Issue |
RAIRO-Oper. Res.
Volume 57, Number 5, September-October 2023
|
|
---|---|---|
Page(s) | 2363 - 2392 | |
DOI | https://doi.org/10.1051/ro/2023116 | |
Published online | 19 September 2023 |
Financing and coordination of the agricultural supply chain considering government-enterprise guarantee
School of Business Administration (MBA School), Zhejiang Gongshang University, 310018 Hangzhou, China
* Corresponding author: changhual@163.com
Received:
8
December
2022
Accepted:
29
July
2023
We examine an agricultural supply chain consisting of a core enterprise and a capital constrained farmer and assess the yield uncertainty of farmer’s production. We explore two kinds of financing models: traditional bank financing and government-enterprise guarantee financing. To coordinate the supply chain, a price commitment contract and a revenue-sharing contract are considered. Our results show that no matter in bank or government-enterprise guarantee financing model, we can find the conditions for full coordination of the supply chain with any contract. However, in the government enterprise guarantee financing model, when a farmer has bankrupt risk in a low-yield season and no bankrupt risk in a high-yield season, the revenue-sharing contract can simultaneously make the supply chain fully coordinated and achieve Pareto improvement to maximize the profits of the entire supply chain and achieve a win-win situation. In addition, the farmer and enterprise prefer to choose the financing model with a higher promised price and a higher revenue-sharing ratio, and the social welfare under the government-enterprise guarantee financing model is higher than that under the traditional bank financing model.
Mathematics Subject Classification: 90B06
Key words: Agricultural supply chain / Yield uncertainty / traditional bank financing / government-enterprise guarantee financing / coordination contracts
© The authors. Published by EDP Sciences, ROADEF, SMAI 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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