School of Economics and Management, Shandong Agricultural University, Tai'an 271018, China.
School of Public Administration, Shandong Agricultural University, Tai'an 271018, China.
Int J Environ Res Public Health. 2022 Jun 8;19(12):7017. doi: 10.3390/ijerph19127017.
Based on the China Migrants Dynamic Survey (CMDS) data from 2018 and the data from 58 large- and medium-sized cities in China, in this paper a hierarchical linear model was used to investigate the impact of demographic characteristics, social participation, and economic and social development on the perceived social integration of new urban immigrants at the individual and urban levels. The results revealed the following: (1) social participation, gender, age, education, health status, flow time and housing type of new urban immigrants had a significant positive impact on their perceived social integration, while income showed a U-shaped relationship with the sense of urban social integration; (2) macro-urban characteristics regulated the correlation between micro-individual factors and perceived social integration; (3) the significant advantages of new urban immigrants with higher education and more social participation in the process of integration into urban society were more obvious in cities with higher levels of economic development or public services. These findings enriched relevant research on the factors influencing the social integration of new urban immigrants and provided valuable insight with which the government could use to improve urban construction and promote the equalization of basic public services.
基于中国流动人口动态监测调查（CMDS）2018 年数据以及中国 58 个大中城市的数据，本文采用分层线性模型，从个体和城市两个层面探讨了人口特征、社会参与以及经济社会发展对新城市移民感知社会融合的影响。结果表明：（1）新城市移民的社会参与、性别、年龄、教育、健康状况、流动时间和住房类型对其感知社会融合有显著正向影响，而收入与城市社会融合感呈 U 型关系；（2）宏观城市特征调节了微观个体因素与感知社会融合之间的相关性；（3）在经济发展水平或公共服务水平较高的城市，具有较高教育水平和更多社会参与的新城市移民在融入城市社会过程中的显著优势更为明显。这些发现丰富了有关影响新城市移民社会融合因素的研究，并为政府改善城市建设和促进基本公共服务均等化提供了有价值的见解。
