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Energy and Mining

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  • Dataset

    By Department of Research and Chief Economist (VPS/RES/RES)
    This is the data used for the estimation of the GVAR model as in "China's Emergence in the World Economy and Business Cycles in Latin America" (access the study in the related URL Section). The dataset includes quarterly data for twenty-five major advanced and emerging economies plus the euro area, covering more than 90 percent of world GDP. The variables included in the dataset are real GDP, CPI inflation, real equity prices, real exchange rates, short-term and long-term interest rates, and the price of oil. Updates of this dataset -together with the baseline GVAR code- can be found in the Related URL section below. Years covered: 1979 - 2009.
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  • Dataset

    By Energy Division (VPS/INE/ENE)
    What do we know about the effects of improved access to electricity? Does the research tell a unified story? To answer these questions, this brief examines 50 impact evaluation studies, focusing on the effects of electrification on education, labor, and income indicators. Overall, the literature finds substantial welfare gains, which tend to be greatest for women and small firms. On average, electrification leads increases of around 7% in school enrollment, 25% in employment, and 30% in incomes. However, the estimates vary widely, with many studies finding no effects, indicating weak links in the empirical literature. This review suggests that addressing the sources of such variance could be a means to fill the persistent knowledge gaps and to improve the effectiveness of electrification policies.
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  • Dataset

    By IDB Lab (IDB Lab)
    This benchmarking index is a learning tool that evaluates the legal, regulatory and operating environments for Public Private Partnerships (PPPs) in transport, water/sanitation and electricity infrastructure for 19 Latin American and Caribbean countries. The analysis and scores in the model provide a comparable assessment of individual countries' readiness and facility for PPP project design and implementation. For the purpose of this index, PPP refers specifically to projects which involve a long-term contract between a public-sector body and a private-sector entity for the design, construction (or upgrading), operation and maintenance of public infrastructure; with finance usually provided by, and significant construction, operation and maintenance risks transferred to, the private-sector, which also bears either availability or demand risk; but with the public sector remaining responsible for policy oversight and regulation; and the infrastructure generally reverting to public-...
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  • Dataset

    By Office of Strategic Planning and Development Effectiveness (STC/SPD/SPD)
    These data were collected for the evaluation of a field trial in Mexico in which a quasi-random sample of new homes was provided with insulation and other energy efficiency upgrades. The field trial took place in a large housing development in Northeast Mexico in the state of Nuevo Leon. The evaluation survey includes a rich set of demographic, socioeconomic, and electricity variables. Temperature and humidity measurements from data loggers were also recorded.
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  • Dataset

    By Climate Change Solutions Division (VPS/CSD/CCS)
    At the IDBG Annual Meeting in 2016, the Board of Governors resolved to endorse the goal of increasing the financing of climate change related projects in LAC to 30% of the IDB’s and IIC’s combined total approvals operations by 2020, subject to demand from borrowing countries and clients and access to external sources of concessional financing. During 2018, the IDB Group invested approximately US$5 billion in climate finance; that is, in 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 27% of the IDB Group’s total approvals. Please note that only data from IDB and IDB Lab are available in this dataset.
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