IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v58y2024i5d10.1007_s11135-024-01852-7.html
   My bibliography  Save this article

Modelling the economic effect of inbound birth tourism: a random forest algorithm approach

Author

Listed:
  • Sakiru Adebola Solarin

    (Multimedia University)

  • Muhammed Sehid Gorus

    (Ankara Yildirim Beyazit University)

  • Onder Ozgur

    (Ankara Yildirim Beyazit University)

Abstract

Due to the tourism sector being one of the main drivers of economic growth in several countries, many studies have been conducted on the economic impact of the tourism sector. However, the economic effect of the different tourism activities, especially birth tourism has not been sufficiently explored in the existing literature. Using different proxies that capture the development of birth tourism, we examine the economic effect of birth tourism on economic growth in New Zealand for the period, 1980–2019. Novel machine-learning techniques including random forest algorithm and partial dependence plots have been used to estimate the relationship between the variables in a framework, which also include capital stock and financial development. The empirical findings of this study show that there is a non-linear relationship between per capita income and birth tourism-related variables in New Zealand. These results offer fresh insights to policymakers on the importance of birth tourism.

Suggested Citation

  • Sakiru Adebola Solarin & Muhammed Sehid Gorus & Onder Ozgur, 2024. "Modelling the economic effect of inbound birth tourism: a random forest algorithm approach," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(5), pages 4223-4240, October.
    • Handle: RePEc:spr:qualqt:v:58:y:2024:i:5:d:10.1007_s11135-024-01852-7
    DOI: 10.1007/s11135-024-01852-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-024-01852-7
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s11135-024-01852-7?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.

    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:spr:qualqt:v:58:y:2024:i:5:d:10.1007_s11135-024-01852-7. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.