摘要
随着电子商务的快速发展,生鲜农产品双渠道供应链成为企业拓展市场的重要模式。相关数据显示,2024年生鲜电商交易规模达到7367.9亿元,同比增长14.67%,生鲜电商行业仍处增长期。但是线上线下渠道间的价格冲突、消费者偏好差异以及产品保鲜与绿色化投入的协调问题,仍然是制约供应链效率的关键之一。本文以零售商主导的双渠道供应链为研究对象,结合消费者渠道偏好(ρ)、绿色度(g)和新鲜度(τ),构建Stackelberg博弈模型,分析集中与分散决策下的定价策略差异,并提出基于“收入共享-成本共担”契约的协调机制。通过数值仿真验证发现,集中决策下供应链利润更高且价格更低,而契约协调可有效实现帕累托改进。研究结果为生鲜农产品企业的双渠道管理提供理论支持,并为政策制定者优化供应链协调机制提供参考。
关键词: 生鲜农产品;双渠道供应链;消费者偏好;定价策略;协调契约
Abstract
With the rapid development of e-commerce, dual-channel supply chain for fresh agricultural products has become an important model for enterprises to expand their markets. Relevant data show that the transaction scale of fresh e-commerce will reach 736.79 billion yuan in 2024, a year-on-year increase of 14.67%, and the fresh e-commerce industry is still in a growth period. However, price conflicts between online and offline channels, differences in consumer preferences, and coordination issues between product preservation and green investment are still one of the key constraints on supply chain efficiency. This paper takes the dual-channel supply chain led by retailers as the research object, combines consumer channel preferences (ρ), greenness (g) and freshness (τ), constructs a Stackelberg game model, analyzes the differences in pricing strategies under centralized and decentralized decision-making, and proposes a coordination mechanism based on the "revenue sharing-cost sharing" contract. Through numerical simulation verification, it is found that the supply chain profit is higher and the price is lower under centralized decision-making, and contract coordination can effectively achieve Pareto improvement. The research results provide theoretical support for the dual-channel management of fresh agricultural product enterprises and provide a reference for policymakers to optimize the supply chain coordination mechanism.
Key words: Fresh agricultural products; Dual-channel supply chain; Consumer preference; Pricing strategy; Coordination contract
参考文献 References
[1] CaiGangshu.Channel selection and coordination indual channel supply chains[J].Journal of Retailing,2010,86(1): 22-36.
[2] Yu J,Gan M,Ni S.Multi-objective models and real case study for dualchannel FAP supply chain network design with fuzzy information[J]. Journal of Intelligent Manufacturing, 2018,29(2):389-403.
[3] 林略,杨书萍,但斌.时间约束下鲜活农产品三级供应链协调[J].中国管理科学,2011,19(3):55-62.
[4] 岳柳青,刘咏梅,朱桂菊.零售商主导的生鲜双渠道供应链协调契约研究[J].软科学,2016,30(08):123-128+144.
[5] 曹裕,李业梅,万光羽.基于消费者效用的生鲜农产品供应链生鲜度激励机制研究[J].中国管理科学,2018,9(2): 47-56.
[6] 吴亚.渠道模式、努力投入与生鲜农产品供应链运作效率研究 [J].中国管理 科学,2015,23(12):105-112.
[7] 刘洋,王利艳.果蔬生鲜类农产品 O2O、单一线上、单一线下3种运作模式的定价策略对比研究[J].世界农业, 2017, 87(8):217-226.
[8] 赵帅,曹晓宁,李文立.不同权力结构下考虑智慧农业技术的生鲜农产品供应链定价与协调研究[J].中国管理科学,2025,33(02):262-278.
[9] 李真.零售商主导下的生鲜农产品双渠道供应链定价协调研究[D].重庆交通大学,2024.000828.
[10] 梁金彪.生鲜供应链保鲜协调研究[J].中国储运,2024, (12):171.
[11] 张波.考虑消费者异质性偏好的双渠道生鲜农产品供应链协调研究[J].铁路采购与物流,2024,19(03):44-46.
[12] 王海燕,沈崇杰.考虑保鲜努力和企业社会责任的生鲜双渠道供应链决策与协调[J].电子科技大学学报(社科版),2023,25(06):77-87.
[13] 周涛,孟祥倩,陶明.考虑绿色与保鲜努力水平的供应链双渠道同价与异价决策与协调研究[J].管理现代化,2023, 43(01):164-170.
[14] 陈玉玉,袁媛,柏庆国,等.考虑主播营销努力的双渠道供应链定价与协调研究[J/OL].计算机工程与应用,1-11[2025-05-17].
[15] 李昕,王剑辉.农产品双渠道供应链品牌推广与保鲜努力联合策略研究[J].物流科技,2024,47(24):123-130+158.