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Locally adapted poverty indicators derived from participatory wealth rankings : A case of four villages in rural Tanzania created by Bjorn F.H. Van Campenhout

By: Material type: TextTextSeries: Journal of African Economies ; Volume 16, number 3Oxford: Oxford University Press, 2007Content type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISSN:
  • 09638024
Subject(s): LOC classification:
  • HC800 JOU
Online resources: Abstract: Poverty indicators are generally identified on the basis of household consumption expenditure data drawn from nationally representative household budget surveys. In this study, we explore the potential role for more qualitative methods in generating poverty indicators and profiles that incorporate local perspectives on poverty. More specifically, on the basis of participatory wealth rankings, we identify covariates that could serve as poverty indicators. Furthermore, we check the performance of these indicators when using a more conventional indicator or well-being. To do so, we conducted participatory wealth rankings in four villages in the Southern Highlands of Tanzania. Then, we administered a small questionnaire-based survey to the ranked households to probe for possible poverty indicators that can broadly be classified under four categories, namely household characteristics, human capital, housing and durables, productive assets. We find that most of the routinely used poverty indicators remain valid, but for some, we also find interesting differences.
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Item type Current library Call number Vol info Copy number Status Notes Date due Barcode
Journal Article Journal Article Main Library - Special Collections HC800 JOU (Browse shelf(Opens below)) Vol. 16, no. 3 (pages 406-438) SP1223 Not for loan For In house Use

Poverty indicators are generally identified on the basis of household consumption expenditure data drawn from nationally representative household budget surveys. In this study, we explore the potential role for more qualitative methods in generating poverty indicators and profiles that incorporate local perspectives on poverty. More specifically, on the basis of participatory wealth rankings, we identify covariates that could serve as poverty indicators. Furthermore, we check the performance of these indicators when using a more conventional indicator or well-being. To do so, we conducted participatory wealth rankings in four villages in the Southern Highlands of Tanzania. Then, we administered a small questionnaire-based survey to the ranked households to probe for possible poverty indicators that can broadly be classified under four categories, namely household characteristics, human capital, housing and durables, productive assets. We find that most of the routinely used poverty indicators remain valid, but for some, we also find interesting differences.

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