Abstract

Previous investigations on the military spending-inequality nexus (in South Africa) were underpinned by the assumption that military spending and inequality behaves in symmetric fashion and employed linear autoregressive distributed lag (ARDL) model in their analysis. This paper extends and improves upon prior studies by investigating the short-run and long-run asymmetric effect of military spending on South Africa’s income inequality. Using annual data from 1980 to 2017 and the asymmetric autoregressive distributed lag (NARDL) model by Shin et al. (2014), our paper revisits the military spending-income inequality nexus. We find evidence to suggest an asymmetric association between military and income inequality—income inequality responds differently to positive and negative shocks of military spending in the long- and short-run. Based on these findings, we conclude that the NARDL model delivers more accurate estimates and provides nuanced insights that the traditional linear ARDL.

Details

Title
Does military spending affect inequality in South Africa? A revisit
Author
Biyase, Mduduzi 1 ; Eita, Hinaunye 2 ; Udimal, Thomas Bilaliib 3 ; Talent Thebe Zwane 2   VIAFID ORCID Logo 

 Economic Development and Well-being Research Group (EDWRG) and School of Economics, University of Johannesburg, Johannesburg, South Africa 
 School of Economics, University of Johannesburg, Johannesburg, South Africa 
 School of Economics and Management, Southwest Forestry University, Kunming, China 
Publication year
2024
Publication date
Jan 2024
Publisher
Taylor & Francis Ltd.
e-ISSN
23322039
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3158484693
Copyright
© 2024 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.