1887

Zambie

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This dataset includes pension funds statistics with OECD classifications by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data includes plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. Data are presented in various measures depending on the variable: millions of national currency, millions of USD, thousands or unit.
This dataset comprises statistics pertaining to pensions indicators.It includes indicators such as occupational pension funds’asset as a % of GDP, personal pension funds’ asset as a % of GDP, DC pension plans’assets as a % of total assets. Pension fund and plan types are classified according to the OECD classification. Three dimensions cover this classification: pension plan type, definition type and contract type.
This dataset includes pension funds statistics with OECD classifications by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data includes plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. Data are presented in various measures depending on the variable: millions of national currency, millions of USD, thousands or unit.
This dataset comprises statistics pertaining to pensions indicators.It includes indicators such as occupational pension funds’asset as a % of GDP, personal pension funds’ asset as a % of GDP, DC pension plans’assets as a % of total assets. Pension fund and plan types are classified according to the OECD classification. Three dimensions cover this classification: pension plan type, definition type and contract type.
  • 02 déc. 2021
  • OCDE
  • Pages : 102

Today, the global youth population is at its highest ever and still growing, with the highest proportion of youth living in Africa and Asia, and a majority of them in rural areas. Young people in rural areas face the double challenge of age-specific vulnerabilities and underdevelopment of rural areas. While agriculture absorbs the majority of rural workers in developing countries, low pay and poor working conditions make it difficult to sustain rural livelihoods. Potential job opportunities for rural youth exist in agriculture and along the agri-food value chain, however. Growing populations, urbanisation and rising incomes of the working class are increasing demand for more diverse and higher value added agricultural and food products in Africa and developing Asia. This demand will create a need for off-farm labour, especially in agribusinesses, which tends to be better paid and located in rural areas and secondary towns. It could boost job creation in the food economy provided that local food systems were mobilised to take up the challenge of higher and changing domestic demand for food.

Ce document de travail analyse les liens entre l’emploi informel et l’inadéquation entre niveaux de formation et emploi à partir des données d’enquêtes de ménages qui couvrent 15 pays d’Amérique latine et d’Afrique. Il s’appuie sur une méthodologie unifiée pour mesurer l'inadéquation formation-emploi et l'informalité, conformément aux normes internationales du travail et des statistiques dans ce domaine. Les résultats suggèrent que dans la majorité des pays en développement à revenu faible et intermédiaire pour lesquels des données sont disponibles, les travailleurs occupant des emplois informels ont une probabilité plus élevée d'être sous-éduqués que les travailleurs occupant des emplois formels. Ceux-ci ont, a contrario, plus de chances d'être sur-éduqués. Ces résultats sont cohérents tant pour les travailleurs salariés que pour les travailleurs indépendants. Selon l’analyse ventilée par sexe, ils sont également valables pour les hommes comme pour les femmes. De plus, dans la majorité des pays considérés dans ce document, le lien entre l’inadéquation formation-emploi et l'informalité est également lié à l'étendue de l'informalité dans une région donnée : sur les marchés du travail où l'informalité est plus élevée, les travailleurs informels en particulier ont plus de probabilités d'être sous-qualifiés. Le document examine les implications de ces résultats pour les politiques publiques.

L'emploi informel, défini par l'absence de protection sociale basée sur l'emploi, constitue la majeure partie de l'emploi dans les pays en développement, et entraîne un niveau de vulnérabilité à la pauvreté et à d'autres risques qui sont supportés par tous ceux qui dépendent des revenus du travail informel. Les résultats de la base de données des Indicateurs clés de l’informalité en fonction des individus et leurs ménages (KIIbIH) montrent qu'un nombre disproportionné de travailleurs de l'économie informelle de la classe moyenne reçoivent des transferts de fonds. Ces résultats confirment que les stratégies de gestion des risques, telles que la migration, jouent un rôle dans la minimisation des risques potentiels du travail informel pour les ménages informels de la classe moyenne qui peuvent ne pas être éligibles à l'aide sociale. Ils suggèrent en outre que les travailleurs informels de classe moyenne peuvent avoir une demande solvable d'assurance sociale, de sorte que, si des régimes d'assurance sociale adaptés aux besoins des travailleurs informels leur étaient accessibles, les transferts de fonds pourraient potentiellement être canalisés pour financer l'extension de l'assurance sociale à l'économie informelle.

Anglais

L'emploi informel, défini par l'absence de protection sociale basée sur l'emploi, constitue la majeure partie de l'emploi dans les pays en développement, et entraîne un niveau de vulnérabilité à la pauvreté et à d'autres risques qui sont supportés par tous ceux qui dépendent des revenus du travail informel. Les résultats de la base de données des Indicateurs clés de l'informalité en fonction des individus et leurs ménages (KIIbIH) montrent qu'un nombre disproportionné de travailleurs de l'économie informelle de la classe moyenne reçoivent des transferts de fonds. Ces résultats confirment que les stratégies de gestion des risques, telles que la migration, jouent un rôle dans la minimisation des risques potentiels du travail informel pour les ménages informels de la classe moyenne qui peuvent ne pas être éligibles à l'aide sociale. Ils suggèrent en outre que les travailleurs informels de classe moyenne peuvent avoir une demande solvable d'assurance sociale, de sorte que, si des régimes d'assurance sociale respectueux de l'informalité leur étaient accessibles, les transferts de fonds pourraient potentiellement être canalisés pour financer l'extension de l'assurance sociale à l'économie informelle.

Français

This dataset comprises statistics pertaining to pensions indicators.It includes indicators such as occupational pension funds’asset as a % of GDP, personal pension funds’ asset as a % of GDP, DC pension plans’assets as a % of total assets. Pension fund and plan types are classified according to the OECD classification. Three dimensions cover this classification: pension plan type, definition type and contract type.

This dataset includes pension funds statistics with OECD classifications by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data includes plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. Data are presented in various measures depending on the variable: millions of national currency, millions of USD, thousands or unit.

  • 18 mai 2019
  • OCDE, Organisation internationale du travail
  • Pages : 28

As Zambia plans for extending social protection coverage, this high level of informality will be an important challenge for the social protection system, in particular in terms of coordinating both non-contributory social assistance mechanisms and contributory social insurance programmes. This report on informality and poverty presents useful and critical information to support comprehensive policy dialogue on suitable interventions for extension of coverage by providing in-depth analyses of the socioeconomic characteristics of informal workers and analyzing the relationship between household welfare and formal/informal employment status of household members. For the first time this study provides a detailed distributional analysis of welfare and wellbeing levels of informal workers in Zambia.

This dataset comprises statistics pertaining to pensions indicators.It includes indicators such as occupational pension funds’asset as a % of GDP, personal pension funds’ asset as a % of GDP, DC pension plans’assets as a % of total assets. Pension fund and plan types are classified according to the OECD classification. Three dimensions cover this classification: pension plan type, definition type and contract type.

This dataset includes pension funds statistics with OECD classifications by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data includes plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. Data are presented in various measures depending on the variable: millions of national currency, millions of USD, thousands or unit.

The Zambia country pilot study was conducted by the OECD Development Assistance Committee (DAC) to explore the challenges of transition finance for a commodity-based Least Developed Country (LDC). In particular, debt sustainability concerns are viewed within the context of the shifting financing for sustainable development landscape of Zambia following its re-classification to Lower Middle Income Category (LMIC).

In line with the Addis Ababa Action Agenda (AAAA), the pilot study proposes a new “ABC” approach targeted to assess all available sources of financing (official development finance, private investment, domestic resources, and remittances), identify emerging SDG financing gaps and promote better alignment of resources with national financing for sustainable development strategies.

This dataset comprises statistics pertaining to pensions indicators.It includes indicators such as occupational pension funds’asset as a % of GDP, personal pension funds’ asset as a % of GDP, DC pension plans’assets as a % of total assets. Pension fund and plan types are classified according to the OECD classification. Three dimensions cover this classification: pension plan type, definition type and contract type.

This dataset includes pension funds statistics with OECD classifications by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data includes plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. Data are presented in various measures depending on the variable: millions of national currency, millions of USD, thousands or unit.

  • 26 avr. 2017
  • OCDE
  • Pages : 96

This strategic foresight report assesses the interaction between demographics, economic development, climate change and social protection in six countries in East Africa between now and 2065: Ethiopia, Kenya, Mozambique, Tanzania, Uganda and Zambia. The report combines population projections with trends in health, urbanisation, migration and climate change and identifies the implications for economic development and poverty. It concludes by identifying policies to address seven grand challenges for social protection planners in national governments and donor agencies which emerge from the projections. These include: eliminating extreme poverty; extending social insurance in a context of high informality; the rapid growth of the working-age population, in particular the youth; adapting social protection to urban settings; protecting the poor from the effects of climate change; harnessing a demographic dividend; and substantially increasing funding for social protection.

This dataset includes pension funds statistics with OECD classifications by type of pension plans and by type of pension funds. All types of plans are included (occupational and personal, mandatory and voluntary). The OECD classification considers both funded and book reserved pension plans that are workplace-based (occupational pension plans) or accessed directly in retail markets (personal pension plans). Both mandatory and voluntary arrangements are included. The data includes plans where benefits are paid by a private sector entity (classified as private pension plans by the OECD) as well as those paid by a funded public sector entity. Data are presented in various measures depending on the variable: millions of national currency, millions of USD, thousands or unit.

This dataset comprises statistics pertaining to pensions indicators.It includes indicators such as occupational pension funds’asset as a % of GDP, personal pension funds’ asset as a % of GDP, DC pension plans’assets as a % of total assets. Pension fund and plan types are classified according to the OECD classification. Three dimensions cover this classification: pension plan type, definition type and contract type.

  • 25 mars 2015
  • OCDE
  • Pages : 264

This publication provides comprehensive and consistent information on African central government debt statistics for the period 2003-2013. Detailed quantitative information on central government debt instruments is provided for 17 countries to meet the requirements of debt managers, other financial policy makers and market analysts. A cross country overview on African debt management policies and country policy notes provides background information on debt issuance as well as on the institutional and regulatory framework governing debt management policy

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