A factorial CGE model for analyzing the impacts of stepped carbon tax on Chinese economy and carbon emission

2021 ◽  
Vol 759 ◽  
pp. 143512
Author(s):  
Yupeng Fu ◽  
Guohe Huang ◽  
Lirong Liu ◽  
Mengyu Zhai
Keyword(s):  
Carbon Emission ◽  
Carbon Tax ◽  
Chinese Economy ◽  
Cge Model

Research on the Relation of Carbon Tax on Carbon Emission and Economic Development in China

2013 ◽  
Vol 807-809 ◽  
pp. 723-727
Author(s):  
Zheng Shun Ruan ◽  
Ai Hua Luo ◽  
Hong Yao
Keyword(s):  
Economic Development ◽  
Carbon Emission ◽  
Carbon Tax ◽  
Carbon Intensity ◽  
Cge Model ◽  
Energy Technology ◽  
Carbon Reduction ◽  
Energy Environment ◽  
Carbon Taxation ◽  
Dynamic Cge

In this paper, a model of energy-environment-economic model based on dynamic CGE model is constructed after the linkage of dynamic CGE model and energy technology model, the choices of policy of energy conservation and carbon reduction to deal with the change of climate are analysed. Besides the improvement of technology of energy, if carbon taxation is employed, the goal to reduce its carbon intensity by 40% by 2020 compared with 2005 need to levy a tax of 60yuan per tonne, the simulations of this tax to carbon reduction, economic and income of residents are analysed under different circumstances, the results shows that there is a great impact on income of residents and reduction-intensive industries with a higher tax burden level.

Exploring the impacts of a carbon tax on the Chinese economy using a CGE model with a detailed disaggregation of energy sectors

2014 ◽  
Vol 45 ◽  
pp. 455-462 ◽  
Author(s):  
Zhengquan Guo ◽  
Xingping Zhang ◽  
Yuhua Zheng ◽  
Rao Rao
Keyword(s):  
Carbon Tax ◽  
Chinese Economy ◽  
Cge Model

THE EMISSIONS REDUCTION EFFECT AND ECONOMIC IMPACT OF AN ENERGY TAX VS. A CARBON TAX IN CHINA: A DYNAMIC CGE MODEL ANALYSIS

2018 ◽  
Vol 63 (02) ◽  
pp. 339-387 ◽  
Author(s):  
LELE ZOU ◽  
JINJUN XUE ◽  
ALAN FOX ◽  
BO MENG
Keyword(s):  
Carbon Tax ◽  
Chinese Economy ◽  
Emissions Reduction ◽  
Cge Model ◽  
Economic Costs ◽  
Single Tax ◽  
Import And Export ◽  
Energy Tax ◽  
Reduction Effect ◽  
Energy Intensive Industries

Carbon tax and energy tax are among the hot discussions in China. This study conducts simulation studies on them with a CGE model and analyzes their economic impacts, especially on the energy-intensive sectors. The Chinese economy is affected at an acceptable level by the two taxes in different scenarios. The import and export of energy-intensive industries are changed, leading to improved domestic competitiveness. Compared with implementing a single tax, a combined carbon-energy tax reduces more emissions with relatively smaller economic costs. For China, the sooner such taxes are launched, the smaller the economic costs and the more significant emission reductions.

Cap and Trade Versus Carbon Tax: An Analysis Based on a CGE Model

2021 ◽  
Author(s):  
Jin-Feng Zhou ◽  
Dan Wu ◽  
Wei Chen
Keyword(s):  
Carbon Tax ◽  
Cge Model ◽  
Cap And Trade

scholarly journals It is Worth Pondering Whether a Carbon Tax is Suitable for China’s Agricultural-Related Sectors

Energies ◽  
2018 ◽  
Vol 11 (9) ◽  
pp. 2296 ◽  
Author(s):  
Weiguo Fan ◽  
Zhicheng Gao ◽  
Nan Chen ◽  
Hejie Wei ◽  
Zihan Xu ◽  
...  
Keyword(s):  
Computable General Equilibrium ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Carbon Tax ◽  
Negative Impact ◽  
Positive Impact ◽  
Great Influence ◽  
Computable General Equilibrium Model ◽  
Carbon Emission Reduction ◽  
Incremental Rate

Studying the characteristics, trends, and evolution of carbon emissions in agricultural related sectors is of great significance for rational formulation of carbon emission reduction policies. However, as an important carbon emission reduction policy, carbon tax has been controversial over whether or not it should be levied on China. Based on this consideration, this paper takes China’s agricultural related sectors as an example and analyzes the degree of carbon tax on macro-environment, macroeconomy, and agricultural sectors during the period 2020–2050 by constructing a 3EAD-CGE (economy-energy-environmental-agricultural-dynamics Computable General Equilibrium) model. The results show that: (1) carbon tax has a time effect, specifically, the short-term effect is better than the long-term. (2) If the incremental rate of carbon tax is carried out alone, it will exert a great influence on the macroeconomy as well as on most of the agricultural related sectors. (3) If a carbon tax is introduced at the same time as indirect taxes are cut (proportionally), the policy will exert a negative impact on agriculture-related sectors that are subsidized. However, the policy will have a positive impact on those nonsubsidized sectors. Finally, based on the results, we put forward some suggestions that are more suitable for the introduction of a carbon tax in China’s agricultural-related sectors.

scholarly journals Optimizing Urban Distribution Routes for Perishable Foods Considering Carbon Emission Reduction

2019 ◽  
Vol 11 (16) ◽  
pp. 4387 ◽  
Author(s):  
Lin ◽  
Zhang ◽  
Wang ◽  
Yang ◽  
Shi ◽  
...  
Keyword(s):  
Carbon Emissions ◽  
Emission Reduction ◽  
Carbon Emission ◽  
Carbon Tax ◽  
Search Algorithm ◽  
Urban Traffic ◽  
Low Carbon ◽  
Carbon Emission Reduction ◽  
Urban Distribution ◽  
The Impact

The increasing demand for urban distribution increases the number of transportation vehicles which intensifies the congestion of urban traffic and leads to a lot of carbon emissions. This paper focuses on carbon emission reduction in urban distribution, taking perishable foods as the object. It carries out optimization analysis of urban distribution routes to explore the impact of low carbon policy on urban distribution routes planning. On the basis of analysis of the cost components and corresponding constraints of urban distribution, two optimization models of urban distribution routes with and without carbon emissions cost are constructed. Fuel quantity related to cost and carbon emissions in the model is calculated based on traffic speed, vehicle fuel quantity and passable time period of distribution. Then an improved algorithm which combines genetic algorithm and tabu search algorithm is designed to solve models. Moreover, an analysis of the influence of carbon tax price is also carried out. It is concluded that in the process of urban distribution based on the actual network information, path optimization considering the low carbon factor can effectively reduce the distribution process of CO2, and reduce the total cost of the enterprise and society, thus achieving greater social benefits at a lower cost. In addition, the government can encourage low-carbon distribution by rationally adjusting the price of carbon tax to achieve a higher social benefit.

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