数据不对称条件下两阶段供应链批发价契约建模研究
Research on Two-Stage Supply Chain Wholesale Price Contract Modeling under Asymmetric Information
黄桢媛 1祁玉青1
作者信息
- 1. 南京工业大学经济与管理学院，南京 211816
- 折叠
摘要
针对由单一制造商和零售商构成的两级供应链系统中广泛存在的数据不对称的现象，本文构建了数据驱动下的两阶段供应链批发价契约模型，借助stackelberg博弈和逆向分析法分析了数据不对称条件下制造商定价策略与零售商订货量决策，探讨了数据不对称对供应链博弈均衡及协调效率的影响，并进一步考察了数据共享的价值。研究结果表明：相比数据对称的情况下--零售商具有明显的优势地位，当数据不对称时，制造商通过批发价设计可部分抵消零售商的数据垄断势力，且存在临界阈值使制造商利润优于对称数据场景。进一步研究发现，数据共享能提升系统帕累托改进潜力--当实际市场需求高于特定临界值时，数据共享可使制造商部分风险得到良性转移，同时供应链总收益较非共享情形提升。
Abstract
In response to the widespread phenomenon of data asymmetry in two-stage supply chain systems composed of a single manufacturer and retailer, this paper constructs a data-driven two-stage wholesale pricing contract model for the supply chain. Using Stackelberg game theory and backward induction analysis, it examines the manufacturer\'s pricing strategy and the retailer\'s ordering decisions under data asymmetry and explores the impact of data asymmetry on supply chain game equilibrium and coordination efficiency. Furthermore, it investigates the value of data sharing. The results show that, compared to the case of data symmetry-where the retailer holds a clear advantage-under data asymmetry, the manufacturer can partially offset the retailer\'s data monopoly power through wholesale pricing design, and there exists a critical threshold where the manufacturer\'s profit surpasses that in the symmetric data scenario. Further research finds that data sharing can enhance the system\'s potential for Pareto improvement-when actual market demand exceeds a specific critical value, data sharing allows the manufacturer to transfer part of the risk more effectively, while the total supply chain revenue increases compared to the non-sharing scenario.关键词
物流与供应链管理/数据不对称/批发价契约/供应链协调/stackelberg博弈Key words
Logistics and Supply Chain Management/Data Asymmetry/Wholesale Price Contract/Supply Chain Coordination/Stackelberg Game引用本文复制引用
黄桢媛,祁玉青.数据不对称条件下两阶段供应链批发价契约建模研究[EB/OL].(2025-12-29)[2025-12-30].http://www.paper.edu.cn/releasepaper/content/202512-44.学科分类
经济计划、经济管理
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