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A general equilibrium assessment of economic impacts of provincial unbalanced carbon intensity targets in China

机译:中国省级不平衡碳强度目标经济影响的一般均衡评估

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摘要

It is necessary to measure the economic impacts of the attempts to achieve China's carbon emission intensity reduction target. Consequently, this study analyzes the economic impacts of the differentiated CO2 intensity targets between Guangxi Province and the rest of China. An improved two-region computable general equilibrium model with eight scenarios is used. Our results show that different CO2 intensity targets in different regions will affect Guangxi's GDP, carbon price, welfare, and output. The highest reduction target of 75% in the P75C65 scenario in Guangxi will lead to a cost of 0.42% in per capita GDP loss, 0.51% of welfare loss, and a carbon price of 49.4 USD/t. In addition, the output of the energy-intensive sectors is most vulnerable to carbon mitigation policy. The two mechanisms that affect economic indicators are price and scale effects. Under the P75C65 scenario, sectors such as vehicle manufacturing are winners and are affected by both price and scale effects in Guangxi, with export, provincial outflow, domestic supply, and output decreasing by 1.64%, 0.88%, 0.93%, and 0.93%, respectively. In contrast, sectors such as agriculture are losers and are affected by the scale effect, with these four indicators increasing by 1.25%, 0.97%, 0.59%, and 0.73%, respectively. These findings provide valuable insights for policy makers who wish to allocate provincial reduction targets and achieve co-benefits between the economy and the environment.
机译:有必要衡量试图实现中国碳排放强度减少目标的经济影响。因此,该研究分析了广西和中国其他地区的差异化二氧化碳强度目标的经济影响。使用具有八种情况的改进的两个区域可计算一般均衡模型。我们的研究结果表明,不同地区的不同二氧化碳强度目标将影响广西的GDP,碳价格,福利和产出。广西P75C65情景中最高减少目标为75%,人均GDP损失的成本为0.42%,占福利亏损的0.51%,碳价格为49.4美元/吨。此外,能源密集型行业的产量最容易受碳缓解政策。影响经济指标的两种机制是价格和规模效应。根据P75C65情景,车辆制造业等领域是广西的价格和规模效应的影响,随着出口,省级流出,国内供应,产量减少1.64%,0.88%,0.93%和0.93%,分别。相比之下,农业等部门是输家,受到规模效应的影响,这四个指标分别增加了1.25%,0.97%,0.59%和0.73%。这些调查结果为希望分配省级减少目标的政策制定者提供有价值的见解,并在经济与环境之间取得共同利益。

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