Does a cassava research-for-development program have impact at the farm level? Evidence from the Democratic Republic of Congo

This paper evaluates the impact of a cassava research-for-development program on farm level outcomes.The program was implemented in the Democratic Republic of Congo from 2001 to 2009. We apply pro-pensity score matching, Rosenbaum bounds on treatment effects, Altonji et al. method of selection onobs...

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Main Authors: Rusike, Joseph, Mahungu, N.M., Lukombo, S., Kendenga, Toussaint, Bidiaka, S., Alene, A., Lema, A., Manyong, Victor M.
Format: Journal Article
Language:Inglés
Published: Elsevier 2014
Subjects:
Online Access:https://hdl.handle.net/10568/75916
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author Rusike, Joseph
Mahungu, N.M.
Lukombo, S.
Kendenga, Toussaint
Bidiaka, S.
Alene, A.
Lema, A.
Manyong, Victor M.
author_browse Alene, A.
Bidiaka, S.
Kendenga, Toussaint
Lema, A.
Lukombo, S.
Mahungu, N.M.
Manyong, Victor M.
Rusike, Joseph
author_facet Rusike, Joseph
Mahungu, N.M.
Lukombo, S.
Kendenga, Toussaint
Bidiaka, S.
Alene, A.
Lema, A.
Manyong, Victor M.
author_sort Rusike, Joseph
collection Repository of Agricultural Research Outputs (CGSpace)
description This paper evaluates the impact of a cassava research-for-development program on farm level outcomes.The program was implemented in the Democratic Republic of Congo from 2001 to 2009. We apply pro-pensity score matching, Rosenbaum bounds on treatment effects, Altonji et al. method of selection onobservables and unobservables and endogenous switching regression to farm survey data collected dur-ing the 2009 cropping season. We use these methods to test whether the R4D program has a statisticallysignificant effect on outcomes of interest and if these are not driven by selection on unobservables. Usingpropensity score matching, we find statistically significant positive effects on household participation incassava markets, adoption of improved varieties and crop management practices and household foodadequacy; and no statistically significant effects on yields and profits. The results show that bias dueto selection on unobservables is not severe enough to invalidate the impact estimates. Bias may stillbe a problem that is present in the analysis. But there is evidence that it is not substantial. Althoughthe program does not have a statistically significant positive effect on yields and profits, the significantprogram effects on market participation, variety adoption, and food adequacy merit further promotionof the program since these positive outcomes tend to be pre-conditions for realizing long-term yieldand profit benefits.
format Journal Article
id CGSpace75916
institution CGIAR Consortium
language Inglés
publishDate 2014
publishDateRange 2014
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publisher Elsevier
publisherStr Elsevier
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spelling CGSpace759162025-04-01T14:23:53Z Does a cassava research-for-development program have impact at the farm level? Evidence from the Democratic Republic of Congo Rusike, Joseph Mahungu, N.M. Lukombo, S. Kendenga, Toussaint Bidiaka, S. Alene, A. Lema, A. Manyong, Victor M. cassava agricultural research development republic of the congo This paper evaluates the impact of a cassava research-for-development program on farm level outcomes.The program was implemented in the Democratic Republic of Congo from 2001 to 2009. We apply pro-pensity score matching, Rosenbaum bounds on treatment effects, Altonji et al. method of selection onobservables and unobservables and endogenous switching regression to farm survey data collected dur-ing the 2009 cropping season. We use these methods to test whether the R4D program has a statisticallysignificant effect on outcomes of interest and if these are not driven by selection on unobservables. Usingpropensity score matching, we find statistically significant positive effects on household participation incassava markets, adoption of improved varieties and crop management practices and household foodadequacy; and no statistically significant effects on yields and profits. The results show that bias dueto selection on unobservables is not severe enough to invalidate the impact estimates. Bias may stillbe a problem that is present in the analysis. But there is evidence that it is not substantial. Althoughthe program does not have a statistically significant positive effect on yields and profits, the significantprogram effects on market participation, variety adoption, and food adequacy merit further promotionof the program since these positive outcomes tend to be pre-conditions for realizing long-term yieldand profit benefits. 2014-06 2016-07-04T08:15:24Z 2016-07-04T08:15:24Z Journal Article https://hdl.handle.net/10568/75916 en Limited Access Elsevier Rusike, J., Mahungu, N., Lukombo, S., Kendenga, T., Bidiaka, S., Alene, A., ... & Manyong, V.(2014). Does a cassava research-for-development program have impact at the farm level? Evidence from the Democratic Republic of Congo. Food Policy, 46, 193-204.
spellingShingle cassava
agricultural research
development
republic of the congo
Rusike, Joseph
Mahungu, N.M.
Lukombo, S.
Kendenga, Toussaint
Bidiaka, S.
Alene, A.
Lema, A.
Manyong, Victor M.
Does a cassava research-for-development program have impact at the farm level? Evidence from the Democratic Republic of Congo
title Does a cassava research-for-development program have impact at the farm level? Evidence from the Democratic Republic of Congo
title_full Does a cassava research-for-development program have impact at the farm level? Evidence from the Democratic Republic of Congo
title_fullStr Does a cassava research-for-development program have impact at the farm level? Evidence from the Democratic Republic of Congo
title_full_unstemmed Does a cassava research-for-development program have impact at the farm level? Evidence from the Democratic Republic of Congo
title_short Does a cassava research-for-development program have impact at the farm level? Evidence from the Democratic Republic of Congo
title_sort does a cassava research for development program have impact at the farm level evidence from the democratic republic of congo
topic cassava
agricultural research
development
republic of the congo
url https://hdl.handle.net/10568/75916
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