IDEAS home Printed from https://ideas.repec.org/a/taf/rcitxx/v24y2021i10p1333-1339.html
   My bibliography  Save this article

Modeling tourism and fear nexus in G4 countries

Author

Listed:
  • Andrew Adewale Alola
  • Gizem Uzuner
  • Seyi Saint Akadiri

Abstract

In this paper, we examine whether there is a causal relationship between migration-related fear and tourism. To achieve the objective, a lag-augmented vector autoregressive (LA-VAR) model that generates country-specific causality test results is employed. The period covered extends from 1995Q1 to 2016Q4. To control for omitted variable bias, we include real gross domestic product per capita as an additional variable. Empirical results provide evidence of one-way causality running from migration-related fear to tourism, and neutrality hypothesis is confirmed in the relationship between migration-related fear and economic growth, and between tourism and economic growth. Although the study confirms the fear-induced tourism hypothesis, it however further submits that other determinants such as exchange rates and real gross domestic product are much more important than fear in determining the number of arrivals at a destination.

Suggested Citation

  • Andrew Adewale Alola & Gizem Uzuner & Seyi Saint Akadiri, 2021. "Modeling tourism and fear nexus in G4 countries," Current Issues in Tourism, Taylor & Francis Journals, vol. 24(10), pages 1333-1339, May.
  • Handle: RePEc:taf:rcitxx:v:24:y:2021:i:10:p:1333-1339
    DOI: 10.1080/13683500.2020.1750574
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/13683500.2020.1750574
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/13683500.2020.1750574?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.

    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:24:y:2021:i:10:p:1333-1339. 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.