摘要
基于全国流动人口动态监测数据,采用多层线性模型,探讨了社区特征对农村流动人口社会交往的影响。研究表明:流动人口在同一社区内聚集一定程度上抑制了社会交往,但其"跨层"效应强化了"业主身份"对社会交往的正向影响,同时削弱了"社会排斥"的负面影响;流入地经济发展会拉大城乡居民间的社会距离,不利于流动人口社会交往,但其"跨层"效应对从事低端职业的流动人口社会交往有积极影响;社区活动和社区公共服务对流动人口的社会交往不仅有直接促进作用,还通过强化"业主身份"效应和削弱交往中的年龄劣势,间接地促进了社会交往。应通过提高社区公共服务质量,改善社区交往环境、加强社区治理等措施降低流动人口社会交往的内卷风险。
Based on the data of China Migrants Dynamic Survey(CMDS) and using the hierarchical linear models, the influence of community characteristics on the social interaction of the migrant population is discussed. The research shows that from the point of view of direct impact, the proportion of community migrant population have an inhibitory effect on the social interaction in one community, while the cross layer effect intensifies owners’ identity effects social communication positively and weaken the negative effects with social exclusion. In addition, the increase in regional economic development enhances social distance in social communication, but cross layer effect can improve the social interaction of the "low-end occupation" migrant population. Development of community public services and public activities is helpful to the social interaction of the migrant population directly, intensify owners’ identity effects and dampen age disadvantage play an indirect role. Therefore, strengthening community governance, and improving the communication environment in the community can effectively reduce the risk of community segmentation that may be caused by the migration of floating population and family movement, thereby contributing to the promotion of urban-rural integrated development.
作者
彭大松
资源
PENG Da-song;ZI Yuan(Population Research Institute Nanjing University of Posts and Telecommunications,Nanjing 210042,China;High-quality Development Evaluation Research Institute,Nanjing University of Posts and Telecommunications,Nanjing 210042,China)
出处
《华南农业大学学报(社会科学版)》
CSSCI
北大核心
2022年第1期130-140,共11页
Journal of South China Agricultural University(Social Science Edition)
基金
国家社会科学基金一般项目(21BRK031)。
关键词
流动人口
社会交往
社区特征
内卷化
floating population
social interaction
community characteristics
involution