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Locally Adapted Poverty Indicators Derived from Participatory Wealth Rankings: A Case of Four Villages in Rural Tanzania

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  • Bjorn F.H. Van Campenhout

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. Copyright 2007 The author 2006. Published by Oxford University Press on behalf of the Centre for the Study of African Economies. All rights reserved. For permissions, please email: journals.permissions@oxfordjournals.org, Oxford University Press.

Suggested Citation

  • Bjorn F.H. Van Campenhout, 2007. "Locally Adapted Poverty Indicators Derived from Participatory Wealth Rankings: A Case of Four Villages in Rural Tanzania," Journal of African Economies, Centre for the Study of African Economies, vol. 16(3), pages 406-438, June.
    • Handle: RePEc:oup:jafrec:v:16:y:2007:i:3:p:406-438
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    File URL: http://hdl.handle.net/10.1093/jae/ejl041
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    Cited by:

    1. Hillebrecht, Michael & Klonner, Stefan & Pacere, Noraogo A., 2020. "Dynamic Properties of Poverty Targeting," Working Papers 0696, University of Heidelberg, Department of Economics.
    2. Schleicher, Michael & Souares, Aurélia & Pacere, Athanase Narangoro & Sauerborn, Rainer & Klonner, Stefan, 2016. "Decentralized versus Statistical Targeting of Anti-Poverty Programs: Evidence from Burkina Faso," Working Papers 0623, University of Heidelberg, Department of Economics.
    3. Els Lecoutere, 2010. "Institutions Under Construction: Resolving Resource Conflicts in Tanzanian Irrigation Schemes," Research Working Papers 23, MICROCON - A Micro Level Analysis of Violent Conflict.
    4. Eleanor K.K. Jew & Oliver J. Burdekin & Andrew J. Dougill & Susannah M. Sallu, 2019. "Rapid land use change threatens provisioning ecosystem services in miombo woodlands," Natural Resources Forum, Blackwell Publishing, vol. 43(1), pages 56-70, February.
    5. Hobbes, Marieke & De Groot, Wouter T. & Van Der Voet, Ester & Sarkhel, Sukanya, 2011. "Freely Disposable Time: A Time and Money Integrated Measure of Poverty and Freedom," World Development, Elsevier, vol. 39(12), pages 2055-2068.
    6. Ben D'Exelle & Els Lecoutere & Bjorn Van Campenhout, 2010. "Social status and bargaining when resources are scarce: Evidence from a field lab experiment," Working Paper series, University of East Anglia, Centre for Behavioural and Experimental Social Science (CBESS) 10-09, School of Economics, University of East Anglia, Norwich, UK..
    7. Laura Camfield & Gina Crivello & Martin Woodhead, 2009. "Wellbeing Research in Developing Countries: Reviewing the Role of Qualitative Methods," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 90(1), pages 5-31, January.
    8. Hillebrecht, Michael & Klonner, Stefan & Pacere, Noraogo A., 2023. "The dynamics of poverty targeting," Journal of Development Economics, Elsevier, vol. 161(C).

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