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    Por favor, use este identificador para citar o enlazar este ítem:https://uvadoc.uva.es/handle/10324/48954

    Título
    Clustering and country destination performance at a global scale: Determining factors of tourism competitiveness
    Autor
    Gómez Vega, MafaldaAutoridad UVA Orcid
    Herrero Prieto, Luis CésarAutoridad UVA Orcid
    Valdivia López, Marcos
    Año del Documento
    2021
    Editorial
    SAGE
    Documento Fuente
    Tourism Economics, 2021, p. 1-21
    Resumen
    Our aim is to evaluate the efficiency of tourist destinations at a global scale, considering 140 countries and drawing on World Economic Forum 2019 data. The approach follows three stages. First, we try to solve the problem of sample heterogeneity through cluster analysis to obtain homogeneous groups of countries. Second, we apply data envelopment analysis to evaluate countries’ efficiency as tourist destinations, considering a territorially based virtual production function which optimizes the flow of revenue from international tourism grounded on a set of inputs such as accommodation capacity, employment of tourist sector and volume of tourist arrivals. Finally, we identify which external factors might determine tourism efficiency by using bootstrap truncated regression analysis. We obtain two groups of countries which evidence differential levels of competitiveness. Rather than natural resources, cultural heritage in a broad sense seems to act as factor that enhances tourism efficiency.
    Revisión por pares
    SI
    DOI
    10.1177/13548166211007598
    Patrocinador
    Regional Ministry of Education at the Regional Government of Castile and Leon (project no. VA012G19)
    Version del Editor
    https://journals.sagepub.com/doi/full/10.1177/13548166211007598
    Propietario de los Derechos
    © 2021 The Authors
    Idioma
    eng
    URI
    https://uvadoc.uva.es/handle/10324/48954
    Tipo de versión
    info:eu-repo/semantics/publishedVersion
    Derechos
    openAccess
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