基于多元线性回归模型对北京市物流影响因素的实证分析

An Empirical Analysis of the Influencing Factors of Logistics in Beijing Based on Multiple Linear Regression Model

摘要: 物流是保障和维系城市正常运转的基础功能。本文选取北京市2000~2022年的面板数据，以货物周转量作为被解释变量来衡量物流需求水平，并以固定资产投资额、三大产业产值、进出口总额、社会消费品零售总额、人均可支配收入以及常住人口作为解释变量，建立多元线性回归模型，分析得出影响北京市物流需求的主要因素，并依据北京市物流的具体情况提出相关建议。

Abstract: Logistics is the basic function to ensure and maintain the normal operation of the city. This paper selects the panel data of Beijing from 2000 to 2022, takes the cargo turnover as the explanatory variable to measure the level of logistics demand, and takes the investment in fixed assets, the output value of the three major industries, the total import and export, total retail sales of consumer goods, the per capita disposable income and the permanent population as the explanatory variables, and establishes a multiple linear regression model, analyzes the main factors affecting the logistics demand in Beijing, and puts forward relevant suggestions according to the specific situation of logistics in Beijing.