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  4. Poverty concentration in an affluent city: Geographic variation and correlates of neighborhood poverty rates in Hong Kong
 
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Poverty concentration in an affluent city: Geographic variation and correlates of neighborhood poverty rates in Hong Kong

Journal
PLoS ONE
Journal Volume
13
Journal Issue
2
Date Issued
2018
Author(s)
Guo Y.
SHU-SEN CHANG  
Sha F.
Yip P.S.F.
DOI
10.1371/journal.pone.0190566
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042669466&doi=10.1371%2fjournal.pone.0190566&partnerID=40&md5=baf2fa9e55014677b4b90300d4ceb24d
https://scholars.lib.ntu.edu.tw/handle/123456789/415254
Abstract
Previous investigations of geographic concentration of urban poverty indicate the contribution of a variety of factors, such as economic restructuring and class-based segregation, racial segregation, demographic structure, and public policy. However, the models used by most past research do not consider the possibility that poverty concentration may take different forms in different locations across a city, and most studies have been conducted in Western settings. We investigated the spatial patterning of neighborhood poverty and its correlates in Hong Kong, which is amongst cities with the highest GDP in the region, using the city-wide ordinary least square (OLS) regression model and the local-specific geographically weighted regression (GWR) model. We found substantial geographic variations in small-area poverty rates and identified several poverty clusters in the territory. Factors found to contribute to urban poverty in Western cities, such as socioeconomic factors, ethnicity, and public housing, were also mostly associated with local poverty rates in Hong Kong. Our results also suggest some heterogeneity in the associations of poverty with specific correlates (e.g. access to hospitals) that would be masked in the city-wide OLS model. Policy aimed to alleviate poverty should consider both city-wide and local-specific factors. © 2018 Guo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
SDGs

[SDGs]SDG1

[SDGs]SDG3

[SDGs]SDG10

[SDGs]SDG11

Other Subjects
Article; educational status; ethnicity; geographic distribution; health care access; Hong Kong; housing; human; neighborhood; poverty; socioeconomics; spatial analysis; unemployment; urban population; demography; regression analysis; Hong Kong; Humans; Poverty; Regression Analysis; Residence Characteristics
Publisher
Public Library of Science
Type
journal article

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