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Military expenditure and income distribution in South Korea

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  • Yemane Wolde-Rufael

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.

Suggested Citation

  • Yemane Wolde-Rufael, 2016. "Military expenditure and income distribution in South Korea," Defence and Peace Economics, Taylor & Francis Journals, vol. 27(4), pages 571-581, August.
  • Handle: RePEc:taf:defpea:v:27:y:2016:i:4:p:571-581
    DOI: 10.1080/10242694.2014.960247
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    1. M.T. Hirnissa & Muzafar Habibullah & A.H. Baharom, 2009. "Defense Spending and Income Inequality: Evidence from Selected Asian Countries," Modern Applied Science, Canadian Center of Science and Education, vol. 3(5), pages 1-96, May.
    2. Jorg Breitung, 2005. "A Parametric approach to the Estimation of Cointegration Vectors in Panel Data," Econometric Reviews, Taylor & Francis Journals, vol. 24(2), pages 151-173.
    3. Hong, Jihyung & Knapp, Martin & McGuire, Alistair, 2011. "Income-related inequalities in the prevalence of depression and suicidal behaviour: a 10-year trend following economic crisis," LSE Research Online Documents on Economics 32102, London School of Economics and Political Science, LSE Library.
    4. Adem Y. Elveren, 2012. "Military Spending and Income Inequality:Evidence on Cointegration and Causality for Turkey,1963--2007," Defence and Peace Economics, Taylor & Francis Journals, vol. 23(3), pages 289-301, April.
    5. Sari, Ramazan & Soytas, Ugur, 2004. "Disaggregate energy consumption, employment and income in Turkey," Energy Economics, Elsevier, vol. 26(3), pages 335-344, May.
    6. James B. Ang, 2010. "Finance and Inequality: The Case of India," Southern Economic Journal, John Wiley & Sons, vol. 76(3), pages 738-761, January.
    7. Granger, Clive W. J., 2003. "Some aspects of causal relationships," Journal of Econometrics, Elsevier, vol. 112(1), pages 69-71, January.
    8. Asteriou, Dimitrios & Dimelis, Sophia & Moudatsou, Argiro, 2014. "Globalization and income inequality: A panel data econometric approach for the EU27 countries," Economic Modelling, Elsevier, vol. 36(C), pages 592-599.
    9. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    10. Das, Mitali & Mohapatra, Sanket, 2003. "Income inequality: the aftermath of stock market liberalization in emerging markets," Journal of Empirical Finance, Elsevier, vol. 10(1-2), pages 217-248, February.
    11. Eric S. Lin & Hamid E. Ali, 2009. "Military Spending and Inequality: Panel Granger Causality Test," Journal of Peace Research, Peace Research Institute Oslo, vol. 46(5), pages 671-685, September.
    12. Eric S. Lin & Hamid E. Ali & Yu-Lung Lu, 2015. "Does Military Spending Crowd Out Social Welfare Expenditures? Evidence from a Panel of OECD Countries," Defence and Peace Economics, Taylor & Francis Journals, vol. 26(1), pages 33-48, February.
    13. John D. Abell, 1994. "Military Spending and Income Inequality," Journal of Peace Research, Peace Research Institute Oslo, vol. 31(1), pages 35-43, February.
    14. �nal T�ng�r & Adem Y. Elveren, 2015. "Military Expenditures, Income Inequality, Welfare and Political Regimes: A Dynamic Panel Data Analysis," Defence and Peace Economics, Taylor & Francis Journals, vol. 26(1), pages 49-74, February.
    15. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    16. Lutkepohl, Helmut, 1982. "Non-causality due to omitted variables," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 367-378, August.
    17. Ali Hamid E., 2011. "Military Expenditures and Human Development: Guns and Butter Arguments Revisited: A Case Study from Egypt," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 17(1), pages 1-21, September.
    18. Florence Jaumotte & Subir Lall & Chris Papageorgiou, 2013. "Rising Income Inequality: Technology, or Trade and Financial Globalization?," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 61(2), pages 271-309, June.
    19. Johansen, Soren, 2000. "Modelling of cointegration in the vector autoregressive model," Economic Modelling, Elsevier, vol. 17(3), pages 359-373, August.
    20. Paul Turner, 2006. "Response surfaces for an F-test for cointegration," Applied Economics Letters, Taylor & Francis Journals, vol. 13(8), pages 479-482.
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    Cited by:

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    2. Manuchehr Irandoust, 2018. "Militarism and globalization: Is there an empirical link?," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(3), pages 1349-1369, May.
    3. Caruso Raul & Antonella Biscione, 2022. "Militarization and Income Inequality in European Countries (2000–2017)," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 28(3), pages 267-285, September.
    4. Adem Yavuz Elveren & Ünal Töngür & Tristian Myers, 2023. "Military spending and economic growth: A post-Keynesian model," Economics of Peace and Security Journal, EPS Publishing, vol. 18(2), pages 51-65, October.
    5. Caruso Raul & Antonella Biscione, 2022. "Militarization and Income Inequality in European Countries (2000–2017)," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 28(3), pages 267-285, September.

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