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Boosting Rural Development by Strengthening Family Farming in Sub-Saharan Africa - GCP/RAF/498/BRA









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    Book (stand-alone)
    Family farming in sub-Saharan Africa
    Its contribution to agriculture, food security and rural development
    2016
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    This paper presents an analysis of the characteristics of family farming in Africa and discusses its role in overcoming some of the major development challenges in this region. The main objective of the study is to depict family farming’s diversity in the region. Furthermore, it examines the contribution of family farming to agricultural and rural development, food and nutrition security and environmental protection. The paper also presents some key recommendations and discusses the enabling pol icy environment that should be built and deployed to overcome the challenges family farmers face, highlighting the policies and best practices involving family farming that are being implemented in the region.
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    Brochure, flyer, fact-sheet
    Adoption of farm inputs, mechanization, irrigation and gender gaps in sub-Saharan Africa: insights from the Rural Livelihoods Information System (RuLIS)
    RuLIS brief
    2021
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    RuLIS is a tool to support policies for reducing rural poverty, jointly developed by the Food and Agriculture Organization of the United Nations (FAO) Statistics Division, the World Bank and the International Fund for Agricultural Development (IFAD). RuLIS brings together harmonized indicators and comparable data across countries and over time on rural incomes, livelihoods and rural development. Using the RuLIS data, this brief focuses on the observations made in the adoption of agricultural inputs, along with improved technology such as irrigation, and mechanised tools among crop farm households in sub-Saharan Africa.
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    Book (series)
    Decent rural employment in different farming systems in Sub-Saharan Africa 2016
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    This paper analyses how the relationship between decent rural employment and agricultural productivity vary across production systems. The focus is on sub-Saharan Africa, taking Ethiopia and Tanzania as case studies. A latent class stochastic frontier approach is applied to identify different production systems and technologies for a sample of farms in the two countries. Subsequently, we estimate the efficiency of production for these systems and investigate in how far decent rural employment indicators explain different levels of efficiencies across different latent classes.

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