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An investigation of international hotel productivity considering quasifixed inputs and negative outputs

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  • David Fang
  • Ming‐Ching Hsueh
  • Ching‐Ren Chiu

Abstract

This paper explores the productivity of international hotels by considering the number of guest rooms and the area of the catering department as quasifixed inputs, because neither can be easily changed over a short period. We introduce a range‐adjusted measure model to incorporate both quasifixed inputs and negative outputs and propose a nonradial Malmquist productivity index to estimate dynamic productivity. The results show that chain‐operated hotels were unable to generate operational synergy to enhance their competitiveness, but their productivity outperformed that of independently operated hotels in cross‐period aspect. Finally, we provide improvement suggestions for managers.

Suggested Citation

  • David Fang & Ming‐Ching Hsueh & Ching‐Ren Chiu, 2020. "An investigation of international hotel productivity considering quasifixed inputs and negative outputs," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 380-388, April.
  • Handle: RePEc:wly:mgtdec:v:41:y:2020:i:3:p:380-388
    DOI: 10.1002/mde.3107
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    1. Yung-ho Chiu & Chin-wei Huang & Chung-te Ting, 2012. "A non-radial measure of different systems for Taiwanese tourist hotels’ efficiency assessment," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 20(1), pages 45-63, March.
    2. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency: Some clarifications," European Journal of Operational Research, Elsevier, vol. 206(3), pages 702-702, November.
    3. Huang, Chin-wei, 2018. "Assessing the performance of tourism supply chains by using the hybrid network data envelopment analysis model," Tourism Management, Elsevier, vol. 65(C), pages 303-316.
    4. William Cooper & Kyung Park & Jesus Pastor, 1999. "RAM: A Range Adjusted Measure of Inefficiency for Use with Additive Models, and Relations to Other Models and Measures in DEA," Journal of Productivity Analysis, Springer, vol. 11(1), pages 5-42, February.
    5. Atkinson, Scott E. & Tsionas, Mike G., 2016. "Directional distance functions: Optimal endogenous directions," Journal of Econometrics, Elsevier, vol. 190(2), pages 301-314.
    6. Caves, Douglas W & Christensen, Laurits R & Diewert, W Erwin, 1982. "Multilateral Comparisons of Output, Input, and Productivity Using Superlative Index Numbers," Economic Journal, Royal Economic Society, vol. 92(365), pages 73-86, March.
    7. Shinn Sun & Wen-Min Lu, 2005. "Evaluating The Performance Of The Taiwanese Hotel Industry Using A Weight Slacks-Based Measure," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 22(04), pages 487-512.
    8. Fei-Ching Wang & Wei-Ting Hung & Jui-Kou Shang, 2006. "Measuring the Cost Efficiency of International Tourist Hotels in Taiwan," Tourism Economics, , vol. 12(1), pages 65-85, March.
    9. Kuosmanen, Timo & Matin, Reza Kazemi, 2009. "Theory of integer-valued data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 192(2), pages 658-667, January.
    10. 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.
    11. Seng-Su Tsang & Yi-Fen Chen & Yung-Hsiang Lu & Ching-Ren Chiu, 2014. "Assessing productivity in the presence of negative data and undesirable outputs," The Service Industries Journal, Taylor & Francis Journals, vol. 34(2), pages 162-174, January.
    12. Färe, Rolf & Grosskopf, Shawna, 2010. "Directional distance functions and slacks-based measures of efficiency," European Journal of Operational Research, Elsevier, vol. 200(1), pages 320-322, January.
    13. Alexandros Apostolakis & George Datseris & Constantine Manasakis, "undated". "Using data envelopment analysis to measure hotel efficiency in Crete," Working Papers 1203, University of Crete, Department of Economics.
    14. 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.
    15. Ouellette, Pierre & Vierstraete, Valerie, 2004. "Technological change and efficiency in the presence of quasi-fixed inputs: A DEA application to the hospital sector," European Journal of Operational Research, Elsevier, vol. 154(3), pages 755-763, May.
    16. Ying Li & Yung‐ho Chiu & Hongyi Cen & Tai‐Yu Lin, 2019. "The operating efficiency of financial holding and nonfinancial holding banks—Epsilou‐based measure metafrontier data envelopment analysis model," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 40(5), pages 488-499, July.
    17. Qunwei Wang & Ye Hang & Jin‐Li Hu & Ching‐Ren Chiu, 2018. "An alternative metafrontier framework for measuring the heterogeneity of technology," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(5), pages 427-445, August.
    18. Rajiv D. Banker & Richard C. Morey, 1986. "Efficiency Analysis for Exogenously Fixed Inputs and Outputs," Operations Research, INFORMS, vol. 34(4), pages 513-521, August.
    19. Fei-Ching Wang & Wei-Ting Hung & Jui-Kou Shang, 2006. "Measuring pure managerial efficiency of international tourist hotels in Taiwan," The Service Industries Journal, Taylor & Francis Journals, vol. 26(1), pages 59-71, January.
    20. R. G. Chambers & Y. Chung & R. Färe, 1998. "Profit, Directional Distance Functions, and Nerlovian Efficiency," Journal of Optimization Theory and Applications, Springer, vol. 98(2), pages 351-364, August.
    21. Yung-Ho Chiu & Chin-Wei Huang, 2010. "Evaluating the optimal occupancy rate, operational efficiency, and profitability efficiency of Taiwan's international tourist hotels," The Service Industries Journal, Taylor & Francis Journals, vol. 31(13), pages 2145-2162, April.
    22. Jie Wu & Liang Liang & Haiyan Song, 2010. "Measuring Hotel Performance Using the Integer Dea Model," Tourism Economics, , vol. 16(4), pages 867-882, December.
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