A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Integration of migrant workers: Differentiation among three rural migrant enclaves in Shenzhen
Abstract This study investigates three types of migrant enclaves in Shenzhen and focuses on social integration from the perspective of spatial differentiation. The villages are Luofang Village, a hometown-based enclave in its increasing stage; Gongle Village, a mixed, stable enclave; and Qinghu Village, an industry-dependent enclave whose scale of migrant workers has been gradually decreasing since 2008. The findings are as follows: Luofang Village has the highest social integration level, followed by Gongle Village and Qinghu Village. Luofang Village ranks first in community integration, social relations integration, and psychological integration. Gongle Village has the highest degree of economic integration, and Qinghu Village has the highest degree of cultural integration. Social integration in Luofang Village is mainly influenced by community support, community function, age, and marital status; that in Gongle Village is mainly influenced by vocational skills, marital status, and age; and that in Qinghu Village is mainly influenced by community support and length of residence in Shenzhen. This study extends the research on differentiation in relation to the social integration of migrant workers and supplements interdisciplinary discussions on social integration. The conclusions can serve as a reference for local governments with respect to the citizenization of migrant workers.
Highlights This paper investigates the differences of social integration among the three types of migrant enclaves in Shenzhen from community integration, economic integration, social relations integration, cultural integration and psychological integration. Community factors play an important role on social integration, especially on community integration and psychological integration.
Integration of migrant workers: Differentiation among three rural migrant enclaves in Shenzhen
Abstract This study investigates three types of migrant enclaves in Shenzhen and focuses on social integration from the perspective of spatial differentiation. The villages are Luofang Village, a hometown-based enclave in its increasing stage; Gongle Village, a mixed, stable enclave; and Qinghu Village, an industry-dependent enclave whose scale of migrant workers has been gradually decreasing since 2008. The findings are as follows: Luofang Village has the highest social integration level, followed by Gongle Village and Qinghu Village. Luofang Village ranks first in community integration, social relations integration, and psychological integration. Gongle Village has the highest degree of economic integration, and Qinghu Village has the highest degree of cultural integration. Social integration in Luofang Village is mainly influenced by community support, community function, age, and marital status; that in Gongle Village is mainly influenced by vocational skills, marital status, and age; and that in Qinghu Village is mainly influenced by community support and length of residence in Shenzhen. This study extends the research on differentiation in relation to the social integration of migrant workers and supplements interdisciplinary discussions on social integration. The conclusions can serve as a reference for local governments with respect to the citizenization of migrant workers.
Highlights This paper investigates the differences of social integration among the three types of migrant enclaves in Shenzhen from community integration, economic integration, social relations integration, cultural integration and psychological integration. Community factors play an important role on social integration, especially on community integration and psychological integration.
Integration of migrant workers: Differentiation among three rural migrant enclaves in Shenzhen
Yang, Gao (author) / Zhou, Chunshan (author) / Jin, Wanfu (author)
Cities ; 96
2019-08-30
Article (Journal)
Electronic Resource
English
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