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Strangers in a strange land: Mapping household and neighbourhood associations with improved wellbeing outcomes in Accra, Ghana.

Authors :
Cavanaugh, Alicia C.
Baumgartner, Jill C.
Bixby, Honor
Schmidt, Alexandra M.
Agyei-Mensah, Samuel
Annim, Samuel K.
Anum, Jacqueline
Arku, Raphael
Bennett, James
Berkhout, Frans
Ezzati, Majid
Mintah, Samilia E.
Owusu, George
Tetteh, Jacob Doku
Robinson, Brian E.
Source :
Cities. Dec2023, Vol. 143, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

Urban poverty is not limited to informal settlements, rather it extends throughout cities, with the poor and affluent often living in close proximity. Using a novel dataset derived from the full Ghanaian Census, we investigate how neighbourhood versus household socio-economic status (SES) relates to a set of household development outcomes (related to housing quality, energy, water and sanitation, and information technology) in Accra, Ghana. We then assess "stranger" households' outcomes within neighbourhoods: do poor households fare better in affluent neighbourhoods, and are affluent households negatively impacted by being in poor neighbourhoods? Through a simple generalized linear model we estimate the variance components associated with household and neighbourhood status for our outcome measures. Household SES is more closely associated with 13 of the 16 outcomes assessed compared to the neighbourhood average SES. For 9 outcomes poor households in affluent areas fair better, and the affluent in poor areas are worse off. For two outcomes, poor households have worse outcomes in affluent areas, and the affluent have better outcomes in poor areas, on average. For three outcomes "stranger" households do worse in strange neighbourhoods. We discuss implications for mixed development and how to direct resources through households versus location-based targets. • Household versus neighbourhood socioeconomic status – which matters more? • Do poor households fare better in high-income neighbourhoods, and vice versa? • We test these questions with the full 100 % Ghanian Census. • Poor households in affluent neighbourhoods do better on 9 of 16 outcomes we test. • Implications for mixed development and household versus location-based targeting. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02642751
Volume :
143
Database :
Academic Search Index
Journal :
Cities
Publication Type :
Academic Journal
Accession number :
173415243
Full Text :
https://doi.org/10.1016/j.cities.2023.104584