独特性
汉密尔顿-雅各比-贝尔曼方程
缩小
数学优化
订单(交换)
最优控制
碳纤维
经济
人口
社会成本
随机控制
最小化(临床试验)
计算机科学
数学
微观经济学
算法
人口学
社会学
数学分析
统计
复合数
财务
作者
Xiaoli Yang,Jin Liang,Bei Hu
出处
期刊:Discrete and Continuous Dynamical Systems-series B
[American Institute of Mathematical Sciences]
日期:2017-01-01
卷期号:22 (7): 2939-2969
被引量:5
标识
DOI:10.3934/dcdsb.2017158
摘要
In this paper, we consider a problem of minimizing the carbon abatement cost of a country. Two models are built within the stochastic optimal control framework based on two types of abatement policies. The corresponding HJB equations are deduced, and the existence and uniqueness of their classical solutions are established by PDE methods. Using parameters in the models obtained from real data, we carried out numerical simulations via semi-implicit method. Then we discussed the properties of the optimal policies and minimal costs. Our results suggest that a country needs to keep a relatively low economy and population growth rate and keep a stable economy in order to reduce the total carbon abatement cost. In the long run, it's better for a country to seek for more efficient carbon abatement techniques and an environmentally friendly way of economic development.
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