Impact of Electricity Production Tax on China’s
Economy, Energy, and Environment:
A CGE-Based Study

Wang, Yanqin; Dong, Zhen; Yong, Wang; Liu, Guanghui; Yang, Hongwei; Wang, Dongchao

doi:10.15244/pjoes/81617

Cited by 2 publications

(2 citation statements)

References 26 publications

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“…At the same time, Zhao and others studied the internal operation mechanism of the carbon emissions trading system and its impact on 3E, taking Beijing Tianjin Hebei region as an example [ 16 ]. Wang et al studied the impact of different power production taxes on China's energy, economy, and environment; established a dynamic recursive computable general equilibrium model to analyze this problem; and proposed that the production tax rate of power enterprises should be appropriately increased [ 17 ]. In order to improve the comprehensive benefits, Zhang's team proposed a multiobjective sustainability evaluation method of the remanufacturing system based on energy, economy, and environment, The results show that the established quantitative prediction model has high accuracy [ 18 ].…”

Section: Literature Reviewmentioning

confidence: 99%

[Retracted] Prediction and Early Warning of Regional Coordinated Development Based on Convolution Neural Network Algorithm

Xue

2021

Computational Intelligence and Neuroscience

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In order to respond to the regional coordinated development of the country, it is necessary to put forward a method that can predict and analyze the development trend according to the current development situation. In view of this, the research will carry on the present situation and forecast analysis to the coordinated development of urban agglomeration in Western China. Firstly, the 3E system is used to establish the regional coordination degree evaluation model, and on this basis, the ellipsoid model is introduced for better coordination degree evaluation. In addition, in order to improve the prediction ability of the model, the convolution neural network is used to realize the big data analysis of the model. The results show that the overall coordination degree of the western urban agglomeration is in a weak coordination state in 2015, but the coordination degree of the region will reach 147.35 in 2020. The results show that the overall coordination degree of western urban agglomeration will gradually show a good trend, but the change speed is slow. The above results show that the prediction model in the study has strong practicability, the calculation results can fit the current situation, and the good prediction ability can provide decision-making suggestions for many governments.

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Section: Literature Reviewmentioning

confidence: 99%

[Retracted] Prediction and Early Warning of Regional Coordinated Development Based on Convolution Neural Network Algorithm

Xue

2021

Computational Intelligence and Neuroscience

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“…The results indicated that the removal of cross-subsidies would lead to a decline in rural household income, whereas replacing cross-subsidies with progressive tax rates would only make up a small part of the negative impact of income decline. Wang et al (2019) established a dynamic recursive computable general equilibrium (CGE) model to evaluate the impact of different electricity production taxes on the economy, energy, and environment of China, finding that the output of the coal industry is the most sensitive to electricity tax, and increasing electricity tax will directly increase electricity price. Wang et al (2020) analyzed the impact of electricity price subsidies on economic development, energy consumption, and carbon emission reduction by simulating the increase of biomass price electricity price subsidies with CGE models.…”

Section: Introductionmentioning

confidence: 99%

Evaluation on the Impact of General Industrial and Commercial Electricity Price Reduction: A Case Study of Fujian Province

et al. 2022

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The reduction of general industrial and commercial prices is an important measure to further improve the business environment and stimulate market vitality. It is of great significance to study the impact of general industrial and commercial electricity price adjustment on the economy for promoting electricity price reform. Based on the policy of adjusting the general industrial and commercial electricity price issued by relevant national departments and provincial governments, this study takes Fujian province as an example and uses the provincial CGE model to analyze the impact of the reduction of the general industrial and commercial electricity price on the macro economy, the output and producer price of various industries, and the electricity consumption. The simulation results show that the reduction of general industrial and commercial electricity prices has a positive impact on the economy. A 25% cut in electricity prices increases GDP by about 0.0935%. The reduction in electricity prices promoted the growth of output and producer prices of most industries. In addition, the reduction of electricity price has a positive effect on the total social electricity consumption, among which the tertiary industry saw the biggest increase in electricity consumption. Based on the simulation results, the policy suggestions are put forward.

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Impact of Electricity Production Tax on China’s Economy, Energy, and Environment: A CGE-Based Study

Cited by 2 publications

References 26 publications

[Retracted] Prediction and Early Warning of Regional Coordinated Development Based on Convolution Neural Network Algorithm

[Retracted] Prediction and Early Warning of Regional Coordinated Development Based on Convolution Neural Network Algorithm

Evaluation on the Impact of General Industrial and Commercial Electricity Price Reduction: A Case Study of Fujian Province

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