{"title":"An Empirical Analysis of the Relationship between Cross-border E-commerce and Trade Growth","authors":"Lijuan Xu, Xiaokun Sang, Ki-hyung Bae, Mengze Zhang","doi":"10.1109/ECIT52743.2021.00039","DOIUrl":null,"url":null,"abstract":"Based on the current situation and development trend of cross-border e-commerce and trade growth, this article focuses on the interactive development relationship between cross-border e-commerce and foreign trade growth from the perspective of quantitative analysis. This paper selects time-series data from 2006 to 2018. It uses unit root test, cointegration test, OLS estimation, Granger causality test and error correction model to study the interactive development relationship between cross-border e-commerce and China’s foreign trade growth. Finally, based on the problems of China's cross-border e-commerce and the results of empirical research, the countermeasures and suggestions for applying cross-border e-commerce to promote China's foreign trade growth.","PeriodicalId":186487,"journal":{"name":"2021 2nd International Conference on E-Commerce and Internet Technology (ECIT)","volume":"84 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 2nd International Conference on E-Commerce and Internet Technology (ECIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ECIT52743.2021.00039","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
Based on the current situation and development trend of cross-border e-commerce and trade growth, this article focuses on the interactive development relationship between cross-border e-commerce and foreign trade growth from the perspective of quantitative analysis. This paper selects time-series data from 2006 to 2018. It uses unit root test, cointegration test, OLS estimation, Granger causality test and error correction model to study the interactive development relationship between cross-border e-commerce and China’s foreign trade growth. Finally, based on the problems of China's cross-border e-commerce and the results of empirical research, the countermeasures and suggestions for applying cross-border e-commerce to promote China's foreign trade growth.