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Hotel productivity: A robust Luenberger productivity indicator

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  • Nickolaos G Tzeremes

    (University of Thessaly, Greece)

Abstract

The article presents a robust version of the Luenberger productivity indicator. The proposed productivity indicator is less sensitive to potential outliers and extreme values. We apply the robust productivity index on a sample of 176 hotels operating in the Canary Islands over the period from 2004 to 2013. The results indicate that hotels have increased their productivity levels over the examined time period. In relation to their productivity levels, it is also evident that hotels have demonstrated strong resilience during the global financial crisis. Finally, it is evident that hotels have been recovered quickly from the global financial crisis based mainly on the ability to increase their technological change levels.

Suggested Citation

  • Nickolaos G Tzeremes, 2019. "Hotel productivity: A robust Luenberger productivity indicator," Tourism Economics, , vol. 25(6), pages 987-996, September.
  • Handle: RePEc:sae:toueco:v:25:y:2019:i:6:p:987-996
    DOI: 10.1177/1354816618821271
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    References listed on IDEAS

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    1. Bienvenido Ortega & Carlos G. Benavides Chicón, 2013. "Determinants of Regional Labour Productivity in the Hospitality Industry in Spain, 1996–2004," Tourism Economics, , vol. 19(2), pages 393-414, April.
    2. Daraio, Cinzia & Simar, Léopold, 2014. "Directional distances and their robust versions: Computational and testing issues," European Journal of Operational Research, Elsevier, vol. 237(1), pages 358-369.
    3. David C. Wheelock & Paul W. Wilson, 2003. "Robust nonparametric estimation of efficiency and technical change in U.S. commercial banking," Working Papers 2003-037, Federal Reserve Bank of St. Louis.
    4. Assaf, A. George & Tsionas, Mike, 2018. "The estimation and decomposition of tourism productivity," Tourism Management, Elsevier, vol. 65(C), pages 131-142.
    5. Jose M. Cordero & Nickolaos G. Tzeremes, 2017. "Evaluating hotel productivity growth in Balearic and Canary islands," Tourism Economics, , vol. 23(5), pages 1146-1154, August.
    6. George Assaf, A., 2012. "Benchmarking the Asia Pacific tourism industry: A Bayesian combination of DEA and stochastic frontier," Tourism Management, Elsevier, vol. 33(5), pages 1122-1127.
    7. Cazals, Catherine & Florens, Jean-Pierre & Simar, Leopold, 2002. "Nonparametric frontier estimation: a robust approach," Journal of Econometrics, Elsevier, vol. 106(1), pages 1-25, January.
    8. Chambers, Robert G. & Chung, Yangho & Fare, Rolf, 1996. "Benefit and Distance Functions," Journal of Economic Theory, Elsevier, vol. 70(2), pages 407-419, August.
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    Cited by:

    1. Santos, Eleonora & Correia, Alexandra & Ferreira, Fernanda & Nunes, Alcina & Veloso, Cláudia & Vieira, Elvira & Silva, Goretti & Fonseca, Manuel & Carrança, Paulo & Fernandes, Paula, 2020. "Productivity Measurement: The Case Of Nature Tourism Firms In Portugal," Journal of Tourism, Sustainability and Well-being, Cinturs - Research Centre for Tourism, Sustainability and Well-being, University of Algarve, vol. 8(4), pages 331-346.
    2. Zheng Wang & Jinhua Luo, 2024. "Evaluating the tourism green productivity and its driving factors in the context of climate change," Tourism Economics, , vol. 30(3), pages 655-679, May.
    3. Michael L. Polemis & Thanasis Stengos & Nickolaos G. Tzeremes, 2020. "Modeling the effect of competition on US manufacturing sectors’ efficiency: an order-m frontier analysis," Journal of Productivity Analysis, Springer, vol. 54(1), pages 27-41, August.
    4. 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.

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