Abstract：Based on the China Migrants Dynamic Survey from 2014 to 2018， a multi-dimensional relative poverty index system for migrant workers was constructed from the three dimensions of economic conditions， self-development and social security， and the spatial statistical tools and spatial Durbin model were used to investigate the spatial differentiation and influencing factors of multi-dimensional relative poverty of migrant workers in China. The results are shown as follows. 1)The multidimensional relative poverty of migrant workers in China has been improving year by year， and the incidence of poverty has been decreasing. The contribution of social security indicators to the multidimensional relative poverty index of migrant workers showed a downward trend， while the contribution of economic conditions and self-development indicators tended to increase. 2)The multi-dimensional relative poverty situation of migrant workers in the three major regions of eastern， central and western regions， various urban agglomerations and cities at all levels showed an overall improvement trend. The eastern region， national urban agglomerations， large-scale cities have a large mitigation range. 3)The multi-dimensional relative poverty distribution of migrant workers showed a certain spatial dependence， and L-L agglomeration cities were mainly distributed in the central and western regions. 4)The personality characteristics of migrant workers， such as gender， age， and education， and external factors such as fiscal expenditure， medical service supply， and information construction in the inflow area， affect the multidimensional relative poverty of migrant workers. The education level of migrant workers and the supply of basic medical services in the inflow areas not only effectively exert the poverty reduction effect， but also show certain spatial spillover characteristics.
2024, Vol. 58 
