This booklet describes some recent, stand-out innovations and achievements that are the fruits of this future-oriented partnership, fully supported by the Katalyst project. As Katalyst is in its third phase of operations, some of the milestone achievements of the project are reviewed. The project expects to expand on these successful models to be implemented throughout Bangladesh.
Voices of Change brings you stories that are representative of the wide range of Katalyst’s work across Bangladesh. The project uses the market development approach, which is an indirect way of working to change the existing market systems as a means to benefit the poor people. In these stories, the beneficiaries share with you the constraints they faced as well as the solutions they found to bring about radical changes in their lives.
The ‘ICT based Customer Care Solution for Poor Farmers’ is a case study that highlights Katalyst project’s work in developing low cost ICT solutions for farmers by collaborating with various public and private sector partners. The case study specifically focuses on a missed call based agriculture helpline service that was developed in collaboration with leading agriculture input companies. The service provides agriculture information solutions to smallholder farmers for free. Till date, the service has benefitted approximately 160,000 farmers.
Canvas of Change brings you stories from Phase 3 of the Katalyst and presents the positive impact that this project is achieving.
This paper synthesizes Component 2 of the Regoverning Markets Programme. It is based on 38 empirical case studies where small-scale farmers and businesses connected successfully to dynamic markets, doing business with agri-processors and supermarkets. The studies aimed to derive models, strategies and policy principles to guide public and private sector actors in promoting greater participation of small-scale producers in dynamic markets. This publication forms part of the Regoverning Markets project.
African indigenous vegetables (AIVs) have the potential to increase food and nutritional security and contribute to improved livelihoods, but farmers’ capacity to meet the growing demand for them has been constrained by a lack of good quality seed and technical knowhow. The Good Seed Initiative (GSI), funded by Irish Aid and active in Tanzania from 2013 to 2015, targeted both seed and vegetable growers, linking them to markets through an innovation platform (IP) approach.
Linking farmers to markets is widely viewed as a milestone towards promoting economic growth and poverty reduction. However, market and institutional imperfections along the supply chain thwart perfect vertical and spatial price transmission and prevent farmers and market actors from getting access to information, identifying business opportunities and allocating their resources efficiently. This acts as a barrier to market-led rural development and poverty reduction.
The presentation was given at the ILRI Policy, Trade and Value Chains Program (May–November 2014) Seminar, ILRI Nairobi, 21 November 2014. It included the introduction of Dairy Development Forum, background and purpose, literature review, methodology, results and discussions, and conclusions.
The report introduces 30 young innovators, 21 featured with full stories, and nine other "innovators to watch". They come from countries including Barbados, Botswana, Cameroon, Côte d'Ivoire, Kenya, Nigeria, Uganda, Jamaica, Senegal, Tanzania. The publication presents a multidimensional picture of the emerging field of ICT entrepreneurship in agriculture in developing countries. It describes challenges but also successes already achieved. It contains advice for aspiring agtech entrepreneurs as well as recommendations from youth on how to support their ventures.
The objective of the study was to identify a viable trade-off between low data requirements and useful household-specific prioritizations of advisory messages. At three sites in Ethiopia, Kenya, and Tanzania independently, we collected experimental preference rankings from smallholder farmers for receiving information about different agricultural and livelihood practices. At each site, was identified socio-economic household variables that improved model-based predictions of individual farmers’ information preferences.