Datasets

DATASETS

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Dataset

Migration Propensity Index Validation Survey, Honduras

2024International Food Policy Research Institute

Details

Migration Propensity Index Validation Survey, Honduras

This dataset documents migration and empowerment indicators from a two-round survey conducted in Western Honduras as part of a study validating the Migration Propensity Index (MPI). The baseline survey (May–June 2023) reached 1,209 households across six departments, using a multi-stage cluster sampling strategy prioritizing municipalities with high migration prevalence. Data included MPI questions and potential migration factors. A follow-up survey (May–June 2024) re-interviewed 1,094 households, with additional tracking efforts yielding data on migration for 1,176 households (97% of the baseline). Migration was categorized as internal (to a different department) or external (outside Honduras). The follow-up survey also collected empowerment data on a theoretically-informed subset of indicators from the Women’s Empowerment Metric for National Statistical Systems (WEMNS) from one household respondent, focusing on intrinsic, instrumental, and collective agency, as well as agency-enabling resources, aggregated into a single empowerment index.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2024. Migration Propensity Index Survey, Honduras. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/9P8GV9. Harvard Dataverse. Version 1.

Country/Region

Honduras

Keywords

Americas; Latin America and the Caribbean; Central America; Migration; Remittances; Women's Empowerment; Policies; Decision Making; Socioeconomic Aspects

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/9p8gv9 Source record

Project

Fragility, Conflict, and Migration

Record type

Dataset

Dataset

2022 Social Accounting Matrix for Colombia

2024International Food Policy Research Institute

Details

2022 Social Accounting Matrix for Colombia

The 2022 Colombia Social Accounting Matrix (SAM) follows IFPRI's Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI's website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles. Nexus SAMs support the improvement of model-based research and policy analysis in developing countries and allow for more robust cross-country comparisons of national economic structures, especially agriculture-food systems.

Year published

2024

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute; and International Center for Tropical Agriculture. 2024. 2022 Social Accounting Matrix for Colombia: A Nexus Project SAM. Data Paper. Washington, DC: International Food Policy Research Institute. handle 10568/155500 https://hdl.handle.net/10568/155500

Country/Region

Colombia

Keywords

Americas; South America; Latin America; Macroeconomic Analysis; National Accounting; Household Consumption; Household Expenditure; Taxes; Economic Indicators; Labour; Sex-disaggregated Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/va2f2e Source record

Project

Foresight

Record type

Dataset

Dataset

2019 Social Accounting Matrix for Colombia

2024International Food Policy Research Institute; Bioversity International

Details

2019 Social Accounting Matrix for Colombia

The Nexus Project is a collaboration between IFPRI and its partners, including national statistical agencies and research institutions. Our aim is to improve the quality of social accounting matrices (SAMs) used for computable general equilibrium (CGE) modeling. The Nexus Project develops toolkits and establishes common data standards, procedures, and classification systems for constructing and updating national SAMs. The 2019 Colombia SAM follows the Standard Nexus Structure. The open access version of the Colombia SAM separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital. Labor is further disaggregated across three education categories. Representative households are disaggregated by rural and urban areas and by per capita expenditure quintile. The remaining accounts include enterprises, government, taxes, savings-and-investment, and the rest of the world.

Year published

2024

Authors

International Food Policy Research Institute; Bioversity International

Citation

International Food Policy Research Institute (IFPRI); Alliance Bioversity International - CIAT, 2024. 2019 Social Accounting Matrix for Colombia. Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/3XTADK. Harvard Dataverse. Version 1.

Country/Region

Colombia

Keywords

South America; Latin America; Americas; Social Accounting Matrix; National Accounting; Household Consumption; Household Expenditure; Economic Indicators; Labour; Sex-disaggregated Data

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/3xtadk Source record

Project

Foresight

Record type

Dataset

Dataset

Replication Data for "COVID-19 and Extreme Weather: Impacts on Food Security and Migration Attitudes in the Rural Area of Guatemala"

2023International Food Policy Research Institute

Details

Replication Data for "COVID-19 and Extreme Weather: Impacts on Food Security and Migration Attitudes in the Rural Area of Guatemala"

The dataset comprises a panel of 1,612 agricultural households located across 75 communities in the departments of Huehuetenango, Quiche, and San Marcos in Guatemala that were both interviewed in person in November-December 2019, for the baseline survey, and over the phone in a follow-up survey in May-June 2020 and May-June 2021 to assess the impacts of COVID-19 on individual and social preferences. This is only subset of the data which is constructed from these three surveys and consist limited information household socioeconomic characteristics, dwelling characteristics, income, asset ownership, agricultural activities, changes in food consumption, food insecure experiences, and self-reported preferences. The full dataset is planned for release in near future after completion of few more rounds of follow-up survey.

Year published

2023

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute (IFPRI). 2023. Replication Data for "COVID-19 and Extreme Weather: Impacts on Food Security and Migration Attitudes in the Rural Area of Guatemala." Washington, DC: IFPRI [dataset]. https://doi.org/10.7910/DVN/6CRXCC. Harvard Dataverse. Version 1.

Country/Region

Guatemala

Keywords

Central America; Latin America and the Caribbean; Americas; Covid-19; Weather; Extreme Weather Events; Food Security; Migration; Rural Areas; Shock; Households

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/6crxcc Source record

Record type

Dataset

Dataset

Ecuador Potato Middlemen Survey

2019International Food Policy Research Institute

Details

Ecuador Potato Middlemen Survey

Ecuador potato middlemen survey is the study of the middlemen in the potatoes value chain in Ecuador. These data allow quantifying the extent of food loss at the middlemen level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

Year published

2019

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2019. Ecuador Potato Middlemen Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/NTDRKB. Harvard Dataverse. Version 1.

Country/Region

Ecuador

Keywords

Americas; Latin America and the Caribbean; South America; Value Chains; Potatoes; Harvesting Losses; Losses; Processing Losses; Marketing; Yield Losses; Crop Losses; Postharvest Losses

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/ntdrkb Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Guatemala Maize Middlemen Survey

2019International Food Policy Research Institute

Details

Guatemala Maize Middlemen Survey

Guatemala middlemen survey is the study of the middlemen in the maize value chain in Guatemala. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

Year published

2019

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2019. Guatemala Maize Middlemen Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/E67HQK. Harvard Dataverse. Version 1.

Country/Region

Guatemala

Keywords

Americas; Latin America and the Caribbean; Central America; Value Chains; Harvesting Losses; Losses; Maize; Processing Losses; Marketing; Yield Losses; Crop Losses; Postharvest Losses

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/e67hqk Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Honduras Maize Producer Survey

2019International Food Policy Research Institute

Details

Honduras Maize Producer Survey

Honduras maize producer survey is the study of the producers in the maize value chain in Honduras. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

Year published

2019

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2019. Honduras Maize Producer Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/U5LO31. Harvard Dataverse. Version 1.

Country/Region

Honduras

Keywords

Americas; Latin America and the Caribbean; Central America; Value Chains; Harvesting Losses; Losses; Maize; Processing Losses; Marketing; Yield Losses; Crop Losses; Postharvest Losses

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/u5lo31 Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Honduras Beans Producer Survey

2019International Food Policy Research Institute

Details

Honduras Beans Producer Survey

Honduras beans producer survey is the study of the producers in the beans value chain in Honduras. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

Year published

2019

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2019. Honduras Beans Producer Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/KCA07W. Harvard Dataverse. Version 1.

Country/Region

Honduras

Keywords

Americas; Latin America and the Caribbean; Central America; Value Chains; Harvesting Losses; Losses; Processing Losses; Marketing; Yield Losses; Beans; Crop Losses; Postharvest Losses

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/kca07w Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Peru Potato Middlemen Survey

2019International Food Policy Research Institute

Details

Peru Potato Middlemen Survey

Peru potato middlemen survey is the study of the middlemen in the potato value chain in Lima. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

Year published

2019

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2019. Peru Potato Middlemen Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/SW0GYB. Harvard Dataverse. Version 1.

Country/Region

Peru

Keywords

Americas; Latin America and the Caribbean; South America; Value Chains; Potatoes; Harvesting Losses; Losses; Marketing; Yield Losses; Crop Losses; Postharvest Losses

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/sw0gyb Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Guatemala Maize Wholesaler Survey

2019International Food Policy Research Institute

Details

Guatemala Maize Wholesaler Survey

Guatemala maize wholesaler survey is the study of the wholesalers in the maize value chain in Guatemala. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

Year published

2019

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2019. Guatemala Maize Wholesaler Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/F67UTU. Harvard Dataverse. Version 1.

Country/Region

Guatemala

Keywords

Americas; Latin America and the Caribbean; Central America; Value Chains; Harvesting Losses; Losses; Maize; Processing Losses; Marketing; Yield Losses; Wholesale Marketing; Crop Losses; Postharvest Losses

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/f67utu Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Guatemala Beans Producer Survey

2019International Food Policy Research Institute

Details

Guatemala Beans Producer Survey

Guatemala beans producer survey is the study of the producers in the beans value chain in Guatemala. These data allow quantifying the extent of food loss at the producer level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

Year published

2019

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2019. Guatemala Beans Producer Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/VFGYYM. Harvard Dataverse. Version 1.

Country/Region

Guatemala

Keywords

Americas; Latin America and the Caribbean; Central America; Value Chains; Harvesting Losses; Losses; Processing Losses; Marketing; Yield Losses; Beans; Crop Losses; Postharvest Losses

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/vfgyym Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Honduras Maize Middlemen Survey

2019International Food Policy Research Institute

Details

Honduras Maize Middlemen Survey

Honduras maize middlemen survey is the study of the middlemen in the maize value chain in Honduras. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

Year published

2019

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2019. Honduras Maize Middlemen Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/AKZUMC. Harvard Dataverse. Version 1.

Country/Region

Honduras

Keywords

Americas; Latin America and the Caribbean; Central America; Value Chains; Harvesting Losses; Losses; Maize; Processing Losses; Marketing; Yield Losses; Crop Losses; Postharvest Losses

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/akzumc Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Peru Potato Wholesaler Survey

2019International Food Policy Research Institute

Details

Peru Potato Wholesaler Survey

Peru potato wholesaler survey is the study of the wholesalers in the potato value chain in Lima. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

Year published

2019

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2019. Peru Potato Wholesaler Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/ZK7H2O. Harvard Dataverse. Version 1.

Country/Region

Peru

Keywords

Americas; Latin America and the Caribbean; South America; Value Chains; Potatoes; Harvesting Losses; Losses; Marketing; Yield Losses; Wholesale Marketing; Crop Losses; Postharvest Losses

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/zk7h2o Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Honduras Maize Wholesaler Survey

2019International Food Policy Research Institute

Details

Honduras Maize Wholesaler Survey

Honduras maize wholesaler survey is the study of the wholesalers in the maize value chain in Honduras. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

Year published

2019

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2019. Honduras Maize Wholesaler Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/QSLBJJ. Harvard Dataverse. Version 1.

Country/Region

Honduras

Keywords

Americas; Latin America and the Caribbean; Central America; Value Chains; Harvesting Losses; Losses; Maize; Processing Losses; Marketing; Yield Losses; Wholesale Marketing; Crop Losses; Postharvest Losses

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/qslbjj Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Honduras Beans Middlemen Survey

2019International Food Policy Research Institute

Details

Honduras Beans Middlemen Survey

Honduras beans middlemen survey is the study of the middlemen in the beans value chain in Honduras. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

Year published

2019

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2019. Honduras Beans Middlemen Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/HSNZLT. Harvard Dataverse. Version 1.

Country/Region

Honduras

Keywords

Americas; Latin America and the Caribbean; Central America; Value Chains; Harvesting Losses; Losses; Processing Losses; Marketing; Yield Losses; Beans; Crop Losses; Postharvest Losses

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/hsnzlt Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Guatemala Beans Middlemen Survey

2019International Food Policy Research Institute

Details

Guatemala Beans Middlemen Survey

Guatemala beans middlemen survey is the study of the middlemen in the beans value chain in Guatemala. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

Year published

2019

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2019. Guatemala Beans Middlemen Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/CTMBOK. Harvard Dataverse. Version 1.

Country/Region

Guatemala

Keywords

Americas; Latin America and the Caribbean; Central America; Value Chains; Harvesting Losses; Losses; Processing Losses; Marketing; Yield Losses; Beans; Crop Losses; Postharvest Losses

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/ctmbok Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Honduras Beans Wholesaler Survey

2019International Food Policy Research Institute

Details

Honduras Beans Wholesaler Survey

Honduras beans wholesaler survey is the study of the wholesalers in the beans value chain in Honduras. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

Year published

2019

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2019. Honduras Beans Wholesaler Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/Z6U9DA. Harvard Dataverse. Version 1.

Country/Region

Honduras

Keywords

Americas; Latin America and the Caribbean; Central America; Value Chains; Harvesting Losses; Losses; Processing Losses; Marketing; Yield Losses; Wholesale Marketing; Beans; Crop Losses; Postharvest Losses

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/z6u9da Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Ecuador Potato Wholesaler Survey

2019International Food Policy Research Institute

Details

Ecuador Potato Wholesaler Survey

Ecuador potato wholesaler survey is the study of the wholesalers in the potatoes value chain in Ecuador. These data allow quantifying the extent of food loss at the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

Year published

2019

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2019. Ecuador Potato Wholesaler Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/XVTULF. Harvard Dataverse. Version 1.

Country/Region

Ecuador

Keywords

Americas; Latin America and the Caribbean; South America; Value Chains; Potatoes; Harvesting Losses; Losses; Processing Losses; Marketing; Yield Losses; Wholesale Marketing; Crop Losses; Postharvest Losses

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/xvtulf Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Peru Potato Producer Survey

2019International Food Policy Research Institute

Details

Peru Potato Producer Survey

Peru potato producer survey is the study of the producers in the potato value chain in Lima. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

Year published

2019

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2019. Peru Potato Producer Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/BCY0TX. Harvard Dataverse. Version 1.

Country/Region

Peru

Keywords

Americas; Latin America and the Caribbean; South America; Value Chains; Potatoes; Harvesting Losses; Losses; Marketing; Yield Losses; Crop Losses; Postharvest Losses

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/bcy0tx Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Guatemala Beans Wholesaler Survey

2019International Food Policy Research Institute

Details

Guatemala Beans Wholesaler Survey

Guatemala beans wholesaler survey is the study of the wholesalers in the beans value chain in Guatemala. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

Year published

2019

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2019. Guatemala Beans Wholesaler Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/5L8JMB. Harvard Dataverse. Version 1.

Country/Region

Guatemala

Keywords

Americas; Latin America and the Caribbean; Central America; Value Chains; Harvesting Losses; Losses; Processing Losses; Marketing; Yield Losses; Wholesale Marketing; Beans; Crop Losses; Postharvest Losses

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/5l8jmb Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Ecuador Potato Producer Survey

2019International Food Policy Research Institute

Details

Ecuador Potato Producer Survey

Ecuador potato producer survey is the study of the producers in the potatoes value chain in Ecuador. These data allow quantifying the extent of food loss at the producer level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

Year published

2019

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2019. Ecuador Potato Producer Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/P0XYMN. Harvard Dataverse. Version 1.

Country/Region

Ecuador

Keywords

Americas; Latin America and the Caribbean; South America; Value Chains; Potatoes; Harvesting Losses; Losses; Processing Losses; Marketing; Yield Losses; Crop Losses; Postharvest Losses

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/p0xymn Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Guatemala Maize Producer Survey

2019International Food Policy Research Institute

Details

Guatemala Maize Producer Survey

Guatemala maize producer survey is the study of the producers in the maize value chain in Guatemala. These data allow quantifying the extent of food loss in the wholesaler level using consistent approaches that are comparable across commodities and regions. They also enable characterizing the nature of food loss, specifically the production stages and the particular processes at which loss is incurred.

Year published

2019

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2019. Guatemala Maize Producer Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/BES7ZM. Harvard Dataverse. Version 1.

Country/Region

Guatemala

Keywords

Americas; Latin America and the Caribbean; Central America; Value Chains; Harvesting Losses; Losses; Maize; Processing Losses; Marketing; Yield Losses; Crop Losses; Postharvest Losses

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/bes7zm Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Evaluation of Extension Reforms in Brazil

2018International Food Policy Research Institute; State University of Campinas; Federal University of São Carlos; Global Forum for Rural Advisory Services; Latin American Network for Rural Extension Services

Details

Evaluation of Extension Reforms in Brazil

To evaluate the impacts of the rural extension policy (PNATER), five territories were selected in three different Brazilian states, including Alto Jequitinhonha (Minas Gerais State), Cantuquiriguaçu (Paraná State), Pontal do Paranapanema (São Paulo State), São Paulo’s Southwestern (São Paulo State), and Vale do Ribeira (Paraná State). An indicator system was elaborated to collect and analyze data from farmers and extension agents in each territory. 12 indicators were proposed to accomplish the desired evaluation. These indicators express the meaningful aspects of the extension reform policy document’s values, principles, and objectives. Data collection instruments were composed of questionnaires focusing on objective questions, allowing only closed answers to identify the interviewee’s perception of his or her reality. The possibilities for responses were elaborated on a five-point Likert scale—from the least to the greatest—asking respondents to indicate how much they agree or disagree, approve or disapprove, or believe to be true or false. The questionnaire for family farmers was composed of 56 questions, encompassing different indicators, among which three were specific for black rural and indigenous communities. The researchers also added questions from the Brazilian Food Insecurity Scale. In total researchers conducted 1,000 interviews with farmers and 87 interviews with extensionists (in some territories the goal of 20 interviews with the extensionists in each territory was not achieved due to the difficulty in contacting them or their unavailability in the study period) in the five territories between August 2014 to January 2015.

Year published

2018

Authors

International Food Policy Research Institute; State University of Campinas; Federal University of São Carlos; Global Forum for Rural Advisory Services; Latin American Network for Rural Extension Services

Citation

International Food Policy Research Institute; State University of Campinas; Federal University of São Carlos; Global Forum for Rural Advisory Services; Latin American Network for Rural Extension Services. 2018. Evaluation of Extension Reforms in Brazil. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/EFUW0R. Harvard Dataverse. Version 1.

Country/Region

Brazil

Keywords

Americas; Latin America and the Caribbean; South America; Advisory Services; Extension Policies

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/efuw0r Source record

Record type

Dataset

Dataset

ASTI Bolivia Database

2016Agricultural Science and Technology Indicators

Details

ASTI Bolivia Database

This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

Year published

2016

Authors

Agricultural Science and Technology Indicators

Citation

Agricultural Science and Technology Indicators. 2016. ASTI Bolivia database. Washington, DC: International Food Policy Research Institute. https://www.asti.cgiar.org/bolivia. Harvard Dataverse. Version 1. https://www.asti.cgiar.org/bolivia

Country/Region

Bolivia

Keywords

Americas; Latin America and the Caribbean; South America; Agricultural Research

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

ASTI Peru Database

2016Agricultural Science and Technology Indicators

Details

ASTI Peru Database

This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

Year published

2016

Authors

Agricultural Science and Technology Indicators

Citation

Agricultural Science and Technology Indicators. 2016. ASTI Peru database. Washington, DC: International Food Policy Research Institute. https://www.asti.cgiar.org/peru. Harvard Dataverse. Version 1. https://www.asti.cgiar.org/peru

Country/Region

Peru

Keywords

Americas; Latin America and the Caribbean; South America; Agricultural Research

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

ASTI Venezuela Database

2016Agricultural Science and Technology Indicators

Details

ASTI Venezuela Database

This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

Year published

2016

Authors

Agricultural Science and Technology Indicators

Citation

Agricultural Science and Technology Indicators. 2016. ASTI Venezuela database. Washington, DC: International Food Policy Research Institute. https://www.asti.cgiar.org/venezuela. Harvard Dataverse. Version 1. https://www.asti.cgiar.org/venezuela

Country/Region

Venezuela

Keywords

Americas; Latin America and the Caribbean; South America; Agricultural Research

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

ASTI Uruguay Database

2016Agricultural Science and Technology Indicators

Details

ASTI Uruguay Database

This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

Year published

2016

Authors

Agricultural Science and Technology Indicators

Citation

Agricultural Science and Technology Indicators. 2016. ASTI Uruguay database. Washington, DC: International Food Policy Research Institute. https://www.asti.cgiar.org/uruguay. Harvard Dataverse. Version 1. https://www.asti.cgiar.org/uruguay

Country/Region

Uruguay

Keywords

Americas; Latin America and the Caribbean; South America; Agricultural Research

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

ASTI Ecuador Database

2016Agricultural Science and Technology Indicators

Details

ASTI Ecuador Database

This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

Year published

2016

Authors

Agricultural Science and Technology Indicators

Citation

Agricultural Science and Technology Indicators. 2016. ASTI Ecuador database. Washington, DC: International Food Policy Research Institute. https://www.asti.cgiar.org/ecuador. Harvard Dataverse. Version 1. https://www.asti.cgiar.org/ecuador

Country/Region

Ecuador

Keywords

Americas; Latin America and the Caribbean; South America; Agricultural Research

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

ASTI Panama Database

2016Agricultural Science and Technology Indicators

Details

ASTI Panama Database

This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

Year published

2016

Authors

Agricultural Science and Technology Indicators

Citation

Agricultural Science and Technology Indicators. 2016. ASTI Panama database. Washington, DC: International Food Policy Research Institute. https://www.asti.cgiar.org/panama. Harvard Dataverse. Version 1. https://www.asti.cgiar.org/panama

Country/Region

Panama

Keywords

Americas; Latin America and the Caribbean; Central America; Agricultural Research

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

ASTI Colombia Database

2016Agricultural Science and Technology Indicators

Details

ASTI Colombia Database

This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

Year published

2016

Authors

Agricultural Science and Technology Indicators

Citation

Agricultural Science and Technology Indicators. 2016. ASTI Colombia database. Washington, DC: International Food Policy Research Institute. https://www.asti.cgiar.org/colombia. Harvard Dataverse. Version 1. https://www.asti.cgiar.org/colombia

Country/Region

Colombia

Keywords

Americas; Latin America and the Caribbean; South America; Agricultural Research

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

ASTI Brazil Database

2016Agricultural Science and Technology Indicators

Details

ASTI Brazil Database

This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

Year published

2016

Authors

Agricultural Science and Technology Indicators

Citation

Agricultural Science and Technology Indicators. 2016. ASTI Brazil database. Washington, DC: International Food Policy Research Institute. https://www.asti.cgiar.org/brazil. Harvard Dataverse. Version 1. https://www.asti.cgiar.org/brazil

Country/Region

Brazil

Keywords

Americas; Latin America and the Caribbean; South America; Agricultural Research

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

ASTI Argentina Database

2016Agricultural Science and Technology Indicators

Details

ASTI Argentina Database

This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

Year published

2016

Authors

Agricultural Science and Technology Indicators

Citation

Agricultural Science and Technology Indicators. 2016. ASTI Argentina database. Washington, DC: International Food Policy Research Institute. https://www.asti.cgiar.org/argentina. Harvard Dataverse. Version 1. https://www.asti.cgiar.org/argentina

Country/Region

Argentina

Keywords

Americas; Latin America and the Caribbean; South America; Agricultural Research

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

ASTI Paraguay Database

2016Agricultural Science and Technology Indicators

Details

ASTI Paraguay Database

This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

Year published

2016

Authors

Agricultural Science and Technology Indicators

Citation

Agricultural Science and Technology Indicators. 2016. ASTI Paraguay database. Washington, DC: International Food Policy Research Institute. https://www.asti.cgiar.org/paraguay. Harvard Dataverse. Version 1. https://www.asti.cgiar.org/paraguay

Country/Region

Paraguay

Keywords

Americas; Latin America and the Caribbean; South America; Agricultural Research

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

ASTI Chile Database

2016Agricultural Science and Technology Indicators

Details

ASTI Chile Database

This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

Year published

2016

Authors

Agricultural Science and Technology Indicators

Citation

Agricultural Science and Technology Indicators. 2016. ASTI Chile database. Washington, DC: International Food Policy Research Institute. https://www.asti.cgiar.org/chile. Harvard Dataverse. Version 1. https://www.asti.cgiar.org/chile

Country/Region

Chile

Keywords

Americas; Latin America and the Caribbean; South America; Agricultural Research

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

ASTI Mexico Database

2016Agricultural Science and Technology Indicators

Details

ASTI Mexico Database

This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

Year published

2016

Authors

Agricultural Science and Technology Indicators

Citation

Agricultural Science and Technology Indicators. 2016. ASTI Mexico database. Washington, DC: International Food Policy Research Institute. https://www.asti.cgiar.org/mexico. Harvard Dataverse. Version 1. https://www.asti.cgiar.org/mexico

Country/Region

Mexico

Keywords

Americas; Latin America and the Caribbean; Central America; Agricultural Research

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

ASTI Nicaragua Database

2015Agricultural Science and Technology Indicators

Details

ASTI Nicaragua Database

This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

Year published

2015

Authors

Agricultural Science and Technology Indicators

Citation

Agricultural Science and Technology Indicators. 2015. ASTI Nicaragua database. Washington, DC: International Food Policy Research Institute. https://www.asti.cgiar.org/nicaragua. Harvard Dataverse. Version 1. https://www.asti.cgiar.org/nicaragua

Country/Region

Nicaragua

Keywords

Americas; Latin America and the Caribbean; Central America; Agricultural Research

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

ASTI Honduras Database

2015Agricultural Science and Technology Indicators

Details

ASTI Honduras Database

This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

Year published

2015

Authors

Agricultural Science and Technology Indicators

Citation

Agricultural Science and Technology Indicators. 2015. ASTI Honduras database. Washington, DC: International Food Policy Research Institute. https://www.asti.cgiar.org/honduras. Harvard Dataverse. Version 1. https://www.asti.cgiar.org/honduras

Country/Region

Honduras

Keywords

Americas; Latin America and the Caribbean; Central America; Agricultural Research

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Impact Evaluation of Cash, Food Vouchers, and Food Transfers among Colombian Refugees and Poor Ecuadorians in Carchi and Sucumbios: Endline Survey

2015International Food Policy Research Institute; Centro de Estudios de Pobalcion y Desarrollo Social; World Food Programme

Details

Impact Evaluation of Cash, Food Vouchers, and Food Transfers among Colombian Refugees and Poor Ecuadorians in Carchi and Sucumbios: Endline Survey

In April 2011, the World Food Program (WFP) expanded its assistance to address the food security and nutrition needs of Colombian refugees and to support their integration into Ecuadorian communities. The new program was designed as a prospective randomized control trial and consisted of six monthly transfers of cash, food vouchers, or food to Colombian refugees and poor Ecuadorian households. The objectives of the program were three-fold: 1) to improve food consumption by facilitating access to more nutritious foods, 2) to increase the role of women in household decision-making related to food consumption, and 3) to reduce tensions between Colombian refugees and host Ecuadorian populations. The program was implemented in seven urban centers in the provinces of Carchi and Sucumbíos. IFPRI conducted an impact evaluation targeted at estimating the relative impact and cost-effectiveness of cash, food vouchers, and food transfers on household food security indicators; as well as complimentary indicators such as household expenditure and female status.

Year published

2015

Authors

International Food Policy Research Institute; Centro de Estudios de Pobalcion y Desarrollo Social; World Food Programme

Citation

International Food Policy Research Institute; Centro de Estudios de Pobalcion y Desarrollo Social; World Food Programme. 2015. Impact Evaluation of Cash, Food Vouchers, and Food Transfers among Colombian Refugees and Poor Ecuadorians in Carchi and Sucumbios: Endline Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/AXGCHT. Harvard Dataverse. Version 1.

Country/Region

Ecuador

Keywords

Americas; Latin America and the Caribbean; South America; Refugees; Food Security; Impact Assessment

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Links

https://doi.org/10.7910/dvn/axgcht Source record

Project

Agriculture for Nutrition and Health

Record type

Dataset

Dataset

ASTI Guatemala Database

2015Agricultural Science and Technology Indicators

Details

ASTI Guatemala Database

This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

Year published

2015

Authors

Agricultural Science and Technology Indicators

Citation

Agricultural Science and Technology Indicators. 2015. ASTI Guatemala database. Washington, DC: International Food Policy Research Institute. https://www.asti.cgiar.org/guatemala. Harvard Dataverse. Version 1. https://www.asti.cgiar.org/guatemala

Country/Region

Guatemala

Keywords

Americas; Latin America and the Caribbean; Central America; Agricultural Research

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Impact Evaluation of Cash, Food Vouchers, and Food Transfers among Colombian Refugees and Poor Ecuadorians in Carchi and Sucumbios: Baseline Survey

2015International Food Policy Research Institute; Centro de Estudios de Pobalcion y Desarrollo Social; World Food Programme

Details

Impact Evaluation of Cash, Food Vouchers, and Food Transfers among Colombian Refugees and Poor Ecuadorians in Carchi and Sucumbios: Baseline Survey

In April 2011, the World Food Program (WFP) expanded its assistance to address the food security and nutrition needs of Colombian refugees and to support their integration into Ecuadorian communities. The new program was designed as a prospective randomized control trial and consisted of six monthly transfers of cash, food vouchers, or food to Colombian refugees and poor Ecuadorian households. The objectives of the program were three-fold: 1) to improve food consumption by facilitating access to more nutritious foods, 2) to increase the role of women in household decision-making related to food consumption, and 3) to reduce tensions between Colombian refugees and host Ecuadorian populations. The program was implemented in seven urban centers in the provinces of Carchi and Sucumbíos. IFPRI conducted an impact evaluation targeted at estimating the relative impact and cost-effectiveness of cash, food vouchers, and food transfers on household food security indicators; as well as complimentary indicators such as household expenditure and female status.

Year published

2015

Authors

International Food Policy Research Institute; Centro de Estudios de Pobalcion y Desarrollo Social; World Food Programme

Citation

International Food Policy Research Institute; Centro de Estudios de Pobalcion y Desarrollo Social; World Food Programme. 2015. Impact Evaluation of Cash, Food Vouchers, and Food Transfers among Colombian Refugees and Poor Ecuadorians in Carchi and Sucumbios: Baseline Survey. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/YW4WIT. Harvard Dataverse. Version 1.

Country/Region

Ecuador

Keywords

Americas; Latin America and the Caribbean; South America; Refugees; Food Security; Impact Assessment

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Links

https://doi.org/10.7910/dvn/yw4wit Source record

Project

Agriculture for Nutrition and Health

Record type

Dataset

Dataset

ASTI Dominican Republic Database

2015Agricultural Science and Technology Indicators

Details

ASTI Dominican Republic Database

This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

Year published

2015

Authors

Agricultural Science and Technology Indicators

Citation

Agricultural Science and Technology Indicators. 2015. ASTI Dominican Republic database. Washington, DC: International Food Policy Research Institute. https://www.asti.cgiar.org/dominican_republic. Harvard Dataverse. Version 1. https://www.asti.cgiar.org/dominican_republic

Country/Region

Dominican Republic

Keywords

Americas; Latin America and the Caribbean; Caribbean; Agricultural Research

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

An Agriculture-Focused, Regionally Disaggregated Social Accounting Matrix (SAM) for Mexico, 2008

2015International Food Policy Research Institute; Institute for Advanced Development Studies; Kiel Institute for the World Economy

Details

An Agriculture-Focused, Regionally Disaggregated Social Accounting Matrix (SAM) for Mexico, 2008

This data study includes highly disaggregated Social Accounting Matrix (SAM) for the Mexican economy for year 2008. The Mexico SAM was built as the main data base for the calibration of a Computable General Equilibrium (CGE) Model, used to investigate the quantitative effects of climate change on the Mexican economy, with emphasis on analyzing its distributional impacts. The Mexico SAM thus presents a significant disaggregation of agricultural activities and to income distribution across households and subnational regions.

Year published

2015

Authors

International Food Policy Research Institute; Institute for Advanced Development Studies; Kiel Institute for the World Economy

Citation

International Food Policy Research Institute; Institute for Advanced Development Studies; Kiel Institute for the World Economy. 2015. An Agriculture-Focused, Regionally Disaggregated Social Accounting Matrix (SAM) for Mexico, 2008. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/28446. Harvard Dataverse. Version 1.

Country/Region

Mexico

Keywords

Americas; Latin America and the Caribbean; Central America; National Accounting; Social Accounting Matrix

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Links

https://doi.org/10.7910/dvn/28446 Source record

Record type

Dataset

Dataset

ASTI Costa Rica Database

2015Agricultural Science and Technology Indicators

Details

ASTI Costa Rica Database

This dataset includes national-level time series data on researcher capacity by qualification level, age bracket, discipline mix, and commodity, as well as a detailed breakdown of agricultural research investment across government, higher education, nonprofit, and (where possible) private for-profit agricultural research agencies. These data were derived through a series of primary survey rounds conducted by IFPRI’s Agricultural Science and Technology Indicators (ASTI) and in close collaboration with a large network of national collaborators. The ASTI data constitute a powerful resource for national and regional research managers, policymakers, donor organizations, and other stakeholders. ASTI’s key indicators provide both a diagnostic tool for assessing the allocation and use of existing resources and an advocacy tool for increasing resources and improving the efficiency and effectiveness of resource use. The ASTI website offers interactive pages that allow users to access country-level time series data, make cross-country comparisons, create graphs, and download country datasets and publications as well as detailed institutional information on agencies involved in agricultural research. The interactive benchmarking tool on the ASTI website is a convenient map-based instrument allowing users to make cross-country comparisons and rankings based on a wide set of financial and human resource indicators. The detailed ASTI datasets are available in an easy-to-use data download tool. Detailed information on definitions, methodology, and calculation procedures are available at www.asti.cgiar.org

Year published

2015

Authors

Agricultural Science and Technology Indicators

Citation

Agricultural Science and Technology Indicators. 2015. ASTI Costa Rica database. Washington, DC: International Food Policy Research Institute. https://www.asti.cgiar.org/costa_rica. Harvard Dataverse. Version 1. https://www.asti.cgiar.org/costa_rica

Country/Region

Costa Rica

Keywords

Americas; Latin America and the Caribbean; Central America; Agricultural Research

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Project

Policies, Institutions, and Markets

Record type

Dataset

Dataset

Bolivia Social Accounting Matrix, 2012

2015International Food Policy Research Institute; Inter-American Development Bank; Institute for Advanced Development Studies; Kiel Institute for the World Economy

Details

Bolivia Social Accounting Matrix, 2012

The Bolivia Social Accounting Matrix (SAM), 2012 was built with a focus on analyzing the structure and importance of the agricultural sector and gender differences in the Bolivian economy, and understanding the linkages between agricultural production, factor income distribution, and households' incomes and expenditures. It is the most detailed, openly accessible SAM for Bolivian economy to date. The 2012 Input-Output (I-O) was the main data source used in building the disaggregated activity sector and comm odity accounts of the 2012 Bolivia SAM.

Year published

2015

Authors

International Food Policy Research Institute; Inter-American Development Bank; Institute for Advanced Development Studies; Kiel Institute for the World Economy

Citation

International Food Policy Research Institute; Inter-American Development Bank; Institute for Advanced Development Studies; Kiel Institute for the World Economy. 2015. Bolivia Social Accounting Matrix, 2012. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/29015. Harvard Dataverse. Version 1.

Country/Region

Bolivia

Keywords

Americas; Latin America and the Caribbean; South America; Gender; National Accounting; Income Distribution; National Income; Women

Language

English

Access/Licence

Open AccessCC-BY-4.0

Links

https://doi.org/10.7910/dvn/29015 Source record

Record type

Dataset

Dataset

A 2008 Social Accounting Matrix for Mexico

2012Debowicz, Dario; Golan, Jennifer

Details

A 2008 Social Accounting Matrix for Mexico

This Social Accounting Matrix (SAM) was built for the year 2008 for Mexico. It explicitly accounts for Oportunidades cash transfers. In this SAM, the government has a separate account for providing Oportunidades cash transfers to recipient households. The SAM has 14 different activities of production, 15 production factors, and 16 household groups. Using a cross-entropy technique,the SAM was balanced and made perfectly consistent with macro accounts of Mexico. This SAM was used to analyze the distributional effects of the Oportunidades conditional cash transfers in a top-down b ottom-up macro-micro simulation model that links in bi-directional and iterative way a computable general equilibrium (CGE) model and an econometrically informed micro simulation model.

Year published

2012

Authors

Debowicz, Dario; Golan, Jennifer

Citation

Debowicz, Dario; Golan, Jennifer. 2012. A 2008 Social Accounting Matrix for Mexico. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/5L6XOE. Harvard Dataverse. Version 1.

Country/Region

Mexico

Keywords

Americas; Latin America and the Caribbean; Central America; Households; Computable General Equilibrium Models; Social Accounting Matrix; Cash Transfers; Commodity Markets

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Links

https://doi.org/10.7910/dvn/5l6xoe Source record

Record type

Dataset

Dataset

Informal Seed systems and the management of gene flow in traditional agroecosystems: the case of cassava in Cauca, Colombia

2012Dyer, George; González, Carolina; Lopera, Diana Carolina

Details

Informal Seed systems and the management of gene flow in traditional agroecosystems: the case of cassava in Cauca, Colombia

Our ability to manage gene flow within traditional agroecosystems and their repercussions requires understanding the biology of crops, including farming practices" role in crop ecology. That these practices" effects on crop population genetics have not been quantified bespeaks lack of an appropriate analytical framework. We use a model that construes seed-management practices as part of a crop"s demography to describe the dynamics of cassava (Manihot esculenta Crantz) in Cauca, Colombia. We quantify several management practices for cassava the first estimates of their kind for a vegetatively-propagated crop describe their demographic repercussions, and compare them to those of maize, a sexually-reproduced grain crop. We discuss the implications for gene flow, the conservation of cassava diversity, and the biosafety of vegetatively-propagated crops in centers of diversity. Cassava populations are surprisingly open and dynamic: farmers exchange germplasm across localities, particularly improved varieties, and distribute it among neighbors at extremely high rates vis-à-vis maize. This implies that a large portion of cassava populations consists of non-local germplasm, often grown in mixed stands with local varieties. Gene flow from this germplasm into local seed banks and gene pools via pollen has been documented, but its extent remains uncertain. In sum, cassava"s biology and vegetative propagation might facilitate pre-release confinement of genetically-modified varieties, as expected, but simultaneously contribute to their diffusion across traditional agroecosystems if released. Genetically-modified cassava is unlikely to displace landraces or compromise their diversity, but rapid diffusion of improved germplasm and subsequent incorporation into cassava landraces, seed banks or wild populations could obstruct the tracking and eradication of deleterious transgenes. Attempts to regulate traditional farming practices to reduce the risks could compromise cassava populations" adaptive potential and ultimately prove ineffectual.

Year published

2012

Authors

Dyer, George; González, Carolina; Lopera, Diana Carolina

Citation

Dyer, George; González, Carolina; Lopera, Diana Carolina. 2012. Informal Seed systems and the management of gene flow in traditional agroecosystems: the case of cassava in Cauca, Colombia.

Country/Region

Colombia

Keywords

Latin America; South America; Cassava; Seed Systems; Agrobiodiversity; Dapa; Latin America and the Caribbean; Seeds; Cultivars; Plant Propagation; Manihot Esculenta; Cassava; Maize; Farming Systems; Germplasm; Landraces; Plant Cropping Systems; Field Crops

Language

English

Access/Licence

Open Access

Source

Source record

Record type

Dataset

Dataset

Women's Empowerment in Agriculture Index (WEAI) Pilot for Guatemala

2012Peterman, Amber; Quisumbing, Agnes R.; Meinzen-Dick, Ruth S.; Dardón, Monica; Hassan, Md. Zahidul; Kamusiime, Herbert; Malapit, Hazel J.

Details

Women's Empowerment in Agriculture Index (WEAI) Pilot for Guatemala

The Women’s Empowerment in Agriculture Index (WEAI) is a composite measurement tool that indicates women’s control over critical parts of their lives in the household, community, and economy. It allows us to identify women who are disempowered and understand how to increase autonomy and decisionmaking in key domains. The WEAI is also a useful tool for tracking progress toward gender equality, which is one of the Millennium Development Goals. The WEAI measures the empowerment, agency, and inclusion of women in the agriculture sector in an effort to identify ways to overcome those obstacles and constraints. The Index is a significant innovation in its field and aims to increase understanding of the connections between women’s empowerment, food security, and agricultural growth. The Guatemala pilot was conducted in the country’s Western Highlands, in the departamentos (departments) of El Quiché, Huehuetenango, Quetzaltengo, San Marcos, and Totonicapán—areas with a high concentration of indigenous populations.

Year published

2012

Authors

Peterman, Amber; Quisumbing, Agnes R.; Meinzen-Dick, Ruth S.; Dardón, Monica; Hassan, Md. Zahidul; Kamusiime, Herbert; Malapit, Hazel J.

Citation

Peterman, Amber; Quisumbing, Agnes R.; Meinzen-Dick, Ruth Suseela; Dardón, Monica; Hassan, Md. Zahidul; Kamusiime, Herbert; Malapit, Hazel J. 2012. Women’s Empowerment in Agriculture Index (WEAI) Pilot for Guatemala. Washington, DC: International Food Policy Research Institute. https://doi.org/10.7910/DVN/RC3IO4. Harvard Dataverse. Version 1.

Country/Region

Guatemala

Keywords

Americas; Latin America and the Caribbean; Central America; Women's Empowerment; Households; Agriculture; Empowerment; Women

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Links

https://doi.org/10.7910/dvn/rc3io4 Source record

Record type

Dataset

Dataset

WFP Cash, Food, and Voucher Study in Ecuador

2011International Food Policy Research Institute

Details

WFP Cash, Food, and Voucher Study in Ecuador

This study is a cluster-randomized controlled evaluation of a transfer program linked to preschool participation. The transfer program, administered by the World Food Programme, provides food or cash transfers to children aged 3-5 years enrolled in preschools at baseline. The preschools, operating in the Karamoja sub-region of Uganda, are supported by UNICEF and managed by District representatives of the Government of Uganda. The food transfers consist of multiple-micronutrient-fortified corn soy blend (CSB), oil, and sugar, totaling approximately 1200 calories per day per child and including 99% of iron requirements. Cash transfers equal the estimated value of the food basket if purchased in the market. Randomization into the food treatment, cash treatment or control was done across 98 preschools, referred to as Early Childhood Development (ECD) centers. The intervention period was from February 2011 to May 2012 and included distribution of transfers on a six-to-eight-week cycle. A longitudinal (panel) survey of households with children aged 3-5 years at baseline was conducted before exposure to the transfers and 18 months later. The randomized design of this effectiveness study and the panel nature of the data allow for a rigorous field trial in which impacts on nutrition and cognitive outcomes can be assessed and compared across modalities.We examine the impacts of the two transfer modalities, cash transfers or multiple-micronutrient-fortified food transfers, linked to preschool enrollment, on child nutrition and cognitive development. In addition, we explore potential mechanisms through intermediate impacts on food intake and participation in preschools.The key research objectives are to assess the following:Impacts on targeted groups: Assess the effects of cash or food transfers on nutrition and cognitive outcomes in children aged 3-5 years at baseline and explore pathways for these effects.Optimal program design: Assess the differential impacts of a program in which children are provided multiple-micronutrient-fortified food transfers linked to preschool enrollment compared with one in which they are given the equivalent value of cash transfers linked to preschool enrollment.

Year published

2011

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2011. WFP Cash, Food, and Voucher Study in Ecuador. : International Food Policy Research Institute. https://clinicaltrials.gov/ct2/show/record/NCT02526147. Harvard Dataverse. Version 1. https://clinicaltrials.gov/ct2/show/record/nct02526147

Country/Region

Ecuador

Keywords

Americas; Latin America and the Caribbean; South America; Social Protection; Cash Transfers

Language

English

Access/Licence

Open Access

Source

Source record

Record type

Dataset

Dataset

A 2002 National Social Accounting Matrix (SAM) for Peru and Sub-national Matrices for the Coastal and Sierra/Selva Regions

2011Nin-Pratt, Alejandro; Thurlow, James; Morley, Samuel

Details

A 2002 National Social Accounting Matrix (SAM) for Peru and Sub-national Matrices for the Coastal and Sierra/Selva Regions

What is a Social Accounting Matrix (SAM)? (PDF 125K) This is a full regional SAM for the year 2002 and was developed as an input to a regional CGE model developed to analyze regional development strategies. The country was divided into three regions, Costa, Sierra, and Selva. The regional disaggregation relied on a nine sector estimate of regional production from the Peruvian Census Bureau (INEI) regional tax and expenditure date r eported by the Peruvian Ministry of Finance and the United National Development Program. We used regional employment data to estimate sectoral production levels by region at a greater level of disaggregation than the nine sectors reported in the INEI data. The same household surveys gave us an estimate of household saving and consumption by sector and region.

Year published

2011

Authors

Nin-Pratt, Alejandro; Thurlow, James; Morley, Samuel

Citation

Nin-Pratt, Alejandro; Thurlow, James; Morley, Samuel. 2011. A 2002 national Social Accounting Matrix (SAM) for Peru and sub-national matrices for the Coastal and Sierra/Selva regions. Washington, DC: International Food Policy Research Institute. http://hdl.handle.net/1902.1/17077. Harvard Dataverse. Version 1.

Country/Region

Peru

Keywords

Americas; Latin America and the Caribbean; South America; Expenditure; Commodities; Investment; Households; Enterprises; Computable General Equilibrium Models; Government; Social Accounting Matrix

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Record type

Dataset

Dataset

Preventing Malnutrition in Children Under Two Years of Age Approach

2010Ruel, Marie T.

Details

Preventing Malnutrition in Children Under Two Years of Age Approach

A study conducted by IFPRI in Haiti provided the first programmatic evidence, using a cluster randomized evaluation design, that preventing child undernutrition in children under two years of age (PM2A) through an integrated program providing food rations, BCC and preventive health and nutrition services is both feasible and highly effective. The study's principal aim was to compare a newly designed preventive approach with the traditional (recuperative) food assisted MCHN program approach, and therefore included only two comparison groups: one group of communities that was randomly assigned to the preventive approach and another group assigned to the recuperative approach. For logistical and financial reasons, the study did not include a randomized control group receiving no intervention.

Year published

2010

Authors

Ruel, Marie T.

Citation

Ruel, Marie T. 2010. Preventing malnutrition in children under two years of age approach. : International Food Policy Research Institute. https://clinicaltrials.gov/ct2/show/record/NCT01072279. Harvard Dataverse. Version 1. https://clinicaltrials.gov/ct2/show/record/nct01072279

Country/Region

Guatemala; Burundi

Keywords

Americas; Latin America and the Caribbean; Africa; Sub-saharan Africa; Central America; Eastern Africa; Nutritional Status; Malnutrition; Nutrition; Children; Food Aid

Language

English

Access/Licence

Open Access

Source

Source record

Record type

Dataset

Dataset

Rural Development Policies and Sustainable Land Use in the Hillside Areas of Honduras Survey, 2001-2002

2006International Food Policy Research Institute

Details

Rural Development Policies and Sustainable Land Use in the Hillside Areas of Honduras Survey, 2001-2002

The survey was a research collaboration between International Food Policy Research Institute (IFPRI), Wageningen University and Research Center (WUR), and the National Program for Sustainable Rural Development (PRONADERS) of the Honduran Ministry of Agriculture and Livestock (SAG).The data were collected at three levels: farm household, parcel (distinguished by tenure status), and plot (distinguished by land use type). The survey contains a total of 376 farms, 1066 parcels, and 2143 plots. The survey collected information about household composition, education, asset ownership, labor use, sources of income, sales of crop and livestock products, participation in credit markets, membership of organizations, participation in training and extension, collective action and others at the farm level. The survey also collected information about cropping patterns, crop yields, and technology use including use of inputs at the plot level and land tenure, conservation practices, and conservation investments at the parcel level. In order to better understand the performance of the farm enterprise, the survey also collected detailed biophysical data for a sample of two plots on each farm including landscape attributes, size, type of soil parent material, erosion status, and presence of physical conservation structures. Soil samples were also taken and analyzed in a local soil laboratory resulting in data regarding pH, nutrient content, organic matter content, and soil texture. These data were mainly used for the calculation of water availability, soil fertility, and erosion risk which together served as a basis for soil suitability ratings. Finally, the survey data were supplemented by adding secondary information regarding rainfall, population density, and road density. The raw data are available in Access format and in SPSS format.

Year published

2006

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2006. Rural development policies and sustainable land use in the hillside areas of Honduras survey, 2001-2002. Washington, DC: International Food Policy Research Institute. http://hdl.handle.net/1902.1/17091. Harvard Dataverse. Version 1.

Country/Region

Honduras

Keywords

Americas; Latin America and the Caribbean; Central America; Land Management; Highlands; Surveys; Households; Crops; Sustainability; Development Policies; Land Use; Soil Analysis; Rural Development

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Record type

Dataset

Dataset

Feasibility and Effectiveness of Distributing Micronutrient Sprinkles to Reduce Prevalence of Anemia

2005International Food Policy Research Institute

Details

Feasibility and Effectiveness of Distributing Micronutrient Sprinkles to Reduce Prevalence of Anemia

The study on dairy value chains that will be conducted in Northern Senegal tests whether a health-related product (micro-fortified yogurt) targeted to children can be provided through the logistics of an existing value chain, and whether in return this can be leveraged to enhance the reliability of producers supply within this value chain. This study is conducted with a local milk factory, a recently established social enterprise, striving to produce dairy products with the milk collected from several hundred semi-nomadic small-scale producers in northern Senegal. This study tests: (i) whether the logistic created to collect milk in a remote area can be leveraged to deliver fortified yogurts to infants within its suppliers households; (ii) whether such products effectively help improve the nutritional status (anemia) of these children; and (iii) whether these health services encourage suppliers (and in particular women) to increase their milk delivery to the milk factory.

Year published

2005

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2005. Feasibility and Effectiveness of Distributing Micronutrient Sprinkles to Reduce Prevalence of Anemia. : International Food Policy Research Institute. https://clinicaltrials.gov/ct2/show/record/NCT00210405. Harvard Dataverse. Version 1. https://clinicaltrials.gov/ct2/show/record/nct00210405

Country/Region

Haiti

Keywords

Americas; Latin America and the Caribbean; Caribbean; Anaemia; Trace Elements; Infant Feeding

Language

English

Access/Licence

Open Access

Source

Source record

Record type

Dataset

Dataset

A 1998 Social Accounting Matrix (SAM) for Paraguay

2005International Food Policy Research Institute

Details

A 1998 Social Accounting Matrix (SAM) for Paraguay

The 1998 Paraguay Social Accounting Matrix (SAM) is based on the 1997-98 integrated household surveys, the matrix for intermediate demand by the Central Bank of Paraguay (CBP), the final demand matrix and total supply matrix constructed also by the CBP, tax information for the principal tax payers reported by the Ministry of Finance (MF) disaggregated in different levels, balance of payments statistics and the national accounts bulletin from the CBP. The SAM distinguishes eight sectors of activities times equal number of commodities. These sectors include (1) primary sector (agriculture, livestock, hunting, mining and fishery), (2) manufactured goods, (3) construction, (4) utilities (electricity and water and sewage), (5) transportation, storage and communications, (6) trade, restaurants and hotels, (7) financial services such us banking, insurance, real state and services provided to the firms, and (8) community, social and personal services.

Year published

2005

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2005. A 1998 Social Accounting Matrix (SAM) For Paraguay. Washington, DC: International Food Policy Research Institute. http://hdl.handle.net/1902.1/11190. Harvard Dataverse. Version 1.

Country/Region

Paraguay

Keywords

Americas; Latin America and the Caribbean; South America; Financial Institutions; Commodities; Taxes; Households; Transport; Economic Activities; Manufacturing

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Record type

Dataset

Dataset

A 2000 Social Accounting Matrix for El Salvador

2005International Food Policy Research Institute

Details

A 2000 Social Accounting Matrix for El Salvador

The 2000 Social Accounting Matrix (SAM) for El Salvador was constructed following the Central Bank Input-Output Matrix (IOM) for year 2000 and includes 45 production sectors in the economy. Factors were divided in eighteen groups: capital, land, and sixteen categories of labor. The labor force was divided into skilled and unskilled labor, both disaggregated by whether a person works in the tradables or nontradables sector, whether he/she works in an urban or rural area, and by gender. Institutions were comprised of households, the government, an enterprise account and the rest of the world. Households were divided into four categories according to degree of urbanization and educational level of the head of household: urban/rural families whose head has/has not completed at least ninth grade.

Year published

2005

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2005. A 2000 Social Accounting Matrix for El Salvador. Washington, DC: International Food Policy Research Institute. http://hdl.handle.net/1902.1/17605. Harvard Dataverse. Version 1.

Country/Region

El Salvador

Keywords

Americas; Latin America and the Caribbean; Central America; Capital; Education; Households; Urban Areas; Labour; Economic Sectors; Land; Rural Areas

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Record type

Dataset

Dataset

A 1997 Social Accounting Matrix for Colombia

2005International Food Policy Research Institute

Details

A 1997 Social Accounting Matrix for Colombia

The 1997 Social Acounting Matrix (SAM) for Colombia has an activities-commodities structure, characterized by 60 sectors and commodities; ten households; seven types of labor factors; 26 types of taxes and subsidies on production, 22 tax ranges and subsidies on products; one category for direct income taxes and another category entitled other taxes. In particular, the documentation contains a full description of the Micro SAM for Colombia explaining the procedure implemented for the dissagregation of taxes, the dissagregation of the production and commodity accounts and the dissagregation of employment.

Year published

2005

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2005. A 1997 Social Accounting Matrix for Colombia. Washington, DC: International Food Policy Research Institute. http://hdl.handle.net/1902.1/17565. Harvard Dataverse. Version 1.

Country/Region

Colombia

Keywords

Americas; Latin America and the Caribbean; South America; Commodities; Taxes; Households; Labour

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Record type

Dataset

Dataset

Argentina, Social Accounting Matrix 2000

2005International Food Policy Research Institute

Details

Argentina, Social Accounting Matrix 2000

The Argentina SAM is based, mainly, on the disaggregation of the sectors of the 1997 Argentina Input-Output Matrix (MIPA 97) built by Argentina's Statistics and Census Institute (INDEC). This 124x124 matrix constitutes the best input-output matrix built in Argentina. Since the MIPA 97 shows the transactions of the whole Argentine economy, the disaggregation process was focused on the opening of the agri-food sectors, and the aggregation of some sectors, which were of no interest for the analysis being carried on.The disaggregation and opening process had two parts. On the first place the disaggregation or opening of the MIPA 97 was made using cost structures for the year 1997. Then, once the new matrix's technical coefficients were obtained, the upgrade to the year 2000 was done.

Year published

2005

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2005. Argentina, Social Accounting Matrix 2000. Washington, DC: International Food Policy Research Institute. http://hdl.handle.net/1902.1/17601. Harvard Dataverse. Version 1.

Country/Region

Argentina

Keywords

Americas; Latin America and the Caribbean; South America; Costs; Agricultural Sector; Input Output Analysis

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Record type

Dataset

Dataset

A 1995 Social Accounting Matrix (SAM) for Uruguay

2005International Food Policy Research Institute

Details

A 1995 Social Accounting Matrix (SAM) for Uruguay

Following the second half of the 80's and all along the 90's, significant changes occurred in the Uruguayan economy, rendering previously constructed SAMs unsuitable for use in economic analysis. The task of building a new SAM was undertaken as a follow-up of the estimation of an input-output table (IOT95) at the Centro de Investigaciones Económicas (CINVE) with 1995 data. Starting from the IOT95, the SAM95 aggregated the 51 activity sectors available in the former into 21 activity sectors. The same number of commodities was considered. Value added was decomposed in two labor categories (skilled and unskilled labor), capital and indirect taxes. Private consumption was decomposed in four household categories, according to the labor characteristics of the head of the household: a) wage or salary earners, b) self-employed workers, c) employers, d) others (mainly, retired). The rest of final demand remains the same as in IOT95 (government consumption, savings-investment, stock variations and rest of the world). Rows and columns were added for different types of taxes: indirect taxes on domestic commodities, indirect taxes on imports, export taxes, tariffs, and social security contributions.

Year published

2005

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2005. A 1995 Social Accounting Matrix (SAM) For Uruguay. Washington, DC: International Food Policy Research Institute. http://hdl.handle.net/1902.1/11318. Harvard Dataverse. Version 1.

Country/Region

Uruguay

Keywords

Americas; Latin America and the Caribbean; South America; Taxes; Employment; Labour; Indirect Taxation; Input Output Analysis; Economics; Remuneration; Tariffs

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Record type

Dataset

Dataset

A 1994 Social Accounting Matrix (SAM) for Peru

2005International Food Policy Research Institute

Details

A 1994 Social Accounting Matrix (SAM) for Peru

The 1994 Social Accounting Matrix (SAM) for Peru was assembled as part of a project aimed at analyzing the distributive effects of trade liberalization in a general-equilibrium context. The SAM disaggregates the production activities, labor and households accounts, and opens up the possibility to engage in a detailed analysis of the productive structure of the economy, as well as of the income distribution channels. The accompanying documentation describes both, the macroeconomic and microeconomic SAMs, paying special attention to data sources, assumptions, and balancing procedures.

Year published

2005

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2005. A 1994 Social Accounting Matrix (SAM) for Peru. Washington, DC: International Food Policy Research Institute. http://hdl.handle.net/1902.1/11191. Harvard Dataverse. Version 1.

Country/Region

Peru

Keywords

Americas; Latin America and the Caribbean; South America; Trade Liberalization; Production; Households; Income Distribution; Labour; Computable General Equilibrium Models

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Record type

Dataset

Dataset

Nicaragua, Red de Protección Social (RPS) Evaluation Dataset, 2000-2002

2005International Food Policy Research Institute

Details

Nicaragua, Red de Protección Social (RPS) Evaluation Dataset, 2000-2002

The Nicaraguan Red de Protección Social (RPS), modeled after PROGRESA in Mexico, is a program designed to address both current and future poverty via cash transfers targeted to households living in poverty in rural Nicaragua. RPS comprised two phases over five years, starting in 2000. In order to assess whether the program merited expansion in the same or in an altered form, the Government of Nicaragua solicited various external evaluations of Phase I. The International Food Policy Research Institute (IFPRI) conducted the quantitative impact evaluation, using a randomized community-based design. The survey sample is a stratified random-sample at the comarca level from all 42 comarcas. The data originates from three phases of the survey, as well as the census and community surveys. The evaluation data are from an annual household panel data survey implemented in both intervention and control areas of RPS before the start of the program in 2000, and in 2001 and 2002 after the program began operations. The questionnaire was a comprehensive household questionnaire based on the 1998 Nicaraguan LSMS instrument, expanded in some areas (e.g., child health and education) to ensure that all the necessary program indicators were captured, but cut in other areas (e.g., income from labor and other sources) to minimize respondent burden and ensure collection of high-quality data in a single interview. An anthropometric module for children under age 5 was implemented in 2000 and 2002, but not in 2001. In this module, height (or length), weight, and hemoglobin were measured following standard international procedures.The community questionnaire was used to assess 1) whether the community has basic infrastructure, health, educational, postal services, and sources of credit; 2) other development programs present in the communities; and 3) economic events/shocks that have occurred.

Year published

2005

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2005. Nicaragua, Red de Protección Social (RPS) Evaluation Dataset, 2000-2002. Washington, DC: International Food Policy Research Institute. http://hdl.handle.net/1902.1/17535. Harvard Dataverse. Version 1.

Country/Region

Mexico; Nicaragua

Keywords

Americas; Latin America and the Caribbean; Central America; Rural Communities; Education; Economic Situation; Surveys; Health; Income Transfers; Households; Questionnaires; Social Welfare; Children; Cash Transfers; Development Programmes; Censuses; Public Services; Poverty; Quantitative Analysis

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Record type

Dataset

Dataset

Costa Rica, Social Accounting Matrix, 1997

2005International Food Policy Research Institute

Details

Costa Rica, Social Accounting Matrix, 1997

The 1997 SAM for Costa Rica takes into account the new non-traditional export sectors spurred by the export promotion policies of the past two decades. The existing SAMs for Costa Rica do not include these new sectors and the productive linkages between these and the rest of the economy. To attend this serious gap,an effort was carried out to compile a 1997 SAM for Costa Rica, the construction of which is explained in this document along the lines of a ‘top-down’ estimation procedure. The entries of the new SAM were first adjusted in a summary set of national accounts and then subsets of estimates were adjusted to the controlling aggregate totals. The elimination of data discrepancies, in particular the reconciliation of national accounts data and survey data, was successfully implemented using the Cross-Entropy (CE) method whereby a comprehensive set of constraints could be imposed using all the prior reliable information available. The macro SAM was disaggregated to arrive at a ‘raw micro SAM’. The activity account was split into the 17 production activity accounts, including but not limited to domestic, traditional and non-traditional export agriculture, food industries, textiles, wood products, oil and chemicals, paper, construction, trade, restaurants and hotels, transport and communucation, electricity, gas and water, financial services and insurance. In consistency with the activity breakdown, the flows in the commodity account were split into 17 accounts. Row-wise these flows included intermediate consumption, private and government consumption, gross fixed capital formation, inventory change,export subsidies, and exports. Column-wise the disaggregation was for sale and consumption taxes, import tariffs, export taxes and imports, using national accounts data at the commodity level.

Year published

2005

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2005. Costa Rica, Social Accounting Matrix, 1997. Washington, DC: International Food Policy Research Institute. http://hdl.handle.net/1902.1/17564. Harvard Dataverse. Version 1.

Country/Region

Costa Rica

Keywords

Americas; Latin America and the Caribbean; Central America; Production; National Accounting; Export Promotion

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Record type

Dataset

Dataset

Chile, Social Accounting Matrix, 1996

2005International Food Policy Research Institute

Details

Chile, Social Accounting Matrix, 1996

The 1996 SAM for Chile breaks down the economy into two sectors: the productive sector which is classified in 13 different activities (agriculture, wood and paper, fishing, mining (except oil), oil, extraction and refinery, manufactures, electricity, gas and water, construction, commerce, transport and communication, other services) and the institutional sectors: private non-financial sector (households, rest of the private non-financial sector), public sector (government, public non-financial firms), financial institutions (Central Bank, private banks, other financial institutions). The sources for this SAM are official studies published by the Central Bank of Chile, a non-official study, and a non-official study prepared for internal use by the Central Bank of Chile, Ministerio de Planificación y Cooperación (MIDEPLAN) and Comisión Económica para América Latina y el Caribe (CEPAL).

Year published

2005

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2005. Chile, Social Accounting Matrix, 1996. Washington, DC: International Food Policy Research Institute. http://hdl.handle.net/1902.1/17563. Harvard Dataverse. Version 1.

Country/Region

Chile

Keywords

Americas; Latin America and the Caribbean; South America; Financial Institutions; Production; Economic Systems; Households; Labour; Private Sector; Manufacturing

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Record type

Dataset

Dataset

A 1997 Social Accounting Matrix for Honduras

2005International Food Policy Research Institute

Details

A 1997 Social Accounting Matrix for Honduras

Contrary to the previous Social Accounting Matrix (SAM) for Honduras, the 1997 SAM largely disaggregates activities, labour and households. It draws from Central Bank's estimates in disaggregating an intermediate demand system for Honduras. As a result, the 1997 SAM permits a meaningful and detailed analysis of the productive structure of the economy as well as alternative trade reforms and income distribution channels. Agricultural activities are further disaggregated into traditional exports, non-traditional exports, and subsistence sectors. Similarly, manufactures are further disaggregated into multiple sectors. Key activities in the economy such as coffee, banana and sugar production or textile manufacturing are all individually accounted for. Labour is disaggregated according to skill, gender and occupation, while households are classified according to these criteria in addition to geographical location (urban vs. rural). Finally, the paper describes both the macroeconomic and microeconomic SAMs, paying special attention to a careful documentation of data sources, assumptions, and balancing methods.

Year published

2005

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2005. A 1997 Social Accounting Matrix for Honduras. Washington, DC: International Food Policy Research Institute. http://hdl.handle.net/1902.1/17607. Harvard Dataverse. Version 1.

Country/Region

Honduras

Keywords

Americas; Latin America and the Caribbean; Central America; Agricultural Sector; Bananas; Households; Urban Areas; Income Distribution; Sugar Cane; Labour; Economic Sectors; Trade; Land; Rural Areas

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Record type

Dataset

Dataset

Bolivia Social Accounting Matrix, 1996

2005International Food Policy Research Institute

Details

Bolivia Social Accounting Matrix, 1996

The 1996 Bolivia Social Accounting Matrix (SAM) permits a meaningful and detailed analysis of the productive structure of the economy as well as alternative trade reforms and income distribution channels. Agricultural activities are further disaggregated into agriculture and livestock production. Manufactures are disaggregated into multiple sectors and products in order to identify export manufacture. Labor is disaggregated according to skill, and type of occupation, while households are classified according to geographical location (urban vs. rural). Taxes are differentiated into income, sales and tariffs. Finally, the accompanying paper describes both the macroeconomic and microeconomic SAMs, paying special attention to a careful documentation of data sources, assumptions, and balancing methods.

Year published

2005

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2005. Bolivia Social Accounting Matrix, 1996. Washington, DC: International Food Policy Research Institute. http://hdl.handle.net/1902.1/17566. Harvard Dataverse. Version 1.

Country/Region

Bolivia

Keywords

Americas; Latin America and the Caribbean; South America; Taxes; Income Distribution; Labour; Agriculture; Trade Policies; Livestock; Manufacturing; Economic Structure

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Record type

Dataset

Dataset

Brazil, Social Accounting Matrix (SAM), 1995-1996: Aggregated Version

2003International Food Policy Research Institute

Details

Brazil, Social Accounting Matrix (SAM), 1995-1996: Aggregated Version

The aggregated and disaggregated Brazil Social Accounting Matrices for 1995-96 are primarily based on the 1995 Input-Output Table and National Accounts for Brazil, as well as the 1995-96 Agricultural Census. The disaggregated SAM has a total of 119 accounts. This SAM is characterized by its disaggregation of agricultural production activities by region (Amazon, Northeast, Center-west, and South and Southeast) and farm size (small and large). The aggregated version is based on the disaggregated SAM. It has a total of 71 accounts; agricultural activities and factors are not disaggregated by region. For a description of the construction and use of these SAMs, see Research Report #129, Balancing Agricultural Development and Deforestation in the Brazilian Amazon.

Year published

2003

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2003. Brazil, Social Accounting Matrix (SAM), 1995-1996 -- Aggregated Version. Washington, DC: International Food Policy Research Institute. http://hdl.handle.net/1902.1/17084. Harvard Dataverse. Version 1.

Country/Region

Brazil

Keywords

Americas; Latin America and the Caribbean; South America; Social Analysis; Agricultural Censuses

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Record type

Dataset

Dataset

Effectiveness of Targeting Food Aid to Malnourished Children Compared to Targeting All Children Under Two Years

2002Ruel, Marie T.

Details

Effectiveness of Targeting Food Aid to Malnourished Children Compared to Targeting All Children Under Two Years

The objective of this study is to compare two approaches to targeting donated supplementary food to young children. The study compares the effectiveness of the widely-used curative approach where targeting is based on the child's poor nutritional status to a preventive approach which targets children in poor communities solely on the basis of age and provides supplementary food to all children aged 6-23 months. Cost-effectiveness of the two targeting approaches will also be assessed.

Year published

2002

Authors

Ruel, Marie T.

Citation

Ruel, Marie T. 2002. Effectiveness of targeting food aid to malnourished children compared to targeting all children under two years. : International Food Policy Research Institute. https://clinicaltrials.gov/ct2/show/record/NCT00210418. Harvard Dataverse. Version 1. https://clinicaltrials.gov/ct2/show/record/nct00210418

Country/Region

Haiti

Keywords

Americas; Latin America and the Caribbean; Caribbean; Nutritional Status; Malnutrition; Nutrition; Children; Food Aid

Language

English

Access/Licence

Open Access

Source

Source record

Record type

Dataset

Dataset

Mexico, Social Accounting Matrix (SAM), 1996

2002International Food Policy Research Institute

Details

Mexico, Social Accounting Matrix (SAM), 1996

This is a regionalized SAM of Mexico, which differentiates production across five regions, four rural and a fifth "national" urban region. The rural regions are differentiated by their agricultural production technologies. There are three households in each region, disaggregated by income level, for a total of 15 households. Each rural region has 6 agricultural production activities, which are destined to national commodity markets, plus one national livestock-forestry-fisheries sector. The urban region contains 14 other production sectors. Each rural region has its own agricultural labor and its own irrigated and non-irrigated land. The urban region employs 4 labor types: professional, white collar, blue collar and unskilled/informal. One capital factor is used by all regions. For a description of the construction and use of this dataset, download the Trade and Macroeconomics Division Discussion Paper Number 97: (PDF 260K)

Year published

2002

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2002. Mexico, Social Accounting Matrix (SAM), 1996. Washington, DC: International Food Policy Research Institute. http://hdl.handle.net/1902.1/17610. Harvard Dataverse. Version 1.

Country/Region

Mexico

Keywords

Americas; Latin America and the Caribbean; Central America; Production; National Accounting; Social Analysis; Production Data; Urban Areas; Production Factors; Labour; Rural Areas

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Record type

Dataset

Dataset

Mexico, Evaluation of PROGRESA

2000International Food Policy Research Institute

Details

Mexico, Evaluation of PROGRESA

In 1997, the federal government of Mexico introduced the Programa de Educación, Salud y Alimentación (the Education, Health, and Nutrition Program), known by its Spanish acronym, PROGRESA, as part of its renewed effort to break the intergenerational transmission of poverty. Beginning early 1998, IFPRI at the request of PROGRESA conducted an evaluation of its major rural anti-poverty program. For more information about IFPRI's work with PROGRESA, see Targeted Interventions to Reduce and Prevent Poverty . The experimental design used for the evaluation of PROGRESA takes advantage of the sequential expansion of the program in order to come up with a set of localities that serve the role of controls. Specifically, the sample consists of repeated observations (panel data) collected for 24,000 households from 506 localities in the seven states of Guerrero, Hidalgo, Michoacan, Puebla, Queretaro, San Luis Potosi and Veracruz. Of the 506 localities, 320 localities were assigned to the treatment group and 186 localities were assigned as controls. The 320 treatment localities were randomly selected using probabilities proportional to size from a universe of 4,546 localities that were covered by phase II of the program in the 7 states mentioned above. Using the same method, the 186 control localities were selected from a universe of 1,850 localities in these 7 states that were to be covered by PROGRESA in later phases. In November 1997 PROGRESA conducted a survey of the socio-economic conditions of rural Mexican households (Encuesta de Caracteristicas Socioeconomicas de los Hogares or ENCASEH) in the evaluation communities to determine which households would be eligible for benefits. Then based on PROGRESA's beneficiary selection methods, households were classified as eligible and non-eligible for participation in the program in both treatment and control communities. The first evaluation survey (Encuesta Evaluation de los Hogares or ENCEL) took place in March 1998 before the initiation of benefits distribution in May 1998. In combination these two surveys provide the baseline observations available for all households before the initiation of the distribution of cash benefits in the treatment villages. The rest of the evaluation surveys were conducted after beneficiary households started receiving benefits from PROGRESA. One round of surveys took place in October/November 1998 (ENCEL98O), which was well after most households received some benefits as part of their participation in the program. The next two waves took place in June 1999 (ENCEL98M) and November 1999 (ENCEL99N). A number of core questions about the demographic composition of households and their socio-economic status were applied in each round of the survey. These core questions were accompanied by specific questionnaires, focused on collecting information critical to a thorough evaluation of the impact of the program. The topics of these modules included collecting information about family background, assets brought to marriage, schooling indicators, health status and utilization, parental attitudes and aspirations towards children's schooling, consumption of food and non-food items, the allocation of time of household members in various activities, and self-employment activities. The preceding surveys were supplemented by school and clinic surveys, community questionnaires, data on student achievement test scores, and other school and clinic administrative data. The evaluation surveys (ENCEL) collected by PROGRESA did not allow for an evaluation of the nutritional component of the program. For the purposes of evaluating the nutritional component of PROGRESA separate surveys of the same families were carried out by the National Institute of Public Health (INSP) in Cuernavaca. These surveys included collection of data on anthropometric measures (weight and height) data of children, collection of blood samples for tests for anemia and other deficiencies.

Year published

2000

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2000. Mexico, Evaluation of PROGRESA. Washington, DC: International Food Policy Research Institute. http://hdl.handle.net/1902.1/18235. Harvard Dataverse. Version 1.

Country/Region

Mexico

Keywords

Americas; Latin America and the Caribbean; Central America; Nutritional Status; Education; Rural Population; Household Surveys; Poverty Alleviation; Households; Income Transfers; Nutrition; Social Welfare; Statistical Data; Demography; Health Services; Poverty

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Record type

Dataset

Dataset

Honduras: IFAD Technical Assistance Grant, 1997-98

2000International Food Policy Research Institute

Details

Honduras: IFAD Technical Assistance Grant, 1997-98

The dataset focuses on household food and nutrition security in western Honduras. The questionnaires were administered to 4,810 individuals in 691 households from 39 communities in four rounds from March, 1997, through April, 1998. Two-thirds of the households surveyed either received or were expected to receive services from an IFAD-funded rural development project. The other one-third were matched control communities. Topics include general household and household member characteristics; employment and sources of off-farm income; access to land; on-farm production; use and post-harvest losses of farm produce; production of key crops; household assets; credit and transfers in; participation in organized groups; schooling and literacy; housing conditions; coping strategies; anthopometry of children under five years; and diet, feeding, mordibity, and hunger.

Year published

2000

Authors

International Food Policy Research Institute

Citation

International Food Policy Research Institute. 2000. Honduras: IFAD Technical Assistance Grant, 1997-98. Washington, DC: International Food Policy Research Institute. http://hdl.handle.net/1902.1/17088. Harvard Dataverse. Version 1.

Country/Region

Honduras

Keywords

Americas; Latin America and the Caribbean; Central America; Child Nutrition; Anthropometry; Household Food Security

Language

English

Access/Licence

Open AccessCC-BY-NC-3.0

Source

Source record

Record type

Dataset

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