Smallholder farmers in developing countries often suffer from high risk and limited market access. Contract farming may improve the situation under certain conditions. Several studies analyzed effects of contracts on smallholder productivity and income with mixed results. Most existing studies focused on one particular contract scheme. Contract characteristics rarely differ within one scheme, so little is known about how different contract characteristics may influence the benefits for smallholders.
Communication is essential to making biotechnology and genomics relevant to developing countries and poor people. Few would disagree with that. But many are sceptical about public relations efforts to impose inappropriate technological ‘solutions’ on developing countries. This paper is a partial reflection on how PR and advocacy ‘mixes’ can be understood and whether they can be useful to innovation in developing country contexts.
To determine whether a farmer’s accessibility predicts the delivery of extension services, this study used banana Xanthomonas wilt (BXW) disease-management advisory as a typical case with which to collect extension-delivery information from 690 farmers, distinguished by their respective accessibility. Cost–distance analysis was applied to define each farmer’s accessibility. The results revealed that a farmer’s accessibility does not predict extension delivery to that farmer in all forms of the examined extension parameters.
The government of Rwanda is promoting agricultural intensification focused on the production of a small number of targeted commodities as a central strategy to pursue the joint policy goals of economic growth, food security and livelihood development. The dominant approach to increase the productive capacity of the land, crops and animal resources has been through large-scale land consolidation, soil fertility management, and the intensive use of biotechnology and external inputs.
Even prior to COVID, there was a considerable push for food system transformation to achieve better nutrition and health as well as environmental and climate change outcomes. Recent years have seen a large number of high visibility and influential publications on food system transformation. Literature is emerging questioning the utility and scope of these analyses, particularly in terms of trade-offs among multiple objectives.
The rapid transformation of agri-food value chains in Africa and other developing countries has important implications for economic growth and poverty reduction. Policy makers increasingly recognize this but there is a need for a better understanding of what value chain transformation entails and what the main policy options are. This paper provides an overview and analysis of different value chain models that have emerged in the past decades and reviews the literature on the main development implications.
Le présent document expose les principaux domaines d’intervention qui ont été désignés comme éléments essentiels de la stratégie de la FAO destinée à renforcer les systèmes d’innovation agricole (SIA) à divers niveaux (recherche et vulgarisation, agroécologie, emplois verts, mobilisation de ressources, etc.) pour parvenir à un développement rural durable.
This paper addresses four questions: · What lessons can be drawn from the "rise and decline" of NARS in Africa? · What can African research managers learn from some of the successful reforms of NARS in Asia and Latin America over the past 10 to 15 years? · What are the major challenges facing the NARS in the ASARECA region in the coming 10-20 years? · What are the critical reforms and the incentives needed to develop pluralistic, accountable, productive and financially self-sustaining NARS in AFRICA?
Postharvest loss exacerbates the food insecurity and welfare loss of farming households in developing countries. This paper analyses the effect of improved storage, a climate-smart crop management technology, on household food and nutrition security, market participation and welfare using nationally representative data from Ethiopia. Endogenous switching regression models are employed to control for selection bias and unobserved heterogeneity.