The capacity scoring questionnaire is an instrument that can be used when assessing the systems capacities of innovation partnerships or organizations in order to identify strengths and weaknesses and monitor change over time. It thus supports the design and implementation of successful capacity development interventions for agricultural innovation. This questionnaire has been developed in two versions (Version 1 and Version 2) and has been piloted in several countries in the context of the Capacity Development for Agricultural Innovation Systems (CDAIS).
The capacity scoring questionnaire is an instrument that can be used when assessing the systems capacities of innovation partnerships or organizations in order to identify strengths and weaknesses and monitor change over time. It thus supports the design and implementation of successful capacity development interventions for agricultural innovation. This questionnaire has been developed in two versions (Version 1 and Version 2) and has been piloted in several countries in the context of the Capacity Development for Agricultural Innovation Systems (CDAIS).
The Excel workbook contains some preconfigured spreadsheets that can be used for entering data collected through the capacity scoring questionnaire (Version 1 and Version 2), which has been developed in the context of the the CDAIS project, and to perform some basic analysis as well as visualize the data.
In an effort to raise incomes and increase resilience of smallholder farmers and their families in Feed the Future1 (FTF) countries, the United States Agency for International Development (USAID) funded the Developing Local Extension Capacity (DLEC) project. This project is led by Digital Green in partnership with the International Food Policy Research Institute (IFPRI), CARE International (CARE) and multiple resource partners.
With the rapid pace of climate change and its impact on food security and livelihoods, climate-smart agriculture is one strategy aiming to help farmers adopt more sustainable farming practices. This study looked at farmers’ adoption of agricultural innovations and the role of social networks in the process.
The Development Marketplace 2009 focused on adaptation to climate change. This paper identifies lessons from the Marketplace and assesses their implications for adaptation support. The findings are based on: statistical tabulation of all proposals; in-depth qualitative and quantitative analysis of the 346 semi-finalists; and interviews with finalists and assessors. Proposals were fuelled by deep concerns that ongoing climate change and its impacts undermine development and exacerbate poverty, migration and food insecurity.
This study assessed intermediate results of an investment intended to support climate change adaptation and resilience-building among farmers’ cooperatives in Rwanda. The assessment was based on a purposive sampling survey of farmers’ perspectives conducted in sites in 10 programme intervention districts of the country’s 30 districts.
Agricultural innovation systems are complex, multi-layered, and can be difficult to define and analyse. In this paper, we provide examples of ‘systems analysis’: describing the context, what was done, and how the outcomes informed broader research and development activities. The five cases describe analyses of: i) agricultural systems in North-West Vietnam; ii) household food security in Central Vietnam; iii) agricultural innovation systems in Central Africa; iv) wheat commodity systems in Sub-Saharan Africa, and v) the national agricultural research system in Papua New Guinea.
El objetivo de esta guía es proponer una metodología para la “evaluación de la sostenibilidad de los sistemas de producción de la agricultura familiar”, a través de “indicadores de sostenibilidad”. Con ellos se busca detectar “puntos críticos” en los sistemas de producción que limitan su sostenibilidad, de forma tal que se pueda iniciar un proceso de elaboración de “estrategias de gestión sostenible” enfocado al fortalecimiento de la agricultura familiar y al desarrollo de los territorios rurales en los que se desenvuelven.
El objetivo de este estudio fue analizar el proceso de gestión de conocimiento e innovación de la cadena ovinos en Villa Victoria, Estado de México. Mediante diagnóstico participativo y análisis de redes se analizó información de 63 productores para identificar la problemática e innovaciones implementadas y proponer estrategias de desarrollo de capacidades para incrementar el uso de tecnologías.