碳纤维
排放交易
自然资源经济学
边际成本
还原(数学)
国内生产总值
中国
经济
约束(计算机辅助设计)
环境经济学
温室气体
环境科学
微观经济学
计算机科学
工程类
经济增长
机械工程
生物
复合数
数学
生态学
政治学
算法
法学
几何学
作者
Zhaohua Wang,Haitao Chen,Huo Ru,Bo Wang,Bin Zhang
标识
DOI:10.1016/j.jclepro.2019.119362
摘要
As the global climate and environmental issues become increasingly serious, low-carbon development has become a consensus among countries to seek new economic growth pathway. As an important emitter of carbon dioxide, China has put forward “Thirteenth Five-Year Plan” (TFYP) outline that carbon dioxide emissions per unit of gross domestic product (GDP) will be 18% lower in 2020 than that in 2015. To measure the policy effects on CO2 emission reduction and abatement costs, the directional distance function model is introduced in this paper, and the sensitivity analysis is conducted to verify the rationality of our index formulation. The results show the areas with the highest carbon emission control target level have significantly higher marginal abatement costs than that of other areas. In the short term, the reduction targets policy effect on decreasing carbon abatement cost is not significant. Through sensitivity analysis, we further discovered that the carbon emission reduction cost is less sensitive to the carbon emission reduction target, and the impact in the short term is smaller. However, as time goes by, the impact increases. We suggest that the government should guide interregional enterprises to cooperate and play a synergistic role. Implementing the multilevel emission reduction targets and expanding the scope of trading in the national carbon trading market are especially important to optimize the allocation.
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