政府干预下养老服务供应链的最优决策

Jiahuan He, X.G. Luo, Yang Yu, Zhongliang Zhang
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摘要

政府干预在养老服务供应链(ECSSC)的发展中扮演着不可或缺的角色。然而,还没有研究关注不同渠道权力结构下考虑政府干预的养老服务供应链优化决策。本研究建立了一个包括政府部门、养老服务提供商和养老服务集成商的三阶段 ECSSC 模型,同时考虑了不同的政府干预措施和渠道权力结构。服务水平弹性系数被定义为不确定变量,会影响服务需求和 ESI 服务成本。本研究探讨了在不同渠道权力结构和政府干预措施下,政府和中心的最优决策和市场绩效,为中心发展和政府决策提供指导。研究结果表明:第一,政府干预有利于 ECSSC、客户和社会福利。与补贴和服务水平监管方案相比,只有前者有利于供应链、社会福利和客户单位支出,但代价是降低服务水平和增加政府支出。其次,不同的渠道权力结构不会影响服务水平、社会福利和单位客户支出。然而,ESI 主导的结构有利于 ECSSC 的发展。第三,奖惩系数的设置不宜过高,因为在这种情况下,供应链成员、客户和社会福利都会从服务水平弹性预期值的增加中受益。最后,基于理论分析和数值实验结果提出了管理启示。
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Optimal decisions of elderly care service supply chain with government intervention
Government intervention plays an indispensable role in the development of the elderly care service supply chain (ECSSC). However, no research has focused on the optimal decision-making of the ECSSC considering government intervention under different channel power structures. This study establishes a three-stage ECSSC model, including the government sector, elderly care service provider and elderly care service integrator, while considering different government intervention measures and channel power structures. The service-level elasticity coefficient is defined as an uncertain variable, that can affect service demand and ESI service costs. This study explores the optimal decisions and market performance of the government and ECSSC under different channel power structures and government intervention, providing guidance for the ECSSC development and government decision-making. The results show that, first, government intervention is beneficial for the ECSSC, customers, and social welfare. Compared with the subsidy and service-level regulation scenario, only the former is beneficial for the supply chain, social welfare, and unit customer expenditure, but at the cost of lower service level and higher government expenditure. Second, different channel power structures do not affect service level, social welfare, and unit customer expenditure. However, the ESI-dominated structure favors ECSSC development. Third, the setting of the reward-penalty factor should not be too high, as, in this case, supply chain members, customers, and social welfare will benefit from the increased expected value of service level elasticity. At last, managerial insights are presented based on theoretical analysis and numerical experiment results.
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