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Efficiency in the Holiday and Other Short-Stay Accommodation Industry

Author

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  • Pilar Alberca

    (Department of Business and Accounting, Faculty of Economics and Management, UNED (National Distance Education University), 28040 Madrid, Spain)

  • Laura Parte

    (Department of Business and Accounting, Faculty of Economics and Management, UNED (National Distance Education University), 28040 Madrid, Spain)

Abstract

This study extends previous empirical efficiency research by focusing on a tourism sector which has limited evidence to date: the holiday and other short-stay accommodation industry (tourist apartments and hostels). The sample comprises 12,864 firm-level observations during the period 2005–2016. First, we calculate the efficiency index using a non-radial Data Envelopment Analysis (DEA). Second, we test the association between efficiency index and contextual factors using both Tobit and bootstrapped regression. Another major contribution is the use of a radial DEA model to confirm the results of the study. The current study offers new insights by focusing on an industry with scarce evidence, using radial and non-radial DEA approaches, and examining a wide variety of efficiency drivers. The efficiency results are examined by year, region and tourist destination type (including tourism dimensions such as rural, cultural and wine tourism). This is an important novelty of the study. The main findings reveal that the most efficient tourism destinations correspond to mixed or diversified destinations: those that combine some dimensions such as cultural, rural and wine tourism. The regressions models show that environmental, macroeconomic and business variables are drivers of tourism competitiveness. Taken together, the study goes a step further in the efficiency field.

Suggested Citation

  • Pilar Alberca & Laura Parte, 2020. "Efficiency in the Holiday and Other Short-Stay Accommodation Industry," Sustainability, MDPI, vol. 12(22), pages 1-22, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9493-:d:445288
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    References listed on IDEAS

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    1. Barros, Carlos Pestana & Botti, Laurent & Peypoch, Nicolas & Robinot, Elisabeth & Solonandrasana, Bernardin & A., George Assaf, 2011. "Performance of French destinations: Tourism attraction perspectives," Tourism Management, Elsevier, vol. 32(1), pages 141-146.
    2. Emrouznejad, Ali & Yang, Guo-liang, 2018. "A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 4-8.
    3. Yi-Lung Lee & Shew-Huei Kuo & Mei-Yi Jiang & Yang Li, 2019. "Evaluating the Performances of Taiwan’s International Tourist Hotels: Applying the Directional Distance Function and Meta-Frontier Approach," Sustainability, MDPI, vol. 11(20), pages 1-11, October.
    4. Pengzhen Yin & Min Yang & Ranran Yang, 2020. "Investigating the Effects of IT Capability on Hotel Performance Based on DEA Approach: An Empirical Example of International Hotels in Hong Kong," Sustainability, MDPI, vol. 12(17), pages 1-17, August.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. W. Cooper & L. Seiford & K. Tone & J. Zhu, 2007. "Some models and measures for evaluating performances with DEA: past accomplishments and future prospects," Journal of Productivity Analysis, Springer, vol. 28(3), pages 151-163, December.
    7. Yang, Zhenshan & Cai, Jianming, 2016. "Do regional factors matter? Determinants of hotel industry performance in China," Tourism Management, Elsevier, vol. 52(C), pages 242-253.
    8. George Assaf, A. & Josiassen, Alexander & Woo, Linda & Agbola, Frank W. & Tsionas, Mike, 2017. "Destination characteristics that drive hotel performance: A state-of-the-art global analysis," Tourism Management, Elsevier, vol. 60(C), pages 270-279.
    9. Chen, Ming-Hsiang, 2010. "The economy, tourism growth and corporate performance in the Taiwanese hotel industry," Tourism Management, Elsevier, vol. 31(5), pages 665-675.
    10. A. Georges Assaf & Frank W. Agbola, 2011. "Modelling the Performance of Australian Hotels: A DEA Double Bootstrap Approach," Tourism Economics, , vol. 17(1), pages 73-89, February.
    11. Fare, Rolf & Knox Lovell, C. A., 1978. "Measuring the technical efficiency of production," Journal of Economic Theory, Elsevier, vol. 19(1), pages 150-162, October.
    12. Pelin Demirel & Gamze Ozturk Danisman, 2019. "Eco‐innovation and firm growth in the circular economy: Evidence from European small‐ and medium‐sized enterprises," Business Strategy and the Environment, Wiley Blackwell, vol. 28(8), pages 1608-1618, December.
    13. 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.
    14. R. D. Banker & A. Charnes & W. W. Cooper, 1984. "Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis," Management Science, INFORMS, vol. 30(9), pages 1078-1092, September.
    15. Haugland, Sven A. & Myrtveit, Ingunn & Nygaard, Arne, 2007. "Market orientation and performance in the service industry: A data envelopment analysis," Journal of Business Research, Elsevier, vol. 60(11), pages 1191-1197, November.
    16. Lado-Sestayo, Rubén & Fernández-Castro, Ángel Santiago, 2019. "The impact of tourist destination on hotel efficiency: A data envelopment analysis approach," European Journal of Operational Research, Elsevier, vol. 272(2), pages 674-686.
    17. Tone, Kaoru, 2001. "A slacks-based measure of efficiency in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 130(3), pages 498-509, May.
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