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Improving the labor supply of the poorest workers in Sub-Saharan Africa (Inglês)

Labor supply in Sub-Saharan Africa, like many economic and social issues, is often discussed as though the entire subcontinent faced essentially similar overwhelming and intractable problems. This pessimistic and over-generalized perspective has almost no policy relevance. While overly broad policy recommendations for the labor market are dangerous, there are certain similarities in the characteristics of the most disadvantaged labor market entrants in many Sub-Saharan African economies. The aim of the analysis is to begin to isolate the policies that might be most relevant for these disadvantaged entrants, if donors and governments wish to reallocate resources to improve prospects for the poorest Africans. This paper contains the following headings: data on labor supply - findings and shortcomings; grave inequalities affect the quality of labor supplies; labor mobility - constraints and opportunities for poverty reduction; and where to focus policy attention.

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Detalhes

  • Data do documento

    2006/11/01

  • TIpo de documento

    Documento de Trabalho (Série Numerada)

  • No. do relatório

    38139

  • Nº do volume

    1

  • Total Volume(s)

    1

  • País

    África,

  • Região

    África,

  • Data de divulgação

    2010/07/01

  • Disclosure Status

    Disclosed

  • Nome do documento

    Improving the labor supply of the poorest workers in Sub-Saharan Africa

  • Palavras-chave

    labor supply;Labor Market;life expectancy;flow of people;female labor force;auxiliary health worker;health delivery system;female life expectancy;child mortality rate;literacy and numeracy;decline in fertility;mobility of population;hiv prevalence rate;barriers to mobility;trained health worker;primary school teacher;Mobility and Labor;labor market entrant;primary school dropout;recruitment of teacher;core labor standard;international labour organization;capacity of worker;poverty reduction work;poor household;labor mobility;female illiteracy;rural area;child labor;poor child;social differentiation;rural transportation infrastructure;migrant worker;rural population;survey population;legal barrier;welfare indicator;migrant laborer;geographic area;working relationship;orphaned children;age population;young people;immigrant worker;productive opportunities;hiv data;Education Policy;Job Creation;scarce resource;education service;prevention campaign;aids testing;health facility;vaccination program;remittance money;fiscal constraint;age structure;african study;population size;gender discrimination;money transmission;market participation;rural schooling;equity ground;host population;Brain Drain;policy relevance;saving institution;effective demand;workplace right;targeted intervention;development policy;working age;educated men;household head;future labor;differential impact;labor productivity;age cohort;demographic data;Gender Gap;Education Services;Political Violence;government spending;free school;school attendance;economic model;human traffic;population mobility;social issue;voluntary migration;population census;productive potential;information network;population dynamic;migration destination;skills programs;infrastructure provision;migration datum;

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