Mauritius
Systemic constraints to investment and export competitiveness in Mauritius include small market size, geographical isolation, and high labour costs. More fundamentally, the skill base is not tailored to the requirements of sectors promoted by government: a mismatch in labour market skills constrains competitiveness and prevents the population from making the most of business linkage opportunities. Mauritius has yet to take the step towards a coherent global economic strategy, which would put foreign trade in perspective with enabling human resources, infrastructure and investment strategies. Ensuring greater policy coherence between trade and investment strategies – including at industry and sector-specific level – would be essential. In addition to diversifying export partners, trade policy will need to balance exports with growth of the domestic market, reduce the gap between trade policy formulation and implementation, and upgrade the links of Mauritian industry with international value chains – notably through targeted human resource mobilisation.
Small island developing states (SIDS) have been acutely affected by the economic impacts of the COVID-19 pandemic. This paper takes a broader perspective to explore how the revenue effects of this crisis in SIDS are connected to their unique financing and development challenges. It also suggests how SIDS governments and development co-operation providers can better partner together to strengthen mobilisation of domestic revenues – in particular tax revenues – in the recovery post-COVID-19.
Mauritius is one of the most competitive and successful economies in Africa, with levels of income and of Foreign Direct Investment (FDI) per capita which are among the highest in the continent. The Mauritian economy is also one of the most open to foreign ownership worldwide, and relies on political stability, strong rule of law and regulatory efficiency. It has successfully rebounded following shocks exerted by the global financial crisis as well as the economic slowdown of the Eurozone, the main destination market for Mauritian exports. In 2012, performance has been particularly promising in the financial services, ICT and seafood sectors, which are expected to attract further investment (both domestic and foreign) in coming years.
Mauritius, the star and key of the Indian Ocean provides countless opportunities in the African Continent. Our island has, since its independence, made consistent impressive economic and social achievement in the face of economic constraints. This is, in large part, due to our policies of investing in human development, and of tackling poverty through comprehensive social protection schemes.
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 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 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 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 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.