交通运输方式对物流成本的影响——基于偏最小二乘法回归  

The Influence of Transportation Modes on Logistics Costs—Based on Partial Least Squares Regression

作　　者：舒服华[1] SHU Fu-hua(School of Continuing Education,Wuhan University of Technology,Wuhan 430070,China)

机构地区：[1]武汉理工大学继续教育学院,湖北武汉430070

出　　处：《江苏航运职业技术学院学报》2024年第4期98-104,共7页Journal of Jiangsu Shipping College

基　　金：湖北省自然科学基金项目(2020CFB185)。

摘　　要：偏最小二乘法回归适合于多因变量与多自变量的回归,并且能够解决自变量数据间存在的共线性问题。由于货物交通运输方式涉及的相关因素数据之间存在多重共线性,采用传统的最小二乘法回归可能失真,因此利用偏最小二乘法分析货物交通运输方式对社会物流费用占GDP比重这一指标的影响。结果显示:回归的参数客观准确,真实可靠,解释性强,结论与实际情况基本吻合。Partial least squares regression is suitable for regression with multiple dependent variables and multiple independent variables,and it can solve the collinearity problem among independent variable data.Since there is multicollinearity among the data of relevant factors involved in the transportation mode of goods,the use of traditional least squares regression may lead to distortion.Therefore,the partial least squares method is used to analyze the influence of the transportation mode of goods on the indicator of the proportion of social logistics costs in GDP.The results show that the regression parameters are objective,accurate,reliable,and highly explanatory,and the conclusions are basically consistent with the actual situation.

关 键 词：物流成本 运输方式 共线性 偏最小二乘法 

分 类 号：F502[经济管理—产业经济]