In this paper, the authors apply an innovative multisectoral diagnostic to examine the entry points for potential interventions in food systems to improve the diets in a rural population in Malawi. The paper is structured as follows: The authors begin by describing the country context and the methods necessary to diagnose and contextualize dietary problems in target populations, prioritizing nutritious foods based on their relative and potential contribution to diets.
This paper begins with a brief review of research on nutrition-sensitive value chains in developing countries. It then presents the Value Chains and Nutrition framework for intervention design that explores food supply and demand conditions across a portfolio of local value chains that are relevant for improving nutrition outcomes. The authors explore the framework in a case study on rural Malawi. Available evidence highlights the dominance of maize in diets, but also the willingness of rural households to consume other nutritious foods (e.g.
One of the very numerous decisions that smallholder farmers face world wide relates to market participation inagricultural markets and, consequently choosing the appropriate marketing channel for their agricultural produce.Such decisions impact on their incomes and subsequently on their welfare. The objective of this study was todetermine how a multi-stakeholder innovation platform approach influences pigeon pea (Cajanus Cajan L.)marketing decisions in smallholder farming in Malawi.
Understanding diversity of smallholder farm households is of critical importance for the success of development interventions. Farming households often will devise livelihood strategies that provide the best guarantee for survival and based on their socioeconomic vulnerability. This study examines how achievements from the Integrated Agricultural Research for Development (IAR4D) approach through participation in innovation platform activities accrue to smallholder farming households of diverse socioeconomic status.
In this chapter, it is applied the CGPE model to analyzing the performance of policy processes with respect to the production of efficient policy choices. Within the CGPE approach participation of stakeholder organizations is modeled in two ways. First, as classical lobbying influence and second as informational influence within a model of political belief formation.
This chapter proposes a network-based framework to analyze and evaluate participatory and evidence-based policy processes. Four network based performance indicators are derived by incorporating a network model of political belief formation into a political bargaining model of the Baron–Grossmann–Helpman type. The application of our approach to the CAADP reform in Malawi delivers the following results: (i) beyond incentive problems, i.e.
Agroforestry (AF) systems have been the focus of numerous research and development projects in southern Africa, yet their adoption rate generally remains low. Employing on-farm, participatory research techniques in southern Malawi, was compared the suitability of three AF-based systems that relay crop the dominant staple, maize (Zea mays), with the perennial legumes Sesbania sesban, Tephrosia vogelii, and Cajanus cajan (pigeonpea).
There is a broad consensus that farmers are not simply recipients of promoted techniques: rather, they are also an important source of agricultural innovations. They invent farm tools and equipment, develop new crop varieties, and add value to externally promoted technologies. When scouting, documenting and promoting such farmer-generated innovations, the thorny issue of intellectual property rights (IPRs) often emerges.
Successful cases of innovation invariably demonstrate a range of partnerships, alliances and network-like arrangements that connect together knowledge users, knowledge producers and others involved in enabling innovation in the market, policy and civil society arenas. With this comes the realisation that public agricultural research needs to strengthen links to a wider set of players from the private and civil society sectors and, of course, farmers themselves. Public agricultural extension services have traditionally played the role of linking farmers to technology.
The impact of the COVID-19 pandemic will vary for different groups of rural population, with the highest impact expected to be on farmers and other vulnerable groups, especially women and youth. Targeted support is feasible only by activating a network of actors or organizations within agricultural innovation systems (AIS) and promoting customized technologies and practices suitable for location specific contexts.