Namibia

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.

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.

Using household data from 15 countries in Latin America and Africa, this paper explores linkages between informality and education-occupation matching. The paper applies a unified methodology to measuring education-occupation mismatches and informality, consistently with the international labour and statistical standards in this area. The results suggest that in the majority of low- and middle-income developing countries with available data, workers in informal jobs have higher odds of being undereducated as compared to workers in formal jobs. Workers in formal jobs, in contrast, have higher chances of being overeducated. These results are consistent for dependent as well as for independent workers. They also hold for men and for women according to the gender-disaggregated analysis. Moreover, in the majority of countries considered in this paper, the matching-informality nexus is also related to the extent of informality in a given area: in labour markets with higher informality, informal workers in particular have a higher chance of being undereducated. The paper discusses policy implications of these findings.

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.

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.

Informal employment, defined through the lack of employment-based social protection, constitutes the bulk of employment in developing countries, and entails a level of vulnerability to poverty and other risks that are borne by all who are dependent on informal work income. Results from the Key Indicators of Informality based on Individuals and their Households database (KIIbIH) show that a disproportionately large number of middle‑class informal economy workers receive remittances. Such results confirm that risk management strategies, such as migration, play a part in minimising the potential risks of informal work for middle‑class informal households who may not be eligible to social assistance. They further suggest that middle‑class informal workers may have a solvent demand for social insurance so that, if informality-robust social insurance schemes were made available to them, remittances could potentially be channelled to finance the extension of social insurance to the informal economy.

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.