地理学报 ›› 2022, Vol. 77 ›› Issue (10): 2474-2493.doi: 10.11821/dlxb202210005

• 人口地理 • 上一篇    下一篇

中国城市流动人口社会融合的空间格局与影响机制

邢祖哥1(), 黄耿志1,2(), 薛德升1,2   

  1. 1.中山大学地理科学与规划学院,广州 510275
    2.南方海洋科学与工程广东省实验室(珠海),珠海 519082
  • 收稿日期:2021-08-27 修回日期:2022-06-07 出版日期:2022-10-25 发布日期:2022-12-25
  • 通讯作者: 黄耿志(1986-), 男, 博士, 教授, 中国地理学会会员(S110010871M), 研究方向为城市化、非正规经济和劳动力地理。E-mail: hgzhi3@mail.sysu.edu.cn
  • 作者简介:邢祖哥(1998-), 男, 博士生, 研究方向为非正规经济与城镇化。E-mail: xingzg@mail2.sysu.edu.cn
  • 基金资助:
    国家自然科学基金项目(42122007);国家自然科学基金项目(41930646);广州市科技计划项目(202102020272)

Spatial pattern and influencing mechanism of social integration of migrants in Chinese cities

XING Zuge1(), HUANG Gengzhi1,2(), XUE Desheng1,2   

  1. 1. School of Geography and Planning, Sun Yat-sen University, Guangzhou 510275, China
    2. Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, Guangdong, China
  • Received:2021-08-27 Revised:2022-06-07 Published:2022-10-25 Online:2022-12-25
  • Supported by:
    National Natural Science Foundation of China(42122007);National Natural Science Foundation of China(41930646);Science and Technology Program of Guangzhou(202102020272)

摘要:

城市流动人口的社会融合是新型城镇化建设的重点任务。针对现有研究在社会融合的空间特征及流入地作用方面的研究不足,本文基于2017年全国流动人口动态监测调查数据,引入空间分析和分层线性模型,揭示了中国地级以上城市流动人口社会融合的空间格局与影响机制。研究发现:① 中国城市流动人口的总体社会融合指数为0.43,存在行为融合(0.71)>心理融合(0.61)>经济融合(0.33)的维度特征。② 流动人口的社会融合存在空间自相关性和集聚性,高水平社会融合区主要分布在东北地区、山东半岛和川渝地区,低水平社会融合区主要分布在东南沿海、关中平原和华北平原地区。在这些地区中,总体上存在人口50万以下的小城市的流动人口社会融合水平高于大城市的基本特征。③ 流入地因素和个体因素共同影响和形塑了流动人口社会融合的水平和空间格局,且流入地的人口规模、住房支出(房价水平)和公共服务等因素对个体因素的影响具有调节作用,包含正向极化、负向极化、正向均化、负向均化等4种调节机制。本文呼吁从流入地—个体因素关联的人地关系视角开展流动人口社会融合研究,重视流入地因素对个体因素的影响,为基于流入地的政策调控来推进新型城镇化建设提供科学依据。

关键词: 流动人口, 社会融合, 流入地, 分层线性模型, 新型城镇化, 中国

Abstract:

The social integration of urban floating population is the key task of the new-type urbanization in China. In view of the deficiencies of existing studies on the spatial characteristics of social integration and the role of destination city (place of inflow) factors, based on the China Migrants Dynamic Survey in 2017, this paper employs spatial analysis and hierarchical linear model to reveal the spatial pattern and influencing mechanism of social integration of migrants in cities above prefecture level in China. The results show that: (1) the overall social integration index of China's urban migrants is 0.43, which has the dimensional characteristics of behavioral integration (0.71) > psychological integration (0.61) > economic integration (0.33). (2) The social integration of migrants has spatial autocorrelation and agglomeration. The high-level social integration areas are mainly distributed in Northeast China, Shandong Peninsula, and Sichuan and Chongqing, and the low-level social integration areas are mainly found in the southeast coastal areas, Guanzhong Plain and North China Plain. These regions have the basic characteristics that the social integration level of migrants in small cities with a population of less than 0.5 million is higher than that in large cities. (3) Both the destination city and migrant individual factors jointly affect and shape the level and spatial pattern of migrants' social integration. Moreover, it is found that the population size, house price level and public services in the destination city regulate the impact of individual factors by four regulatory mechanisms: positive polarization, negative polarization, positive homogenization and negative homogenization. This paper calls for the research on the social integration of migrants from the human-land interaction perspective highlighting the relation of destination-individual factors to reveal the effect of destination factors on individual factors. This approach can provide a place-based policy implication for promoting the construction of new-type urbanization in China.

Key words: migrants, social integration, place of inflow, hierarchical linear model, new-type urbanization, China