IDEAS home Printed from https://ideas.repec.org/a/taf/defpea/v35y2024i7p908-930.html
   My bibliography  Save this article

Analysis of the Economic Effects of Defence Spending in Spain: A Re-Examination Through Dynamic ARDL Simulations and Kernel-Based Regularized Least Squares

Author

Listed:
  • Ourania Dimitraki
  • Kyriakos Emmanouilidis

Abstract

Spain’s economic growth over the last few decades constitutes a rather distinctive case in post-World War II Europe, which has attracted international academic interest. This paper examines the relationship between Spain’s military expenditure and economic growth during the period 1954-2021 to shed further light. Using the recently developed method of Dynamic Autoregressive Distributive Lag (DARDL) simulation proposed by Jordan and Philips (2018) and the Kernel-Based Regularized Least Squares (KRLS) technique which accounts for potential non-linearities, interactions, and heterogeneous effects, this paper tests the short and long – run equilibrium relationship between military expenditure and economic growth in Spain. Furthermore, with the cumulative sum (CUSUM) and cumulative sum of squares (CUSUMSQ) tests, we examine the stability of the above relationship. The results show that there is a positive short and long – run relationship between military expenditure and economic growth in Spain during the period under study. However, when we stratify our sample (before and after Spain’s democratization), the positive relationship is sustained only during the years of the non – democratic regime. This has further policy implications as policymakers in Spain need to carefully balance national security concerns with the need for sustained economic growth.

Suggested Citation

  • Ourania Dimitraki & Kyriakos Emmanouilidis, 2024. "Analysis of the Economic Effects of Defence Spending in Spain: A Re-Examination Through Dynamic ARDL Simulations and Kernel-Based Regularized Least Squares," Defence and Peace Economics, Taylor & Francis Journals, vol. 35(7), pages 908-930, October.
  • Handle: RePEc:taf:defpea:v:35:y:2024:i:7:p:908-930
    DOI: 10.1080/10242694.2023.2245698
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/10242694.2023.2245698
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/10242694.2023.2245698?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:defpea:v:35:y:2024:i:7:p:908-930. 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/GDPE20 .

    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.