关键词: 区域分割, 收入差距, 夏普里值, 回归分解

Abstract: According to the survey data of CHIPS migrant workers, based on regression-based decomposition using shapley value, this paper examines regional segmentation, human capital, social capital and unit characteristics’ contribution to migrant workers’ income gap. In the conclusions, regional factor's contribution to the income gap of rural migrant workers is the largest, which is smaller to the eastern, central and western within-gap. Health and experience factors’ contribution is the second largest. The industry and professional type that migrant workers engaged in is an important cause of income gap of migrant workers. The contribution of gender is moderate, which is serious in the west. Education's contribution to the income gap of rural migrant workers is lower than that of urban workers; unit characteristic’s contribution to the income gap of rural migrant workers in the western region is large. On the contrary, it’s small to the eastern, central regions and all samples. The contribution of social capital is very low.

Key words: Regional Segmentation, Income Disparity, Shapley Value, Regression-based Decomposition