1887

Namibie

/search?value51=igo%2Foecd&value6=&value5=&value53=status%2F50+OR+status%2F100&value52=&value7=&value2=country%2Fna&option7=&value4=&option5=&value3=&option6=&publisherId=%2Fcontent%2Figo%2Foecd&option3=&option52=&option4=&option53=pub_contentStatus&option51=pub_igoId&option2=pub_countryId
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 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.
  • 17 déc. 2021
  • OCDE, Organisation des Nations Unies pour l'alimentation et l'agriculture
  • Pages : 190

Le calamità legate a rischi naturali (NHID), come inondazioni, siccità, violente tempeste, parassiti e malattie animali, hanno un impatto significativo, diffuso e di lunga durata sui settori agricoli di tutto il mondo. Poiché il cambiamento climatico è destinato ad amplificare molti di questi impatti, un approccio "business-as-usual" alla gestione del rischio di calamitá naturali in agricoltura non può continuare se si vogliono affrontare le sfide della produttività agricola, della crescita sostenibile, e dello sviluppo sostenibile. Attingendo da sette studi di caso - Cile, Italia, Giappone, Namibia, Nuova Zelanda, Turchia e Stati Uniti - questo rapporto congiunto OCSE-FAO propone un nuovo approccio per rafforzare la resilienza alle calamità legate a rischi naturali in agricoltura. Esplora le misure politiche, gli accordi di governance, le strategie aziendali e altre iniziative che i paesi stanno usando per rafforzare la resilienza agricola alle calamità legate a rischi naturali, evidenziando le buone pratiche emergenti. Offre raccomandazioni concrete su ciò che è necessario fare per passare da un approccio mirato ad assorbire gli impatti dei disastri, ad un approccio ex ante che si concentri sulla prevenzione e sulla mitigazione degli impatti dei disastri, aiutando il settore a essere meglio preparato a rispondere ad essi e ad adattarsi e trasformarsi per affrontare le calamità future.

Anglais
  • 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
  • 08 juin 2021
  • OCDE, Organisation des Nations Unies pour l'alimentation et l'agriculture
  • Pages : 174

Natural hazard-induced disasters (NHID), such as floods, droughts, severe storms, and animal pests and diseases have significant, widespread and long-lasting impacts on agricultural sectors around the world. With climate change set to amplify many of these impacts, a “business-as-usual” approach to disaster risk management in agriculture cannot continue if we are to meet the challenges of agricultural productivity and sustainability growth, and sustainable development. Drawing from seven case studies – Chile, Italy, Japan, Namibia, New Zealand, Turkey and the United States – this joint OECD-FAO report argues for a new approach to building resilience to NHID in agriculture. It explores the policy measures, governance arrangements, on-farm strategies and other initiatives that countries are using to increase agricultural resilience to NHID, highlighting emerging good practices. It offers concrete recommendations on what more needs to be done to shift from coping with the impacts of disasters, to an ex ante approach that focuses on preventing and mitigating the impacts of disasters, helping the sector be better prepared to respond to disasters, and to adapt and transform in order to be better positioned for future disasters.

Italien

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.

Namibia is an upper middle-income country with one of the most comprehensive social protection systems in Africa. It provides cash transfers and complementary social assistance to a range of vulnerable groups including children, the elderly and people with disabilities, at a cost equivalent to 4.5% of GDP in 2016/17. Public-sector workers are well covered by social insurance, although there are gaps in provision for the private sector. Social protection, in particular cash transfers, has proven highly effective at reducing poverty and inequality and mitigating the impact of high unemployment, although these remain persistent challenges. For Namibia to achieve its development objectives, social protection will need to play an even greater role in the future, but scaling up social protection in the current context of low economic growth and fiscal consolidation will be challenging. This paper charts the evolution of social protection provision and expenditure, locates social protection within the context of Namibia’s broader fiscal framework and proposes options for enhancing its impact without increasing public spending.

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.

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 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 is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error