A Study on Internet Use, Gender Concepts, and Full Employment of Women Based on the Ologit Model

Abstract

Full employment is not only related to the healthy development of the labor market but also to the optimization of educational resource allocation and the normal functioning of the education system. Therefor, identifying the factors that affect females' full employment is particularly necessary. This study examines the state of full employment from the perspective of females' internet use. Based on data from the China Family Panel Studies (CFPS), this research constructs indicators for internet use and full employment, employing ordinal logistic regression (Ologit) to analyze their relationship. The findings reveal that internet use among females increases their likelihood of achieving full employment. Females who use internet more are less likely to experience educational mismatches, insufficient working hours, and lower labor compensation. Particularly, females with low levels of education, those living in rural areas, and married females are more significantly affected. Internet use influences full employment by steering females toward equal gender perception. The article emphasizes the importance of considering internet use and gender perception in females' full employment and advocates for the promotion of females' legal and equal labor rights.