摘要
目前物流金融风险评估效率低下、主观性太强,同时绝大部分研究仅仅从银行的角度评估风险,而忽略了第三方物流企业的物流金融合作伙伴的风险评估问题,因此文中以第三方物流企业视角运用灰色系统理论建立物流金融风险评估模型。首先提出了风险评价体系,并运用熵值法确定指标的权重,在此基础上,运用灰色三角白化权函数建立了物流金融风险评价模型。实证研究充分表明该方法具有较强的客观性、科学性,能够避免主观因素造成的评估偏差,提高第三方物流企业对物流金融合作伙伴评估的准确性。
At present, the Logistics financial risk assessment is inefficient and most of the studies assessed only from the perspective of banks,while ignoring the third - party logistics enterprise＇s risk assessment for partner. Therefore in this article we build the model of Logistics financial risk assessment in the Third - party logistics perspective and using the Grey system theory. First we proposed a risk assessment system and the use of entropy method to the weight of indicators, on this basis, the enter - point triangular whitenization weight function establish the logistics financial risk assessment model. Empirical studies show that the method used fully with a strong objectivity, scientific, and avoid the subjective bias , and significantly increase the accuracy of risk assessment of logistics enterprises when they assess their partner.
出处
《物流工程与管理》
2013年第3期60-62,共3页
Logistics Engineering and Management
关键词
物流金融
风险评估
熵值法
中心点三角白化权函数
logistics finance
risk assessment
entropy method
enter- point triangular whitenization weight function
作者简介
孔凡超（1985-），男，山东枣庄人，云南财经大学，硕士，研究方向：物流与供应链金融。
