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Expert Consensus Versus Statistical Techniques in the Delimitation of Tourism Destinations

Author

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  • Yurena Rodríguez-Rodríguez

    (Chair in Tourism CajaCanarias-Ashotel, University of La Laguna, 38200 La Laguna, Spain)

  • Raúl Hernández-Martín

    (Chair in Tourism CajaCanarias-Ashotel, University of La Laguna, 38200 La Laguna, Spain
    Department of Applied Economics and Quantitative Methods, University of La Laguna, 38200 La Laguna, Spain)

Abstract

Delimitation of the boundaries of local tourism destinations has been proposed as a useful tool to obtain spatially-detailed statistical information to improve their decision-making and management. In the case of the Canary Islands, a leading tourism region, expert consensus supported by criteria based on supply characteristics has been used to set the boundaries of local destinations. This paper aims to analyse the characteristics of these established local destinations and test if statistical methods may provide better or different results than expert consensus from the perspective of destinations’ internal homogeneity and the differences between them. After applying descriptive and analytical statistical methods, the results confirm the evidence found in other delimitation exercises in social sciences. The consensus of experts, or subjectivity, provides consistent results that are, by and large, confirmed by statistical analysis. While statistical methods can provide new insights for delimitation, pure statistical methods can sometimes be misleading if stakeholders’ knowledge is not considered.

Suggested Citation

  • Yurena Rodríguez-Rodríguez & Raúl Hernández-Martín, 2020. "Expert Consensus Versus Statistical Techniques in the Delimitation of Tourism Destinations," Sustainability, MDPI, vol. 12(6), pages 1-23, March.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2540-:d:336239
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    References listed on IDEAS

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    4. Guido Candela & Paolo Figini, 2012. "The Economics of Tourism Destinations," Springer Texts in Business and Economics, Springer, edition 127, number 978-3-642-20874-4, April.
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