Release time:2025-11-04  Hits:

• Impact Factor:3.6
• DOI number:10.3390/su11215920
• Journal:Sustainability
• Key Words:internal migration; mainland China; regional heterogeneity; rent affordable stress; skilled migrants; unskilled migrants; prefectural cities
• Abstract: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.
• Note:扬州大学人文社会科学三级权威期刊
• Co-author:Qi Wei
• First Author:Li Tingzhu
• Indexed by:Research Atricle
• Correspondence Author:Liu Ran
• Document Code:5920
• Discipline:Natural Science
• First-Level Discipline:Geography
• Document Type:Journal
• Volume:11
• Issue:21
• ISSN No.:2071-1050
• Translation or Not:no
• Date of Publication:2019-10-24
• Included Journals:SCI、SSCI