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Territory Impact on the Performance of Spanish Vacation Hotels

Author

Listed:
  • Bartolomé Marco-Lajara
  • Mercedes Úbeda-García
  • Vicente Sabater-Sempere
  • Francisco García-Lillo

Abstract

Although Spain is among the world's most visited tourist destinations, not all Spanish regions receive the same flow or number of tourists, and the type of visitor varies from one region to another. This paper analyses the structure of the tourism industry across the six most important tourist regions in Spain. Its main aim is to identify the most relevant factors for each of these regions, explaining the differences between them not only in terms of the number of tourists they receive but also in terms of tourist behaviour. The authors select two theoretical models empirically validated in previous studies: Porter's Diamond model, which helps to explain why the tourism industry is more competitive in some Spanish regions than in others, and the theory of tourist districts, which clarifies why the tourism industry tends to develop in very specific geographical areas.

Suggested Citation

  • Bartolomé Marco-Lajara & Mercedes Úbeda-García & Vicente Sabater-Sempere & Francisco García-Lillo, 2014. "Territory Impact on the Performance of Spanish Vacation Hotels," Tourism Economics, , vol. 20(4), pages 779-796, August.
  • Handle: RePEc:sae:toueco:v:20:y:2014:i:4:p:779-796
    DOI: 10.5367/te.2013.0301
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    References listed on IDEAS

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    Citations

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    Cited by:

    1. Boto-García, David & Mayor, Matías, 2022. "Domestic tourism and the resilience of hotel demand," Annals of Tourism Research, Elsevier, vol. 93(C).
    2. Manuela Presutti & Marco Savioli & Vincenza Odorici, 2020. "Strategic orientation of hotels: Evidence from a contingent approach," Tourism Economics, , vol. 26(7), pages 1212-1230, November.
    3. José Solana-Ibáñez & Manuel Caravaca-Garratón & Lorena Para-González, 2016. "Two-Stage Data Envelopment Analysis of Spanish Regions: Efficiency Determinants and Stability Analysis," Contemporary Economics, University of Economics and Human Sciences in Warsaw., vol. 10(3), September.
    4. Marco-Lajara, Bartolomé & Claver-Cortés, Enrique & Úbeda-García, Mercedes & Zaragoza-Sáez, Patrocinio del Carmen, 2016. "A dynamic analysis of the agglomeration and performance relationship," Journal of Business Research, Elsevier, vol. 69(5), pages 1874-1879.
    5. Lee, Yong-Jin Alex & Jang, Seongsoo & Kim, Jinwon, 2020. "Tourism clusters and peer-to-peer accommodation," Annals of Tourism Research, Elsevier, vol. 83(C).
    6. Ibrahim Mohammed & Basak Denizci Guillet & Rob Law, 2019. "Modeling dynamic price dispersion of hotel rooms in a spatially agglomerated tourism city for weekend and midweek stays," Tourism Economics, , vol. 25(8), pages 1245-1264, December.
    7. Francisca J. Sánchez-Sánchez & Ana M. Sánchez-Sánchez, 2024. "Evaluating the efficiency and determinants of mass tourism in Spain: a tourist area perspective," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 23(1), pages 111-145, January.
    8. Raúl Tarazona-Montoya & Marta Peris-Ortiz & Carlos Devece, 2020. "The Value of Cluster Association for Digital Marketing in Tourism Regional Development," Sustainability, MDPI, vol. 12(23), pages 1-18, November.

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