Governments in sub-Saharan Africa and their donors have made business investment a major policy goal, supported by a variety of incentives designed to support business investment in agriculture. However, little is known about the factors which influence agribusiness investment in Africa, and how effective these incentives have been. This paper examines the motivations of agribusiness investment, the effectiveness of government and donor policy incentives, and the relevance of these incentives for four different commercialisation pathways.
The devastation caused in Philippines by Typhoon Reming was the trigger for the Government request to FAO for the project “Strengthening Capacities for Climate Risk Management and Disaster Preparedness in Selected Provinces of the Philippines (Bicol Region)”. This technical project summary report provides a consolidated overview about the specific project activities, the implementation processes, main findings and the establishment of institutional mechanisms that were established to promote ongoing collaboration between farmers, agriculture extension workers, researchers and local governme
This report provides a synthesis of all findings and information generated through a “stocktaking” process that involved a desk study of Prolinnova documents and evaluation reports, a questionnaire to 40 staff members of international organizations in agricultural research and development (ARD), self-assessment by the Country Platforms (CPs) and backstopping visits to five CPs. In 2014, the Prolinnova network saw a need to re-strategise in a changing context, and started this process by reviewing the activities it had undertaken and assessing its own functioning.
To respond to threats of climate change, Benin has joined the international community in the development and implementation of climate policies.
The CLIC–SR project started on 1 September 2012, ended on 31 August 2016, and was implemented in four countries: Ethiopia, Kenya, Tanzania and Uganda. This report covers the work done in the final project period: January–August 2016. The report adds a chapter that reviews the achievements of the project over the full project cycle. The report from an independent external evaluation was a major source of information for this final chapter.
This paper outlines key areas of intervention that are identified as the core of FAO's strategy on strengthening Agricultural Innovation Systems (AIS) across multiple areas of work (e.g. research and extension, agroecology, biotechnology, green jobs, resourcing etc.) for achieving sustainable rural development.
Agricultural water management is a vital practice in ensuring reduction, and environmental protection. After decades of successfully expanding irrigation and improving productivity, farmers and managers face an emerging crisis in the form of poorly performing irrigation schemes, slow modernization, declining investment, constrained water availability, and environmental degradation. More and better investments in agricultural water are needed.
The purpose of this paper is to provide forward-looking recommendations for linking agriculture and nutrition by looking back over the 40 years since both nutrition and rural development began at the Bank in 1973. This paper sets out to explore whether what is currently being suggested has been attempted in the past; in what circumstances, with what sort of support or commitment, by what actors, and with what results.
The Feed the Future Uganda Agricultural Inputs Activity is to increase the use of high quality agricultural inputs in Uganda by increasing availability of high quality inputs to farmers in Feed the Future focus districts, and decreasing the prevalence of counterfeit agricultural inputs.
Les enjeux liés au changement climatique et à la sécurité alimentaire confortent la nécessité de mettre au point des démarches de conception/évaluation de systèmes durables, qu’il s’agisse d’améliorer les situations existantes ou d’imaginer de nouvelles voies de développement. En régions chaudes, l’élevage remplit aussi des fonctions non productives et doit s’adapter aux aléas et incertitudes.