What Influences Family Migration Decision of China’s New Generation Rural-urban Migrants? A Multilevel Logistic Regression Analysis

The massive scale of new-generation rural-urban migrants in China has attracted extensive scholarly attention recent years. While previous studies on China’s rural migrant workers focus migrants’ individual settlement intentions, migrant’s family migration decision-making and the intergenerational differences between old-generation are underexplored. Based data 2017 Migrants Dynamic Survey, this paper adopts a multilevel logistic regression approach to explore destination factors influencing decision new generation workers. empirical results reveal that both attributes significantly influence their decision. demographic socioeconomic characteristics have been pivotal underlying migrants, while 16.9% chances is explained by between-destination differences. Self-employed with housing properties host cities, long duration high-income level more likely migrate members. Yet, possibility found be negatively correlated age, education level, number children inter-provincial mobility In addition, cities service-oriented industry structure, better environmental quality, higher hukou barriers which possibly related job opportunities. These research findings not only complement existing literature but also important policy implications for reforming system enhancing social integration rural-to-urban population.