城乡结合部外来人口空间分布与分异——以北京为例
发布时间：2018-08-12 21:01
【摘要】：基于人口普查等数据,探讨了城乡结合部外来人口空间分布与社会分异的特征与变化。结果表明:城乡结合部是外来人口空间分布最集中的区域,同时该区域外来人口的空间分异程度也相对较高。相对于广义的城乡结合部,城乡结合部核心区外来人口与其他人群混居的程度略高,但接触可能性反而更低,外来人口活动空间的封闭程度和自服务特征更加显著。城乡结合部不同职业外来人口的空间分异程度有所差异,概括而言,职位、技能较高和就业稳定性较强的外来人口与本地人口的混居程度较高,而在劳动密集型部门就业的外来人口则自身群居性较强。10年间,城乡结合部外来人口空间分布出现整体外移的同时也在向局部地区集聚,社会融合水平未发生明显的变化。外来人口作为城乡结合部经济社会空间形成与发展中的重要参与主体之一,其空间分布与分异特征,以及社会融合的有效途径等应该成为城乡结合部规划管理与治理改造中认真思考的问题。
[Abstract]:Based on the census data, the characteristics and changes of the spatial distribution and social differentiation of the alien population in urban and rural areas are discussed. The results show that the rural-urban conjunctions are the most densely distributed regions of the alien population, and the spatial differentiation of the alien population in the region is also relatively high. Compared with the broad sense of urban-rural conjunctions, the degree of mixed population in the core area of urban and rural areas is slightly higher, but the possibility of contact is lower, and the closure degree and self-service characteristics of the activity space of the alien population are more significant. The degree of spatial differentiation of different occupation migrants in urban and rural areas is different. Generally speaking, the mixed degree of the foreign population and the local population with higher position, higher skill and stronger employment stability is higher than that of the local population. However, in the labor-intensive sectors, the migrant population in the labor intensive sector has its own strong group population. During the past 10 years, the spatial distribution of the migrant population in the urban-rural conjunctions is moving out as a whole, and at the same time, it is also gathering in the local areas, and the level of social integration has not changed significantly. As one of the important participants in the formation and development of urban and rural economic and social space, the alien population is characterized by its spatial distribution and differentiation. The effective ways of social integration should be considered seriously in planning management and management reform of urban and rural areas.
【作者单位】： 中国人民大学区域与城市经济研究所;北京大学城市与环境学院;
【基金】：国家自然科学基金项目(41571160)
【分类号】：C924.2
[Abstract]:Based on the census data, the characteristics and changes of the spatial distribution and social differentiation of the alien population in urban and rural areas are discussed. The results show that the rural-urban conjunctions are the most densely distributed regions of the alien population, and the spatial differentiation of the alien population in the region is also relatively high. Compared with the broad sense of urban-rural conjunctions, the degree of mixed population in the core area of urban and rural areas is slightly higher, but the possibility of contact is lower, and the closure degree and self-service characteristics of the activity space of the alien population are more significant. The degree of spatial differentiation of different occupation migrants in urban and rural areas is different. Generally speaking, the mixed degree of the foreign population and the local population with higher position, higher skill and stronger employment stability is higher than that of the local population. However, in the labor-intensive sectors, the migrant population in the labor intensive sector has its own strong group population. During the past 10 years, the spatial distribution of the migrant population in the urban-rural conjunctions is moving out as a whole, and at the same time, it is also gathering in the local areas, and the level of social integration has not changed significantly. As one of the important participants in the formation and development of urban and rural economic and social space, the alien population is characterized by its spatial distribution and differentiation. The effective ways of social integration should be considered seriously in planning management and management reform of urban and rural areas.
【作者单位】： 中国人民大学区域与城市经济研究所;北京大学城市与环境学院;
【基金】：国家自然科学基金项目(41571160)
【分类号】：C924.2
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