Gender Differences in Migrant Workers’ Wages and Their Influencing Factors in the Central Hilly Regions of China

Zhanhui Fu, Hongqiang Jiang, Jiajun Qiao (), Xiaojun Jiang and Weichun He
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Zhanhui Fu: The College of Geography and Environmental Science, Henan University, Kaifeng 475001, China
Hongqiang Jiang: School of Geographical Sciences, Northeast Normal University, Changchun 130024, China
Jiajun Qiao: The College of Geography and Environmental Science, Henan University, Kaifeng 475001, China
Xiaojun Jiang: Department of Resource Management, Tangshan Normal University, Tangshan 063000, China
Weichun He: School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China

Land, 2023, vol. 12, issue 7, 1-16

Abstract: Since the reform and opening up, the socioeconomic status of women in rural China has risen rapidly. However, unlike men, women have not been able to earn higher wages by “working in all directions”. Based on the interview data of 2064 migrant workers, this paper explores the nonlinear interaction of individual characteristics and urban geographic factors with gender differences in migrant workers’ wages with the help of random forest regression models. The results show the following: (1) migrant workers’ wages show obvious gender differences in different dimensions, but in general, men’s wages are higher than women’s wages; (2) there are also gender differences in the influencing factors of migrant workers’ wages. Work experience is more important for male migrant workers’ wages, age is more important for female migrant workers’ wages, and there is a variable effect of each factor on migrant workers’ wages. This paper is of great help in understanding the travel trajectories of migrant workers and gender differences in wages and holds reference value for guiding migrant workers in choosing jobs and places and increasing their income.

Keywords: migrant workers; gender difference in wages; random forest model; rural land use; central hilly region of China (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
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