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作 者:王韦[1] Wang Wei(School of Economics and Trade,Anhui Business and Vocational College,Hefei 231131)
机构地区:[1]安徽工商职业学院经济贸易学院,合肥231131
出 处:《安徽商贸职业技术学院学报》2024年第1期14-18,共5页Journal of Anhui Business College
基 金:安徽高校人文社会科学重点研究项目(2023AH052655);安徽省职业与成人教育学会教育教学研究规划重点课题(AZCJ2023004)。
摘 要:针对我国跨境电子商务公司和国际物流公司之间的信息不对称问题,在需求信息不对称环境下,采用非线性激励模型及python数据分析方法,通过引入激励合同及外部观察变量进行激励机制的改进,对跨境电子商务供应链协调机制进行研究。结果表明,外部观测变量引入提供更多信息,降低了外部不确定因素对于观测变量扰动,提高跨境电商企业对于跨境物流服务供应商努力程度准确辨识,实现更好激励。在极端情况下,在新引入观测变量与外部随机因素完全相关时,可直接观测变量确认跨境物流服务供应商努力程度,实现最优激励。仿真数据表明,跨境电商企业和物流集成分包商需要承担一定通关成本,并让出一部分利润给分包商,分包商和物流集成商降低物流批发价格,并提供物流服务。The article focuses on the issue of information asymmetry between cross-border e-commerce companies and international logistics companies in China.In the context of demand information asymmetry,a nonlinear incentive model and Python data analysis method are used to improve the incentive mechanism by introducing incentive contracts and external observation variables.The study investigates the coordination mechanism of cross-border e-commerce supply chains.The results show that the introduction of external observation variables provides more information,reducing external uncertainties and disturbance to observation variables,improving the accurate identification of cross-border logistics service providers'efforts by cross-border e-commerce enterprises,and achieving better incentives.In extreme cases,when the newly introduced observation variables are completely correlated with external random factors,the effort level of cross-border logistics service providers can be directly confirmed through observation variables to achieve optimal incentives.Simulation data shows that cross-border e-commerce enterprises and logistics integration subcontractors need to bear certain customs clearance costs and allocate a portion of profits to subcontractors.Subcontractors and logistics integrators reduce logistics wholesale prices and provide logistics services.
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