Research Article
Empirical Analysis of the Factors Influencing Online Retail Sales in China based on all-Subsets Regression Model
@INPROCEEDINGS{10.4108/eai.18-11-2022.2326933, author={Ruijie Cheng and Xuecheng Wang}, title={Empirical Analysis of the Factors Influencing Online Retail Sales in China based on all-Subsets Regression Model}, proceedings={Proceedings of the 4th International Conference on Economic Management and Model Engineering, ICEMME 2022, November 18-20, 2022, Nanjing, China}, publisher={EAI}, proceedings_a={ICEMME}, year={2023}, month={2}, keywords={online retail sales; e-commerce; all-subsets regression}, doi={10.4108/eai.18-11-2022.2326933} }- Ruijie Cheng
Xuecheng Wang
Year: 2023
Empirical Analysis of the Factors Influencing Online Retail Sales in China based on all-Subsets Regression Model
ICEMME
EAI
DOI: 10.4108/eai.18-11-2022.2326933
Abstract
It selected 20 representative indicators from the macroeconomic, demographic and transportation conditions to analyze the factors influencing e-tailing sales through cross-sectional data from 31 Chinese provinces in 2019. By the All-Subsets Regression method, it screened out several variables to set three multiple linear regression equations. All above the models have passed the basic test. The model results show that urban per capita disposable income, the number of cold chain logistics enterprises, and the number of students colleges and universities have significant positive effects on online retail sales. The results of robustness test model with online retail sales of physical goods also show that the conclusion is relatively reliable.
