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Regional efficiency evaluation by input-oriented data envelopment analysis of hotel and restaurant sector

Author

Listed:
  • Athanasia Karakitsiou

    (Educational Technological Institute of Central Macedonia)

  • Markos Kourgiantakis

    (Technological Educational Institute of Crete)

  • Athanasia Mavrommati

    (University of Ioannina)

  • Athanasios Migdalas

    (Luleå University of Technology)

Abstract

This paper analyses the efficiency of hotel and restaurant sector across all of the thirteen regions in Greece. For our purpose, DEA models were applied in order to evaluate the tourist efficiency and competitiveness of different regions in Greece. The application of this frontier method permits the calculation of efficiency scores based on a series of inputs (number of local units, number of employees and investments) and output (turnover). For the years, 2002–2013, with respectively constant and variable returns to scale models, the empirical analysis shows the differences in the efficiency performance of the Greek regions. More specifically, Attica and South Aegean can be regarded as “moving ahead” regions, whereas some other like, Thessaly, Central Macedonia, Central Greece and Epirus can be considered as “falling further” regions.

Suggested Citation

  • Athanasia Karakitsiou & Markos Kourgiantakis & Athanasia Mavrommati & Athanasios Migdalas, 2020. "Regional efficiency evaluation by input-oriented data envelopment analysis of hotel and restaurant sector," Operational Research, Springer, vol. 20(4), pages 2041-2058, December.
  • Handle: RePEc:spr:operea:v:20:y:2020:i:4:d:10.1007_s12351-018-0406-1
    DOI: 10.1007/s12351-018-0406-1
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    References listed on IDEAS

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    1. Crouch, Geoffrey I. & Ritchie, J. R. Brent, 1999. "Tourism, Competitiveness, and Societal Prosperity," Journal of Business Research, Elsevier, vol. 44(3), pages 137-152, March.
    2. Elena Toma, 2014. "Regional scale efficiency evaluation by input-oriented Data Envelopment Analysis of tourism sector," International Journal of Academic Research in Environment and Geography, Human Resource Management Academic Research Society, International Journal of Academic Research in Environment and Geography, vol. 1(1), pages 15-20, June.
    3. Boussofiane, A. & Dyson, R. G. & Thanassoulis, E., 1991. "Applied data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 52(1), pages 1-15, May.
    4. 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.
    5. Rozenn Perrigot & Gérard Cliquet & Isabelle Piot-Lepetit, 2009. "Plural form chain and efficiency: Insights from theFrench hotel chains and the DEA methodology," Post-Print halshs-00422241, HAL.
    6. Huang, Chin-wei & Ho, Foo Nin & Chiu, Yung-ho, 2014. "Measurement of tourist hotels׳ productive efficiency, occupancy, and catering service effectiveness using a modified two-stage DEA model in Taiwan," Omega, Elsevier, vol. 48(C), pages 49-59.
    7. 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.
    8. Yuan-ho Lee & Lung-Tan Lu & An-De Sung, 2012. "A Measure to the Operational Performance of International Hotels in Taiwan: DEA and Malmquist Approach," Review of Economics & Finance, Better Advances Press, Canada, vol. 2, pages 73-83, February.
    9. 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.
    10. Maria Papadakis, 1994. "Did (or does) the United States have a competitiveness crisis?," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 13(1), pages 1-20.
    11. 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.
    12. Andreas PAPATHEODOROU & Pavlos ARVANITIS, 2014. "Tourism And The Economic Crisis In Greece - Regional Perspectives," Region et Developpement, Region et Developpement, LEAD, Universite du Sud - Toulon Var, vol. 39, pages 183-203.
    13. Botti, Laurent & Briec, Walter & Cliquet, Gérard, 2009. "Plural forms versus franchise and company-owned systems: A DEA approach of hotel chain performance," Omega, Elsevier, vol. 37(3), pages 566-578, June.
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