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International Food Policy Research Institute

NonprofitWashington D.C., District of Columbia, United States
About: International Food Policy Research Institute is a nonprofit organization based out in Washington D.C., District of Columbia, United States. It is known for research contribution in the topics: Agriculture & Food security. The organization has 1217 authors who have published 4952 publications receiving 218436 citations.


Papers
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01 Jan 1970
TL;DR: In this paper, the authors examined the extent to which economic growth in Mozambique has been pro-poor, using the 1996-7 and 2002-3 nationally representative household surveys.
Abstract: Using the 1996–7 and 2002–3 nationally representative household surveys, we examine the extent to which growth in Mozambique has been pro-poor. Although all segments of the income distribution experienced a rapid increase in consumption between the sample periods, the rate of growth in consumption was slightly higher for richer households. This has led to a moderate increase in inequality at the national level, as demonstrated by the rise in the Gini coefficient from 0.40 to 0.42. However, this slight increase in inequality at the national level is not statistically significant, and its impact on poverty reduction efforts is small: the poverty headcount would have been 53.0% in 2002–3 if all sections of society had enjoyed the mean growth rate in consumption, compared with the 54.1% at which it actually stood. Interestingly, static decompositions of the generalised entropy class of inequality measures indicate that inequality in real consumption between provinces and regions has diminished over time, in contrast to popular claims. Maputo City continues to have the highest rates of inequality in the country and witnessed a significant increase in inequality between 1996–7 and 2002–3 (the Gini coefficient rose from 0.44 to 0.52).

67 citations

Journal ArticleDOI
TL;DR: In this article, the ownership patterns of small ruminants in southern Benin were studied using questionnaires administered in 228 households and the results showed that younger household members (p < 0.05) especially young women (60%) are more likely to own small rammants.
Abstract: An understanding of factors influencing the decision of rural people to keep sheep and/or goats is crucial when formulating technologies and policies that support village-based small ruminant production. The knowledge of such factors will also improve assessment of impact intervention strategies on the livelihoods of rural people. Structured questionnaires administered in 228 households were used to study the ownership patterns of small ruminants in southern Benin. The ownership of goats was higher (91%) than sheep (35%) because goats are not affected by any ethnic or cultural restrictions. Goats are also perceived to be a less risky to invest into compared to sheep. Women represented 71% of the keepers of goats. Predictive models of ownership were developed using logistic regression. The results showed that younger household members (p < 0.05) especially young women (60%) are more likely to own small ruminants. Owners of small ruminants are less likely to be involved in off-farm activities and would often have no access to credit facilities. Gender, ethnicity, and perception of risk associated with species are the major factors affecting people’s choice of species. These findings highlight the financing and insurance roles that small ruminants, particularly goats, are playing in the study area. In order to develop suitable technologies and formulate policies to improve productivity and enhance livelihoods, the constraints to goat production need to be identified, and the local knowledge of the keepers should be investigated.

67 citations

Journal ArticleDOI
TL;DR: In this article, the authors used household survey data to systematically analyze the decentralized targeting performance of the program during the 2009-2010 agricultural season and found that the program is not poverty targeted and that the national government, districts, and communities are nearly uniform in their failure to target the poor, with any minimal targeting (or mis-targeting) overwhelmingly materializing at the community level.
Abstract: This paper contributes to the long-standing debate on the merits of decentralized beneficiary targeting in the administration of development programs, focusing on the large-scale Malawi Farm Input Subsidy Program. Nationally-representative household survey data are used to systematically analyze the decentralized targeting performance of the program during the 2009-2010 agricultural season. The analysis begins with a standard targeting assessment based on the rates of program participation and the benefit amounts among the eligible and non-eligible populations, and provides decompositions of the national targeting performance into the inter-district, intra-district inter-community, and intra-district intra-community components. This approach identifies the relative contributions of targeting at each level. The results show that the Farm Input Subsidy Program is not poverty targeted and that the national government, districts, and communities are nearly uniform in their failure to target the poor, with any minimal targeting (or mis-targeting) overwhelmingly materializing at the community level. The findings are robust to the choice of the eligibility indicator and the decomposition method. The multivariate analysis of household program participation reinforces these results and reveals that the relatively well-off, rather than the poor or the wealthiest, and the locally well-connected have a higher likelihood of program participation and, on average, receive a greater number of input coupons. Since a key program objective is to increase food security and income among resource-poor farmers, the lack of targeting is a concern and should underlie considerations of alternative targeting approaches that, in part or completely, rely on proxy means tests at the local level.

67 citations

Posted Content
TL;DR: In this paper, the authors investigate whether better road access could help improve their livelihood and reduce rural poverty, and they use three waves of a primary panel survey at the household level conducted in 18 remote natural villages in China to study how road access shapes farmers.
Abstract: Because many rural poor live in areas far away from markets, we investigate whether better road access could help improve their livelihood and reduce rural poverty. We use three waves of a primary panel survey at the household level conducted in 18 remote natural villages in China to study how road access shapes farmers’ agricultural production patterns and input uses and affects rural poverty. Our results show that access to roads is strongly associated with specialization in agricultural production. In natural villages with better road access, farmers plant fewer numbers of crops, purchase more fertilizer, and invest more money in labor. In combination with such factors, road connections improve household agricultural income—in particular, cash income—and contribute to poverty reduction in the surveyed villages. However, better access to rural roads does not appear to bring about significant changes in nonagricultural income.

67 citations

Journal ArticleDOI
TL;DR: In this paper, the authors compared two economic models (IMPACT and LEITAP), coupled with the integrated assessment model IMAGE, to examine different options to reduce the environmental impact of agriculture: dietary changes (less meat and dairy), increased production efficiency, and reduced food waste.

67 citations


Authors

Showing all 1269 results

NameH-indexPapersCitations
Michael B. Zimmermann8343723563
Kenneth H. Brown7935323199
Thomas Reardon7928525458
Marie T. Ruel7730022862
John Hoddinott7535721372
Mark W. Rosegrant7331522194
Agnes R. Quisumbing7231118433
Johan F.M. Swinnen7057020039
Stefan Dercon6925917696
Jikun Huang6943018496
Gregory J. Seymour6638517744
Lawrence Haddad6524324931
Rebecca J. Stoltzfus6122413711
Ravi Kanbur6149819422
Ruth Meinzen-Dick6123713707
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202321
202267
2021351
2020330
2019367
2018272