Neighbourhoods and Fertility in Accra, Ghana: An AMOEBA-based Approach

dc.contributor.authorAgyei-Mensah, S.
dc.contributor.authorWeeks, J. R.
dc.contributor.authorGetis, A.
dc.contributor.authorHill, A. G.
dc.contributor.authorRain, D.
dc.date.accessioned2012-05-04T11:28:40Z
dc.date.accessioned2017-10-14T14:07:34Z
dc.date.available2012-05-04T11:28:40Z
dc.date.available2017-10-14T14:07:34Z
dc.date.issued2010
dc.description.abstractFertility levels remain high in most of sub-Saharan Africa, despite recent declines, and even in a large capital city such as Accra, Ghana, women are having children at a pace that is well above replacement level and this will contribute to significant levels of future population growth in the city. Our purpose in this article is to evaluate the way in which neighbourhood context might shape reproductive behavior in Accra. In the process, we introduce several important innovations to the understanding of intraurban fertility levels in a sub-Saharan African city: (1) Despite the near explosion of work on neighborhoods as a spatial unit of analysis, very little of this research has been conducted outside of the richer countries; (2) we characterize neighborhoods on the basis of local knowledge of what we call vernacular neighborhoods; (3) we then define what we call organic neighborhoods using a new clustering tool—the AMOEBA algorithm—to create these neighborhoods; and (4) we then we evaluate and explain which of the neighbourhood concepts has the largest measurable contextual effect on an individual woman’s reproductive behavior. Multilevel regression analysis suggests that vernacular neighbourhoods are more influential on a woman’s decision to delay marriage, whereas the organic neighborhoods based on socioeconomic status better capture the factors that shape fertility decisions after marriage.en_US
dc.identifier.urihttp://197.255.68.203/handle/123456789/1070
dc.language.isoenen_US
dc.publisherAnnals of the Association of American Geographers 100(3): 558-578en_US
dc.titleNeighbourhoods and Fertility in Accra, Ghana: An AMOEBA-based Approachen_US
dc.typeArticleen_US

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