China’s Electricity Market Reform in the Post-COVID Era

Author(s):  
Hu Jingqiu ◽  
Jiang Yi
2021 ◽  
pp. 105197
Author(s):  
Toby Daglish ◽  
Gabriel Godofredo Fiuza de Bragança ◽  
Sally Owen ◽  
Teresa Romano

2018 ◽  
Vol 10 (9) ◽  
pp. 3235 ◽  
Author(s):  
Juyong Lee ◽  
Youngsang Cho ◽  
Yoonmo Koo ◽  
Chansoo Park

In this study, we analyzed the effects of electricity market reform on investment in generation facilities. We used the data of 27 OECD member countries and considered ownership structure, horizontal and vertical unbundling, change of transaction method, and government regulation as explanatory variables for market reform. We used four regression models, in which we examined the effects of market reform on the capacity of generation facilities, supply reserve ratio, total investment, and base-load share, respectively. For each panel regression model, we performed a Hausman test to identify the model between random effect and fixed effect. Based on the estimation results, we found that electricity market reform has a negative effect on generation facilities in most countries. Both privatization and regulation have negative impacts on the generation facility and base-load share. On the other hand, the level of liberalization of transactions have positive effects on the generation facility, supply reserve ratio, and base-load share. The empirical analysis also showed that horizontal unbundling does not have a meaningful effect on investment, but vertical unbundling contributes to increasing the supply reserve ratio.


Author(s):  
Dezhao Yu ◽  
Huadong Qiu ◽  
Xiang Yuan ◽  
Yuan Li ◽  
Changzheng Shao ◽  
...  

2011 ◽  
Vol 22 (3) ◽  
pp. 321-322
Author(s):  
Sonja Boehmer-Christiansen

Energies ◽  
2019 ◽  
Vol 12 (18) ◽  
pp. 3524 ◽  
Author(s):  
Jingqi Sun ◽  
Nuermaimaiti Ruze ◽  
Jianjun Zhang ◽  
Haoran Zhao ◽  
Boyang Shen

The new round of electricity market reform in 2015 completely changed the profit pattern of power grid enterprises (PGEs) in China, and directly affected their investment plans. Under the new electricity market reform (NEMR), the government regulatory authority made higher requirements for the investment efficiency of PGEs, and the investment effectiveness hence became the core criterion for investment plans. Therefore, the PGEs are now attaching great importance to the investment efficiency. According to their geographical differences, this paper divides the Chinese provincial PGEs into three groups, namely eastern, central and western region enterprises. Based on the NEMR, we developed an evaluation system of investment efficiency for the above-mentioned enterprises. Moreover, this paper selects GDP per capita, electricity consumption in industry, and electrification rate as external environment variables, and conducts an empirical research on the investment efficiency of 31 provincial PGEs in China in 2017. The analysis reveals that three external environment variables have considerable impacts on the investment efficiency. Though the increase of GDP per capita and electricity consumption in industry are not conducive to improving investment efficiency, the advancement of electrification plays a positive role in its improvement. And from the real efficiency results, Tianjin, Liaoning, Jiangsu, and Fujian have relatively higher investment efficiency, while Henan, Shandong, and Shanghai exhibit lower investment efficiency. By comparing the investment efficiency of PGEs in the first and third stage, conclusions can be drawn that in the first stage the investment efficiency of PGEs was overestimated, and the inefficient investments prevailed some provincial PGEs, which caused by low scale efficiency.


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