Search results for " Statistica economica"

showing 10 items of 149 documents

Sustainable tourist development in Italian holiday destinations

2008

This paper argues that tourism, will become a major activity in a modern welfare state, which will have serious consequences for environmental sustainability. This issue calls for an assessment of the pros and cons of the ecological efficiency of tourism. We propose an overall efficiency indicator that comprises both a sustainable tourism index and an economic efficiency index. Based on a data set for Italian provinces and using Activity Analysis, a quantitative assessment of the relative position of Italian tourist destination areas is made from the perspective of sustainable tourism. Copyright © 2008 Inderscience Enterprises Ltd.

Economic efficiencySustainable Tourism DestinationStrategy and ManagementEcological efficiencyDestinationsGeneralLiterature_MISCELLANEOUSjel:L83Data Envelopment AnalysiRegional sciencejel:Q26Activity Analysis; Data Envelopment Analysis; Sustainable Tourism Destination; Tourist PerformanceSustainable tourismMarketingSustainable developmentTourist Performance.InformationSystems_INFORMATIONSYSTEMSAPPLICATIONSTourism geographyGeneral EngineeringSDG 8 - Decent Work and Economic Growth/dk/atira/pure/sustainabledevelopmentgoals/decent_work_and_economic_growthComputer Science ApplicationsActivity AnalysiEconomySettore SECS-S/03 - Statistica EconomicaSustainabilityBusinessTourism
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Does Tourism Consumption Behaviour Mirror Differences in Living Standards?

2016

Based on the theoretical foundation of well-being measurement, the study explores differences in living standards by analysing the distribution of tourism expenditure. A mixture of regression models is used to explore the heterogeneity in tourism consumption by identifying groups of families with similar tourism consumption behaviour as a function of certain socio-demographic and economic factors. The empirical analysis, performed on Italian expenditure data, suggests that there are three different patterns of consumption behaviour conditional to the socio-demographic and economic covariates in the tourism market and that differences in tourism consumption between groups of households mirro…

Economic growthSociology and Political ScienceInequalitymedia_common.quotation_subjectDistribution (economics)Standard of living01 natural sciencesMixture regression modelTourism market010104 statistics & probabilityArts and Humanities (miscellaneous)0502 economics and businessHuman geographyDevelopmental and Educational PsychologyEconomics050207 economics0101 mathematicsLiving standardsConsumption heterogeneityTourism expenditure distributionMixture regression modelsTourism expenditure distributionmedia_commonConsumption (economics)Living standardPublic economicsbusiness.industry05 social sciencesGeneral Social SciencesRegression analysisSettore SECS-S/03 - Statistica EconomicaConsumption heterogeneitybusinessTourism
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Educational systems efficiency in European Union countries

2011

Abstract We use the PISA 2006 results to analyse students’ proficiency in EU countries with regard to two indexes that represent the home background, viz the educational resources available at home and the family background of students. However, many factors affect proficiency and therefore, using a DEA-bootstrap, we intend to measure the efficiency of the European educational systems as capability to ensure high students’ competencies despite adverse conditions about the educational resources available at home and the family background. Results show an unexpected differentiation among EU countries. In particular, the most developed countries often show disappointing students’ proficiency d…

Economic growtheducational achievementAdverse conditionsPISAAcademic achievementAffect (psychology)EducationInternational educationefficiency analysisPolitical scienceSettore SECS-S/03 - Statistica EconomicaEducational resourcesmedia_common.cataloged_instanceEuropean unionDeveloped countrymedia_commonEducational systemsStudies in Educational Evaluation
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COVID‐19 and tourism: What can we learn from the past?

2020

Abstract The impact of the COVID‐19 crisis on tourism flows is without precedent in terms of speed and severity. In this paper, we try to infer a possible future scenario for the tourism sector, evaluating the medium‐term effects of past pandemics on tourist arrivals. We find that pandemics lead to a persistent decline in tourist arrivals, with the effects being larger in developing and emerging countries. Interestingly, the effects are heterogeneous across countries and episodes, and depend on several economic conditions such as the overall health system performance, the severity of the shock, and the uncertainty induced by the pandemic event.

Economics and Econometrics2019-20 coronavirus outbreakCoronavirus disease 2019 (COVID-19)Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)macromolecular substancespandemicsCOVID‐19Accounting0502 economics and businessDevelopment economicsPandemicEconomics050207 economicsuncertaintyEmerging markets050208 finance05 social sciencesCOVID-19Settore SECS-P/02 Politica EconomicaOriginal ArticlesShock (economics)Settore SECS-S/03 - Statistica EconomicaPolitical Science and International RelationstourismOriginal Articleinternational arrivalshealth systemsFinanceTourismHealthcare systemThe World Economy
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The environmental Kuznets curve within European countries and sectors: greenhouse emission, production function and technology

2018

Based on the environmental Kuznets curve (EKC) hypothesis and the technological change and the environment literature, our original contribution consists in analysing within the decomposition model the direct and indirect influence of technological change as well as the energy mix on CO2 emissions. Focusing on the dirtiest sectors of 25 EU countries in the period 1997-2005 and considering the endogeneity issue, we estimate an adjusted EKC relationship comparing a single equation model (univariate model) with a simultaneous equations system (bivariate model). Following Lopez (J Environ Econ Manag 27:163-184, 1994), a second equation is introduced where per capita income is a positive functio…

Economics and EconometricsSociology and Political ScienceR&ampScale effect020209 energyD expenditureAir pollution202 engineering and technologyGross domestic productPhysical capitalKuznets curveemissionTechnique effect0202 electrical engineering electronic engineering information engineeringEconometricsEconomicsAir Pollution Environmental Kuznets curve; Technological progress; Structural change; Environmental policy sustainable development; CO2 emissionComposition effectProductivityInput/energy mix effectTechnological changeSimultaneous equations modelCOEconomyjel:Q55Greenhouse gasEnvironmental Kuznets curveSettore SECS-S/03 - Statistica Economicajel:Q53EU countrieEnergy sourceFinance
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Geographical distribution of crime in Italian provinces: a spatial econometric analysis

2009

For a long time social sciences scholars from different fields have devoted their attention to identifying the causes leading to commit criminal offences and recently lots of studies have included the analysis of spatial effects. Respect to the Italian crime phenomenon some stylized facts exist: high spatial and time variability and presence of “organised crime” (e.g. Mafia and Camorra) deep-seated in some local territorial areas. Using explanatory spatial data analysis, the paper firstly explores the spatial structure and distribution of four different typologies of crimes (murders, thefts, frauds, and squeezes) in Italian provinces in two years, 1999 and 2003. ESDA allows us to detect som…

Economics and EconometricsStylized factbusiness.industryGeography Planning and DevelopmentDistribution (economics)jel:C21Commitjel:K42GeographyOrder (exchange)Settore SECS-S/03 - Statistica EconomicaCrime Spatial EconometricsDeterrence (legal)Spatial econometricsOrganised crimeEconomic geographybusinessSpatial analysisSocial Sciences (miscellaneous)Jahrbuch für Regionalwissenschaft
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Assessment of Sustainable Well-being in the Italian Regions: An Activity Analysis Model

2018

Applying the theoretical framework of productive analysis, the paper proposes an evaluation of regional sustainable well-being (SWB) in terms of efficiency. By means of an Activity Analysis Model (AA) (Fare et al., 1996), desirable and undesirable outcomes of development have been simultaneously used to evaluate the sustainable well-being of Italian regions. Data on equal and sustainable well-being provided by the Italian Statistical Office for the year 2010 has been used. The analysis reveals that only four regions achieve sustainable well-being, balancing socio-economic and environmental outcomes and resources. Finally, the study points out the advantages of AA for policy purposes by comp…

Economics and Econometricsbusiness.industrySustainable well-being Activity Analysis EfficiencyEnvironmental resource management0211 other engineering and technologies021107 urban & regional planning02 engineering and technology010501 environmental sciencesComposite indicatorEnvironmental economics01 natural sciencesSettore SECS-S/06 -Metodi Mat. dell'Economia e d. Scienze Attuariali e Finanz.Well-beingSettore SECS-S/03 - Statistica Economicabusiness0105 earth and related environmental sciencesGeneral Environmental Science
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Entrepreneurship and space. A decomposition analysis on Italian data

2011

Entrepreneurship Spatial inequality Decomposition indexSettore SECS-S/03 - Statistica Economica
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The atractiveness and competitiveness of tourist destinations: A study on Southern Italian regions

2009

The present paper aims to assess the relative attractiveness of competing tourist destinations on the basis of individual visitors' perceptions regarding a holiday destination. Using the feeling of tourist well-being achieved by individual tourists we evaluate indirectly the competitive ability of the tourist area to offer a compound tourist site attractiveness. The methodology employed here uses individual survey questionnaires on the tourists' evaluation of the quality of tourist facilities and attributes in a given area (the 'regional tourist profile') as the basis for constructing an aggregate expression for the relative attractiveness of that area. Using various multidimensional statis…

EstimationAttractivenessTourist competitiveneStrategy and Managementmedia_common.quotation_subjectPrincipal component analysisTransportationResource based view Multi-attribute utilityDevelopmentTourist attractiveneGeographyTourism Leisure and Hospitality ManagementSettore SECS-S/03 - Statistica EconomicaResource-based viewRegional scienceMulti-attribute utilityTourist destinationsQuality (business)MarketingTourismmedia_commonTourism Management
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Adaptive independent sticky MCMC algorithms

2018

In this work, we introduce a novel class of adaptive Monte Carlo methods, called adaptive independent sticky MCMC algorithms, for efficient sampling from a generic target probability density function (pdf). The new class of algorithms employs adaptive non-parametric proposal densities which become closer and closer to the target as the number of iterations increases. The proposal pdf is built using interpolation procedures based on a set of support points which is constructed iteratively based on previously drawn samples. The algorithm's efficiency is ensured by a test that controls the evolution of the set of support points. This extra stage controls the computational cost and the converge…

FOS: Computer and information sciencesMathematical optimizationAdaptive Markov chain Monte Carlo (MCMC)Monte Carlo methodBayesian inferenceHASettore SECS-P/05 - Econometrialcsh:TK7800-8360Machine Learning (stat.ML)02 engineering and technologyBayesian inference01 natural sciencesStatistics - Computationlcsh:Telecommunication010104 statistics & probabilitysymbols.namesakeAdaptive Markov chain Monte Carlo (MCMC); Adaptive rejection Metropolis sampling (ARMS); Bayesian inference; Gibbs sampling; Hit and run algorithm; Metropolis-within-Gibbs; Monte Carlo methods; Signal Processing; Hardware and Architecture; Electrical and Electronic EngineeringGibbs samplingStatistics - Machine Learninglcsh:TK5101-67200202 electrical engineering electronic engineering information engineeringComputational statisticsMetropolis-within-GibbsHit and run algorithm0101 mathematicsElectrical and Electronic EngineeringGaussian processComputation (stat.CO)MathematicsSignal processinglcsh:Electronics020206 networking & telecommunicationsMarkov chain Monte CarloMonte Carlo methodsHardware and ArchitectureSignal ProcessingSettore SECS-S/03 - Statistica EconomicasymbolsSettore SECS-S/01 - StatisticaStatistical signal processingGibbs samplingAdaptive rejection Metropolis sampling (ARMS)EURASIP Journal on Advances in Signal Processing
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