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Brochure, flyer, fact-sheetDecent rural employment and productivity of family labour 2017
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No results found.Agricultural labour productivity and decent employment are interlinked. Data show that in countries with higher agricultural productivity, the agricultural workforce faces a lower probability to be unemployed, poor or in vulnerable employment. This indicates that decent work gaps in agriculture can be addressed by increasing labour productivity. To do so, FAO works to improve the skills of the agricultural workforce through trainings and education, with particular emphasis on youth, helping them adapt to ongoing and future labour market demands. This enhances the ability of rural dweller to engage in high quality jobs and increases their mobility within the agricultural sector and towards agriculture-related activities. Altogether, this will foster inclusive rural development. -
Book (stand-alone)Guidance on how to address decent rural employment in FAO country activities
Guidance material 1
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No results found.This guidance document will: Introduce the concepts of rural employment and decent work (RE&DW). Acknowledge the centrality of RE&DW for the achievement of the Millennium Development Goals (MDGs)• Affirm FAO’s comparative advantages in dealing with RE&DW and identify the main areas of intervention • Provide a summary of the results of FAO’s “Self-Assessment on Employment and Decent Workâ€Â • Suggest examples of concrete actions that FAO country offices could consider to promote RE&DW w ithin their existing work programmes • Encourage the creation of links with International Labour Organization (ILO) field offices and facilitate partnerships and the identification of synergies. -
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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