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| Srl | Item |
| 1 |
ID:
180862
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| Summary/Abstract |
To solve the different environmental problems caused by the over-use of fossil fuels, multiple environmental policies currently coexist. How these environmental policies interact with each other and how to optimise them are a few issues that need to be resolved urgently in practice. We established an environmental dynamic stochastic general equilibrium model (E-DSGE) to analyse the dynamic interactive effects of the SO2 emission tax and CO2 emission trading in China and the optimal design of these two environmental policies. We have calibrated the model based on China's actual data. The results indicate that synergistic emission reduction effects have led to an overlap between the two policies, because both SO2 and CO2 emissions share a common root—fossil fuels. Currently there is no obvious conflict between them. When the SO2 emission tax is levied at 12.6 CNY/kg, the CO2 emission cap should be lower than 76.1%. Second, the synergistic emission reduction effect between CO2 emission trading and the SO2 emission tax can enhance the automatic stabilisation function of both. Third, we suggest to optimise both policies pro-cyclically. However, if either of these two policies is ineffective, the optimal SO2 emission tax will be counter-rather than pro-cyclical.
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| 2 |
ID:
171485
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| Summary/Abstract |
The “13th Five-Year Plan” for wind power has proposed that it will reach grid parity and compete with power and hydropower. Accordingly, many doubts have been raised. Is the wind power in China already equipped with conditions for grid parity? What is the impact on the development of wind power? To solve these doubts, this study employs a system dynamics model to judge whether China can achieve grid parity for wind power. First, the factor indicator system is constructed from the aspects of wind power production, consumption, and curtailment. Second, the trend of wind power curtailment, cost, revenue, and installed capacity are predicted from 2005 to 2030. Third, three scenarios are set to simulate the impact of grid parity on wind power. Empirical results show that: (1) Net revenue and installed capacity will continue to increase, while the wind power curtailment will gradually reduce. (2) When the subsidy is decreased to 0, revenue will significantly reduce, and the installed capacity will reduce by nearly 1/4. (3) The Chinese government should not abolish all subsidies for wind power to achieve grid parity in 2020. To prompt the process for the grid parity of wind power, some policy implications are proposed.
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