Comparative analysis of the accommodation capacities in selected European tourist destinations

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This study aims to analyze the business view concerning the using the accommodation capacities in some central European countries, i.e. Austria, the Czech Republic and Slovakia in the NUTS-2 regional scope. The special attention is paid to Spain. The research is based on annual post-global economic crisis data. The authors apply a specific partial least squares (PLS) variant of multivariate methods, which relates many fundamental and derived tourism variables due to particular attention to using a weighting procedure. The authors determined that in order to encompass the territory predetermination for the best fit the changed conditions, the majority of significant cities have very good dynamics in capacity parameters and overnights for increasing the offers being greatly supplied by the annual changing number of visitors. However, Spain is substantially different from the other regions analyzed, forming ultimate conditions for mutual comparison. Moreover, the tracks of turning visitors into capital or significant cities, especially associated with the close natural attractions, are substantiated. The tourist’s resource potential specific only to the target region as well as relevant additional potential origins are examined on the sample of countries. Covering tourism as the world’s leading industry directly connected to accommodation tasks and a unique period examined, the results of this study can be used to formulate policy guidelines as well as to solve the tasks of attracting tourism and promote supply.

Acknowledgment
This research was funded by the Grant Agency of Academic Alliance under Grant Agreement number GA/13/2018.

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    • Figure 1. Differences of centroids in PLS variant of linear discriminant analysis
    • Table 1. Capacity for the selected Central European countries on descriptive statistics, principal component analysis, and discriminant results
    • Table 2. Capacity for mainland Spain on descriptive statistics, principal component analysis, and discriminant results
    • Table 3. Selected Central European countries for PLS coefficients of accommodation capacity vs. overnights and weights
    • Table 4. Mainland Spain for PLS coefficients of accommodation capacity vs. overnights and weights
    • Table 5. Selected Central European countries for PLS coefficients of capacity vs. length of stay and non-residents share
    • Table 6. Mainland Spain for PLS coefficients of capacity vs. length of stay and non-residents share
    • Conceptualization
      Lukáš Malec, Iveta Hamarneh, Jaroslav Poživil, Antonín Pavlíček
    • Data curation
      Lukáš Malec, Iveta Hamarneh, Jaroslav Poživil, Antonín Pavlíček
    • Formal Analysis
      Lukáš Malec, Iveta Hamarneh, Jaroslav Poživil, Antonín Pavlíček
    • Funding acquisition
      Lukáš Malec, Iveta Hamarneh
    • Investigation
      Lukáš Malec, Iveta Hamarneh, Jaroslav Poživil, Antonín Pavlíček
    • Methodology
      Lukáš Malec
    • Project administration
      Lukáš Malec
    • Resources
      Lukáš Malec, Iveta Hamarneh, Jaroslav Poživil, Antonín Pavlíček
    • Software
      Lukáš Malec, Jaroslav Poživil
    • Supervision
      Lukáš Malec, Iveta Hamarneh, Jaroslav Poživil, Antonín Pavlíček
    • Validation
      Lukáš Malec, Antonín Pavlíček
    • Visualization
      Lukáš Malec
    • Writing – original draft
      Lukáš Malec, Iveta Hamarneh, Jaroslav Poživil, Antonín Pavlíček
    • Writing – review & editing
      Lukáš Malec