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

被引:1
作者
Wu Qian [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; multiple regression analysis; cargo turnover; fixed assets investment;
D O I
10.1109/ICEMME49371.2019.00078
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
As a sunrise industry in China, logistics industry has made more and more contribution to the development of national economy. In order to explore the factors affecting the development of China's logistics industry, this paper uses the relevant data from 2003 to 2017, and selects cargo turnover, fixed assets investment (including transportation, warehousing and postal services) as independent variables, and logistics output value as dependent variables. Meanwhile, Eviews10.0 and SPSS24.0 software are used to conduct multiple regression analysis on China's logistics output value. The results show that both the turnover of goods and the investment in fixed assets have a positive effect on the logistics output value. At the same time, this paper carries out related tests and standardization on the model and puts forward some thoughts, which aims to provide some reference for the healthy development of China's logistics industry.
引用
收藏
页码:360 / 363
页数:4
相关论文
共 50 条
  • [31] Research on the Development Strategy of the Logistics Industry under the Model of Collaborative Logistics and Supply Chain
    Deng, Liang
    Chen, Yongmin
    2014 2ND INTERNATIONAL CONFERENCE ON SOCIAL SCIENCE AND HEALTH (ICSSH 2014), PT 1, 2014, 55 : 127 - 131
  • [32] Measuring embodied carbon dioxide of the logistics industry in China: based on industry stripping method and input-output model
    Huang, Qiu
    Ling, Jiaojiao
    ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 28 (38) : 52780 - 52797
  • [33] Empirical Study on the Relationship between China's Logistics Industry and the Oil Consumption Based on ECM
    Yan, Xiaofei
    ICICTA: 2009 SECOND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION TECHNOLOGY AND AUTOMATION, VOL III, PROCEEDINGS, 2009, : 927 - 930
  • [34] Measuring embodied carbon dioxide of the logistics industry in China: based on industry stripping method and input-output model
    Qiu Huang
    Jiaojiao Ling
    Environmental Science and Pollution Research, 2021, 28 : 52780 - 52797
  • [35] System dynamics model on the relation between China's logistics industry and its exterior service circumstance
    Sun, Chaoyuan
    Shuai, Bin
    2006 INTERNATIONAL CONFERENCE ON SERVICE SYSTEMS AND SERVICE MANAGEMENT, VOLS 1 AND 2, PROCEEDINGS, 2006, : 526 - 529
  • [36] An Empirical Analysis and Countermeasure Research on the Effect of Logistics Industry on Economic Growth in China
    Deng, Xueping
    Guo, Jingwen
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON MANAGEMENT SCIENCE AND INNOVATIVE EDUCATION (MSIE 2015), 2015, 32 : 296 - 304
  • [37] Empirical Analysis of the Effects of China's Logistics Industry on Economic Growth
    Zhang Li
    Zhang Xiaomei
    EBM 2010: INTERNATIONAL CONFERENCE ON ENGINEERING AND BUSINESS MANAGEMENT, VOLS 1-8, 2010, : 2766 - 2768
  • [38] Estimation of China's Provincial Total Factor Productivity For Logistics Industry
    Hu, Yuzhou
    INTERNATIONAL CONFERENCE ON ENGINEERING AND BUSINESS MANAGEMENT (EBM2011), VOLS 1-6, 2011, : 1084 - 1086
  • [39] Impact of the Digital Economy on the Carbon Emissions of China's Logistics Industry
    Li, Juan
    Wang, Qinmei
    SUSTAINABILITY, 2022, 14 (14)
  • [40] Multiple regression model based on weather factors for predicting the heat load of a district heating system in Dalian, China—A case study
    School of Information Science and Technology, Dalian Maritime University, Dalian
    Liaoning
    116026, China
    Open. Cybern. Syst. J., 1 (2755-2773): : 2755 - 2773