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

Yingqi Guo, Shu Sen Chang, Feng Sha, Paul S.F. Yip*

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

23 Citations (Scopus)

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.

Original languageEnglish
Article numbere0190566
JournalPLoS ONE
Volume13
Issue number2
DOIs
Publication statusPublished - Feb 2018

Scopus Subject Areas

  • General

Fingerprint

Dive into the research topics of 'Poverty concentration in an affluent city: Geographic variation and correlates of neighborhood poverty rates in Hong Kong'. Together they form a unique fingerprint.

Cite this