Les systèmes semenciers paysans nourrissent le monde et font preuve de résilience face aux catastrophes naturelles. Cependant, ils sont menacés par l’emprise croissante des entreprises sur la nature et par l’accélération de la destruction de la biodiversité agricole. De plus en plus, les sociétés des semences et de l’agrochimie cherchent à privatiser, monopoliser et contrôler les semences en déposant des brevets et en encourageant la marchandisation de la source même de la vie.
Natural hazards have become more frequent and intense in the last few decades, increasing the often significant negative impacts on the gross domestic product of countries in southern Africa and undermining development efforts. Forecasts are negative as a result of climate change, which is increasingly linked to more frequent and severe weather patterns that are expected to have a dramatic impact on these countries‘ economies and environments.
This paper discusses a range of approaches and benchmarks that can guide future design of value chain impact evaluations. Twenty studies were reviewed to understand the status and direction of value chain impact evaluations. A majority of the studies focus on evaluating the impact of only a few interventions, at several levels within the value chains. Few impact evaluations are based on well-constructed, well-conceived comparison groups. Most of them rely on use of propensity score matching to construct counterfactual groups and estimate treatment effects.
This paper discusses a methodology to model precipitation indices and premium prices for index-based drought insurance for smallholders. Spatial basis risk, which is borne by the insured, is a problem, especially in variable topography. Also, site-specific drought risk needs to be estimated accurately in order to offer effective insurance cover and ensure financial sustainability of the insurance scheme. We explore farmers' perceptions on drought and spatial climate variability and draw conclusions concerning basis risk with regards to the proposed methodology.
Traditional approaches to innovation systems policymaking and governance often focus exclusively on the central provision of services, regulations, fiscal measures, and subsidies.
In this paper the authors present the development of an analytical framework to study agricultural innovation systems. They divide the agricultural sector into four levels and expand the innovation system approach to study innovation processes.
The purpose of this paper is to analyze the use of food insecurity as coercive tool or a weapon during conflict, providing a case study on Gaza. The authors aim at proving that Food insecurity in Gaza is not merely a product of conflict, but rather a systematic policy of control. The paper includes the presentation of community-based innovations that were created in the extremely intricate case of Gaza, in order to retain certain economic and political agency over food and farming systems.
This paper investigates Innovation Systems Concepts and Principles starting with an historical perspective. Then it analyzes their application to Integrated Agricultural Research for Development (IAR4D) and makes a comparison between the traditional Research and Development Systems Approaches and the Innovation Systems Approach.
A growing variety of public and private agricultural advisory services are available today, leading to increasingly ‘pluralistic service systems’ (PSS) where advisory services are provided by different actors and funded from different sources. This is generally regarded as an important step forward, as it steers away from relying on purely state-led or privatised service systems. PSS hold the potential to overcome constraints related to funding, staffing and expertise, and to make advisory services more demand-driven.
Capacity development interventions in support of agricultural innovation are more effective when based on systematic and participatory assessments of existing skills and capacity needs. Recognizing that, an instrument has been developed in the context of the Capacity Development for Agricultural Innovation Systems (CDAIS) project. It consists of a capacity scoring tool that allows assessing innovation capacities, identifying strengths and weaknesses and monitoring capacity changes over time. This paper describes the scoring tool and provides guidelines on how to apply it successfully.