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The Sea as a Connection between Residents and Tourists in Coastal Destinations: A Case in Algarve

Author

Listed:
  • Dora Agapito

    (University of Algarve)

  • Julio Mendes

    (University of Algarve)

  • Patricia Valle

    (University of Algarve)

Abstract

Coastal regions involve a set of interactions between tourists and residents, which implies that management and marketing strategies should take into account both stakeholders. Indeed, one of the greatest challenges of destination management organizations is to understand that they serve not only tourists and stakeholders directly related to tourism, but also the local community. Thus, the central purpose of this study is to measure the destination image of both tourists’ and residents’ perspectives, identifying the major aspects of agreement and isagreement. The data was collected in Lagos, one of the 16 municipalities of the Algarve (South Portugal), which, due to its coastal location, offers sun-beach tourism. Furthermore, due to historical, cultural and economic reasons, the sea has been a factor of identity for the coastal communities in the region. The empirical investigation includes a mixed methodology, with the use of open-ended questions followed by the application of a structured questionnaire to both tourists and residents. The results meet the growing need to diversify the destination supply depending on “sun and beach”, aiming at local sustainable development by focusing on the cultural component and the sea as an important attribute of the destination

Suggested Citation

  • Dora Agapito & Julio Mendes & Patricia Valle, 2011. "The Sea as a Connection between Residents and Tourists in Coastal Destinations: A Case in Algarve," Spatial and Organizational Dynamics Discussion Papers 2011-13, CIEO-Research Centre for Spatial and Organizational Dynamics, University of Algarve.
    • Handle: RePEc:ris:cieodp:2011_013
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    References listed on IDEAS

    as
    1. G. V. Kass, 1980. "An Exploratory Technique for Investigating Large Quantities of Categorical Data," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 29(2), pages 119-127, June.
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    More about this item

    Keywords

    Destination Image; Coastal Tourism; Sea; Residents; Algarve;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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