Collaborative Preservation Strategy of Agricultural Product Suppliers and Retailers: An Evolutionary Game and Simulation Analysis

被引:0
|
作者
He, Fengyi [1 ]
Tang, Xiaomu [1 ,2 ]
Zhao, Chuang [3 ]
Liu, Linhao [4 ]
Shi, Huibin [5 ]
机构
[1] Liaodong Univ, Dandong, Peoples R China
[2] Silla Univ, Busan, South Korea
[3] China Construct Eighth Engn Div Co Ltd, Shanghai, Peoples R China
[4] Tunku Abdul Rahman Univ Management & Technol, Kuala Lumpur, Malaysia
[5] Shenyang Univ Technol, Shenyang, Peoples R China
关键词
agricultural products supply chain; Evolutionary game; freshness preservation strategy; cold chain distribution; intelligent preservation technology; FRESHNESS-KEEPING EFFORT; CHAIN; COORDINATION; PRICE;
D O I
10.24818/18423264/59.1.25.11
中图分类号
F [经济];
学科分类号
02 ;
摘要
Agricultural products incur a large losses and their quality and freshness are significantly reduced, which is easy to cause consumers to refrain from purchasing. Therefore, aiming at the problems of short shelf life and damage of agricultural products in the current agricultural supply chain under the background of the digital era, an evolutionary game model is built between its suppliers and retailers to analyze whether suppliers carry out cold chain distribution and whether retailers apply intelligent preservation technology, and analyze the evolution and stability strategy in the system, and explore the key factors affecting the evolution trend and evolution and stability strategy of the dynamic system. The simulation analysis using MATLAB shows that: 1) whether agricultural product suppliers carry out cold chain distribution is affected by transportation cost, fresh-keeping effort cost coefficient and fresh-keeping effort elasticity coefficient; 2) the unit cost of intelligent preservation technology and the sensitivity coefficient of intelligent preservation technology to potential demand are the key factors for retailers to choose and apply intelligent preservation technology.
引用
收藏
页码:174 / 191
页数:18
相关论文
共 50 条
  • [21] Evolutionary Game and Simulation Analysis of Intelligent Connected Vehicle Industry With Cross-Border Collaborative Innovation
    Tang, Jinhuan
    Wu, Wanting
    Zhao, Dan
    Chen, Xi
    IEEE ACCESS, 2023, 11 : 17721 - 17730
  • [22] Multi-agent behavior strategy game and evolutionary simulation analysis under environmental regulation
    Zhong, Zhaoqiang
    Peng, Benhong
    ENERGY & ENVIRONMENT, 2023, 34 (08) : 3365 - 3390
  • [23] Evolutionary game analysis of green agricultural product supply chain financing system: COVID-19 pandemic
    Yu, Zhang
    Rehman Khan, Syed Abdul
    INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS, 2022, 25 (07) : 1115 - 1135
  • [24] Evolutionary Game Analysis of the Quality of Agricultural Products in Supply Chain
    Wang, Feixiao
    Xu, Yaoqun
    AGRICULTURE-BASEL, 2022, 12 (10):
  • [25] The Tripartite Evolutionary Game of Green Agro-Product Supply in an Agricultural Industrialization Consortium
    Liu, Haolong
    SUSTAINABILITY, 2022, 14 (18)
  • [26] A multiagent collaborative development strategy for environmental pollution liability insurance based on an evolutionary game
    Zhao, Yan
    Cheng, Ruyan
    MANAGERIAL AND DECISION ECONOMICS, 2024, 45 (04) : 2443 - 2458
  • [27] Strategy analysis and creation by simulation in the general game
    Szucs, Gábor
    Neszveda, Gábor
    Fang, Xin
    World Academy of Science, Engineering and Technology, 2010, 41 : 7 - 17
  • [28] Strategy analysis and creation by simulation in the general game
    Szücs, Gábor
    Neszveda, Gábor
    Fang, Xin
    World Academy of Science, Engineering and Technology, 2010, 65 : 7 - 17
  • [29] The Game Analysis of Agricultural Product Enterprise Brand Related Stakeholders
    Dong, Qian
    Li, Binglong
    Liu, Bin
    2014 4TH INTERNATIONAL CONFERENCE ON EDUCATION AND EDUCATION MANAGEMENT (EEM 2014), PT 5, 2014, 67 : 29 - 33
  • [30] Evolutionary game analysis of collaborative transportation of emergency materials based on blockchain
    Xiong, Li
    Xue, Rudan
    INTERNATIONAL JOURNAL OF LOGISTICS-RESEARCH AND APPLICATIONS, 2024, 27 (09) : 1633 - 1654