Analysis of the Influencing Factors of China's Logistics Industry Based on Regression Model

被引：1

作者：

Qian, Wu ^{[1
]}

Qiu Yinggui ^{[1
]}

机构：

[1] Hubei Univ Chinese Med HBUCM, Hubei Univ Chinese Med, Sch Management, Wuhan, Hubei, Peoples R China

来源：

2019 INTERNATIONAL CONFERENCE ON ECONOMIC MANAGEMENT AND MODEL ENGINEERING (ICEMME 2019) | 2019年

关键词：

Logistics industry; regression analysis; influencing factors; fixed assets investment;

D O I：

10.1109/ICEMME49371.2019.00059

中图分类号：

F8 [财政、金融];

学科分类号：

0202 ;

摘要：

In order to explore the influencing factors of China's logistics industry development, this paper collects relevant data from 2003 to 2017 and uses Eviews10.0 software to conduct multiple regression analysis of China's logistics output value. The results show that in the simple linear regression model, logistics output value as an important part of China's GDP has a significant contribution to China's GDP development; in the multiple linear regression model, the fixed assets investment in transportation industry and warehousing industry has a positive effect on Logistics output value, while fixed assets investment in postal industry has a negative effect on Logistics output value. At the same time, this paper also carries out related tests on the models and puts forward some suggestions, which aims to provide some reference for the healthy development of China's logistics industry.

引用

页码：265 / 268

页数：4