Explaining hierarchical and interprovincial migrations of Chinese young adults by personal factors and place attributes: A nested logit analysis

This paper uses a two-level nested logit model to explain the inter-stratum (city, town and rural county) and interprovincial migration behaviors of the young adults (aged 17-29) in China during a three-year period (1985-87), based on the micro data of the 1987 National Population Survey. The migration propensity of each person is represented by a departure probability and a destination choice probability. These probabilities are then expressed as functions of personal factors and place attributes. The main findings are that personal factors are of paramount importance in explaining the departure behaviors, and that both departure and destination behaviors responded to market forces in a sensible way, despite government control on territorial movements.