The Differentiated Impact of Social Capital Types on the Urban Integration of Migrant Workers: An Empirical Analysis based on CGSS Data
DOI:
https://doi.org/10.54097/xye8z096Keywords:
Social Capital, Rural Migrant Workers, Urban Integration, Heterogeneous Social Capital, Binary Logistic RegressionAbstract
The urban integration of rural migrant workers constitutes a critical issue in advancing people-centered new-type urbanization. Existing research has predominantly analyzed integration dilemmas from macro-institutional perspectives, paying insufficient attention to the micro-level differential impacts among different types of social capital. The internal heterogeneity of social capital and its mechanisms of influence on different integration dimensions have yet to be fully clarified. From the perspective of social capital heterogeneity, this study utilizes data from the Chinese General Social Survey (CGSS) 2021, screening 1,741 valid rural migrant worker samples, and employs binary Logistic regression models to empirically test the differential impacts of homogeneous and heterogeneous social capital on urban integration. The findings reveal that: heterogeneous social capital exerts a significant positive effect on urban integration—for each level increase in interaction frequency with neighbors, the probability of integration increases by approximately 11.5%; homogeneous social capital does not produce an independent significant effect on urban integration; among control variables, years of education demonstrates a significant positive impact on urban integration. These conclusions reveal that the directional effect of social capital is not vaguely positive or negative, but rather depends on the specific type of social capital—heterogeneous social capital plays a significant positive promoting role, whereas homogeneous social capital produces no significant effect—providing empirical evidence and policy references for promoting the orderly integration of rural migrant workers into cities.
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