Abstract

Based on the China Family Panel Study (CFPS) 2014, this paper studied the relationship between the frequencies of working with the Internet and the wage income gap between urban and rural areas. The study found that the frequencies of working with the Internet has a significant effect on wage income through separate analyses of urban and rural areas; the frequencies of working with the Internet has no significant effect on the wage income gap between urban and rural areas; when using quantile regression, the frequencies of working with the Internet still has no significant impact on the wage income gap between urban and rural areas except at the 75th quantile. These conclusions are different from the conclusions of direct comparison of regression coefficients. The FGLS method was used to solve the problem of heteroscedasticity in the urban subsample.

Highlights

  • Reducing the income gap between urban and rural areas is the proper meaning of realizing the Chinese dream and the requirement for realizing the rural revitalization strategy

  • Based on the China Family Panel Study (CFPS) 2014, this paper studied the relationship between the frequencies of working with the Internet and the wage income gap between urban and rural areas

  • The study found that the frequencies of working with the Internet has a significant effect on wage income through separate analyses of urban and rural areas; the frequencies of working with the Internet has no significant effect on the wage income gap between urban and rural areas; when using quantile regression, the frequencies of working with the Internet still has no significant impact on the wage income gap between urban and rural areas except at the 75th quantile

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Summary

Introduction

Reducing the income gap between urban and rural areas is the proper meaning of realizing the Chinese dream and the requirement for realizing the rural revitalization strategy. What effect will the frequencies of working with the Internet have on the wage income gap between urban and rural areas? The innovations of this paper are as follows: Firstly, this paper studies the impact of the frequencies of using the Internet on the wage income gap between urban and rural areas. There is less research on the relationship between the frequencies of working with the Internet and the wage gap between urban and rural areas. When studying the impact of the frequencies of working with the Internet on urban and rural wage income, this paper divides the sample into two groups, urban and rural, and compares the coefficients of the core explanatory variables after regression to see if they are significantly different. The research conclusions and policy implications is the last part

Using the Internet to Work and the Urban-Rural Wage Income Gap
The Relationship between Education Level and the Use of the Internet
The Impact of Using Computers or the Internet on Wage Income
The Data Source and Processing
Empirical Analysis
Tests for Heteroscedasticity and Correlation
Seemingly Unrelated Regression Model Test
Fisher Combination Test
Findings
Conclusions and Revelations
Full Text
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