IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i6p2540-d336239.html
   My bibliography  Save this article

Expert Consensus Versus Statistical Techniques in the Delimitation of Tourism Destinations

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/6/2540/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/6/2540/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rodolfo Baggio & Chris Cooper, 2009. "Knowledge transfer in a tourism destination: the effects of a network structure," The Service Industries Journal, Taylor & Francis Journals, vol. 30(10), pages 1757-1771, November.
    2. Clapp, John M. & Wang, Yazhen, 2006. "Defining neighborhood boundaries: Are census tracts obsolete?," Journal of Urban Economics, Elsevier, vol. 59(2), pages 259-284, March.
    3. Yongxin Deng, 2016. "Challenges and complications in neighborhood mapping: from neighborhood concept to operationalization," Journal of Geographical Systems, Springer, vol. 18(3), pages 229-248, July.
    4. Guido Candela & Paolo Figini, 2012. "The Economics of Tourism Destinations," Springer Texts in Business and Economics, in: The Economics of Tourism Destinations, edition 127, chapter 0, pages 73-130, Springer.
    5. 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, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Rodríguez Rodríguez, Yurena & Hernández Martín, Raúl, 2018. "Foundations and relevance of delimiting local tourism destinations," INVESTIGACIONES REGIONALES - Journal of REGIONAL RESEARCH, Asociación Española de Ciencia Regional, issue 42, pages 185-206.
    2. Hong, Tao & Ma, Tao & Huan, Tzung-Cheng (T.C.), 2015. "Network behavior as driving forces for tourism flows," Journal of Business Research, Elsevier, vol. 68(1), pages 146-156.
    3. Salvatore Bimonte & Antonella D’Agostino, 2021. "Tourism development and residents’ well-being: Comparing two seaside destinations in Italy," Tourism Economics, , vol. 27(7), pages 1508-1525, November.
    4. László Könnyid & Zsuzsanna Váradi & Zsombor Nagy & Noémi Ilyés & Orsolya H. Horváth, 2022. "The Changes in the Demographic Characteristics and Spatial Structure of Tourism Demand in the West Balaton Region’s Spa Cities," Sustainability, MDPI, vol. 14(17), pages 1-14, August.
    5. Arbulú, Italo & Lozano, Javier & Rey-Maquieira, Javier, 2017. "The challenges of tourism to waste-to-energy public-private partnerships," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 916-921.
    6. Vincenzo Asero & Venera Tomaselli, 2015. "Research Note: Analysing Tourism Demand in Tourist Districts — The Case of Sicily," Tourism Economics, , vol. 21(5), pages 1111-1119, October.
    7. Annie Tubadji & Peter Nijkamp, 2018. "Revisiting the Balassa–Samuelson effect: International tourism and cultural proximity," Tourism Economics, , vol. 24(8), pages 915-944, December.
    8. Roberto Patuelli & Maurizio Mussoni & Guido Candela, 2016. "The Effects of World Heritage Sites on Domestic Tourism: A Spatial Interaction Model for Italy," Advances in Spatial Science, in: Roberto Patuelli & Giuseppe Arbia (ed.), Spatial Econometric Interaction Modelling, chapter 0, pages 281-315, Springer.
    9. Kasimati Evangelia, 2016. "Does tourism contribute significantly to the Greek economy? A multiplier analysis," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 7(1), pages 55-62, May.
    10. Guido Candela & Massimiliano Castellani & Maurizio Mussoni, 2015. "Keynesian Policies for Tourism: Taxation without Coordination," Tourism Economics, , vol. 21(3), pages 527-541, June.
    11. Sieds, 2012. "Complete Volume LXVI n.2 2012," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 66(2), pages 1-249.
    12. Šimundić Blanka & Kuliš Zvonimir, 2016. "Tourism and Economic Growth in Mediterranean Region: Dynamic Panel Data Approach," Acta Economica Et Turistica, Sciendo, vol. 2(1), pages 65-84, September.
    13. Tanaka, Kiyoyasu, 2016. "Forecasting inbound tourists in Cambodia," IDE Discussion Papers 601, Institute of Developing Economies, Japan External Trade Organization(JETRO).
    14. Ghezzi, Antonio & Cavallo, Angelo, 2020. "Agile Business Model Innovation in Digital Entrepreneurship: Lean Startup Approaches," Journal of Business Research, Elsevier, vol. 110(C), pages 519-537.
    15. Massimiliano Castellani & Pierpaolo Pattitoni & Laura Vici, 2015. "Pricing Visitor Preferences for Temporary Art Exhibitions," Tourism Economics, , vol. 21(1), pages 83-103, February.
    16. Nagengast, Arne J. & Bursian, Dirk & Menz, Jan-Oliver, 2021. "Dynamic pricing and exchange rate pass-through: Evidence from transaction-level data," European Economic Review, Elsevier, vol. 133(C).
    17. Liudan Wu & Lili Hao & Lingzhi Wu & Ruize Gao & Ji Chen, 2023. "Assessing the Inbound Tourism Efficiency of European Countries in China: 2006-2019," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 25(63), pages 625-625, April.
    18. Cellini, Roberto & Cuccia, Tiziana, 2014. "The Tourism Industry in Italy during the Great Recession (2008-12): What Data Show and Suggest," MPRA Paper 62473, University Library of Munich, Germany, revised Feb 2015.
    19. Ashrafi Tannaz Alizadeh & Myrland Øystein, 2017. "Determinants of trip duration for international tourists in Norway; a parametric survival analysis," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 8(1), pages 75-86, May.
    20. Gianluca Cafiso & Roberto Cellini & Tiziana Cuccia, 2015. "Do Economic Crises Lead Tourists to Closer Destinations? An Analysis of Italy's Regional Data," CESifo Working Paper Series 5250, CESifo.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:6:p:2540-:d:336239. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.