IDEAS home Printed from https://ideas.repec.org/p/fau/wpaper/wp2019_38.html
   My bibliography  Save this paper

Impact of Terrorist Incidents on Tourism in Africa, the Middle East, and South Asia: A Dynamic Heterogeneous Panel Approache

Author

Listed:
  • Ugur Gok

    (Institute of Economic Studies, Faculty of Social Sciences, Charles University, Opletalova 21, 110 00, Prague, Czech Republic)

  • Ikechukwu Nwaka

    (Department of Economics, Girne American University (GAU), North Cyprus, Turkey)

Abstract

Africa, the Middle East, and South Asian countries have been attracting the lowest number of tourists in recent decades and consequently, have the lowest share from the tourism industry. In this research paper, we investigated whether the aforementioned regions’ poor performance in the tourism industry is due to growing terrorism in the region. Our results indicate that terrorism plays a deterrent role in the tourist’s decision-making process for traveling to those countries. By using both the cross-sectional augmented distributed lag (CS-DL) and the cross-sectional ARDL (CS-ARDL) estimators, we found that there is a significant negative impact of terrorism on tourism.

Suggested Citation

  • Ugur Gok & Ikechukwu Nwaka, 2019. "Impact of Terrorist Incidents on Tourism in Africa, the Middle East, and South Asia: A Dynamic Heterogeneous Panel Approache," Working Papers IES 2019/38, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2019.
    • Handle: RePEc:fau:wpaper:wp2019_38
    as

    Download full text from publisher

    File URL: https://ies.fsv.cuni.cz/en/veda-vyzkum/working-papers/6197
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    tourism; terrorism; CS-ARDL; CS-DL; cross-sectional dependence;
    All these keywords.

    JEL classification:

    • D74 - Microeconomics - - Analysis of Collective Decision-Making - - - Conflict; Conflict Resolution; Alliances; Revolutions
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • H56 - Public Economics - - National Government Expenditures and Related Policies - - - National Security and War
    • L83 - Industrial Organization - - Industry Studies: Services - - - Sports; Gambling; Restaurants; Recreation; Tourism

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:fau:wpaper:wp2019_38. 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: Natalie Svarcova (email available below). General contact details of provider: https://edirc.repec.org/data/icunicz.html .

    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.