农产品供应决策：溯源与企业社会责任的视角

Agricultural Product Supply Decision-Making: A Perspective from Traceability and Corporate Social Responsibility

摘要: 针对传统农产品供应链信息不对称、质量追溯效率低、企业社会责任履行动力不足的现状，本文聚焦数字溯源与企业社会责任的协同机制，开展农产品供应链决策优化研究。本文构建了一个农业组织和大型商超所组成的可追溯农产品供应链模型，基于三种企业社会责任(CSR)承担场景下的模型求解结果，从决策变量、利润水平、效用表现三个核心维度展开横向对比，明确不同模式对农产品供应链的影响差异，为实践中的责任分配提供理论依据。研究结果可为农产品供应链数字化转型与社会责任协同推进提供理论支撑与决策参考。

Abstract: Addressing the current challenges of information asymmetry, low efficiency in quality traceability, and insufficient motivation for fulfilling corporate social responsibility (CSR) in traditional agricultural product supply chains, this paper focuses on the synergistic mechanism between digital traceability and CSR, conducting research on optimizing agricultural product supply chain decision-making. This paper constructs a traceable agricultural product supply chain model composed of agricultural organizations and large supermarkets. Based on the model solution results under three CSR implementation scenarios, a horizontal comparison is conducted from three core dimensions: decision variables, profit level, and utility performance. This clarifies the differences in the impact of different models on the agricultural product supply chain, providing a theoretical basis for responsibility allocation in practice. The research results can provide theoretical support and decision-making reference for the coordinated promotion of digital transformation and CSR in the agricultural product supply chain.