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showing 10 items of 213 documents

Determinants of COVID-19 Vaccine Rollouts and Their Effects on Health Outcomes

2022

Background Vaccination against the coronavirus disease (SARS-CoV-2) is understood to be the key way out of the COVID-19 pandemic. Limited evidence exists on the determinants of vaccine rollouts and their health effects at the country level. Objective Examine the determinants of COVID-19 vaccine rollouts and their effects on health outcomes. Methods Ordinary least squares regressions with standard errors clustered at the country level for Cross-section and Panel daily data of vaccinations and various health outcomes (new COVID-19 cases, fatalities, intensive care unit (ICU) admissions) for an unbalanced sample of about 200 countries during the period 16 December 2020 to 20 June 2021. Results…

Economics and Econometricsand (iii) COVID-19 cases in neighboring countries can lead to an increase in a country's domestic caseload and hamper efforts in taming its own local outbreak. Conclusions: By providing an early broad overview of the quantitative empirical estimates of the determinants of vaccine rollouts and the effects of COVID-19 vaccines our paper can help policymakers make informed decisions about local and global distributions of vaccines as well as related policy tools such as containment measure.Coronavirus disease 2019 (COVID-19)business.industryHealth PolicyNational accountsOutbreakGeneral Medicine(ii) vaccine deployment significantly reduces new COVID-19 infections Intensive Care Unit (ICU) admissions and fatalities and is more effective when coupled with stringent containment measures or when a country is experiencing a large outbreakVaccination against the coronavirus disease (SARS-CoV-2) is understood to be the key way out of the COVID-19 pandemic. Limited evidence exists on the determinants of vaccine rollouts and their health effects at the country level. Objective: Examine the determinants of COVID-19 vaccine rollouts and their effects on health outcomes. Methods: Ordinary least squares regressions with standard errors clustered at the country level for Cross-section and Panel daily data of vaccinations and various health outcomes (new COVID-19 cases fatalities intensive care unit (ICU) admissions) for an unbalanced sample of about 200 countries during the period 16 December 2020 to 20 June 2021. Results: We find evidence that: (i) early vaccine procurement domestic production of vaccines the severity of the pandemic a country's health infrastructure and vaccine acceptance are significant determinants of the speed of vaccination rolloutHealth outcomesIntensive care unitlaw.inventionVaccinationProcurementlawEnvironmental healthPandemicGeneral Earth and Planetary SciencesMedicinebusinessGeneral Environmental ScienceIMF Working Papers
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Maintance by water-cleaning and efficiency reduction of pv panels

2019

With the increase in the use of solar energy, both in civil and industrial environments, the problem of maintenance of photovoltaic panels becomes extremely important. In this work attention is restricted to the problem of cleaning and safety conditions of the photo-voltaic (PV) panels and a brief review of main effects determining their efficiency reduction are reported. The discussion related to problems and unsafe functioning conditions concludes this paper.

Energy Solar panels Water maintance Safety
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Mechanical Tests on Innovative BIPV Façade Components for Energy, Seismic, and Aesthetic Renovation of High-Rise Buildings

2018

The paper shows the results of mechanical tests carried out on prototypes of a new Building Integrated Photovoltaic (BIPV) component developed by the author and SBskin Smart Building Skin s.r.l. This patented innovative component is able to merge structural function, insulation proprieties, and production of clean energy for retrofit actions and/or the construction of translucent fa&ccedil

Engineering020209 energyGeography Planning and DevelopmentTJ807-830Settore ICAR/10 - Architettura Tecnica02 engineering and technologyManagement Monitoring Policy and Law010402 general chemistryTD194-19501 natural sciencesRenewable energy sourcesPrecast concreteinnovative product0202 electrical engineering electronic engineering information engineeringGE1-350translucent panelenergy efficiencyBuilding automationBIPV (Building Integrated Photovoltaic)Environmental effects of industries and plantsRenewable Energy Sustainability and the Environmentbusiness.industryPhotovoltaic systemhigh-rise buildingdry-assembly systemStructural engineeringmultifunctional component0104 chemical sciencesRenewable energybuilding envelopeEnvironmental sciencesFacadefaçadeBuilding-integrated photovoltaicsmechanical resistancebusinessBuilding envelopeEfficient energy use
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An efficient analytical approach for obtaining a five parameters model of photovoltaic modules using only reference data

2013

Exploiting the equivalent one-diode circuit of a photovoltaic (PV) module, this paper proposes a novel and fully analytical model to predict the electrical performance upon solar irradiance intensity and PV module temperature. The model refers essentially to an equivalent circuit governed by five parameters and the extraction of them permits to describe the current–voltage curve of the PV panel and consequently permits to assess the energy output of PV modules. The proposed model extracts the five characteristic parameters using only exact analytical relationship and tabular data always available such as short-circuit current, open circuit voltage and the Maximum Power Point (MPP). The diff…

EngineeringMathematical optimizationSettore ING-IND/11 - Fisica Tecnica AmbientaleOptimization problemMaximum power principlebusiness.industryMechanical EngineeringPhotovoltaic systemReference data (financial markets)Building and ConstructionManagement Monitoring Policy and LawSystem of linear equationsSizingGeneral EnergyEquivalent circuitPhotovoltaic panel five parameter model reference data I-V characteristicbusinessAlgorithmEnergy (signal processing)Applied Energy
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Energy and CO2 life cycle inventory issues for aluminum based components: The case study of a high speed train window panel

2016

Abstract As materials production and transport are two relevant sectors in terms of global environmental impact, over the last years environmental impact analyses (mainly life cycle based analyses) of material replacing strategies in means of transportation were developed. Life cycle approach allows to consider the light-weighing benefit without neglecting the environmental impact of material production. In the present research energy and CO2 emissions life cycle analysis of a real case study is presented. Industrial data, experimental measurements and literature analysis were used to develop the life cycle analysis of an aluminum window panel to be assembled on an Italian high speed train.…

EngineeringWindow train panelAluminum alloyOperations researchStrategy and ManagementSolid-state010501 environmental sciences01 natural sciencesIndustrial and Manufacturing EngineeringLife cycle inventoryLife cycle assessmentProduction (economics)Environmental impact assessmentRelevance (information retrieval)RecyclingLife-cycle assessmentSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazione0505 law0105 earth and related environmental sciencesGeneral Environmental ScienceComparative analysiRenewable Energy Sustainability and the Environmentbusiness.industry05 social sciencesWindow (computing)Manufacturing engineering050501 criminologybusinessEnergy (signal processing)
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Investigating the role of environmental taxes and regulations for renewable energy consumption: evidence from developed economies

2021

The current study aims to explore the role of environmental taxes and regulations for the renewable energy consumption, focusing on reporting policy suggestions to overcome climate change issues and achieve environmental sustainability. The main objective of this paper is to examine the relation between renewable energy, environmental taxes, environmental technologies, and environmental regulations in 29 OECD countries during 1996–2018. More precisely, we inspect the impact of the environmental regulations and environmental technologies on the renewable energy consumption. The authors employ CIPS and CADF unit root tests, panel Westerlund co-integration test, FMOLS, and Quantile regression …

Environmental taxes; environmental technology; renewable energy consumption; financial development; OECD countries; panel quantile regressionEconomics and Econometricsfinancial developmentNatural resource economicsClimate changeEconomic growth development planningOecd countriesRenewable energy consumptionFinancial developmentenvironmental taxesEnvironmental technologyoecd countriesRegional economics. Space in economicsrenewable energy consumptionHT388panel quantile regressionHD72-88environmental technologysense organsBusinessEconomic Research-Ekonomska Istraživanja
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The Euro-Dollar Exchange Rate: Is it Fundamental?

2002

In this paper we have applied two approaches to the study of the dollar real exchange rate in relation with the Euro-area currencies. First, using dynamic panel techniques, we estimate an error correction model for the dollar real exchange rate versus seven developed countries, four of them Euro-area members. Second, we aggregate the European variables and estimate a model for the Euro-dollar real exchange rate using time series techniques. After identification and model selection, the same specification can be adopted in the two cases, in an eclectic model including real interest rate and productivity differentials, together with relative fiscal policy and net foreign asset positions. This…

Error correction modelExchange rateInterest rate parityreal exchange rate cointegration time-series panel dollar Euro-zoneCointegrationModel selectionEconomicsLiberian dollarContext (language use)Monetary economicsReal interest rateSSRN Electronic Journal
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Modeling temporal treatment effects with zero inflated semi-parametric regression models: The case of local development policies in France

2017

International audience; A semi-parametric approach is proposed to estimate the variation along time of the effects of two distinct public policies that were devoted to boost rural development in France over a similar period of time. At a micro data level, it is often observed that the dependent variable, such as local employment, does not vary along time, so that we face a kind of zero inflated phenomenon that cannot be dealt with a continuous response model. We introduce a conditional mixture model which combines a mass at zero and a continuous response. The suggested zero inflated semi-parametric statistical approach relies on the flexibility and modularity of additive models with the abi…

FOS: Computer and information sciencesEconomics and EconometricsLocal Developmentsemiparametric regressiondifferencePublic policyselection01 natural sciencesStatistics - Applicationslocal developmentpanel data010104 statistics & probabilityEconomica0502 economics and businessEconometricsApplications (stat.AP)0101 mathematics[MATH]Mathematics [math]Additive modelsemi-parametric regressionenterprise zonespropensity scoreJEL Classification: C14 C23 C54 O18050205 econometrics Mathematicsinferencesmoothing parametertemporal effects05 social sciencesSH1_2SH1_6multiple treatmentspolicy evaluation[SHS.ECO]Humanities and Social Sciences/Economics and FinanceZero (linguistics)Rural developmentVariation (linguistics)asymptoticsmixture of distributionsSemi parametric regressionAdditive modelsPanel dataAdditive models; local development; mixture of distributions; multiple treatments; panel data; policy evaluation; semiparametric regression; temporal effects
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An ensemble approach to short-term forecast of COVID-19 intensive care occupancy in Italian Regions

2020

Abstract The availability of intensive care beds during the COVID‐19 epidemic is crucial to guarantee the best possible treatment to severely affected patients. In this work we show a simple strategy for short‐term prediction of COVID‐19 intensive care unit (ICU) beds, that has proved very effective during the Italian outbreak in February to May 2020. Our approach is based on an optimal ensemble of two simple methods: a generalized linear mixed regression model, which pools information over different areas, and an area‐specific nonstationary integer autoregressive methodology. Optimal weights are estimated using a leave‐last‐out rationale. The approach has been set up and validated during t…

FOS: Computer and information sciencesStatistics and ProbabilityTime FactorsOccupancyCoronavirus disease 2019 (COVID-19)Computer science01 natural sciencesGeneralized linear mixed modelSARS‐CoV‐2law.inventionclustered data; COVID-19; generalized linear mixed model; integer autoregressive; integer autoregressive model; panel data; SARS-CoV-2; weighted ensembleMethodology (stat.ME)panel data010104 statistics & probability03 medical and health sciences0302 clinical medicinelawCOVID‐19Intensive careEconometricsHumansclustered data030212 general & internal medicine0101 mathematicsPandemicsStatistics - MethodologySARS-CoV-2Reproducibility of ResultsCOVID-19General Medicineweighted ensembleIntensive care unitResearch PapersTerm (time)integer autoregressiveIntensive Care UnitsAutoregressive modelItalyNonlinear Dynamicsgeneralized linear mixed modelinteger autoregressive modelclustered data; COVID-19; generalized linear mixed model; integer autoregressive; integer autoregressive model; panel data; SARS-CoV-2; weighted ensemble; COVID-19; Humans; Intensive Care Units; Italy; Nonlinear Dynamics; Pandemics; Reproducibility of Results; Time Factors; ForecastingStatistics Probability and UncertaintySettore SECS-S/01Settore SECS-S/01 - StatisticaPanel dataResearch PaperForecasting
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Elogios del santo rey Don Fernando : puestas en el sepulcro de Sevilla en hebreo y arabigo ... / por ... Henrique Florez ... del Gran Padre S. August…

1754

Caplletres ornades, vinyetes Sign. : A-C4, D3 Reclams

Ferran III rei de Castella sant Panegírics Obres anteriors a 1800
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