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Determinants of Spanish Regions' Tourism Performance: A Two-Stage, Double-Bootstrap Data Envelopment Analysis

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  • Bernardino Benito

    (Department of Accounting and Finance, Faculty of Economics and Business, University of Murcia, Campus of Espinardo, 30100 Murcia, Spain)

  • José Solana

    (Departamento de Integración, Defense University Center, Base Aérea de San Javier, Santiago de la Ribera, Murcia, Spain)

  • Pilar López

    (Department of Tourism Business Administration, Tourism School, University of Murcia, Paseo del Malecón 5, 30004 Murcia, Spain)

Abstract

Despite the current international financial crisis, the tourism sector has managed to maintain high levels of activity. Against a backdrop of weak demand and stiff competition, efficiency has come to the fore as a key issue, especially in consolidated markets, such as Spain, where hopes that the sector will lead the way to economic recovery contrast with statements from the Competitiveness Monitor of the World Travel & Tourism Council that Spain is losing its competitiveness. In this article, the two-stage Simar and Wilson procedure is used to estimate the effect of a group of nine environmental factors on robust data envelopment analysis (DEA) estimates which act as a proxy of destination competitiveness for the Spanish autonomous communities (or regions) between 2002 and 2010. A brief discussion in terms of D- and E-attraction and cluster D-attraction is also included. The article contributes to the destination industry literature by adopting an approach that has not hitherto been applied to Spain.

Suggested Citation

  • Bernardino Benito & José Solana & Pilar López, 2014. "Determinants of Spanish Regions' Tourism Performance: A Two-Stage, Double-Bootstrap Data Envelopment Analysis," Tourism Economics, , vol. 20(5), pages 987-1012, October.
    • Handle: RePEc:sae:toueco:v:20:y:2014:i:5:p:987-1012
    DOI: 10.5367/te.2013.0327
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    References listed on IDEAS

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    2. Rio Benedicto Bire, 2021. "Mapping destination competitiveness in Indonesia’s Nusa Tenggara Timur (NTT) province: A Malmquist–data envelopment analysis approach," Regional Science Policy & Practice, Wiley Blackwell, vol. 13(3), pages 820-834, June.
    3. Christina Bampatsou & George Halkos & Olga-Helen Astara, 2022. "Composite indicators in evaluating tourism performance and seasonality," Operational Research, Springer, vol. 22(3), pages 2373-2396, July.
    4. Bernardina Algieri & Antonio à lvarez, 2023. "Assessing the ability of regions to attract foreign tourists: The case of Italy," Tourism Economics, , vol. 29(3), pages 788-811, May.
    5. Manuela Pulina & Valentina Santoni, 2018. "A two-stage DEA approach to analyse the efficiency of the hospitality sector," Tourism Economics, , vol. 24(3), pages 352-365, May.
    6. Calogero Guccio & Domenico Lisi & Anna Mignosa & Ilde Rizzo, 2018. "Does cultural heritage monetary value have an impact on visits? An assessment using official Italian data," Tourism Economics, , vol. 24(3), pages 297-318, May.
    7. Tiziana Cuccia & Calogero Guccio & Ilde Rizzo, 2017. "UNESCO sites and performance trend of Italian regional tourism destinations," Tourism Economics, , vol. 23(2), pages 316-342, March.
    8. Francisca J. Sánchez-Sánchez & Ana M. Sánchez-Sánchez, 2024. "Evaluating the efficiency and determinants of mass tourism in Spain: a tourist area perspective," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 23(1), pages 111-145, January.
    9. Wei Guo & Xin Zhang, 2022. "Regional Tourism Performance Research: Knowledge Foundation, Discipline Structure, and Academic Frontier," SAGE Open, , vol. 12(1), pages 21582440221, March.
    10. Hai Dong & Qi-Bin Liang & Nicolas Peypoch, 2023. "Tourist attractions in efficiency analysis," Tourism Economics, , vol. 29(3), pages 835-841, May.
    11. Fangdong Cao & Zhenfang Huang & Cheng Jin & Min Xu, 2016. "Influence of Chinese economic fluctuations on tourism efficiency in national scenic areas," Tourism Economics, , vol. 22(5), pages 884-907, October.
    12. Cuccia, Tiziana & Guccio, Calogero & Rizzo, Ilde, 2016. "The effects of UNESCO World Heritage List inscription on tourism destinations performance in Italian regions," Economic Modelling, Elsevier, vol. 53(C), pages 494-508.
    13. Corne, Aurélie & Peypoch, Nicolas, 2020. "On the determinants of tourism performance," Annals of Tourism Research, Elsevier, vol. 85(C).
    14. Emmanuel Mamatzakis & Panagiotis Pegkas & Christos Staikouras, 2023. "Labour market regulations and efficiency in tourism industry," Tourism Economics, , vol. 29(4), pages 1032-1054, June.
    15. Assaf, A. George & Tsionas, Mike G., 2019. "A review of research into performance modeling in tourism research - Launching the Annals of Tourism Research curated collection on performance modeling in tourism research," Annals of Tourism Research, Elsevier, vol. 76(C), pages 266-277.

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