流动人口住房自有率及购房意愿率的空间格局及影响因素  

Spatial variation and its determinants of migrants’homeownership rate and house-purchase intention rate

作　　者：于颖 刘冉 YU Ying;LIU Ran(College of Resource Environment and Tourism,Capital Normal University,Beijing 100048)

机构地区：[1]首都师范大学资源环境与旅游学院,北京100048

出　　处：《首都师范大学学报（自然科学版）》2021年第2期57-65,共9页Journal of Capital Normal University：Natural Science Edition

基　　金：国家自然科学基金项目(42071201,41701188);北京市哲学社会科学规划项目;北京市教育委员会人文社会科学研究计划重点项目(SZ202010028016)。

摘　　要：基于2016年全国流动人口动态监测调查数据,对我国319个地级及以上行政区全部流动人口在流入地的住房自有率以及其中无房户购房意愿率的空间分异格局及影响因素进行了系统分析.研究表明:我国流动人口在流入地的住房自有率及无房户的购房意愿率分别为0~85.00%和0~75.00%,均值分别为30.45%和22.17%,二者总体上都呈现出北高南低的分布格局.全部流动人口住房自有状况及无房户购房意愿的logistic回归模型结果显示,流入地城市的从业人员数量、高科技从业人员比例、城市等级以及流动人口的受教育程度、在其他地区是否有自有住房和长居意愿是影响流动人口住房自有率和无房户购房意愿率的重要指标.Based on data from the 2016 national migrant dynamics monitoring survey,this article examines the spatial pattern and its determinants of all migrants’homeownership rate and the houseless migrants’house-purchase intention rate of Chinese 319 prefecture-and provincial-level cities.The results show that:the range of the homeownership rate of the migrants and the houseless migrants’house-purchase intention rate in the inflow area are0-85.00%and 0-75.00%,with an average of 30.45%and 22.17%respectively,and both of them are generally higher in the north than in the south.The regression models of migrants’homeownership and houseless migrants’house purchase intention reveal that,cities’number of employees,proportion of high-tech employees and city’s administrative rank,and migrants’educational level,whether have their own houses in other areas and long-term residence willingness are important indicators that affect all migrants’homeownership rate and the houseless migrants’house-purchase intention rate.

关 键 词：流动人口 住房自有率 购房意愿率 地级及以上行政区 影响因素 

分 类 号：K901.3[历史地理—人文地理学]