基于多元线性回归方法的内蒙古物流需求影响模型及其影响因素分析  

Multiple Linear Regression Method-based Impact Model and Analysis of Influencing Factors of Inner Mongolia Logistics Demand

作　　者：孙付娜 张昭俊[1] Sun Funa;Zhang Zhaojun(Inner Mongolia University of Technology,Hohhot,Inner Mongolia,010051)

机构地区：[1]内蒙古工业大学,内蒙古呼和浩特010051

出　　处：《中国商论》2024年第17期99-103,共5页China Journal of Commerce

摘　　要：物流产业是我国经济发展的“加速器”,而物流需求直接影响着物流产业。为了探究内蒙古物流需求的影响因素,推动物流业健康发展,本文选取内蒙古统计年鉴2005—2021年的相关数据,将货运量作为被解释变量,将进出口总额等七种可量化的影响因素作为解释变量,建立多元线性回归模型并进行检验。实证结果表明,全体居民生活消费支出和年末总人口对内蒙古物流需求量具有显著影响,据此提出内蒙古物流业进一步发展的建议。The logistics industry is an accelerator for China's economic development,and logistics demand directly affects the logistics industry.In order to explore the influencing factors of logistics demand in Inner Mongolia and promote the healthy development of the logistics industry,relevant data from Inner Mongolia Statistical Yearbook from 2005 to 2021 are selected,with freight volume as the explained variable and seven quantifiable influencing factors such as total import and export volume as the explanatory variables.A multiple linear regression model is established and tested.The empirical results indicate that the living expenses of all residents and the year-end total population have a significant impact on the logistics demand in Inner Mongolia.Based on this,suggestions for further development of Inner Mongolia's logistics industry are proposed.

关 键 词：内蒙古 多元线性回归 物流需求 物资流通 货运量 

分 类 号：F259.22[经济管理—国民经济]