{"title":"Analysis on Influencing Factors of China's Service Export Trade Volume Based on Multiple Regression Method","authors":"Ying Zhong, Zhi-xian Zhou, Junyi Huang, Jiawei Yao, Xinyi Huang, Yu Lin","doi":"10.1109/ICCSMT54525.2021.00085","DOIUrl":null,"url":null,"abstract":"In recent years, China's service trade has developed rapidly, but behind the high growth, there is a long-term deficit in service trade. With the increasing role of service trade in a country's economy, how to promote the development of China's service trade and improve the deficit plays an important role in China's economic development. This paper takes the export volume of China's service trade from 1999 to 2019 as the research object, establishes an empirical model affecting the export volume of service trade by using econometric model, and makes an empirical analysis by using multiple regression method. Through the establishment of the model and descriptive statistics, this paper understands the basic situation of the data, intuitively analyzes the preliminary relationship between variables through scatter diagram, through regression analysis Statistical inference, economic significance test, econometric test and correction, get the final reliable model, and give relevant policy suggestions according to the results.","PeriodicalId":304337,"journal":{"name":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","volume":"123 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on Computer Science and Management Technology (ICCSMT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSMT54525.2021.00085","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In recent years, China's service trade has developed rapidly, but behind the high growth, there is a long-term deficit in service trade. With the increasing role of service trade in a country's economy, how to promote the development of China's service trade and improve the deficit plays an important role in China's economic development. This paper takes the export volume of China's service trade from 1999 to 2019 as the research object, establishes an empirical model affecting the export volume of service trade by using econometric model, and makes an empirical analysis by using multiple regression method. Through the establishment of the model and descriptive statistics, this paper understands the basic situation of the data, intuitively analyzes the preliminary relationship between variables through scatter diagram, through regression analysis Statistical inference, economic significance test, econometric test and correction, get the final reliable model, and give relevant policy suggestions according to the results.