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  • Dataset

    By Climate Change Solutions Division (VPS/CSD/CCS)
    Under the IDB Group Corporate Results Framework 2020-2023 (https://crf.iadb.org/en), the IDB committed to a climate finance target of 30% of total approved volume. “Climate finance” refers to the financial resources MDBs commit to development projects and the components that enable activities that mitigate and adapt to climate change in developing and emerging economies.
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  • Dataset

    By Agriculture and Rural Development Division (VPS/PTI/ARD)
    The series of documents includes general recommendations to minimize the risk of COVID-19 transmission in the tourism sector, as well as specific recommendations for different tourist subsectors and spaces (accommodations, restaurants, local transport, beaches, airports and ports). It also includes recommendations for managing prevention protocols and specific tools to minimize transmission. The series is derived from an evaluation-diagnosis exercise that determined the adequacy of the current biosafety protocols against COVID-19 in a set of tourism subsectors, identifying the main nodes of risk of contagion throughout the service provision process. The series is made up of 10 documents: Reading Guide, R01 General Recommendations, R02.1-R02.5 Specific Recommendations by Subsector (tourist accommodation, restaurants, local transport, beaches, ports and airports), R03 Recommendations for Managing Prevention Protocols, and E02.1-E02.2 Specific Tools to Minimize Transmission.
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  • Dataset

    By Climate Change Solutions Division (VPS/CSD/CCS)
    Under the current IDBG Corporate Results Framework (CRF) 2020-2023 (https://crf.iadb.org/en), the IDB committed to reach 30% of the total amount approved (including all lending operations) of climate finance during this period. In 2020, the IDB Group - composed of the IDB, IDB Lab (formerly the Multilateral Investment Fund) and IDB Invest - approved US$3.9 billion in climate finance as per the MDB climate finance tracking methodology. This resource is aimed at development activities carried out by the public and private sectors that reduce greenhouse gas (GHG) emissions and thus mitigate climate change, and/or that reduce vulnerability to climate change and contribute to an adaptation process. This amount represented 19.5% of the IDB Groups total approved amount for 2020. The IDB only climate finance in 2020 was 15%, equivalent to US$ 2 billion. If the COVID-19 related investments are excluded, the IDB climate finance reached 30%. Changes in demand from countries to respond to the...
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  • Dataset

    By Social Protection and Labor Markets Division (VPS/SCL/SPL)
    The PLAC Network's Pension Indicators are a dataset containing information related to the labor markets and pension systems of the nineteen PLAC Network member countries: Argentina, Bahamas, Barbados, Brazil, Chile, Colombia, Costa Rica, Dominican Republic, El Salvador, Guyana, Haiti, Honduras, Jamaica, Mexico, Panama, Paraguay, Peru, Trinidad and Tobago, and Uruguay. The indicators are divided into five main categories: environment, performance, sustainability, society's preparedness for aging and reform, and pension system design. Each one of these categories are divided into a few subcategories as well. These indicators were constructed with the objective of becoming an important tool for the improvement of the following aspects of pension systems: coverage, sufficiency of benefits, financial sustainability, equity and social solidarity, efficiency, and institutional capacity. An important characteristic of this dataset is the comparability of these indicators since it permits...
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  • Dataset

    By Social Protection and Labor Markets Division (VPS/SCL/SPL)
    This dataset includes data for an analysis of labor demand characteristics and workforce training needs in the metropolitan areas of La Paz-El Alto, Cochabamba, and Santa Cruz—large cities in Bolivia (Related publication only available in Spanish). This information is contrasted with a sample from intermediate and small cities in the country. Labor demand data for large cities comes from a survey of companies conducted in 2015 and 2016, while data for intermediate and small cities is derived from a survey conducted between 2016 and 2017. The document presents key findings on the productive characteristics of cities, company profiles, and workforce dynamics, including recruitment and selection processes, employee turnover, reasons for dismissals, training, demand for and valuation of skills, among other factors. Finally, it outlines policy implications for Bolivia’s labor market.
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