Evolutionary Game Model of the Recycler and Manufacturer under the Chinese Government's Premium and Penalty Mechanism

被引:0
作者
Zou, Caifeng [1 ]
Zhang, Chuan [1 ,2 ,3 ]
Feng, Tao [2 ]
Nie, Hongdi [2 ]
机构
[1] Shanghai Dianji Univ, 300 Shuihua Rd, Shanghai 201306, Peoples R China
[2] Shanghai Maritime Univ, 1550 Haigang Ave, Shanghai 201306, Peoples R China
[3] Shanghai Univ Elect Power, 1851,Hucheng Rd, Shanghai 201306, Peoples R China
关键词
Premium and penalty mechanism; Government regulation; Recycler recovery; Manufacturer recovery; Evolutionary game; LOOP SUPPLY CHAIN; REVERSE;
D O I
10.5890/JEAM.2024.12.001
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Based on game theory, this study established game models composed of recyclers and manufacturers under the government's static and dynamic premium and penalty mechanisms, and then explored the interaction mechanisms of the behavioral strategies for both players. This study analyzed the influence of reward-penalty intensity and the government's recovery and utilization on the recyclers' and manufacturers' recovery strategies. Furthermore, the study analyzed numerical and simulation samples. Results indicated that government regulation and recyclers' and manufacturers' recycling strategies under the dynamic premium and penalty mechanism effectively resolved the instability of the behavioral strategy generated by the static premium and penalty mechanism and achieved evolutionary stability among the three players. The possibility of manufacturers choosing to actively recycle was directly proportional to the government's premium and penalty intensity and inversely proportional to the difficulty coefficient of recovery. The premium and penalty intensity of the government was proportional to the target recovery and recycling rates of waste products.The research in this paper provides a strong basis for government decision making.
引用
收藏
页码:327 / 341
页数:15
相关论文
共 38 条
[1]  
Chen W.T., 2019, SOFT SCI, V33, P106
[2]  
Cheng X.F., 2018, Soft Science, V32, P139
[3]   EVOLUTIONARY GAMES IN ECONOMICS [J].
FRIEDMAN, D .
ECONOMETRICA, 1991, 59 (03) :637-666
[4]  
Fu X.Y., 2014, Chinese Journal of Management Science, V22, P72
[5]   Pricing and effort decisions in a closed-loop supply chain under different channel power structures [J].
Gao, Juhong ;
Han, Hongshuai ;
Hou, Liting ;
Wang, Haiyan .
JOURNAL OF CLEANER PRODUCTION, 2016, 112 :2043-2057
[6]   Reverse and closed loop supply chain coordination by government role [J].
Heydari, Jafar ;
Govindan, Kannan ;
Jafari, Amin .
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT, 2017, 52 :379-398
[7]   Determining advanced recycling fees and subsidies in "E-scrap" reverse supply chains [J].
Hong, I-Hsuan ;
Ke, Jhih-Sian .
JOURNAL OF ENVIRONMENTAL MANAGEMENT, 2011, 92 (06) :1495-1502
[8]  
Hu Y.J., 2009, Soft Science, V23, P13
[9]   Analysis for strategy of closed-loop supply chain with dual recycling channel [J].
Huang, Min ;
Song, Min ;
Lee, Loo Hay ;
Ching, Wai Ki .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2013, 144 (02) :510-520
[10]  
Huang Z.S., 2013, Journal of Industrial Engineering and Engineering Management, V27, P93