The CO2 emissions from China’s coal consumption account for 14.3% of the world’s CO2 emissions.
The taxation of China’s coal industry affects the progress of world emissions reduction to some extent.
This paper establishes six countermeasure scenarios with different tax systems considering carbon tax
and indirect tax, then constructs a dynamic recursive computable general equilibrium model to simulate
the tax system changes of the coal industry. It turns out that in both rural and urban populations, coal
consumption is more sensitive to the carbon tax and indirect tax compared with the consumption of
other commodities. The reduction effect of increasing tax will grow and social reduction cost will be
reduced over time. Increasing the coal industry tax can reduce CO2 emissions significantly and will
suffer relatively less GDP loss, for example increasing 20% of indirect tax on the coal industry will
lead to 3.65 billion tons of CO2 reduction during 2018-2030, accounting for 10.05% of 2015 world CO2
emissions. We found that increasing taxes can improve all industries’ energy efficiency, which reflects
on the powerful role of the coal industry in guiding the market to reducing CO2 emissions. Finally,
these results strongly recommend that China should increase indirect tax as quickly as possible to reach
the long-term interests as soon as possible.
CONFLICT OF INTEREST
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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[Retracted] Prediction and Early Warning of Regional Coordinated Development Based on Convolution Neural Network Algorithm Xue Wen, Syed Hassan Ahmed Computational Intelligence and Neuroscience
How to promote China's green economic development? The combination effects of consumption tax and carbon tax policies Weijiang Liu, Min Liu, Yangyang Li, Tingting Liu Energy & Environment
Evaluation on the Impact of General Industrial and Commercial Electricity Price Reduction: A Case Study of Fujian Province Qiyuan Cai, Han Chen, Kangli Xiang, Changyong Lin, Wei Wu Frontiers in Energy Research
An EKC-based modelling of CO2 emissions, economic growth, electricity consumption and trade openness in Serbia Petar Mitić, Milena Kojić, Jelena Minović, Slavica Stevanović, Magdalena Radulescu Environmental Science and Pollution Research
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