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

机译:基于多元回归模型的中国物流业影响因素研究

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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.
机译:作为中国的朝阳产业,物流业为国民经济的发展做出了越来越多的贡献。为了探讨影响中国物流业发展的因素,本文采用2003年至2017年的相关数据,选择货物周转量,固定资产投资(包括运输,仓储和邮政服务)作为自变量,并选择物流产值作为因变量。同时,使用Eviews10.0和SPSS24.0软件对中国的物流产值进行多元回归分析。结果表明,货物周转量和固定资产投资均对物流产值产生积极影响。同时,对模型进行了相关的测试和标准化,并提出了一些思路,旨在为我国物流业的健康发展提供参考。

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