Coordinating a Green Agri-Food Supply Chain with Revenue-Sharing Contracts Considering Retailers' Green Marketing Efforts

被引:28
|
作者
Li Cui [1 ]
Guo, Siwei [1 ]
Zhang, Hao [1 ]
机构
[1] Beijing Technol & Business Univ, Business Sch, Beijing 100048, Peoples R China
关键词
green agri-food supply chain; green marketing; revenue-sharing contract; game theory; EMISSION REDUCTION; INDUSTRY; LOGISTICS; POLICIES; QUALITY;
D O I
10.3390/su12041289
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Serious environmental issues have drawn the attention of the agricultural sector. Consumers' concerns about their personal health and food safety have stimulated the demand for green agri-food, which has also made it important to focus on the green agri-food supply chain to improve the food quality and reduce the associated environmental concerns. This paper discusses coordination issues of the green agri-food supply chain under the background of farmers' green farming and retailers' green marketing, and the impact of a revenue-sharing contract on key decisions of supply chain participants. On the basis of the two-echelon green agri-food supply chain composed of a farmer and a retailer, a revenue-sharing contract was established that takes the cost of farmer's green farming and retailer's green marketing into account. Through the comparison of the model results, it is concluded that the revenue-sharing contract is beneficial to not only increase the greening level, but also improve both the farmer's profit and the retailer's profit. Moreover, the effectiveness of the revenue-sharing contract is positively correlated with consumers' sensitivity to the greening level. Finally, the conclusion is verified by numerical simulation and some management suggestions are given.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Investment decision and coordination of green agri-food supply chain considering information service based on blockchain and big data
    Liu, Pan
    Long, Yue
    Song, Hai-Cao
    He, Yan-Dong
    JOURNAL OF CLEANER PRODUCTION, 2020, 277 (277)
  • [22] Coordination of supply chain with a revenue-sharing contract under demand disruptions when retailers compete
    Zhang, Wei-Guo
    Fu, Junhui
    Li, Hongyi
    Xu, Weijun
    INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2012, 138 (01) : 68 - 75
  • [23] A Multi-retailer Decentralized Supply Chain Coordination Based on Revenue-sharing Contracts
    Ren, Jinyu
    Liu, Yongxian
    Zeng, Pengfei
    MECHANICAL COMPONENTS AND CONTROL ENGINEERING III, 2014, 668-669 : 1587 - +
  • [24] Research on coordination mechanism for fresh agri-food supply chain with option contracts
    Zhou, Linan
    Zhou, Gengui
    Qi, Fangzhong
    Li, Hangying
    KYBERNETES, 2019, 48 (05) : 1134 - 1156
  • [25] A New Green Labeling Scheme for Agri-Food Supply Chains: Equilibrium and Information Sharing under Uncertainties
    Philip, Ajay
    Marathe, Rahul R.
    SUSTAINABILITY, 2022, 14 (23)
  • [26] Green supply chain management through call option contract and revenue-sharing contract to cope with demand uncertainty
    Dehghan-Bonari, Mohamad
    Bakhshi, Alireza
    Aghsami, Amir
    Jolai, Fariborz
    CLEANER LOGISTICS AND SUPPLY CHAIN, 2021, 2
  • [27] Coordination and competition in two-echelon supply chain using grey revenue-sharing contracts
    Hendalianpour, Ayad
    Hamzehlou, Mohammad
    Feylizadeh, Mohammad Reza
    Xie, Naiming
    Shakerizadeh, Mohammad Hossein
    GREY SYSTEMS-THEORY AND APPLICATION, 2021, 11 (04) : 681 - 706
  • [28] Revenue sharing and green innovation investment of green supply chain under fairness preference
    Jiang M.-J.
    Chen D.-Y.
    Kongzhi yu Juece/Control and Decision, 2020, 35 (06): : 1463 - 1468
  • [29] Untruthful probabilistic demand forecasts inn vendor-managed revenue-sharing contracts: Coordinating tine chain
    Gerchak, Yigal
    Khmelnitsky, Eugene
    Robinson, Lawrence W.
    NAVAL RESEARCH LOGISTICS, 2007, 54 (07) : 742 - 749
  • [30] Revenue sharing contracts of green fresh product considering freshness keeping effort
    Guoli Wang
    Yujie Hao
    Ruiyan Chen
    Journal of Data, Information and Management, 2023, 5 (3): : 177 - 191