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.
Este documento busca obtenern un mejor conocimiento sobre los mencionados mecanismos de articulación a mercados que sirvan de insumos para un diálogo informado entre los actores públicos y privados, así como para el intercambio de aprendizajes entre los miembros del Grupo de Diálogo Andino, por lo que se ha decidido la realización de un estudio de identificación y caracterización inicial de los mismos, cuyos resultados sean presentados ante el Grupo y sirvan además como experiencias de referencia en análisis posteriores de mayor profundidad
This chapter demonstrates an experience of implementing an alternative approach, known as participatory communication with strong cultured-centered perspectives. A series of interactive extension or facilitation activities is described. The activities were aimed to conserve rare rice varieties and the unique farming practices in an indigenous community’s areas in the eastern region of Java Island.
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.
Research-based evidence on the adoption of climate-smart agricultural practices is vital to their effective uptake, continued use and wider diffusion. In addition, an enabling policy environment at the national and regional levels is necessary for this evidence to be used effectively. This chapter analyzes a 4-year period of continuous policy engagement in East Africa in an attempt to understand the role of multi-stakeholder platforms (MSPs) in facilitating an enabling policy environment for climate change adaptation and mitigation.
Innovation platforms are fast becoming part of the mantra of agricultural research and development projects and programs with an innovation objective.
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
Millions of dollars have been invested in programs to encourage the adoption of sustainable farming practices associated with conservation agriculture (CA), including programs aimed at Samoan farmers. However, many smallholder farmers, including those in Samoa did not adopt the recommended practices. CA programs aimed at Samoan farmers were investigated, and participatory action research about the most recent program was conducted.
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.