The Role of Ambiguity Aversion in Contract-farming Supply Chains: A Distributionally Robust Approach

被引:16
作者
Zhong, Yuanguang [1 ]
Liu, Ju [1 ,2 ]
Zhou, Yong-Wu [1 ]
Cao, Bin [3 ]
Zheng, Xueliang [1 ]
机构
[1] South China Univ Technol, Sch Business Adm, Guangzhou 510640, Peoples R China
[2] NUS Chongqing Res Inst, Modern Logist, Chongqing 401120, Peoples R China
[3] Jinan Univ, Sch Management, Guangzhou 510632, Peoples R China
来源
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE | 2023年 / 117卷
基金
中国国家自然科学基金;
关键词
Supply chain management; Contract farming; Distributionally robust optimization; approach; Protection procurement price contract; Multiple uncertainties;
D O I
10.1016/j.omega.2022.102827
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Contract farming is an important tool to promote the agricultural development in the developing coun-tries. In this paper, we study three types of contracts commonly used in a contract-farming agricultural supply chain with a farmer and an agribusiness firm, including fixed procurement price contract, mar-ket spot price contract and protection procurement price contract. To accurately capture the correlation between uncertainties and avoid the misspecification of true distribution, a moment-based distribution-ally robust optimization framework is introduced to analyze the three contracts. We then derive equilib-rium solutions of both the farmer and the agribusiness firm under each price contract. Leveraging these results, we can prove that the protection procurement price contract is equivalent to either the fixed procurement price contract or the market spot price contract, which depends on under which contract the farmer can obtain a larger marginal revenue. We further investigate the intrinsic mechanism of the protection procurement price contract, including its impact on the performance of both contract parties and the entire supply chain. Finally, we provide numerical comparisons of our ambiguity-averse solution with the ambiguity-neutral one and also discuss the impact of demand and yield unertainties on the equilibrium profits of both contract parties.(c) 2023 Elsevier Ltd. All rights reserved.
引用
收藏
页数:20
相关论文
共 43 条
[1]   Agricultural marketing cooperatives with direct selling: A cooperative-non-cooperative game [J].
Agbo, Maxime ;
Rousseliere, Damien ;
Salanie, Julien .
JOURNAL OF ECONOMIC BEHAVIOR & ORGANIZATION, 2015, 109 :56-71
[2]   Tactical planning of the production and distribution of fresh agricultural products under uncertainty [J].
Ahumada, Omar ;
Villalobos, J. Rene ;
Mason, A. Nicholas .
AGRICULTURAL SYSTEMS, 2012, 112 :17-26
[3]  
Akkaya D., 2016, Agricultural supply chains under government interventions
[4]   A multi-objective robust optimization model for multi-product multi-site aggregate production planning in a supply chain under uncertainty [J].
Al-e-hashem, S. M. J. Mirzapour ;
Malekly, H. ;
Aryanezhad, M. B. .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2011, 134 (01) :28-42
[5]   An Analysis of Price vs. Revenue Protection: Government Subsidies in the Agriculture Industry [J].
Alizamir, Saed ;
Iravani, Foad ;
Mamani, Flamed .
MANAGEMENT SCIENCE, 2019, 65 (01) :32-49
[6]   Agribusiness supply chain risk management: A review of quantitative decision models [J].
Behzadi, Golnar ;
O'Sullivan, Michael Justin ;
Olsen, Tava Lennon ;
Zhang, Abraham .
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2018, 79 :21-42
[7]   On the relation between option and stock prices: A convex optimization approach [J].
Bertsimas, D ;
Popescu, I .
OPERATIONS RESEARCH, 2002, 50 (02) :358-374
[8]   Models for Minimax Stochastic Linear Optimization Problems with Risk Aversion [J].
Bertsimas, Dimitris ;
Doan, Xuan Vinh ;
Natarajan, Karthik ;
Teo, Chung-Piaw .
MATHEMATICS OF OPERATIONS RESEARCH, 2010, 35 (03) :580-602
[9]   Assortment optimisation problem: A distribution-free approach [J].
Chan, Rebecca ;
Li, Zhaolin ;
Matsypura, Dmytro .
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2020, 95
[10]   Advance Selling in a Supply Chain Under Uncertain Supply and Demand [J].
Cho, Soo-Haeng ;
Tang, Christopher S. .
M&SOM-MANUFACTURING & SERVICE OPERATIONS MANAGEMENT, 2013, 15 (02) :305-319