Neighborhoods and fertility in Accra, Ghana: an AMOEBA-based approach
Neighborhoods and fertility in Accra, Ghana: an AMOEBA-based approach
Fertility 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 neighborhood 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 neighborhood concepts has the largest measurable contextual effect on an individual woman's reproductive behavior. Multilevel regression analysis suggests that vernacular neighborhoods 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.
558-578
Weeks, John R.
78515864-f87d-4ef8-8801-df8a8fd3801d
Getis, Arthur
e81b5dab-893f-495c-91a6-335c263878e2
Hill, Allan G.
5b17aa71-0c14-4fbf-8bc9-807c8294d4ae
Agyei-Mensah, Samuel
41d3a8ef-4ac7-4378-a53c-0094770ab3f8
Rain, David
c9bfdd87-0d0f-4a17-87ee-525c2f75ad26
19 May 2010
Weeks, John R.
78515864-f87d-4ef8-8801-df8a8fd3801d
Getis, Arthur
e81b5dab-893f-495c-91a6-335c263878e2
Hill, Allan G.
5b17aa71-0c14-4fbf-8bc9-807c8294d4ae
Agyei-Mensah, Samuel
41d3a8ef-4ac7-4378-a53c-0094770ab3f8
Rain, David
c9bfdd87-0d0f-4a17-87ee-525c2f75ad26
Weeks, John R., Getis, Arthur, Hill, Allan G., Agyei-Mensah, Samuel and Rain, David
(2010)
Neighborhoods and fertility in Accra, Ghana: an AMOEBA-based approach.
Annals of the Association of American Geographers, 100 (3), .
(doi:10.1080/00045601003791391).
(PMID:21572914)
Abstract
Fertility 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 neighborhood 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 neighborhood concepts has the largest measurable contextual effect on an individual woman's reproductive behavior. Multilevel regression analysis suggests that vernacular neighborhoods 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.
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Published date: 19 May 2010
Organisations:
Social Statistics & Demography
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Local EPrints ID: 340000
URI: http://eprints.soton.ac.uk/id/eprint/340000
ISSN: 0004-5608
PURE UUID: cdd36e88-04f1-491d-9e62-4571acaebfe4
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Date deposited: 06 Jun 2012 14:42
Last modified: 15 Mar 2024 03:38
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Author:
John R. Weeks
Author:
Arthur Getis
Author:
Samuel Agyei-Mensah
Author:
David Rain
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