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Managerial efficiency and hospitality industry: the Portuguese case

Author

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  • Carlos Pestana Barros
  • Laurent Botti
  • Nicolas Peypoch
  • Bernardin Solonandrasana

Abstract

In this article, the innovative twostage procedure of Simar and Wilson (2007) is used to estimate the efficiency determinants of Portuguese hotel groups from 1998 to 2005. In the first stage, the hotels' technical efficiency is estimated with Data Envelopment Analysis (DEA), in order to establish which hotels have the most efficient performance. These could serve as peers to help improve performance of the least efficient hotels. In the second stage, the Simar and Wilson model is used to bootstrap the DEA scores with a truncated regression. The article contributes to the hotel industry literature by adopting a somewhat novel approach that has never been applied to this industry despite its managerial implications. The motivation for the analysis lies in the fact that during the period under analysis Portuguese hotels faced a number of threats. Knowing what the best practices are is then good news for managers and institutions.

Suggested Citation

  • Carlos Pestana Barros & Laurent Botti & Nicolas Peypoch & Bernardin Solonandrasana, 2011. "Managerial efficiency and hospitality industry: the Portuguese case," Applied Economics, Taylor & Francis Journals, vol. 43(22), pages 2895-2905.
    • Handle: RePEc:taf:applec:v:43:y:2011:i:22:p:2895-2905
    DOI: 10.1080/00036840802600145
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    References listed on IDEAS

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    1. Fried, Harold O. & Lovell, C. A. Knox & Schmidt, Shelton S. (ed.), 1993. "The Measurement of Productive Efficiency: Techniques and Applications," OUP Catalogue, Oxford University Press, number 9780195072181, Decembrie.
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    Cited by:

    1. Mitsuhiko Kataoka, 2016. "Interprovincial efficiency differentials in Indonesia's pre-and post-crisis economy," ERSA conference papers ersa16p412, European Regional Science Association.
    2. Yaguo Deng & Helena Veiga & Michael P. Wiper, 2019. "Efficiency evaluation of hotel chains: a Spanish case study," SERIEs: Journal of the Spanish Economic Association, Springer;Spanish Economic Association, vol. 10(2), pages 115-139, June.
    3. Angel Higuerey & Christian Viñan-Merecí & Zulema Malo-Montoya & Valentín-Alejandro Martínez-Fernández, 2020. "Data Envelopment Analysis (DEA) for Measuring the Efficiency of the Hotel Industry in Ecuador," Sustainability, MDPI, vol. 12(4), pages 1-18, February.
    4. 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.
    5. Federico Inchausti-Sintes & Ubay Pérez-Granja & José Juan Morales-Mohamed, 2021. "Analysing labour productivity and its economic consequences in the two Spanish tourist archipelagos," Tourism Economics, , vol. 27(5), pages 1039-1059, August.
    6. Paulo Maçãs Nunes & Zélia Serrasqueiro, 2017. "Short-term debt and long-term debt determinants in small and medium-sized hospitality firms," Tourism Economics, , vol. 23(3), pages 543-560, May.
    7. Cox, Adam & Craig, Russell & Tourish, Dennis, 2018. "Retraction statements and research malpractice in economics," Research Policy, Elsevier, vol. 47(5), pages 924-935.
    8. Martin Flegl & Hazael Cerón-Monroy & Igor Krejčí & Josef Jablonský, 2023. "Estimating the hospitality efficiency in Mexico using Data Envelopment Analysis," OPSEARCH, Springer;Operational Research Society of India, vol. 60(1), pages 188-216, March.
    9. Zutao Deng & Yan Gao & Bin Liang & Alastair M Morrison, 2020. "Efficiency evaluation of hotel operations in Mainland China based on the superefficiency SBM model," Tourism Economics, , vol. 26(2), pages 276-298, March.
    10. Marco Corsino & Enrico Zaninotto, 2012. "Revealing the influence of managerial practices and entrepreneurs' characteristics on hotel efficiency," DISA Working Papers 2012/03, Department of Computer and Management Sciences, University of Trento, Italy, revised May 2012.
    11. Hsiao-Yin Chen & Chin-wei Huang & Yung-Ho Chiu, 2017. "An intertemporal efficiency and technology measurement for tourist hotel," Journal of Productivity Analysis, Springer, vol. 48(1), pages 85-96, August.
    12. Corne, Aurélie, 2015. "Benchmarking and tourism efficiency in France," Tourism Management, Elsevier, vol. 51(C), pages 91-95.
    13. José Manuel Cordero & Cristina Polo & Daniel Santín & Gabriela Sicilia, 2016. "Monte-Carlo Comparison of Conditional Nonparametric Methods and Traditional Approaches to Include Exogenous Variables," Pacific Economic Review, Wiley Blackwell, vol. 21(4), pages 483-497, October.
    14. Oliveira, Ricardo & Pedro, Maria Isabel & Marques, Rui Cunha, 2013. "Efficiency and its determinants in Portuguese hotels in the Algarve," Tourism Management, Elsevier, vol. 36(C), pages 641-649.
    15. Guang Chu & Liangjian Yang & Jinhe Zhang & Tian Wang & Yingjia Dong & Zhangrui Qian, 2024. "Navigating the Efficiency Landscape: A Data Envelopment Analysis of Tourist Resorts in Jiangsu Province for Optimized Socio-Economic Benefits," Sustainability, MDPI, vol. 16(4), pages 1-21, February.

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