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Do contextual factors matter? Evidence from Chinese hotel productivity with heterogeneity

Author

Listed:
  • Hai Dong

    (Henan Normal University, China)

  • Nicolas Peypoch

    (University of Perpignan, France)

  • Linjia Zhang

    (Xi’an Jiaotong-Liverpool University, China)

Abstract

In this article, an assessment of efficiency and productivity of Chinese hotels at the provincial level in relation to their star rating is proposed. This heterogeneity is considered by using a hierarchical structure. The drivers of productivity and its components are studied through various and innovative environmental and contextual factors. This study shows that Chinese star-rated hotels experienced a slight productivity deterioration in the last decade. Furthermore, several contextual and environmental factors explain significant differences in productivity rankings of the Chinese provinces. These findings reveal important patterns that are useful for both hotel managers and policymakers.

Suggested Citation

  • Hai Dong & Nicolas Peypoch & Linjia Zhang, 2020. "Do contextual factors matter? Evidence from Chinese hotel productivity with heterogeneity," Tourism Economics, , vol. 26(2), pages 257-275, March.
    • Handle: RePEc:sae:toueco:v:26:y:2020:i:2:p:257-275
    DOI: 10.1177/1354816619856239
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    1. Walheer, Barnabé & Zhang, Linjia, 2018. "Profit Luenberger and Malmquist-Luenberger indexes for multi-activity decision making units: the case of the star-rated hotel industry in China," RIEI Working Papers 2018-06, Xi'an Jiaotong-Liverpool University, Research Institute for Economic Integration.
    2. Yasuo Ohe & Nicolas Peypoch, 2016. "Efficiency analysis of Japanese Ryokans," Tourism Economics, , vol. 22(6), pages 1261-1273, December.
    3. 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.
    4. Subramanian, Nachiappan & Gunasekaran, Angappa & Gao, Yanan, 2016. "Innovative service satisfaction and customer promotion behaviour in the Chinese budget hotel: an empirical study," International Journal of Production Economics, Elsevier, vol. 171(P2), pages 201-210.
    5. Guironnet, Jean-Pascal & Peypoch, Nicolas, 2018. "The geographical efficiency of education and research: The ranking of U.S. universities," Socio-Economic Planning Sciences, Elsevier, vol. 62(C), pages 44-55.
    6. Léopold Simar & Paul Wilson, 2011. "Two-stage DEA: caveat emptor," Journal of Productivity Analysis, Springer, vol. 36(2), pages 205-218, October.
    7. Aurélie Corne, 2015. "Benchmarking and tourism efficiency in France," Post-Print hal-02395171, HAL.
    8. 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.
    9. Ray, Subhash C & Desli, Evangelia, 1997. "Productivity Growth, Technical Progress, and Efficiency Change in Industrialized Countries: Comment," American Economic Review, American Economic Association, vol. 87(5), pages 1033-1039, December.
    10. Goncalves, Olga, 2013. "Efficiency and productivity of French ski resorts," Tourism Management, Elsevier, vol. 36(C), pages 650-657.
    11. Tortosa-Ausina, Emili & Grifell-Tatje, Emili & Armero, Carmen & Conesa, David, 2008. "Sensitivity analysis of efficiency and Malmquist productivity indices: An application to Spanish savings banks," European Journal of Operational Research, Elsevier, vol. 184(3), pages 1062-1084, February.
    12. Hongwei Liu & Henry Tsai, 2018. "Total factor productivity growth and regional competitive analysis of China’s star-rated hotels," Tourism Economics, , vol. 24(6), pages 625-644, September.
    13. Zhang, Linjia & Botti, Laurent & Petit, Sylvain, 2016. "Destination performance: Introducing the utility function in the mean-variance space," Tourism Management, Elsevier, vol. 52(C), pages 123-132.
    14. Wong, Tommy & French, Linda & Wickham, Mark, 2016. "Knowledge-management issues in China’s hotel industry," Annals of Tourism Research, Elsevier, vol. 57(C), pages 257-259.
    15. Banker, Rajiv D & Maindiratta, Ajay, 1988. "Nonparametric Analysis of Technical and Allocative Efficiencies in Production," Econometrica, Econometric Society, vol. 56(6), pages 1315-1332, November.
    16. Assaf, A. George & Tsionas, Mike, 2018. "The estimation and decomposition of tourism productivity," Tourism Management, Elsevier, vol. 65(C), pages 131-142.
    17. Mao, Zhenxing (Eddie) & Yang, Yang, 2016. "FDI spillovers in the Chinese hotel industry: The role of geographic regions, star-rating classifications, ownership types, and foreign capital origins," Tourism Management, Elsevier, vol. 54(C), pages 1-12.
    18. Olesen, Ole Bent & Petersen, Niels Christian & Podinovski, Victor V., 2017. "Efficiency measures and computational approaches for data envelopment analysis models with ratio inputs and outputs," European Journal of Operational Research, Elsevier, vol. 261(2), pages 640-655.
    19. Corne, Aurélie, 2015. "Benchmarking and tourism efficiency in France," Tourism Management, Elsevier, vol. 51(C), pages 91-95.
    20. 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.
    21. Varian, Hal R, 1984. "The Nonparametric Approach to Production Analysis," Econometrica, Econometric Society, vol. 52(3), pages 579-597, May.
    22. 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.
    23. Simar, Leopold & Wilson, Paul W., 1999. "Estimating and bootstrapping Malmquist indices," European Journal of Operational Research, Elsevier, vol. 115(3), pages 459-471, June.
    24. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2006. "Introduction to Data Envelopment Analysis and Its Uses," Springer Books, Springer, number 978-0-387-29122-2, December.
    25. 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.
    26. Assaf, A. George & Josiassen, Alexander & Agbola, Frank W., 2015. "Attracting international hotels: Locational factors that matter most," Tourism Management, Elsevier, vol. 47(C), pages 329-340.
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    Cited by:

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    3. Hai Dong & Qi-Bin Liang & Nicolas Peypoch, 2023. "Tourist attractions in efficiency analysis," Tourism Economics, , vol. 29(3), pages 835-841, May.
    4. Corne, Aurélie & Peypoch, Nicolas, 2020. "On the determinants of tourism performance," Annals of Tourism Research, Elsevier, vol. 85(C).

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