This paper analyzes the impact of rural-to-urban migration on income inequality and gender wage gap in source regions using a newly constructed panel dataset for around 100 villages over a ten-year period from 1997 to 2006 in China. Since income inequality is time-persisting, this paper uses a system GMM framework to control for the lagged income inequality, in which contemporary emigration is also validly instrumented. The paper finds a Kuznets (inverse U-shaped) pattern between migration and income inequality in the sending communities. Specifically, contemporary emigration increases income inequality, while lagged emigration has strong income inequality reducing effect in the sending villages. A 50-percent increase in the lagged emigration rate translates into one-sixth to one-seventh standard deviation reduction in inequality. These effects are robust to the different specifications and different measures of inequality. More interestingly, the estimated relationship between emigration and the gender wage gap also has an inverse Ushaped pattern. Emigration tends to increase the gender wage gap initially, and then tends to decrease it in the sending villages.
URL : https://mpra.ub.uni-muenchen.de/16896/1/MPRA_paper_16896.pdf