The Impact of Internet-Using on Household Consumption—An Empirical Study Based on Multiple Linear Regression

DOI

10.2991/978-94-6463-210-1_11How to use a DOI?

Keywords

Multiple Linear Regression; Ordinary Least Square model; Internet-using; Household consumption expenditure

Abstract

Purpose-this paper is to study the impact of Internet-using on household consumption expenditure. Methodology-based on the data of Chinese General Social Survey in 2017, this study uses Stata16 software and multiple linear regression to test hypothesis. Findings-the results show that Internet-using significantly increases the total household expenditure, and has a significant positive impact on subsistence and development consumption. In terms of consumption structure, the regression coefficient of Internet-using on expenditure in food, clothing, leisure and entertainment, transportation and communication are positive and significant, while the coefficient is negative and not significant on housing, education, and health expenditures. The empirical results show that Internet-using is helpful to promote the household consumption.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

TY  - CONF
AU  - Ti Wang
AU  - Jie Liu
PY  - 2023
DA  - 2023/07/25
TI  - The Impact of Internet-Using on Household Consumption—An Empirical Study Based on Multiple Linear Regression
BT  - 2023 4th International Conference on E-Commerce and Internet Technology (ECIT 2023)
PB  - Atlantis Press
SP  - 90
EP  - 96
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-210-1_11
DO  - 10.2991/978-94-6463-210-1_11
ID  - Wang2023
ER  -