Charcoal production and household welfare in Uganda: a quantile regression approach

Previous research suggests that forest-dependent households tend to be poorer than other groups, and that extreme reliance on forest resources might constitute a poverty trap. We provide an example in which a non-timber forest product – charcoal – appears to be providing a pathway out of poverty for...

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Autores principales: Ainembabazi, John H., Shively, G.E., Angelsen, A.
Formato: Journal Article
Lenguaje:Inglés
Publicado: Cambridge University Press 2013
Materias:
Acceso en línea:https://hdl.handle.net/10568/76443
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author Ainembabazi, John H.
Shively, G.E.
Angelsen, A.
author_browse Ainembabazi, John H.
Angelsen, A.
Shively, G.E.
author_facet Ainembabazi, John H.
Shively, G.E.
Angelsen, A.
author_sort Ainembabazi, John H.
collection Repository of Agricultural Research Outputs (CGSpace)
description Previous research suggests that forest-dependent households tend to be poorer than other groups, and that extreme reliance on forest resources might constitute a poverty trap. We provide an example in which a non-timber forest product – charcoal – appears to be providing a pathway out of poverty for some rural households in Uganda. Data come from households living adjacent to natural forests, some of whom engage in charcoal production. We use a semi-parametric method to identify the determinants of participation in charcoal production and a quantile regression decomposition to measure the heterogeneous effect of participation on household income. We find that younger households and those with few productive assets are more likely to engage in charcoal production. We also show that, as a result of their participation, charcoal producers are better off than non-charcoal producers in terms of income, even though they are worse off in terms of productive assets.
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spelling CGSpace764432024-11-15T08:52:14Z Charcoal production and household welfare in Uganda: a quantile regression approach Ainembabazi, John H. Shively, G.E. Angelsen, A. charcoal households forest poverty development Previous research suggests that forest-dependent households tend to be poorer than other groups, and that extreme reliance on forest resources might constitute a poverty trap. We provide an example in which a non-timber forest product – charcoal – appears to be providing a pathway out of poverty for some rural households in Uganda. Data come from households living adjacent to natural forests, some of whom engage in charcoal production. We use a semi-parametric method to identify the determinants of participation in charcoal production and a quantile regression decomposition to measure the heterogeneous effect of participation on household income. We find that younger households and those with few productive assets are more likely to engage in charcoal production. We also show that, as a result of their participation, charcoal producers are better off than non-charcoal producers in terms of income, even though they are worse off in terms of productive assets. 2013-10 2016-08-12T06:27:48Z 2016-08-12T06:27:48Z Journal Article https://hdl.handle.net/10568/76443 en Limited Access Cambridge University Press Ainembabazi, J.H., Shively, G. & Angelsen, A. (2013). Charcoal production and household welfare in Uganda: a quantile regression approach. Environment and Development Economics, 18(05), 537-558.
spellingShingle charcoal
households
forest
poverty
development
Ainembabazi, John H.
Shively, G.E.
Angelsen, A.
Charcoal production and household welfare in Uganda: a quantile regression approach
title Charcoal production and household welfare in Uganda: a quantile regression approach
title_full Charcoal production and household welfare in Uganda: a quantile regression approach
title_fullStr Charcoal production and household welfare in Uganda: a quantile regression approach
title_full_unstemmed Charcoal production and household welfare in Uganda: a quantile regression approach
title_short Charcoal production and household welfare in Uganda: a quantile regression approach
title_sort charcoal production and household welfare in uganda a quantile regression approach
topic charcoal
households
forest
poverty
development
url https://hdl.handle.net/10568/76443
work_keys_str_mv AT ainembabazijohnh charcoalproductionandhouseholdwelfareinugandaaquantileregressionapproach
AT shivelyge charcoalproductionandhouseholdwelfareinugandaaquantileregressionapproach
AT angelsena charcoalproductionandhouseholdwelfareinugandaaquantileregressionapproach