The objective of this chapter is to describe the processes and experiences of forming country project teams, partnership models and approaches to reach farmers in Zimbabwe, Zambia and Malawi. This will improve understanding of methods of setting up sustainable partnerships that exist beyond donor-funded projects
The frequency and severity of uncertain rainfall and climate extremes are projected to increase across many parts of the world. Access to rainfall forecasting information becomes an essential and critical resource that smallholder farmers should use to take advantage of good rains and avoid its adverse effects. In many smallholder farming communities, the reliability and accuracy of the scientific information is questionable and therefore not adequately used to make informed farming decisions.
This chapter aims to shed light on the broad debate surrounding when and why farmers adopt agricultural innovations, especially in the context of multi-stakeholder platforms (MSP) seeking to scale climate-smart agriculture (CSA) practices. No research has yet tested the hypothesis that farmer entrepreneurship—defined as the innovative use of agricultural resources to create opportunities for value creation—may facilitate the adoption of CSA practices. This study is intended to fill that information gap.
Agricultural innovation systems require strong linkage between research and extension organizations in particular, and among the various actors engaged in the agricultural sector in general. In the context of Ethiopia and the Amhara regional state, the agricultural research and extension system is characterized by a large number of actors in a fragmented and underdeveloped innovation system, resulting in very low national and regional innovation capacities. Farmers are generally viewed as passive recipients of technology.
The development community has shown increasing interest in the potential of innovation systems and value chain development approaches for reducing poverty and stimulating greater gender equity in rural areas. Nevertheless, there is a shortage of systematic knowledge on how such approaches have been implemented in different contexts, the main challenges in their application, and how they can be scaled to enable large numbers of poor people to benefit from participation in value chains.
Kenya has emerged as a frontrunner in information and communication technologies (ICT) in Sub-Saharan Africa. The government has been actively supporting the ICT sector as one of the key drivers of economic growth. In addition to large international firms that are setting up offices in Nairobi, such as Nokia, IBM and Google, local start-ups have also been expanding rapidly.
Smallholders in Asia and Africa are affected by increasingly complex national and global ecological and economic changes. Agricultural innovation and technology shifts are critical among these forces of change and integration with services is increasingly facilitated through innovations in institutions. Here the authors focused mainly on innovation opportunities for small farmers, with a particular emphasis on marginalized small farm communities. The chapter elaborates on the concept of the ‘small farm’ and offers a synthesis of the findings of all the chapters in this volume.
This chapter assesses the potential of farmer-to-farmer extension (F2FE) as a low-cost approach for promoting CSA. It is based on surveys of extension program managers and farmer-trainers in Cameroon, Kenya and Malawi who are involved in promoting a wide range of agricultural practices, including CSA. In the F2FE approach, extension programs provide education for farmer-trainers, who in turn educate other farmers, typically 17–37 per year. Extension program managers find this approach to be effective in boosting their ability to reach large numbers of farmers.
Here, it is described a new participatory protocol for assessing the climate-smartness of agricultural interventions in smallholder practices. This identifies farm-level indicators (and indices) for the food security and adaptation pillars of CSA. It also supports the participatory scoring of indicators, enabling baseline and future assessments of climate-smartness to be made. The protocol was tested among 72 farmers implementing a variety of CSA interventions in the climate-smart village of Lushoto, Tanzania.
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.