Institution
International Food Policy Research Institute
Nonprofit•Washington 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: Food security & Agriculture. The organization has 1217 authors who have published 4952 publications receiving 218436 citations.
Papers published on a yearly basis
Papers
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CGIAR1, Columbia University2, Bioversity International3, King's College London4, International Center for Tropical Agriculture5, Stanford University6, Stockholm Resilience Centre7, Washington State University8, International Water Management Institute9, International Center for Agricultural Research in the Dry Areas10, University of Twente11, International Food Policy Research Institute12
TL;DR: In this paper, the authors propose a framework to operationalize ecosystem services and resilience-based interventions in agricultural landscapes and call for renewed efforts to apply resiliencebased approaches to landscape management challenges and for refocusing ecosystem service research on human well-being outcomes.
90 citations
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TL;DR: Dietary diversity is a promising indicator for food security and was used in a cross-sectional livelihood survey that included 499 randomly selected households within five municipalities in Greater Sekhukhune, Limpopo Province, South Africa.
Abstract: This article describes dietary diversity in relation to other food security indicators used in a cross-sectional livelihood survey that included 499 randomly selected households within five municipalities in Greater Sekhukhune, Limpopo Province, South Africa. Indicators calculated using data collected by questionnaire included household dietary diversity score (DDS), living standards measure, months of food shortages and household food insecurity and access scale (HFIAS). Households with DDS ≤ 4 (n = 267) and DDS > 4 (n = 232) were compared using analysis of variance and χ²-test. Spearman correlation analysis was done for HFIAS and DDS. Compared to households with a DDS > 4, households with a DDS ≤ 4 had fewer assets, experienced more food shortages and had a higher HFIAS (16.0, 95% confidence interval (CI) 15.0-17.0 vs. 9.8, 95% CI 8.8-10.9). An inverse correlation between HFIAS and dietary diversity (r = −0.450; p < 0.01) was observed. Therefore, dietary diversity is a promising indicator for food security.
90 citations
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TL;DR: In this article, a survey experiment in Tanzania that varied two key dimensions: the level of detail of the questions and the type of respondent was conducted, and significant differences were observed across survey designs with respect to different labor statistics.
Abstract: Labor market statistics are critical for assessing and understanding economic development. In practice, widespread variation exists in how labor statistics are measured in household surveys in low-income countries. Little is known whether these differences have an effect on the labor statistics they produce. This paper analyzes these effects by implementing a survey experiment in Tanzania that varied two key dimensions: the level of detail of the questions and the type of respondent. Significant differences are observed across survey designs with respect to different labor statistics. Labor force participation rates, for example, vary by as much as 10 percentage points across the four survey assignments. Using a short labor module without screening questions on employment generates lower female labor force participation and lower rates of wage employment for both men and women. Response by proxy rather than self-report yields lower male labor force participation, lower female working hours, and lower employment in agriculture for men. The differences between proxy and self reporting seem to come from information imperfections within the household, especially with the distance in age between respondent and subject playing an important role, while gender and educational differences seem less important.
90 citations
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TL;DR: In this article, the authors explore the effects of seasonal migration on agricultural production in rural Vietnam during the 1990s using instrumental variables techniques to explore the effect of migration in agricultural production.
Abstract: When markets are incomplete migration can have multiple effects on agricultural production. I use instrumental variables techniques to explore the effects of seasonal migration on agricultural production in rural Vietnam during the 1990s. Using network variables specific to Vietnam as instruments, I find that migrant households in north Vietnam appear to move out of rice production and into the production of other crops. Inputs used by migrant households decrease relative to similar non-migrant households. The evidence is consistent with a shift from labor intensive into land-intensive crops, rather than productivity changes or the use of additional capital in production.
89 citations
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TL;DR: In this paper, a variance component methodology is developed for joint tests on a sample of time series of prices for seasonal differences in the price integration of markets, which requires a statistically adequate number of observations for each market within seasons characterized by constancy of transactions costs among markets.
Abstract: A variance components methodology is developed for joint tests on a sample of time series of prices for seasonal differences in the price integration of markets. The approach requires a statistically adequate number of observations for each market within seasons characterized by constancy of transactions costs among markets. The model is applied to eighteen months of weekly grain prices for twenty-two villages in northern Nigeria. Results suggest that markets are not well integrated in the six months covering the harvest period. Implications are drawn for research on market performance in the region.
89 citations
Authors
Showing all 1269 results
Name | H-index | Papers | Citations |
---|---|---|---|
Michael B. Zimmermann | 83 | 437 | 23563 |
Kenneth H. Brown | 79 | 353 | 23199 |
Thomas Reardon | 79 | 285 | 25458 |
Marie T. Ruel | 77 | 300 | 22862 |
John Hoddinott | 75 | 357 | 21372 |
Mark W. Rosegrant | 73 | 315 | 22194 |
Agnes R. Quisumbing | 72 | 311 | 18433 |
Johan F.M. Swinnen | 70 | 570 | 20039 |
Stefan Dercon | 69 | 259 | 17696 |
Jikun Huang | 69 | 430 | 18496 |
Gregory J. Seymour | 66 | 385 | 17744 |
Lawrence Haddad | 65 | 243 | 24931 |
Rebecca J. Stoltzfus | 61 | 224 | 13711 |
Ravi Kanbur | 61 | 498 | 19422 |
Ruth Meinzen-Dick | 61 | 237 | 13707 |