589
Views
11
CrossRef citations to date
0
Altmetric
Original Articles

Military expenditure and income distribution in South Korea

Pages 571-581 | Received 02 Apr 2013, Accepted 20 Aug 2014, Published online: 16 Apr 2015
 

Abstract

This paper attempts to investigate the long-run and the causal relationship between military expenditure and income distribution in South Korea for the period 1965–2011. Applying the bounds test approach to cointegration, we found a long-run relationship between military expenditure and the Gini coefficient with military expenditure having a positive and a statistically significant impact on income inequality. A 1% rise in military expenditure increased the Gini coefficient by 0.38%. Application of the lag-augmented causality test also reveals a unidirectional causality running from military expenditure to income inequality. The evidence seems to suggest that devoting more resources to the military sector may further worsen income inequality in South Korea.

Acknowledgements

I am grateful to the anonymous Referee for her/his useful comments and suggestions and also to Professor Christos Kollias for his encouragement. Any remaining errors and ambiguities are my own responsibility.

Notes

1 We are aware that exclusion of a relevant variable(s) makes the estimates not only biased as well as inconsistent, but also, no-causality in a bivariate system can result from neglected variables (Lȕtkepohl Citation1982).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 417.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.