In this report, food distribution is analysed within the context of food systems in Tanzania. This study looks at entry points for further studies of food system issues within the country that will affect progress towards the achievement of Sustainable Development Goal (SDG) 2. Both qualitative and quantitative methods are used, first to map and conceptualize the complexity of the food system in Tanzania, and then to quantify the likely impacts of scenarios of action and inaction.
This publication describes the activities carried out in the tripartite event ‘Transforming Nutrition-Sensitive Value Chain Development in the Pacific Islands.” It was implemented by the Technical Centre for Agricultural and Rural Cooperation (CTA) in collaboration with MORDI Tonga Trust, the International Fund for Agricultural Development (IFAD) and the Pacific Islands Private Sector Organisation (PIPSO). The document starts discussing the main events and field trips that were realized after talk about the lessons learned and in the end brings some case studies and sucess stories.
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.
This report reviews the evidence of impact of capacity strengthening on agricultural research for development (AR4D) in developing countries. The study was commissioned by DFID as part of the documentation process of the project Strengthening Capacity for Agricultural Research for Development in Africa (SCARDA).
The Africa Leadership Training and Capacity Building Program (Africa Lead), aims to support the capacity building program of the US Government’s Feed the Future Initiative, which aligns U.S. Government development assistance with Africa-owned agriculture development plans that are, in turn, aligned with the African Union’s Comprehensive Africa Agriculture Development Program.
This report outlines AIIM-Assist activities performed under four components (management of the annual program statement process, building the capacity of AIIM grantees and finalists, technical assistance to other USAID missions in Feed the Future focus countries, technical support to African regional partners outside of AIIM), and highlights qualitative and quantitatvie achievements between August 6, 2012 and November 4, 2016.
Indonesian agriculture is at a crossroads. Supporting the livelihood of millions of Indonesians, it needs to underpin renewed and robust growth of the economy; and be a key component of the Government's poverty alleviation strategy. The challenge for the future is to reinvigorate productivity gains among rural producers, and provide the foundation for long run sustainability of these productivity gains. Productivity gains are key to farmer income growth, and for this rebuilding the research and extension systems that have seen a marked deterioration in recent years will be critical.
The Agribusiness and Market Development (AMDe) project is funded through USAID Ethiopia’s Feed the Future program from June 2011 to May 2016. It goal is to sustainably reduce poverty and hunger by improving the productivity and competiveness of agricultural value chains that offer jobs and income activities for rural households.
Le projet CALAO – Capitalisation d’expériences d’acteurs pour le développement de techniques agroécologiques résilientes en Afrique de l’Ouest – a été mis en œuvre au cours de l’année 2017 dans le cadre du Projet d’appui à la sécurité alimentaire en Afrique de l’Ouest (PASANAO), financé par l’AFD et dont la maîtrise d’ouvrage est assurée par la CEDEAO.
This report describes the 2012 NAIS Assessment was piloted in 4 countries: Botswana, Ghana, Kenya and Zambia. Data were collected through a survey questionnaire, open-ended interview questions, and data mining of secondary sources. A team led by a national coordinator took charge of data collection from various partner organizations in each country.