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Regional scale efficiency evaluation by input-oriented Data Envelopment Analysis of tourism sector

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  • Elena Toma

Abstract

Hotels and restaurants sector represented in 2012 almost 16% from national GDP. From over 23 thou active enterprises, 25% are represented by tourism accommodation structures from which over 70% are hotels and guesthouses (rural and agro touristic). They are distributed from a geographical point of view in all eight development regions with a major concentration in Centre Region (30%). Our purpose is to evaluate using a nonparametric method (DEA – data envelopment analysis; DEA frontier free software) the effectiveness of tourism activities at regional level. The application of this frontier method permits the calculation pf efficiency scores based on a series of inputs (employees, enterprises, investments, tourism places-days) and outputs (turnover, regional GDP, tourist numbers, foreign tourist numbers, overnights). Research finding indicate that a part of regions with a higher touristic volume don’t reach technical and scale efficiency and need interventions to restructure their resources usage (labor, capital, infrastructure) or to implement real measures to increase demand and outcomes.

Suggested Citation

  • 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.
  • Handle: RePEc:hur:ijareg:v:1:y:2014:i:1:p:15-20
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    References listed on IDEAS

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    1. William W. Cooper & Lawrence M. Seiford & Joe Zhu (ed.), 2011. "Handbook on Data Envelopment Analysis," International Series in Operations Research and Management Science, Springer, number 978-1-4419-6151-8, December.
    2. Axel Schaffer & Léopold Simar & Jan Rauland, 2011. "Decomposing Regional Efficiency," Journal of Regional Science, Wiley Blackwell, vol. 51(5), pages 931-947, December.
    3. Pulina, Manuela & Detotto, Claudio & Paba, Antonello, 2010. "An investigation into the relationship between size and efficiency of the Italian hospitality sector: A window DEA approach," European Journal of Operational Research, Elsevier, vol. 204(3), pages 613-620, August.
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    1. Boris Radovanov & Branislav Dudic & Michal Gregus & Aleksandra Marcikic Horvat & Vincent Karovic, 2020. "Using a Two-Stage DEA Model to Measure Tourism Potentials of EU Countries and Western Balkan Countries: An Approach to Sustainable Development," Sustainability, MDPI, vol. 12(12), pages 1-12, June.
    2. 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.

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