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        Labour Markets in Low-Income Countries

        Challenges and Opportunities

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        Author(s)
        Lam, David
        Elsayed, Ahmed
        Language
        English
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        Abstract
        Employment and job creation are key components in achieving economic growth and sustainable development, particularly in low-income countries. The growing size of the working-age population in many developing regions underscores the need to further strengthen labour market structures in the world’s poorest countries. Despite the importance of studying emerging labour markets, and investigating which policies are more successful, the evidence is rather limited. Against this backdrop, the joint IZA/FCDO Growth and Labour Markets in Low Income Countries (GLM|LIC) programme was established and has taken important steps to close this gap. Covering topics such as poverty, informality and rural labour, skills training and behaviour, gender inequality, youth and child labour, and migration, this volume presents key takeaways from most recent research in the field. Which development policies will work, which strategies will fail? The authors provide an in-depth discussion of current development programmes, based on the results of new evaluation studies, and derive important policy lessons.
        URI
        https://library.oapen.org/handle/20.500.12657/52065
        Keywords
        labour markets, gender, low-income countries, poverty, skills training, migration, informality, youth, child labour
        DOI
        10.1093/oso/9780192897107.001.0001
        ISBN
        9780192897107
        Publisher
        Oxford University Press
        Publisher website
        https://global.oup.com/
        Publication date and place
        Oxford, 2021
        Classification
        Labour / income economics
        Economic growth
        Development economics and emerging economies
        Pages
        256
        Public remark
        Funder name: IZA
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/
        • Imported or submitted locally

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        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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