The case studies use a framework developed jointly by Katalyst project and Springfield Centre to capture changes of market systems supported by the project. They describe developments in input markets of vegetable, farmed fish and in the maize production and how they contribute to an inclusive economic growth with benefits for small and poor farmers and for private companies in Bangladesh.
The extensive case study on ‘Improving Public Agricultural Extension Services in Bangladesh Using the M4P Approach’ illustrates Katalyst project’s experience in terms of designing interventions in the Local Government Services (LGS) sector, from testing them in small scale towards scaling-up and the accompanying challenges. The case study shows how innovative public-private partnerships create a vast impact on the lives of poor farmers in Bangladesh.
The CDAIS project, funded by the EU and jointly implemented by Agrinatura and FAO, enhances innovation in agriculture by improving the functional capacities of individuals, organizations and systems. It brings partners together and uses continuous learning cycles to address the challenges and opportunities in and around selected ‘innovation niche partnerships’ in eight pilot countries in Central America, Africa and Asia.
The CDAIS project, funded by the EU and jointly implemented by Agrinatura and FAO, enhances innovation in agriculture by improving the functional capacities of individuals, organizations and systems. It brings partners together and uses continuous learning cycles to address the challenges and opportunities in and around selected ‘innovation niche partnerships’ in eight pilot countries in Central America, Africa and Asia.
Le projet CDAIS, financé par l'UE et mis en œuvre par la FAO et Agrinatura, soutient l'innovation agricole par le développement des capacités fonctionnelles des individus et des organisations du système national d'innovation agricole. Dans huit pays pilotes en Amérique Centrale, Afrique et Asie, des démarches, des outils et des competénces sont créées pour accompagner les apprentissages nécessaires à la conduite de projets d'innovation et sont testées dans des Situations d'Innovation Localisées qui ont été sélectionnés.
The CDAIS project, funded by the EU and jointly implemented by Agrinatura and FAO, enhances innovation in agriculture by improving the functional capacities of individuals, organizations and systems. It brings partners together and uses continuous learning cycles to address the challenges and opportunities in and around selected ‘innovation niche partnerships’ in eight pilot countries in Central America, Africa and Asia.
The CDAIS project, funded by the EU and jointly implemented by Agrinatura and FAO, enhances innovation in agriculture by improving the functional capacities of individuals, organizations and systems. It brings partners together and uses continuous learning cycles to address the challenges and opportunities in and around selected ‘innovation niche partnerships’ in eight pilot countries in Central America, Africa and Asia.
The goal of both of this report is to draw lessons from Katalyst’s experience which could be used more broadly. As the private sector assumes a more significant role in the architecture of development it is important to understand more clearly what benefits companies might get from greater engagement; and also what actions work best to facilitate inclusive market approaches.
This video campaign shows how the successful Katalyst Market Development Project in Bangladesh is facilitating access to high-value products, services and local sales markets. At the heart of this campaign is a new video featuring the cricket heroine Salma Khatun.
Katalyst, one of the leading market development programs in Bangladesh, wanted to investigate the scope for growth of agro-food processing industry in Bangladesh and define the interventions that could facilitate the growth by addressing the key barriers for growth and competitiveness. The study began with identifying prospective subsectors to analyse and understand the subsector-specific and overarching constraints and opportunities.