李庭竹

个人信息Personal Information

中级

硕士生导师

教师拼音名称:Li Tingzhu

出生日期:1995-06-17

电子邮箱:

入职时间:2024-07-01

所在单位:乡村振兴研究院(苏中发展研究院)

学历:博士研究生毕业

办公地点:扬州大学荷花池校区主楼607

性别:男

学位:理学博士学位

在职信息:在岗

毕业院校:华东师范大学

学科:人文地理学
技术经济及管理

论文成果

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Regional Heterogeneity of Migrant Rent Affordability Stress in Urban China: A Comparison between Skilled and Unskilled Migrants at Prefecture Level and Above

点击次数:

影响因子:3.6

DOI码:10.3390/su11215920

发表刊物:Sustainability

关键字:internal migration; mainland China; regional heterogeneity; rent affordable stress; skilled migrants; unskilled migrants; prefectural cities

摘要:Rental housing unaffordability has been widely used to assess the housing poverty problem among immigrants in the developed and developing countries. China is experiencing an unprecedented urbanization process, with two-thirds of its 250 million migrants now being sheltered in private rental housing in the host cities. In this paper, we aimed to examine the rental housing unaffordability problems faced by migrant workers in urban China and provide policy recommendations for a more accessible and affordable migrant housing provision system. We used the household data on China's Migrant Dynamics Monitoring Survey (MDMS), released in 2016, across China's 329 prefecture-level cities and above to look into the sociality and spatiality of migrant rent expenses and rent-income ratio at the prefecture-level cities and above. The statistical tests were conducted to examine the socio- and spatial-variance of these rent stress indexes, and it was found that educational level is a significant and quite powerful indicator in predicting who will or will not assume the heavier rental housing pressure. We then continued to reveal the different spatiality of high-rent-stress migrants across the high- and low-skilled categories. An agglomeration of the high-skilled high-rent-stress migrants was witnessed in the coastal growth engines of urban clusters, while a more spillover-like pattern among the low-skilled high-rent-stress migrants was reported in our study. An ordinary least square and spatial regression analysis was conducted to explain their respective mechanisms.

备注:扬州大学人文社会科学三级权威期刊

合写作者:Qi Wei

第一作者:Li Tingzhu

论文类型:Research Atricle

通讯作者:Liu Ran

论文编号:5920

学科门类:理学

一级学科:地理学

文献类型:Journal

卷号:11

期号:21

ISSN号:2071-1050

是否译文:

发表时间:2019-10-24

收录刊物:SCI、SSCI