Jiacheng Gao, Yue Liu‡Corresponding author: Jiacheng Gao ( 13951841399@163.com ) © Jiacheng Gao, Yue Liu. This is an open access preprint distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Citation:
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Based on data from a sample of 3163 respondents from the Chinese General Social Survey in 2018, this study constructs a RIF mean regression decomposition model that considers moderating effects to examine the effect of Internet usage on the gender wage gap in the Chinese labor force, and examines the moderating effect of years of education on this effect. The results show that both Internet usage and years of education have stronger premium effects on the wage income of Chinese male labor force compared to female labor force, producing a significant coefficient effect, thus widening the wage gap between Chinese female labor force and male labor force. In addition, years of education have a significant moderating effect on the relationship between Internet usage and the gender wage gap in the Chinese labor force. With the effect of years of education, the gap between the characteristics of Chinese female labor force and male labor force regarding Internet usage will further widen the gender wage gap, and this widening effect increases as the number of years of education increases. Thus, this study tries to make suggestions in terms of accelerating the construction of Internet infrastructure, strengthening the training of Internet usage skills of the labor force, and improving the education level of the labor force and its knowledge reserve in order to contribute to the reduction of the gender wage gap in Chinese labor force.