HarvestChoice generates knowledge products to help guide strategic decisions to improve the well-being of the poor in sub-Saharan Africa through more productive and profitable farming. To this end, HarvestChoice has developed and continues to expand upon a spatially explicit, landscape level evaluation framework. HarvestChoice’s evolving list of knowledge products includes maps, datasets, working papers, country briefs, user-oriented tools, and spatial and economic models designed to target the needs of investors, policymakers, and research analysts who are working to improve the food supply of the world's poor http://harvestchoice.org.
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11 to 20 of 25 Results
Feb 21, 2017
HarvestChoice, International Food Policy Research Institute; International Center for Tropical Agriculture, 2017, "CGIAR Scientometrics Data for 2000-2016", https://doi.org/10.7910/DVN/ZV1JCQ, Harvard Dataverse, V3
This data files includes full metadata records of 12,131 SCI-indexed journal articles authored by CGIAR scientists published between January 2000 to November 2016, retrieved from Web of Science by Thomson Reuters. With this data, co-authorships of research outputs published by CGIAR scientists were analyzed to examine whether CGIAR’s scientific and...
Feb 8, 2017
HarvestChoice, International Food Policy Research Institute; Association for Strengthening Agricultural Research in Eastern and Central Africa, 2017, "Spatial Data for Development Domain Analysis in East and Central Africa", https://doi.org/10.7910/DVN/FB6ZHC, Harvard Dataverse, V1
GIS dataset for constructing three-dimensional Development Domain for ASARECA's operation area in 12 East and Central Africa countries. Data layers of market accessibility, agricultural potential, and population density of 2010 at 5 arc-minute resolution were compiled from HarvestChoice.
Jan 11, 2017
HarvestChoice, International Food Policy Research Institute, 2017, "Harmonized Male/Female and Urban/Rural Subnational Expenditure, Poverty, and Inequality Indicators at 2011 PPP $1.90/day and $3.10/day for Africa South of the Sahara", https://doi.org/10.7910/DVN/FSMCTQ, Harvard Dataverse, V1
Subnational poverty headcount ratios were derived from 66 nationally representative household surveys and population census information conducted in various years around 2008 for 26 countries. Our poverty calculations are based on the comparison between the household per-capita consumption expenditure (a synthetic indicator expressing the money-met...
Feb 27, 2016
HarvestChoice, International Food Policy Research Institute (IFPRI), 2016, "Replication Data for: Malnutrition and Climate Patterns in the Arid and Semi-arid Lowlands of Kenya: a Resilience Analysis Based on a Pseudo-panel Dataset", https://doi.org/10.7910/DVN/FEAEJ3, Harvard Dataverse, V2, UNF:6:rFgUp/0SJszfJxE/JFkHjA== [fileUNF]
Resilience of food security in the arid and semi-arid lowlands (ASAL) in Kenya, were assessed using repeated cross-sectional data (collected in 1993, 1998, 2003, and 2008). We measure short- and long-term food security in response to changing agro-climatic conditions, using indicators of child and woman nutritional status. Since measurements over t...
Feb 27, 2016
HarvestChoice, International Food Policy Research Institute (IFPRI), 2017, "Replication Data for: Subnational Socio-economic Dataset Availability", https://doi.org/10.7910/DVN/TAFTIL, Harvard Dataverse, V2, UNF:6:fy9TksWSxF3XsMonyKsvXA== [fileUNF]
This is a replication data used in the analysis for the correspondence article published at Nature Climate Change: "Subnational socio-economic dataset availability" doi:10.1038/nclimate2842.
Feb 17, 2016
HarvestChoice; International Food Policy Research Institute (IFPRI), 2017, "Sub-national Poverty Statistics in the CGIAR CRP II Priority Countries", https://doi.org/10.7910/DVN/SEPATX, Harvard Dataverse, V2, UNF:6:bxi+f2vGtKpqD0CzB/eotg== [fileUNF]
This dataset contains estimates of the poor and extreme poor rural population within each region (administrative level 1) of the CRPs countries. The poverty lines are defined using the thresholds of 3.10$/day and 1.90$/day respectively, expressed in 2011 PPP $. With the exception of India, all the other estimates are based on authors’ calculations...
Feb 8, 2016
HarvestChoice; International Food Policy Research Institute (IFPRI), 2017, "Five-Year Yield Growth Rates of Major Crops in the CGIAR CRP II Priority Countries", https://doi.org/10.7910/DVN/TS3XYZ, Harvard Dataverse, V2
Yield growth rate (%) of major crop commodities in CGIAR CRP II priority countries were computed using the FAOSTAT-retrieved national crop production statistics data for five most recent years (2009-2013 in most countries; where available, 2014 data was also included).
Feb 2, 2016
HarvestChoice, International Food Policy Research Institute (IFPRI); University of California, Davis (UC Davis), 2017, "HCID: Global Grid Cell Identification System at Multiple Spatial Resolutions", https://doi.org/10.7910/DVN/MZLXVQ, Harvard Dataverse, V1
HCID is a global grid identification system offering users to refer the location and boundary of a grid cell, available at multiple spatial resolutions, using a single integer number. Instead of using the coordinates (latitude and longitude) of two corners of the grid cell bounding box (i.e., upper-left and lower-right), we assign each grid cell wi...
Jan 29, 2016
HarvestChoice; International Food Policy Research Institute (IFPRI), 2018, "Travel Time to Markets in Africa South of the Sahara", https://doi.org/10.7910/DVN/YKDWJD, Harvard Dataverse, V2
Reliable market accessibility data is critical to develop agricultural policies and investment plans for ensuring smallholder farmers’ market participation and their profitable farming, yet this data is less frequently updated. Most of publicly available data benchmarks around the year 2000, not reflecting rapid development of transportation infras...
Jan 28, 2016
HarvestChoice; International Food Policy Research Institute (IFPRI), 2016, "Rapid Yield Gap Assessment: African Development Bank's Priority Commodities", https://doi.org/10.7910/DVN/U03ZET, Harvard Dataverse, V1
Yield gap of nine priority commodities of the African Development Bank was assessed and aggregated at two levels across the Africa continent: 1) agro-ecological zones and 2) agro-ecological zones by country. In this rapid assessment, the yield gap was defined as the percentage difference between the actual yield estimated from spatially-disaggregat...
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