IDEAS home Printed from https://ideas.repec.org/a/nax/conyad/v64y2019i1p23-24.html
   My bibliography  Save this article

Las corporaciones hoteleras españolas: determinantes internos y externos de su desempeño

Author

Listed:
  • Rubén Lado-SestayoAuthor-Email: mila.vivel@usc.es

    (Universidad de La Coruña, España)

  • Milagros Vivel-Búa

    (Universidad de Santiago de Compostela, España)

Abstract

Este trabajo realiza un estudio empírico de los determinantes del desempeño de los grupos hoteleros españoles. La muestra de análisis está formada por 1,019 establecimientos hoteleros afiliados a corporaciones hoteleras y el horizonte temporal es 2005-2011. Los resultados denotan que los factores característicos de la demanda de servicios hoteleros y de la estructura del mercado afectan significativamente al desempeño. Ello subraya la importancia de la gestión del punto turístico donde se localiza. Asimismo, también destaca, a nivel de hotel, el efecto obtenido para variables representativas de la cuota de mercado que éste tiene, su nivel de activo y su volumen de deuda. Por tanto, los gestores del hotel y del destino son responsables del desempeño hotelero.

Suggested Citation

  • Rubén Lado-SestayoAuthor-Email: mila.vivel@usc.es & Milagros Vivel-Búa, 2019. "Las corporaciones hoteleras españolas: determinantes internos y externos de su desempeño," Contaduría y Administración, Accounting and Management, vol. 64(1), pages 23-24, Enero-Mar.
    • Handle: RePEc:nax:conyad:v:64:y:2019:i:1:p:23-24
    as

    Download full text from publisher

    File URL: http://www.cya.unam.mx/index.php/cya/article/view/1427/1346
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ridderstaat, Jorge & Oduber, Marck & Croes, Robertico & Nijkamp, Peter & Martens, Pim, 2014. "Impacts of seasonal patterns of climate on recurrent fluctuations in tourism demand: Evidence from Aruba," Tourism Management, Elsevier, vol. 41(C), pages 245-256.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Annie Tubadji & Peter Nijkamp, 2018. "Revisiting the Balassa–Samuelson effect: International tourism and cultural proximity," Tourism Economics, , vol. 24(8), pages 915-944, December.
    2. Francesco Angelini & Paolo Figini & Veronica Leoni, 2024. "High tide, low price? Flooding alerts and hotel prices in Venice," Tourism Economics, , vol. 30(4), pages 876-899, June.
    3. Nikeel Kumar & Ronald Ravinesh Kumar, 2020. "Relationship between ICT and international tourism demand: A study of major tourist destinations," Tourism Economics, , vol. 26(6), pages 908-925, September.
    4. Turrión Prats, Judith & Duro Moreno, Juan Antonio, 2017. "Seasonality Determinants for the Main Markets in Spain," Working Papers 2072/306517, Universitat Rovira i Virgili, Department of Economics.
    5. Shang, Yunfeng & Lian, Yi & Chen, Hui & Qian, Fangbin, 2023. "The impacts of energy resource and tourism on green growth: Evidence from Asian economies," Resources Policy, Elsevier, vol. 81(C).
    6. Wanvilai Chulaphan & Jorge Fidel Barahona, 2021. "The Determinants of Tourist Expenditure Per Capita in Thailand: Potential Implications for Sustainable Tourism," Sustainability, MDPI, vol. 13(12), pages 1-14, June.
    7. Robertico Croes & Jorge Ridderstaat, 2017. "The effects of business cycles on tourism demand flows in small island destinations," Tourism Economics, , vol. 23(7), pages 1451-1475, November.
    8. Laila Shahzad & Ajwa Tahir & Maryam Dogar & Salar Saeed, 2021. "A metric-based assessment of climate and tourism in major cities of Pakistan," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(9), pages 13607-13627, September.
    9. Martin Falk, 2014. "Weather and Tourism Demand in the Summer Months across Austrian provinces," ERSA conference papers ersa14p1149, European Regional Science Association.
    10. Paolo Figini & Simona Cicognani & Lorenzo Zirulia, 2023. "Booking in the Rain. Testing the Impact of Public Information on Prices," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 9(3), pages 1329-1364, November.
    11. Claudio Detotto & Sauveur Giannoni & Claire Goavec, 2017. "Does good governance attract tourists?," Working Papers 002, Laboratoire Lieux, Identités, eSpaces et Activités (LISA).
    12. Xuan Ma & Hiroatsu Fukuda & Dian Zhou & Mengying Wang, 2019. "A Study of the Pedestrianized Zone for Tourists: Urban Design Effects on Humans’ Thermal Comfort in Fo Shan City, Southern China," Sustainability, MDPI, vol. 11(10), pages 1-20, May.
    13. Malaj, Emi & Malaj, Visar, 2023. "Determinants of international tourism: Empirical evidence from three Mediterranean countries," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 9(2), pages 66-72.
    14. Olya, Hossein G.T. & Alipour, Habib, 2015. "Risk assessment of precipitation and the tourism climate index," Tourism Management, Elsevier, vol. 50(C), pages 73-80.
    15. Rubén Lado-SestayoAuthor-Email: mila.vivel@usc.es & Milagros Vivel-Búa, 2019. "The Spanish hotel corporations: Internal and external performance drivers," Contaduría y Administración, Accounting and Management, vol. 64(1), pages 25-26, Enero-Mar.
    16. Sara Dalir & Abror Mahamadaminov & Hossein GT Olya, 2021. "Airbnb and taxation: Developing a seasonal tax system," Tourism Economics, , vol. 27(2), pages 365-378, March.
    17. Turrión Prats, Judith & Duro Moreno, Juan Antonio, 2017. "The Seasonality of Demand in Spanish Tourist Municipalities: Analysis and Determinants," Working Papers 2072/306518, Universitat Rovira i Virgili, Department of Economics.
    18. Nidal Alzboun, 2018. "Measuring Seasonality of Tourism Demand in Petra, Jordan (2006-2017)," Modern Applied Science, Canadian Center of Science and Education, vol. 12(9), pages 131-131, September.
    19. Hamid Siroosi & Gholamali Heshmati & Abdolrassoul Salmanmahiny, 2020. "Can empirically based model results be fed into mathematical models? MCE for neural network and logistic regression in tourism landscape planning," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(4), pages 3701-3722, April.
    20. Song, Haiyan & Qiu, Richard T.R. & Park, Jinah, 2019. "A review of research on tourism demand forecasting," Annals of Tourism Research, Elsevier, vol. 75(C), pages 338-362.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nax:conyad:v:64:y:2019:i:1:p:23-24. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Alberto García-Narvaez (Technical Editor) (email available below). General contact details of provider: https://edirc.repec.org/data/fcunamx.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.