OPTIMIZATION DECISION ON INFORMAL RECYCLING CHANNEL OF ELECTRIC VECHICLE BATTERIES AND SUPERVISION STRATEGY

被引:4
作者
Gao, H. [1 ]
Liu, S. [1 ]
Gong, D. [1 ]
Cao, G. [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Econ & Management, Beijing 100044, Peoples R China
来源
APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH | 2019年 / 17卷 / 04期
基金
中国国家自然科学基金;
关键词
dynamic punishment; evolutionary strategy; fixed punishment; recycling channel decision; VEHICLE PRODUCTION; TECHNOLOGIES; RECOVERY; POLICIES; SUBSIDY; METALS; IMPACT;
D O I
10.15666/aeer/1704_87498762
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
In order to explore the impact of the government' regulatory strategy on the informal recycling channel of electric vehicle batteries, this paper compares and analyzes the evolutionary strategy of the government and the informal recycling channel of electric vehicle batteries group under fixed and dynamic punishment model. The results show that: (1) the dynamic system of replication under the fixed punishment model consists of four saddle points and one central point. The evolution process of the strategy is repetitive and periodic, and cannot reach equilibrium. (2) The dynamic system of replication under the dynamic punishment model consists of four saddle points and one focal point, and the stable Nash equilibrium can be achieved. That is to say, the optimized scenario is valid. (3) In order to improve the probability of the informal recycling channel of electric vehicle batteries choosing the transformation upgrading strategy, improving the legal environmental incomes after the transformation upgrading of the informal recycling channel of electric vehicle batteries group, and reducing the recycling cost of the available components extracted from the waste electric vehicle batteries through formal channels are effective approaches.
引用
收藏
页码:8749 / 8762
页数:14
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