This project report from Wageningen UR (as a contribution to the CGIAR Humid Tropics research program) examines critical issues for reflection when designing and implementing research for development in innovation platforms’. The current document therefore aims to increase awareness about the complexity of research in innovation. The underlying idea is that innovation platforms can facilitate institutional changes and support system innovations through increased interaction, negotiation and learning between stakeholders, including (new) roles of research(ers).
Innovation Platforms (IPs) are seen as a promising vehicle to foster a paradigm shift in agricultural research for development (AR4D). By facilitating interaction, negotiation and collective action between farmers, researchers and other stakeholders, IPs can contribute to more integrated, systemic innovation that is essential for achieving agricultural development impacts. However, successful implementation of IPs requires institutional change within AR4D establishments.
Multi-stakeholder (MS) platforms, such as innovation platforms (IP), public-private partnerships (PPP) are becoming more common but what they can achieve in innovation and scaling is limited and depends on different factors. This poster and the broader research paper provide evidence what MS platforms can and cannot achieve in their early phases and give insights about effectiveness and efficiency of Agricultural Research for Development (AR4D) interventions such as CGIAR research programs (CRPs) in low and middle income countries.
The three system CGIAR research programs on Integrated Systems for the Humid Tropics, Dryland Systems and Aquatic Agricultural Systems have included “capacity to innovate” as an intermediate development outcome in their respective theories of change. The wording of the intermediate development outcome is “increased systems capacity to innovate and contribute to improved livelihoods of low-income agricultural communities.” This note captures the CGIAR's collective thinking about this intermediate development outcome from a systems perspective to clarify it and inspire other programs.
Rapid appraisal of agricultural innovation systems (RAAIS) is a participatory, diagnostic tool for integrated analysis of complex agricultural problems. RAAIS facilitates interaction between different groups of stakeholders in collecting and analysing data. The poster briefs what RAAIS is, when to use it, what is available and where it has been used.
Consumer concerns are leading to changes in China’s food markets and demands for higher quality food. In this article, we explore the role of farmer cooperatives in China in linking farmers with high-quality food markets. We consider food quality a social construct and farmer cooperatives key players in the ‘quality battlefield’. Using a case study approach, we investigate the everyday practices of three farmer cooperatives.
Innovation platforms are fast becoming part of the mantra of agricultural research and development projects and programs with an innovation objective.
Este folleto plantea una metodología de evaluación de impactos, y su aplicación para analizar los productos e impactos de los proyectos de investigación, validación y transferencia de tecnología que la Fundación Guanajuato Produce A.C. ha financiado durante el periodo 2005 - 2010.
El presente trabajo se realizó en el 2008 y tuvo como objetivo determinar las necesidades de investigación en la cadena de alfalfa en Hidalgo. Se utilizó el enfoque de cadenas productivas y además se realizaron las siguientes cinco etapas: i) Caracterización de la cadena, ii) Identificación de los factores críticos, iii) Identificación de las demandas de investigación, iv) Identificación de la Oferta de la investigación, e v) Identificación de las necesidades de investigación
Con el objetivo identificar los factores que inciden en la innovación y la eficiencia de las unidades de producción bovinas de doble propósito en el estado de Veracruz, se integró información de 91 ranchos que participaron en un programa de asistencia técnica, se capturó información sobre uso de 17 componentes tecnológicos y sobre producción de leche por vaca, también se integró información de factores socioeconómicos. Se aplicó un análisis de varianza para la identificación de factores.