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Book (stand-alone)Rural Migration in the Near East and North Africa – Regional trends 2019
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No results found.The Near East and North Africa (NENA) has always been affected and in many ways shaped by the high levels of human mobility. However, rural migration - or migration to, from and between rural areas - is often overlooked, despite its important ramifications for food security, agriculture, rural development and regional disparities. In the next decade, persistent poverty, climatic threats and increasing competition for natural resources may fuel greater levels of migration across NENA countries. This report was designed to provide policy makers, practitioners and development partners with an overview of the main challenges and opportunities of rural migration in the NENA region. -
Book (stand-alone)Characteristics, patterns and drivers of rural migration in Senegal 2020
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Although migratory flows from rural areas are a common phenomenon in most developing countries, we possess little information on their dynamics and determinants. In this context, in September 2017, in the framework of the project “Fostering productive investments to create decent farm and non-farm jobs for rural youth in migration-prone areas in Senegal”, FAO and the Senegalese National Agency of Statistics and Demography (ANSD) conducted a household survey with the aim of generating information on migration phenomena in rural areas. The survey results described in this study contribute to broadening the available knowledge base on the causes and dynamics of rural migration and aim to inform sectoral economic policies, youth employment and rural development policies. -
Book (series)Decent rural employment in different farming systems in Sub-Saharan Africa 2016
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No results found.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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