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

PloS One
Yingqi GuoPaul S F Yip

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...Continue Reading

References

Oct 19, 2007·Proceedings of the National Academy of Sciences of the United States of America·Paul O OkwiJohn Owuor
Sep 29, 2012·Social Science Research·Katherine J CurtisDavid D Long

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Citations

Oct 31, 2019·International Journal of Geriatric Psychiatry·Yingqi GuoPaul S F Yip
Apr 4, 2021·International Journal of Environmental Research and Public Health·Norberto Santos-JuniorElvira Maria Godinho de Seixas Maciel

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