The Guidance Note on Operationalization provides a brief recap of the conceptual underpinnings and principles of the TAP Common Framework as well as a more detailed guide to operationalization of the proposed dual pathways approach. It offers also a strategy for monitoring and evaluation as well as a toolbox of select tools that may be useful at the different stages of the CD for AIS cycle.
This concept note has been developed within the context of the EU-funded CDAIS project, which is jointly implemented by AGRINATURA-EEIG and the Food and Agriculture Organization of the United Nations (FAO) to support the TAP Action Plan in eight pilot countries in Africa (Angola, Burkina Faso, Ethiopia, Rwanda), Asia (Bangladesh, Laos) and Central America (Guatemala, Honduras) .
La «Note d'Orientation sur l'Opérationnalisation» récapitule brièvement les fondements conceptuels et les principes du Cadre commun de travail pour le renforcement des capacités des systèmes d'innovation agricole et fournit également un guide détaillé de l'opérationnalisation de l'approche à Double Entrée du renforcement des capacités (RC) pour les systèmes d'innovation agricole (SIA). Le document offre aussi une stratégie de suivi et d'évaluation ainsi qu'une Boîte à Outils d'outils sélectionnés qui peuvent être utiles aux différentes étapes du RC pour les SIA.
La Guía Operativa provee una breve recapitulación de los fundamentos conceptuales y principios del Marco Común de la TAP así como una guía más detallada para la operacionalización del enfoque de rutas de doble vía del Desarrollo de Capacidades (DC) para los Sistemas de Innovación Agrícola (SIA). También ofrece una estrategia para el monitoreo y evaluación, así como una caja de herramientas que pueden ser útiles en las diferentes etapas del ciclo de DC para los SIA.
The Synthesis Document, here in its Hindi version, provides a synthesis of concepts and principles of the Common Framework developed under the Tropical Agriculture Platform (TAP). The objective of the TAP Common Framework is to promote better coherence and greater impact of capacity development in support of agricultural innovation in the Tropics. Developed in 2015 through a highly participatory process, it was agreed that the Framework should provide conceptual underpinnings and practical guidance.
This paper takes the viewpoint of a social scientist and looks at agricultural scientists' pathways for science impact. Awareness of these pathways is increasingly becoming part and parcel of the professionalism of the agricultural scientist, now that the pressure is on to mobilize smallholders and their productive resources for (global) food security and for reducing persistent rural poverty. Significant new thinking about pathways is emerging and it is useful to present some of this, even if it is not cut-and-dried.
This paper (Part I) present a case study of work conducted by the International Centre for Tropical Agriculture (CIAT) to adapt network mapping techniques to a rural and developing country context. It reports on work in Colombia to develop a prototype network diagnosis tool for use by service providers who work to strengthen small rural groups. It is complemented by a further paper in this issue by Louise Clark (Part II) which presents work to develop a network diagnosis tool for stakeholders involved in agricultural supply chains in Bolivia.
Sustainable agricultural intensification requires the use of multiple agricultural technologies in an integrated manner to enhance productivity while conserving the natural resource base. This study analyses the adoption and impacts of sustainable intensification practices (SIPs) using a dataset from Ghana. A multivariate probit (MVP) model was estimated to assess the adoption of multiple SIPs. Moreover, we used a multivalued semi-parametric treatment effect (MVTE) model to estimate the effects of adopting multiple SIPs on maize productivity.
Sustainable intensification of agriculture will have to build on various innovations, but synergies between different types of technologies are not yet sufficiently understood. We use representative data from small farms in Kenya and propensity score matching to compare effects of input-intensive technologies and natural resource management practices on household income. When adopted in combination, positive income effects tend to be larger than when individual technologies are adopted alone.
Since development agencies often implement interventions through collective-action groups such as farmer cooperatives and self-help groups, there is a need to understand how participation is affected by group-level and leader attributes. This study collected gender-disaggregated, quantitative and qualitative data on sixty-eight self-help groups in Zambia to understand the participation of men and women farmers in different crop-production activities. Results show that participation rates of men and women are the same across all maize production activities except harvesting.