IDEAS home Printed from https://ideas.repec.org/a/taf/rcitxx/v25y2022i18p2922-2938.html
   My bibliography  Save this article

Seawater deterioration and the tourist beta convergence process: A geospatial big data analysis of the Spanish Mediterranean coast

Author

Listed:
  • Mariluz Mate-Sanchez-Val
  • Genoveva Aparicio-Serrano

Abstract

This paper examines the role of seawater deterioration in the beta convergence process of tourism demand. We propose an empirical application with observations of tourist arrivals from 2013 to 2019 for 101 municipalities on the Spanish Mediterranean coast. Seawater deterioration is evaluated using a specific indicator of the ecological status of the sea, chlorophyll, derived from images provided by the European Spatial Agency Sentinel-3 satellite. Based on this information, we estimate the beta-convergence specification of tourist arrivals by using a spatial Seemingly Unrelated Regression (SUR). Our results confirm the existence of an accelerating nonlinear effect of seawater pollution on the beta convergence process of tourism demand. Once a municipality surpasses a threshold value in terms of pollution, tourists who had previously visited popular destinations move to less well-known, less polluted municipalities along the coast. In addition, we find significant spatial spillover effects among municipalities in this process.

Suggested Citation

  • Mariluz Mate-Sanchez-Val & Genoveva Aparicio-Serrano, 2022. "Seawater deterioration and the tourist beta convergence process: A geospatial big data analysis of the Spanish Mediterranean coast," Current Issues in Tourism, Taylor & Francis Journals, vol. 25(18), pages 2922-2938, September.
    • Handle: RePEc:taf:rcitxx:v:25:y:2022:i:18:p:2922-2938
    DOI: 10.1080/13683500.2021.2021156
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13683500.2021.2021156
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/13683500.2021.2021156?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Aparicio, Genoveva & Camacho, Maximo & Maté-Sánchez-Val, Mariluz, 2024. "Quantifying the impact: Are coastal areas impoverished by marine pollution?," Ecological Economics, Elsevier, vol. 221(C).

    More about this item

    Statistics

    Access and download statistics

    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:taf:rcitxx:v:25:y:2022:i:18:p:2922-2938. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/rcit .

    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.