摘要
以我国碳交易市场数据为基准情形,基于碳排放权跨期存储和违约罚款机制,建立企业最优减排策略模型。通过汉密尔顿函数分析各变量关系,利用遗传算法推导出企业成本最小化条件下的最优减排函数、最优碳排放函数和最优碳交易函数,并计算出违约惩罚系数。将最优解与基准情形对比发现,我国碳交易市场存在诸多不足,如:碳排放权初始分配过多,企业参与碳交易积极性较低等。
Using China＇s carbon market data,establishing the firm＇s optimal emission reduction strategy model based on thecarbon emission right intertemporal storage and default fine mechanism. Through the Hamiltonian function,the relationshipbetween the variables is analyzed,and the optimal emission reduction function,the optimal carbon emission function and theoptimal carbon trading function under the cost minimization are deduced by the genetic algorithm,and the default penaltycoefficient is calculated. Compared the optimal solution with the baseline situation, it is found that there are manydeficiencies in the carbon trading market in China,such as the excessive distribution of carbon emission and the lowenthusiasm of enterprises involved in carbon trading.
作者
魏琦
王樱晓
Wei Qi;Wang Yingxiao(School of Economics and Management,Lanzhou University of Technology,Lanzhou 730050,China)
出处
《经济与管理》
CSSCI
2018年第6期80-86,共7页
Economy and Management
基金
国家自然科学基金项目(71563026)
国家自然科学基金项目(71203082)
关键词
碳排放权交易
存储机制
违约成本
碳交易效率
carbon emission exchange
storage mechanism
default cost
carbon exchange efficiency
