China’s electricity industry has been undergoing a process of regulatory reform. This study aims to analyse the impact of liberalization on the electricity market assuming different degrees of scope of the reforms by applying a computable general equilibrium (CGE) model. In this paper, we consider the three sub-sectors of the electricity industry, namely generation, transmission and distribution. We assume that the reform will phase out the entry barriers on the generation side and allow for competition on the distribution side, while keeping the transmission side under regulation. The results showed that the reform could enhance efficiency in the electricity sector and reduce energy prices for households. Introduction of a complete competition model would decrease welfare by 5.394 billion yuan, if contrasted to a limited competition model. The composite energy price would decline under both scenarios, whereas the quantity of energy consumed by the households would go up. This research, thus, contributes to literature on the economic effects of China’s electric power market reform, and can be used as a case study to support policy decisions for the decision-makers.

The power industry is one of the main industries of energy consumption and carbon emissions in the Yangtze River Economic Belt, in order to accelerate the development of green and low-carbon power. This paper takes the power industry in the Yangtze River Economic Belt and the upper, middle and lower reaches from 2000 to 2020 as the research object. Based on the four absolute factors of economy, energy consumption, population and output, the generalized divisia index method (GDIM) is constructed. Combining the decoupling model with the GDIM method, a decoupling effort model is constructed based on the DPSIR framework to incorporate electricity output and economic scale into economic drivers. The main findings are as follows: The lower reaches provide the main contribution area of power carbon emissions, and the high value of carbon emissions tends to migrate eastward. Economy, output and energy consumption scale are the main factors leading to the increase in carbon emissions in the Yangtze River Economic Belt, upper, middle and lower reaches, while carbon intensity and output carbon intensity are the key factors curbing carbon emissions. Among them, economic scale is the largest positive driving factor of carbon emissions in the middle and lower reaches, and output carbon intensity is the largest negative driving factor in the upper reaches. The total decoupling effect index in the upper reaches of the Yangtze River Economic Belt increased the most and achieved decoupling of carbon emissions between 2014 and 2020. From 2016 to 2020, the total decoupling effect index of the upper, middle and lower reaches of the Yangtze River Economic Belt fluctuates within a certain range, and the total decoupling effect index of the power industry has entered a certain pressure period.

This paper constructs the evaluation index system of Beijing's high-quality economic development from six dimensions and using entropy weight TOPSIS and data envelopment analysis model with unexpected output to estimates the high-quality economic development level and static efficiency of Beijing from 2000 to 2019. The main conclusions are as follows. From the perspective of comprehensive measurement level, the high-quality economic development level is constantly improving, but there is still a certain gap from the optimal value. From the measurement level of the secondary index system, the coordinated development level remains at 0.17, the open development level shows a slight decline, while the economic development level, innovation development level, green development level and sharing development level have an obvious upward trend. From the static efficiency of high-quality development, the overall efficiency of 2000-2019 will increase later, and the scale efficiency has little difference, which is basically close to the scale efficiency.

This paper constructs a three-level evaluation index system for the high-quality development of Beijing's economy from six dimensions and evaluates the efficiency of high-quality development of the economy from 2000 to 2019 by using the DEA model with non-expected outputs. The main conclusions are as follows: from the point of view of development efficiency, the comprehensive efficiency as a whole shows a first decline and then an increase, and there is little difference in scale efficiency, which is completely close to scale efficiency.