信息不对称情况下物流外包风险及法律防范措施

Risk and Preventive Measures of Logistics Outsourcing under Asymmetric Information

物流外包是企业提高自身服务水平,增加企业价值的有效手段。但是,由于信息不对称的存在,企业在进行物流外包的过程中会出现风险,可能会给企业带来损失。传统的物流外包激励模型无法有效降低外包风险,本文因此提出了一种新的外包激励模型,要求第三方物流公司在承揽外包业务时投入一定资金。对模型的分析显示,该模型能够避免第三方物流公司的逆向选择和道德风险,有效降低外包风险。最后,文章提出了外包风险的法律防范措施,指导企业如何有效利用法律手段进一步降低物流外包风险。

Logistics outsourcing is an effective method for enterprises to improve their service level and increase enterprise value. But because of the existence of asymmetric information, enterprise in may for the process of logistics outsourcing will appear in the risk, will bring the loss to the enterprise. Traditional logistics outsourcing mcentive model can not effectively reduce the outsourcing risk. Therefore. this paper puts forward a new outsourcing incentive model, third-party logistics companies to invest some money in the outsourcing contract. Analysis of the model shows that the model can avoid the adverse selection and moral hazard in the third-party logistics compames, effectively reduce the risk of outsourcing. Finally, this paper presents the legal outsourcing risk prevention measures, guide enterprises how to effectively use the legal means to further reduce the risk of logistics outsourcing.