Trinidad and Tobago

Los gobiernos pueden utilizar la inteligencia artificial (IA) para diseñar mejores políticas, tomar decisiones más acertadas y específicas y mejorar la comunicación con los ciudadanos y la calidad de los servicios públicos. La región de América Latina y el Caribe (ALC) está tratando de aprovechar el potencial de la IA para promover la transformación digital del sector público. La OCDE, en colaboración con CAF, Banco de Desarrollo de América Latina, preparó este informe para entender la línea base de acciones estratégicas y capacidades para la IA en el sector público; identificar los enfoques y acciones específicas para usar esta tecnología en la construcción de gobiernos eficientes, eficaces y receptivos; e impulsar la colaboración en la búsqueda de una visión regional para la IA en el sector público. Este informe incorpora un balance de las estrategias y compromisos de cada país en torno a la IA en el sector público, incluyendo su alineación con los Principios de IA de la OCDE. También incluye un análisis de los esfuerzos realizados para crear capacidades clave de gobernanza y poner en marcha los facilitadores críticos de la IA en el sector público. Concluye con una serie de recomendaciones para los gobiernos de ALC.

Under BEPS Action 14, members of the OECD/G20 Inclusive Framework on BEPS have committed to implement a minimum standard to strengthen the effectiveness and efficiency of the mutual agreement procedure (MAP). The MAP is included in Article 25 of the OECD Model Tax Convention and commits countries to endeavour to resolve disputes related to the interpretation and application of tax treaties. The BEPS Action 14 Minimum Standard has been translated into specific terms of reference and a methodology for the peer review and monitoring process. The peer review process is conducted in two stages. Stage 1 assesses countries against the terms of reference of the minimum standard according to an agreed schedule of review. Stage 2 focuses on monitoring the follow-up of any recommendations resulting from jurisdictions' Stage 1 peer review report. This report reflects the outcome of the Stage 2 peer monitoring of the implementation of the BEPS Action 14 Minimum Standard by Trinidad and Tobago.

This report compiles comparable tax revenue statistics over the period 1990-2020 for 27 Latin American and Caribbean economies. Based on the OECD Revenue Statistics database, it applies the OECD methodology to countries in Latin America and the Caribbean to enable comparison of tax levels and tax structures on a consistent basis, both among the economies of the region and with other economies. This publication is jointly undertaken by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the Inter-American Center of Tax Administrations (CIAT), the Economic Commission for Latin America and the Caribbean (ECLAC) and the Inter-American Development Bank (IDB).

Governments can use artificial intelligence (AI) to design better policies and make better and more targeted decisions, enhance communication and engagement with citizens, and improve the speed and quality of public services. The Latin America and the Caribbean (LAC) region is seeking to leverage the immense potential of AI to promote the digital transformation of the public sector. The OECD, in collaboration with CAF, Development Bank of Latin America, prepared this report to help national governments in the LAC region understand the current regional baseline of activities and capacities for AI in the public sector; to identify specific approaches and actions they can take to enhance their ability to use this emerging technology for efficient, effective and responsive governments; and to collaborate across borders in pursuit of a regional vision for AI in the public sector. This report incorporates a stocktaking of each country’s strategies and commitments around AI in the public sector, including their alignment with the OECD AI Principles. It also includes an analysis of efforts to build key governance capacities and put in place critical enablers for AI in the public sector. It concludes with a series of recommendations for governments in the LAC region.

This report compiles comparable tax revenue statistics over the period 1990-2019 for 27 Latin American and Caribbean economies. Based on the OECD Revenue Statistics database, it applies the OECD methodology to countries in Latin America and the Caribbean to enable comparison of tax levels and tax structures on a consistent basis, both among the economies of the region and with other economies. This publication is jointly undertaken by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the Inter-American Center of Tax Administrations (CIAT), the Economic Commission for Latin America and the Caribbean (ECLAC) and the Inter-American Development Bank (IDB). The 2021 edition is produced with the support of the EU Regional Facility for Development in Transition for Latin America and the Caribbean, which results from joint work led by the European Union, the OECD and its Development Centre, and ECLAC.

Panorama de la Salud: Latinoamérica y el Caribe 2020 presenta indicadores clave sobre la salud y los sistemas de salud en 33 países de Latinoamérica y el Caribe. Esta primera edición del Panorama de la Salud sobre Latinoamérica y el Caribe fue preparada en conjunto por la OCDE y el Banco Mundial. Los análisis se basan en los datos comparables más recientes de alrededor de 100 indicadores sobre equidad, situación de salud, determinantes de la salud, recursos y actividades, gasto y financiación, y calidad en la atención de salud. El editorial discute los principales desafíos para la región en el contexto de la pandemia de COVID-19, incluyendo tanto el manejo de la epidemia como la movilización y el uso eficiente de recursos para asegurar una respuesta efectiva. El capítulo inicial, que resume el desempeño comparativo de los países antes de la crisis actual, está seguido por un capítulo especial sobre el malgasto en los sistemas de salud que redunda en acciones inefectivas o no mejora resultados, con el fin de redirigir esos recursos a otras áreas donde son altamente necesarios.

Health at a Glance: Latin America and the Caribbean 2020 presents key indicators on health and health systems in 33 Latin America and the Caribbean countries. This first Health at a Glance publication to cover the Latin America and the Caribbean region was prepared jointly by OECD and the World Bank. Analysis is based on the latest comparable data across almost 100 indicators including equity, health status, determinants of health, health care resources and utilisation, health expenditure and financing, and quality of care. The editorial discusses the main challenges for the region brought by the COVID-19 pandemic, such as managing the outbreak as well as mobilising adequate resources and using them efficiently to ensure an effective response to the epidemic. An initial chapter summarises the comparative performance of countries before the crisis, followed by a special chapter about addressing wasteful health spending that is either ineffective or does not lead to improvement in health outcomes so that to direct saved resources where they are urgently needed.

This report compiles comparable tax revenue statistics over the period 1990-2018 for 26 Latin American and Caribbean economies. Based on the OECD Revenue Statistics database, it applies the OECD methodology to countries in Latin America and the Caribbean to enable comparison of tax levels and tax structures on a consistent basis, both among the economies of the region and with other economies. This publication is jointly undertaken by the OECD Centre for Tax Policy and Administration, the OECD Development Centre, the Inter-American Center of Tax Administrations (CIAT), the Economic Commission for Latin America and the Caribbean (ECLAC) and the Inter-American Development Bank (IDB). The 2020 edition is produced with the support of the EU Regional Facility for Development in Transition for Latin America and the Caribbean, which results from joint work led by the European Union, the OECD and its Development Centre, and ECLAC.

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 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.