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

机译:基于回归模型的中国物流业影响因素分析

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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.
机译:为了探索影响中国物流业发展的因素,本文收集了2003年至2017年的相关数据,并使用Eviews10.0软件对中国物流业产值进行了多元回归分析。结果表明,在简单的线性回归模型中,物流产值作为中国GDP的重要组成部分,对中国GDP的发展具有重要的贡献。在多元线性回归模型中,运输业和仓储业的固定资产投资对物流业产值产生正向影响,而邮政业的固定资产投资对物流业产值产生负向影响。同时,对模型进行了相关的检验,并提出了一些建议,旨在为我国物流业的健康发展提供参考。

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