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A regionalized IO-model to value seasonal recreational ecosystem services in a mountain National Park in Spain

Journal of Mountain Science 2022年第1期19卷 211-227页

作者： víctor martin barroso Mónica de CASTRO-PARDO Pascual FERNÁNDEZ MARTÍNEZ João C.AZEvEDO Department of Applied Economics I and history and economic institutions Faculty of Law and Social SciencesUniversidad Rey Juan CarlosCampus of VicálvaroTulipanMóstoles 28933Spain Department of Financial and Actuarial Economics and Statistics-Statistics and Operational Research Complutense University of MadridCampus of SomosaguasPozuelo de Alarcon 28223Spain Centro de Investigação de Montanha Instituto Politécnico de BragançaCampus de Santa ApolóniaBragança 5300-253Portugal

Recreational Ecosystem Services(RES)are among the most frequently evaluated ecosystem *** are seen as a major opportunity for sustainable development in areas of high ecological value resulting from the presence of emblematic species,habitats or scenery,often integrated in conservation areas,in particular in mountain areas affected by depopulation,rising environmental risks and ***,the assessment of RES has been based on Contingent valuation and Choice Experiments,methods with limitations related to their ***,Input-Output(IO)models provide a very accurate and effective way of valuation of RES with regional information regarding interindustry *** data on nature tourist expenditure may be only available annually,tourism inflows have a strong seasonal behavior,which impacts the profitability of several local economic *** this paper,we firstly constructed a novel regionalized IO-model based on Cross-Industry Location Quotients using employment data and,secondly,based on Monte Carlo simulation,we estimated nature tourist expenditure monthly using data on nature tourism *** method allowed for a more precise RES evaluation,estimating direct,indirect and induced monthly economic impacts of nature-based *** method was applied to the Ordesa and Monte Perdido(OMP)National Park in the Spanish *** estimate the average tourist expenditure,we collected and analyzed spending on commerce,hospitality and restaurants,leisure,and transport of 385 *** suggest that using a regionalized IO model leads to a considerable reduction of over-estimation of the economic impact of tourist expenditure estimated by conventional *** into consideration the direct,indirect and induced effects of tourist expenditure in 2016-2018,the total annual output effect in the OMP National Park amounted to€208.8 million,while the total income effect amounted to€86.29 ***,a total of

关键词： Input-Output Monte Carlo Simulation Location quotients Recreational Ecosystem Services Nature tourism Sustainable mountain development

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