Spatial Heterogeneity of Housing Space Consumption in Urban China: Locals vs. Inter- and Intra-Provincial Migrants
文献类型:期刊论文
作者 | Cao, Yuting1; Liu, Ran1; Qi, Wei2![]() |
刊名 | SUSTAINABILITY
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出版日期 | 2020-06-01 |
卷号 | 12期号:12页码:26 |
关键词 | migrants locals housing space consumption migratory pattern mainland China |
DOI | 10.3390/su12125206 |
通讯作者 | Liu, Ran(liu.ran.space@hotmail.com) |
英文摘要 | The relationships between migration and housing congestion have attracted attention in engaging the public against the COVID-19 pandemic and some other public health crises. In recent years in China, promoting the citizenization ("shimin hua") of migrants and improving the quality of urbanization have become the focus of attention in the new-type urbanization today. The housing space consumption of migrants is one of the important indices to look into regarding their real living status in the receiving cities: how do the housing consumption behavior and residential quality vary between the local, inter-and intra-provincial migratory patterns? This article uses the micro household data of the 1% population sampling survey conducted in 2015 by the National Bureau of Statistics of China to look into the spatial variance of the aggregate housing space consumption behaviors of the local and non-local population at the prefectural level and above in urban China. This study finds that: (a) the longer migratory pattern indicates a thriftier housing space consumption that implies a higher probability of residential overcrowding among the inter-provincial migrants; at the same time, the locals enjoy the greater living comfort than their migrant peers; (b) the spatial variance in terms of housing space consumption can be attributed to a series of destination city contexts, such as the geological background, city administrative rank, areal location, local-nonlocal demography, municipal economic growth, and the local residential development levels. The results show that the more "targeted" housing policies are needed to solve the housing difficulties with migrant workers for a goal of human-centered urbanization development. Although we lack the more detailed data-sets to examine the correlation between public health risks (like the COVID-19 pandemic) and housing congestion problems (especially with the population on the move), this research is still illuminating in terms of how to cut down the public health risk in a highly mobile and rapidly urbanizing context like China. |
WOS关键词 | INTERPROVINCIAL MIGRATION ; REGIONAL-DEVELOPMENT ; POSTREFORM CHINA ; LABOR-MARKET ; STATE POLICY ; INEQUALITY ; HEALTH ; HUKOU ; TUBERCULOSIS ; WORKERS |
资助项目 | National Natural Science Foundation of China[41701188] ; Beijing Philosophy and Social Science Planning Program and Social Science Research Key Program of Beijing Municipal Commission of Education[SZ202010028016] |
WOS研究方向 | Science & Technology - Other Topics ; Environmental Sciences & Ecology |
语种 | 英语 |
WOS记录号 | WOS:000550358100001 |
出版者 | MDPI |
资助机构 | National Natural Science Foundation of China ; Beijing Philosophy and Social Science Planning Program and Social Science Research Key Program of Beijing Municipal Commission of Education |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/158332] ![]() |
专题 | 中国科学院地理科学与资源研究所 |
通讯作者 | Liu, Ran |
作者单位 | 1.Capital Normal Univ, Coll Resource Environm & Tourism, 105 West 3rd Ring Rd North, Beijing 100048, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100864, Peoples R China |
推荐引用方式 GB/T 7714 | Cao, Yuting,Liu, Ran,Qi, Wei,et al. Spatial Heterogeneity of Housing Space Consumption in Urban China: Locals vs. Inter- and Intra-Provincial Migrants[J]. SUSTAINABILITY,2020,12(12):26. |
APA | Cao, Yuting,Liu, Ran,Qi, Wei,&Wen, Jin.(2020).Spatial Heterogeneity of Housing Space Consumption in Urban China: Locals vs. Inter- and Intra-Provincial Migrants.SUSTAINABILITY,12(12),26. |
MLA | Cao, Yuting,et al."Spatial Heterogeneity of Housing Space Consumption in Urban China: Locals vs. Inter- and Intra-Provincial Migrants".SUSTAINABILITY 12.12(2020):26. |
入库方式: OAI收割
来源:地理科学与资源研究所
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