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Does Military Spending Nonlinearly Affect Economic Growth in South Africa?

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  • Andrew Phiri

Abstract

Using annual data collected from 1988 to 2015, this study provides evidence of a non-linear relationship between military spending, economic growth and other growth determinants for the South African economy. The empirical study is based on estimates of a logistic smooth transition regression (LSTR) model and our empirical results point to an inverted U-shaped relationship between military spending and economic growth for the data. Furthermore, our empirical results suggest that the current levels of military spending, as a component of total government expenditure, are too high in the South African economy and need to be transferred towards more productive non-military expenditure in order to improve the performance of economic growth and other growth determinants.

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  • Andrew Phiri, 2019. "Does Military Spending Nonlinearly Affect Economic Growth in South Africa?," Defence and Peace Economics, Taylor & Francis Journals, vol. 30(4), pages 474-487, June.
    • Handle: RePEc:taf:defpea:v:30:y:2019:i:4:p:474-487
    DOI: 10.1080/10242694.2017.1361272
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    Cited by:

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    3. Kyriakos Emmanouilidis & Christos Karpetis, 2022. "Cross–Country Dependence, Heterogeneity and the Growth Effects of Military Spending," Defence and Peace Economics, Taylor & Francis Journals, vol. 33(7), pages 842-856, October.
    4. Charles Shaaba Saba & Nicholas Ngepah, 2022. "Nexus between defence spending, economic growth and development: evidence from a disaggregated panel data analysis," Economic Change and Restructuring, Springer, vol. 55(1), pages 109-151, February.
    5. Babalwa Mapapu & Andrew Phiri, 2017. "Carbon emissions and economic growth in South Africa: A quantile regression approach," Working Papers 1713, Department of Economics, Nelson Mandela University, revised Oct 2017.
    6. Charles Shaaba Saba & Nicholas Ngepah, 2021. "Nexus between telecommunication infrastructures, defence and economic growth: a global evidence," Netnomics, Springer, vol. 22(2), pages 139-177, December.
    7. Saba, Charles Shaaba, 2023. "Nexus between CO2 emissions, renewable energy consumption, militarisation, and economic growth in South Africa: Evidence from using novel dynamic ARDL simulations," Renewable Energy, Elsevier, vol. 205(C), pages 349-365.
    8. Kassouri, Yacouba & Altıntaş, Halil, 2020. "Threshold cointegration, nonlinearity, and frequency domain causality relationship between stock price and Turkish Lira," Research in International Business and Finance, Elsevier, vol. 52(C).
    9. Saba Charles Shaaba, 2022. "Defence Spending and Economic Growth in South Africa: Evidence from Cointegration and Co-Feature Analysis," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 28(1), pages 51-100, February.
    10. Roseline Tapuwa Karambakuwa & Ronney Ncwadi & Andrew Phiri, 2020. "The human capital–economic growth nexus in SSA countries: what can strengthen the relationship?," International Journal of Social Economics, Emerald Group Publishing Limited, vol. 47(9), pages 1143-1159, July.
    11. Duygu Yolcu Karadam & Nadir Öcal & Jülide Yildirim, 2023. "Distinct Asymmetric Effects of Military Spending on Economic Growth for Different Income Groups of Countries," Defence and Peace Economics, Taylor & Francis Journals, vol. 34(4), pages 477-494, May.
    12. Khalid Zaman, 2019. "Does higher military spending affect business regulatory and growth specific measures? Evidence from the group of seven (G-7) countries," Economia Politica: Journal of Analytical and Institutional Economics, Springer;Fondazione Edison, vol. 36(1), pages 323-348, April.
    13. Charles Shaaba Saba & Nicholas Ngepah, 2022. "Nexus between telecommunication infrastructures, defence and economic growth: a global evidence," Netnomics, Springer, vol. 22(2), pages 139-177, October.
    14. Andrew Phiri, 2020. "Creative industries and economic performance: Should South Africa go to the movies?," Working Papers 2002, Department of Economics, Nelson Mandela University, revised Jan 2020.

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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • H56 - Public Economics - - National Government Expenditures and Related Policies - - - National Security and War
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General

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