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  • Dataset

    Par Agriculture and Rural Development Division (VPS/PTI/ARD)
    Agrimonitor is the IDB Product Support Estimates (PSE) country-level database for Latin American and Caribbean countries. It enables policy makers and policy analysts to track agricultural policies and to assess and measure the composition of the support to agriculture. PSE indicators related to magnitudes and composition help to better describe and address the key challenges facing agriculture in the coming decade.
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  • Dataset

    Par Division de l'Agriculture et du Développement Rural (VPS/PTI/ARD)
    Cette base de données compile des statistiques normalisées et actualisées sur la productivité agricole et l’utilisation des intrants dans différents pays, en couvrant des données annuelles sur la production agricole, les indices d’intrants et la répartition des facteurs. La plupart des indices proviennent de la base de données sur la Productivité Agricole Internationale (IAP) de l’USDA, fournie par le Service de recherche économique (ERS), tandis que d’autres — tels que les indices de Productivité Totale des Facteurs (PTF) de Hicks-Moorsteen, Fare-Primont et Lowe — sont calculés par nos soins à partir des mêmes données de base de l’USDA. Cette base de données comprend plusieurs indices de PTF ainsi que des indices désagrégés pour le travail, la terre, le capital, les matériaux, la machinerie, le bétail, les engrais et les aliments, dont beaucoup sont indexés à une année de référence de 2015. Elle comprend également des données sur la valeur et la quantité des ressources agricoles...
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  • Dataset

    Par Department of Research and Chief Economist (VPS/RES/RES)
    Medium Term Fiscal Frameworks (MTFs) have become one of the most popular reforms to the budgetary process in Latin America during the last decade, and introducing MTFs seemed to be the magic solution for most fiscal ailments. Nonetheless, there has been no comprehensive evaluation of their impact. This document discusses the normative merits of using MTFs, provides a characterization of the different types of MTF, and describes their development in the Latin American region based on extensive field work. As a first approximation for understanding how they are working, this document explores in detail the cases of Argentina, Colombia and Peru. While an unambiguous diagnosis is not possible, this document lays the groundwork for progress toward comprehensive impact evaluations and, eventually, to the consolidation of MTFs in the region.
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  • Dataset

    Par Productivity, Trade and Innovation Sector (VPS/PTI/PTI)
    The Institute for the Integration of Latin America and the Caribbean (INTAL) of the Integration and Trade Sector of the Inter-American Development Bank (IDB) conducted this survey of Latin American and Caribbean (LAC) companies that export both within the region and outside the region. The objective of the analysis is to understand how their exports are evolving, what problems they face, what measures they have taken, what public support policies they have received, and what the prospective vision of the companies is.
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  • Dataset

    Par Water and Sanitation Division (VPS/INE/WSA)
    The OLAS Simplified GLAAS for LAC dataset provides information on water and sanitation governance in 30 countries across Latin America and the Caribbean (LAC) from 2018 and 2021. The data is from the UN-Water Global Analysis and Assessment of Sanitation and Drinking-Water (GLAAS), which is a global survey carried out by UN Water and the World Health Organization (WHO) that collects country-level information on provision of water, sanitation, and hygiene services. The survey covers topics like governance, monitoring, finance, and human resources in the sector. This simplified version of the dataset contains information relevant to WASH governance in LAC. Additional data can be found in the GLAAS Data Portal: https://glaas.who.int/ Source: WHO, UN-Water Global Analysis and Assessment of Sanitation and Drinking-Water, 2018-19 and 2021-22, accessed April 2023. With acknowledgement of the countries in Latin America and the Caribbean who contributed to this survey.
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