Replication dataset for the publication, “Information exchange links, knowledge exposure, and adoption of agricultural technologies in northern Uganda” (2017-05-01)
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Replication dataset for the publication, “Information exchange links, knowledge exposure, and adoption of agricultural technologies in northern Uganda” (2017-05-01)
In the context of a collaboration with USAID Feed the Future, the CSA programming and indicator Tool has been designed to contribute to address both, the need of good instruments for programming and better metrics for tracking outcomes and impact and to allow multiple development agencies and agr...
The purpose of this baseline survey is to gather gender-disaggregated data on agricultural activities, decision-making, weather information, risk-perception and values from rural households in the Climate Smart Village in Tuma la Dalia, Nicaragua. This intra-household survey collects information ...
The summary includes data collected from surveys conducted made in the Climate Smart Villages (CSVs) of Cauca-Colombia and El Tuma La Dalia-Nicaragua. The data includes parameters related to soils, cropping systems, land use, land-use changes and livestock in these both villages. The data was the...
This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Tuma-La-Dalia Climate Smart Village (Nicaragua) in April 2018. This monitoring framework developed by CCAFS is meant to be deployed annually across the glob...
Adoption of CSA practices and technologies, as well as access to climate information services and Their related impacts at household level (and farm level, in selected sites).
This framework proposes standard Descriptive Indicators to track changes in: 5 enabling dimensions that might affect adoption patterns, A set of 5 CORE indicators at Household level to assess perceived effects of CSA practices on Food Security, Productivity, Income and Climate vulnerability and 4...
This integrated framework is associated with a cost-effective data collection App (Geofarmer) that allowed capturing information in almost real-time. The survey questionnaire is structured around different thematic modules (Demographic, Livelihoods, Food Security, Climate events, Climate Services...
The framework responds to three main research questions: Within each CSV community, who adopts which CSA technologies and practices and what are their motivations, enabling/constraining factors? What are the gender-disaggregated perceived effects of CSA options on farmers’ livelihood (agricultura...
This dataset contains the files produced in the implementation of the “Integrated Monitoring Framework for Climate-Smart Agriculture” in the Cauca Climate Smart Village (Colombia) in February 2018. This monitoring framework developed by CCAFS is meant to be deployed annually across the global net...
adoption of CSA practices and technologies, as well as access to climate information services and their related impacts at household level (and farm level, in selected sites).
This framework proposes standard Descriptive Indicators to track changes in: 5 enabling dimensions that might affect adoption patterns, a set of 5 CORE indicators at Household level to assess perceived effects of CSA practices on Food Security, Productivity, Income and Climate vulnerability and 4...
The framework responds to three main research questions: Within each CSV community, who adopts which CSA technologies and practices and what are their motivations, enabling/constraining factors? What are the gender-disaggregated perceived effects of CSA options on farmers’ livelihood (agricultura...
This household survey was conducted among 88 respondents by CIAT in three counties of western Kenya (Bungoma, Kakamega, and Siaya) in 2016. The main aim of the project was to conduct a cost benefit analysis of eight climate-smart soil (CSS) practices, as a step toward understanding whether they w...
We present results of a randomized evaluation that assesses the effects of different incentives for diffusion of agricultural knowledge by smallholders in northern Uganda. Randomly-selected disseminating farmers (DFs) from a large sample of villages are assigned to one of three experimental arms:...
Approaches that aim to identify and prioritize locally appropriate climate smart agriculture (CSA) technologies will need to address the context-specific multi-dimensional complexity in agricultural systems. The climate smart agriculture rapid appraisal (CSA-RA) is a mixed method approach that dr...
Central American countries, particularly Guatemala, are experiencing extreme climate events which are disproportionately affecting agriculture and subsequently rural livelihoods. Governments are taking action to address climatic threats, but they need tools to assess the impact of policies and in...
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