retailers based on Bayesian Best Worst Method-Cloud Model and improved Credit Metrics model in China's power market," Energy, Elsevier, vol. 252(C).
    2. Gao, Evelyn & Sowlati, Taraneh & Akhtari, Shaghaygh, 2019. "Profit allocation in collaborative bioenergy and biofuel supply chains," Energy, Elsevier, vol. 188(C).
    3. Yanbin Li & Feng Zhang & Yun Li & Bingkang Li & Zhen Li, 2019. "Evaluating the Power Grid Investment Behavior in China: From the Perspective of Government Supervision," Energies, MDPI, vol. 12(21), pages 1-23, November.
    4. Guo, Hongye & Davidson, Michael R. & Chen, Qixin & Zhang, Da & Jiang, Nan & Xia, Qing & Kang, Chongqing & Zhang, Xiliang, 2020. "Power market reform in China: Motivations, progress, and recommendations," Energy Policy, Elsevier, vol. 145(C).
    5. Safarzadeh, Soroush & Rasti-Barzoki, Morteza, 2019. "A game theoretic approach for pricing policies in a duopolistic supply chain considering energy productivity, industrial rebound effect, and government policies," Energy, Elsevier, vol. 167(C), pages 92-105.
    6. Sun, Bo & Deng, Ruilin & Ren, Bin & Teng, Minmin & Cheng, Siyuan & Wang, Fan, 2022. "Identification method of market power abuse of generators based on lasso-logit model in spot market," Energy, Elsevier, vol. 238(PA).
    7. Ju, Liwei & Wu, Jing & Lin, Hongyu & Tan, Qinliang & Li, Gen & Tan, Zhongfu & Li, Jiayu, 2020. "Robust purchase and sale transactions optimization strategy for electricity retailers with energy storage system considering two-stage demand response," Applied Energy, Elsevier, vol. 271(C).
    8. Li-Peng Shao & Jia-Jia Chen & Lu-Wen Pan & Zi-Juan Yang, 2022. "A Credibility Theory-Based Robust Optimization Model to Hedge Price Uncertainty of DSO with Multiple Transactions," Mathematics, MDPI, vol. 10(23), pages 1-20, November.
    9. Budi, Rizki Firmansyah Setya & Sarjiya, & Hadi, Sasongko Pramono, 2021. "Multi-level game theory model for partially deregulated generation expansion planning," Energy, Elsevier, vol. 237(C).
    10. Rongquan Zhang & Saddam Aziz & Muhammad Umar Farooq & Kazi Nazmul Hasan & Nabil Mohammed & Sadiq Ahmad & Nisrine Ibadah, 2021. "A Wind Energy Supplier Bidding Strategy Using Combined EGA-Inspired HPSOIFA Optimizer and Deep Learning Predictor," Energies, MDPI, vol. 14(11), pages 1-22, May.
    11. Sen Guo & Wenyue Zhang & Xiao Gao, 2020. "Business Risk Evaluation of Electricity Retail Company in China Using a Hybrid MCDM Method," Sustainability, MDPI, vol. 12(5), pages 1-21, March.
    12. Liu, Yang & Jiang, Zhigao & Guo, Bowei, 2022. "Assessing China’s provincial electricity spot market pilot operations: Lessons from Guangdong province," Energy Policy, Elsevier, vol. 164(C).
    13. Bo Sun & Siyuan Cheng & Jingdong Xie & Xin Sun, 2022. "Identification of Generators’ Economic Withholding Behavior Based on a SCAD-Logit Model in Electricity Spot Market," Energies, MDPI, vol. 15(11), pages 1-23, June.
    14. Qiao, Weibiao & Yang, Zhe, 2020. "Forecast the electricity price of U.S. using a wavelet transform-based hybrid model," Energy, Elsevier, vol. 193(C).
    15. Setya Budi, Rizki Firmansyah & Sarjiya, & Hadi, Sasongko Pramono, 2022. "Indonesia's deregulated generation expansion planning model based on mixed strategy game theory model for determining the optimal power purchase agreement," Energy, Elsevier, vol. 260(C).
    16. Wu, Wanlu & Cheng, Yuanyuan & Lin, Xiqiao & Yao, Xin, 2019. "How does the implementation of the Policy of Electricity Substitution influence green economic growth in China?," Energy Policy, Elsevier, vol. 131(C), pages 251-261.
    17. Yin, Linfei & Gao, Qi & Zhao, Lulin & Wang, Tao, 2020. "Expandable deep learning for real-time economic generation dispatch and control of three-state energies based future smart grids," Energy, Elsevier, vol. 191(C).
    18. Liu, Y. & Jiang, Z. & Guo, B., 2021. "Assessing China's Provincial Electricity Spot Market Pilot Operations: Lessons from the Guangdong Province," Cambridge Working Papers in Economics 2165, Faculty of Economics, University of Cambridge.
    19. Peng, Feixiang & Hu, Shubo & Fan, Xuanxuan & Sun, Hui & Zhou, Wei & Guo, Furan & Song, Wenzhuo, 2021. "Sequential coalition formation for wind-thermal combined bidding," Energy, Elsevier, vol. 236(C).
    20. Liu, Tingting & Xu, Jiuping, 2021. "Equilibrium strategy based policy shifts towards the integration of wind power in spot electricity markets: A perspective from China," Energy Policy, Elsevier, vol. 157(C).
    21. Amiri-Pebdani, Sima & Alinaghian, Mahdi & Safarzadeh, Soroush, 2022. "Time-Of-Use pricing in an energy sustainable supply chain with government interventions: A game theory approach," Energy, Elsevier, vol. 255(C).
    22. Jun Dong & Yuanyuan Wang & Xihao Dou & Zhengpeng Chen & Yaoyu Zhang & Yao Liu, 2021. "Research on Decision Optimization Model of Microgrid Participating in Spot Market Transaction," Sustainability, MDPI, vol. 13(12), pages 1-26, June.
    23. An, Qingxian & Wen, Yao & Ding, Tao & Li, Yongli, 2019. "Resource sharing and payoff allocation in a three-stage system: Integrating network DEA with the Shapley value method," Omega, Elsevier, vol. 85(C), pages 16-25.
    24. Wang, Yongli & Zhou, Minhan & Zhang, Fuli & Zhang, Yuli & Ma, Yuze & Dong, Huanran & Zhang, Danyang & Liu, Lin, 2021. "Chinese grid investment based on transmission and distribution tariff policy: An optimal coordination between capacity and demand," Energy, Elsevier, vol. 219(C).
    25. Lu, Qing & Lü, Shuaikang & Leng, Yajun, 2019. "A Nash-Stackelberg game approach in regional energy market considering users’ integrated demand response," Energy, Elsevier, vol. 175(C), pages 456-470.

    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. Cheng, Chuntian & Chen, Fu & Li, Gang & Ristić, Bora & Mirchi, Ali & Qiyu, Tu & Madani, Kaveh, 2018. "Reform and renewables in China: The architecture of Yunnan's hydropower dominated electricity market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 682-693.
    2. Sen Guo & Wenyue Zhang & Xiao Gao, 2020. "Business Risk Evaluation of Electricity Retail Company in China Using a Hybrid MCDM Method," Sustainability, MDPI, vol. 12(5), pages 1-21, March.
    3. Liu, Shuangquan & Yang, Qiang & Cai, Huaxiang & Yan, Minghui & Zhang, Maolin & Wu, Dianning & Xie, Mengfei, 2019. "Market reform of Yunnan electricity in southwestern China: Practice, challenges and implications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 113(C), pages 1-1.
    4. Ni Lei & Lanyun Chen & Chuanwang Sun & Yuan Tao, 2018. "Electricity Market Creation in China: Policy Options from Political Economics Perspective," Sustainability, MDPI, vol. 10(5), pages 1-15, May.
    5. McDaniel, Tanga M. & Groothuis, Peter A., 2012. "Retail competition in electricity supply—Survey results in North Carolina," Energy Policy, Elsevier, vol. 48(C), pages 315-321.
    6. Fatras, Nicolas & Ma, Zheng & Duan, Hongbo & Jørgensen, Bo Nørregaard, 2022. "A systematic review of electricity market liberalisation and its alignment with industrial consumer participation: A comparison between the Nordics and China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    7. Daglish, Toby, 2015. "Consumer Governance in Electricity Markets," Working Paper Series 4183, Victoria University of Wellington, The New Zealand Institute for the Study of Competition and Regulation.
    8. Tooraj Jamasb & Rabindra Nepal & Govinda Timilsina & Michael Toman, 2014. "Energy Sector Reform, Economic Efficiency and Poverty Reduction," Discussion Papers Series 529, School of Economics, University of Queensland, Australia.
    9. Wu, Wei & Lin, Boqiang, 2018. "Application value of energy storage in power grid: A special case of China electricity market," Energy, Elsevier, vol. 165(PB), pages 1191-1199.
    10. Chen, Zhongfei & Barros, Carlos Pestana & Borges, Maria Rosa, 2015. "A Bayesian stochastic frontier analysis of Chinese fossil-fuel electricity generation companies," Energy Economics, Elsevier, vol. 48(C), pages 136-144.
    11. Haibing Wang & Chengmin Wang & Weiqing Sun & Muhammad Qasim Khan, 2022. "Energy Pricing and Management for the Integrated Energy Service Provider: A Stochastic Stackelberg Game Approach," Energies, MDPI, vol. 15(19), pages 1-15, October.
    12. Muyi Yang & Yuanying Chi & Kristy Mamaril & Adam Berry & Xunpeng Shi & Liming Zhu, 2020. "Communication-Based Approach for Promoting Energy Consumer Switching: Some Evidence from Ofgem’s Database Trials in the United Kingdom," Energies, MDPI, vol. 13(19), pages 1-16, October.
    13. Xiaoping He & David Reiner, 2015. "Why Do More British Consumers Not Switch Energy Suppliers? The Role of Individual Attitudes," Working Papers EPRG 1515, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    14. Dranka, Géremi Gilson & Ferreira, Paula, 2019. "Review and assessment of the different categories of demand response potentials," Energy, Elsevier, vol. 179(C), pages 280-294.
    15. Mahmud I Imam & Tooraj Jamasb & Manuel Llorca, 2019. "Political Economy of Reform and Regulation in the Electricity Sector of Sub-Saharan Africa," Working Papers EPRG1917, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    16. Zhou, Kaile & Yang, Shanlin, 2015. "Demand side management in China: The context of China’s power industry reform," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 954-965.
    17. Tomas Baležentis & Dalia Štreimikienė, 2019. "Sustainability in the Electricity Sector through Advanced Technologies: Energy Mix Transition and Smart Grid Technology in China," Energies, MDPI, vol. 12(6), pages 1-21, March.
    18. O'Shaughnessy, Eric & Heeter, Jenny & Gattaciecca, Julien & Sauer, Jenny & Trumbull, Kelly & Chen, Emily, 2019. "Empowered communities: The rise of community choice aggregation in the United States," Energy Policy, Elsevier, vol. 132(C), pages 1110-1119.
    19. Daglish, Toby, 2016. "Consumer governance in electricity markets," Energy Economics, Elsevier, vol. 56(C), pages 326-337.
    20. Jia, Zhijie & Lin, Boqiang & Wen, Shiyan, 2022. "Electricity market Reform: The perspective of price regulation and carbon neutrality," Applied Energy, Elsevier, vol. 328(C).

    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:145:y:2018:i:c:p:152-170. 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.