{"title":"基于多元回归模型的中国物流业影响因素研究","authors":"Qian Wu, Yinggui Qiu","doi":"10.1109/ICEMME49371.2019.00078","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":122910,"journal":{"name":"2019 International Conference on Economic Management and Model Engineering (ICEMME)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Research on the Influencing Factors of China's Logistics Industry Based on Multiple Regression Model\",\"authors\":\"Qian Wu, Yinggui Qiu\",\"doi\":\"10.1109/ICEMME49371.2019.00078\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"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.\",\"PeriodicalId\":122910,\"journal\":{\"name\":\"2019 International Conference on Economic Management and Model Engineering (ICEMME)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Economic Management and Model Engineering (ICEMME)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEMME49371.2019.00078\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Economic Management and Model Engineering (ICEMME)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEMME49371.2019.00078","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on the Influencing Factors of China's Logistics Industry Based on Multiple Regression Model
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.