The impact of China's electricity price deregulation on coal and power industries: Two-stage game modeling

Liu, Huihui; Zhang, ZhongXiang; Chen, Zhanming; Dou, DeSheng

doi:10.1016/j.enpol.2019.110957

Cited by 20 publications

(6 citation statements)

References 23 publications

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“…i (a similar assumption could be seen in Liu et al, 2019), where q i is the product quantity of firm i, a i is the fixed costs, b and c i are parameters related to the variable cost.…”

Section: Model Descriptionmentioning

confidence: 84%

“…In 2015, China launched a new round of power reforms, aimed primarily at sustainable development of the electricity industry and building an "open, orderly, competitive, and complete" power market system (Song and Cui, 2016;Liu et al, 2019). To facilitate the implementation of this reform, a series of supplementary actions have been taken, for example the construction of an electric power trading center and eight pilots for electric power spot transaction.…”

Section: Introductionmentioning

confidence: 99%

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Analyzing Information Disclosure in the Chinese Electricity Market

Jin¹,

Liu²,

Wang³

et al. 2021

Front. Energy Res.

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Electricity generation relies heavily on fossil fuels in China, and this has posed great challenges for sustainable development. In 2015, China launched a new series of power reforms, aimed primarily at sustainable development and building a competitive power market system, where an information disclosure system plays an important role. This paper analyzes the effects of sensitive information disclosure, constructs different information disclosure scenarios, and compares the market clearing results under different scenarios. The results show that information transparency is conducive to the promotion of market efficiency. However, some problems, especially collusion, arise and inevitably bring negative impacts to the power market. Therefore, more attention should be paid to the content and quality of data transparency to avoid manipulations in the market. The data of power systems are complex and various, and thus big data applications may be conducive to effective information disclosure and better market regulation. Moreover, disclosure delay will help the electricity market become more transparent by reducing the risk of collusion. Besides, the information’s scope and contents, timing should also be taken into consideration. These findings may provide some references for the sustainable development of the electricity industry and have certain policy implications for policymakers.

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“…i (a similar assumption could be seen in Liu et al, 2019), where q i is the product quantity of firm i, a i is the fixed costs, b and c i are parameters related to the variable cost.…”

Section: Model Descriptionmentioning

confidence: 84%

Section: Introductionmentioning

confidence: 99%

Analyzing Information Disclosure in the Chinese Electricity Market

Jin¹,

Liu²,

Wang³

et al. 2021

Front. Energy Res.

View full text Add to dashboard Cite

show abstract

“…Ketterer (2014) employs a GARCH model to evaluate how the level and volatility of the electricity price are affected by wind electricity generation, and they show that wind power can reduce the price levels, meanwhile amplifying the price volatility. With respect to China, the electricity price has been regulated for a long period of time, despite that the Chinese government has promulgated a series of laws, regulations, and plans to deregulate the electricity price progressively (Liu et al, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

The Impact of Electricity Price on Power-Generation Structure: Evidence From China

Jing

2021

Front. Environ. Sci.

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Being affected by a variety of factors, power-generation structure plays an essential role in a high-quality and sustainable development. The focus of this paper is to evaluate the influence of electricity price on it. First, we provide a microeconomic framework to understand the impact mechanism. We discuss two effects through which price level can affect power generation, and then the power-generation structure. After that, an empirical test is conducted using provincial panel data, and the results of it are robust. We also test the above-mentioned mechanism empirically. There are two main conclusions. First, the electricity price has a positive effect on the share of thermal power in electricity generation. Second, the mechanism test shows that an increase of electricity price can not only improve efficiency of power plants but also propel firms to invest in more renewable energy plants.

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“…The number of power retailers in China has increased rapidly with the deregulation of its retail power market (Zeng et al, 2016;Liu et al, 2019;Zhao et al, 2021). As new participants enter the market, power consumers can choose from different retailers (Yang, 2014).…”

Section: Introductionmentioning

confidence: 99%

Residential electricity package model considering load difference penalty in China

Zhou

Dong²,

Wang³

et al. 2023

Front. Energy Res.

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The increasing load difference between peak and off-peak seasons has led to the unstable operation of China’s power systems in recent years. In addition, the current electricity package structure system of China, which is gradually liberalizing its electricity market, remains imperfect. This paper establishes a model of residential electricity packages that considers load difference penalty during peak and off-peak seasons. First, consumers’ utility of different packages is established and thus the optimal is determined by maximizing the utility function. Then, a mathematical model focusing on the minimization of load difference of retail electricity packages during peak and off-peak seasons is established. We thus design a particle-swarm based algorithm to solve the problem. Through simulation results of several numerical examples, we demonstrate that the profit of retailer is increased by 37.35% and Load difference during peak and off-peak seasons is reduced by 78.01%, improving the power demand curve of users and the operation efficiency of power systems.

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The impact of China's electricity price deregulation on coal and power industries: Two-stage game modeling

Cited by 20 publications

References 23 publications

Analyzing Information Disclosure in the Chinese Electricity Market

Analyzing Information Disclosure in the Chinese Electricity Market

The Impact of Electricity Price on Power-Generation Structure: Evidence From China

Residential electricity package model considering load difference penalty in China

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