China Academy for Rural Development, Zhejiang University
Major Project of National Social Science Foundation of China (19ZDA088).
China’s rural reforms have eliminated barriers to labor mobility, and migrant labors continue to move to cities. Understanding the decision-making mechanism of migrant labors’ choice of working location helps to understand the migration tendency of rural labors and the internal reasons at the micro level. Based on the 2014 and 2016 China labor dynamics survey (CLDS) data and applying the ordinary least square and two-stage least square models, this study systematically examined the impacts of children’s gender on the choice of working place by migrant labors. Results show that the income of migrant workers who working away from home are relatively higher, and they are more likely to choose to work away from home when they have a boy. If the first child is a boy, migrant workers are more likely to work away from home. From the perspective of children’s growth stage, when the child is in the infant stage and compulsory education stage, children’s gender has almost no effect on migrant labors. However, when the child is in the marriage stage, boy will significantly increase the possibility of working away from home and after the child’s family stabilizes, the effect of children’s gender is no longer significant. In particular, this study confirms that the synergistic effects of boy preference on children’s gender and when the child is in the marring stage, purchasing or building a house will increase the possibility of migrant labors working away from home. Therefore, this paper suggests to create an equal social environment between men and women, actively implement the supporting policies related to the two-child policy, and further promote the integration of urban and rural development.
李梦华,钱文荣. 子女性别对农民工外地务工决策的影响——基于中国劳动力动态调查数据的经验分析[J]. 农业现代化研究, 2021, 42(1): 142-152
LI Meng-hua, QIAN Wen-rong. Influence of children’s gender on migrant labors’ choice of working place: Evidence from the CLDS data[J]. Research of Agricultural Modernization, 2021, 42(1): 142-152