Poverty analysis using small area estimation: an application to conservation agriculture in Uganda

This article demonstrates the utility of small area estimation of poverty (SAEp) methods for researchers wishing to conduct a detailed welfare analysis as part of a larger survey of a small geographic area. This study applies SAEp methods as part of an impact assessment of a conservation agriculture...

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Bibliographic Details
Published in:Agricultural economics 2017-11, Vol.48 (6), p.671-681
Main Authors: Farris, Jarrad, Larochelle, Catherine, Alwang, Jeffrey, Norton, George W., King, Caleb
Format: Article
Language:English
Subjects:
Agricultural conservation
Agricultural practices
Agriculture
Conservation
Conservation agriculture
Corn
Data processing
Households
I30
I32
O12
O13
O33
Poverty
Producer welfare
Profits
Rural poverty
Small‐area estimation of poverty
Soil conservation
Technical change
Uganda
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Summary:This article demonstrates the utility of small area estimation of poverty (SAEp) methods for researchers wishing to conduct a detailed welfare analysis as part of a larger survey of a small geographic area. This study applies SAEp methods as part of an impact assessment of a conservation agriculture production system in Eastern Uganda. Using SAEp, we estimate Foster–Greer–Thorbecke rural poverty indices, estimate the effects of per‐acre farm profit increases to poor households on the indices, and compare the findings to estimates of net returns from a field‐level evaluation of conservation agriculture for maize farmers. Results suggest that increasing the farm profits of the bottom 30% of households by $1.60 per‐acre per‐season would reduce rural poverty incidence by 1 percentage point. Available data on the net returns to conservation agriculture indicate that even these modest increases are achievable for few adopting households.
ISSN:0169-5150
1574-0862
DOI:10.1111/agec.12365