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15(1)2025

The spillover effects of military spending across superpowers using the TVP - VAR approach


Author - Affiliation:
Duc Hong Vo - Ho Chi Minh City Open University, Ho Chi Minh City , Vietnam
Minh Phuoc Bao Tran - Ho Chi Minh City Open University, Ho Chi Minh City , Vietnam
Phuong Thi Ha Cao - Ho Chi Minh City Open University, Ho Chi Minh City , Vietnam
Corresponding author: Phuong Thi Ha Cao - phuong.cth@ou.edu.vn
Submitted: 08-11-2023
Accepted: 02-02-2024
Published: 01-07-2024

Abstract
The amount of money spent on military activities across superpowers globally has generally caused significant concerns regarding military conflicts, the arms race, economic growth development, security, political stability, and governance. This paper investigates the spillover effects of military spending among the world’s largest spenders on military activities over the period 1997 - 2022. We use the advanced Time-Varying Parameter Vector Autoregressive (TVP-VAR) model to examine these effects, which is not used in the literature on defense economics. Our empirical results indicate the dynamic international spillovers of military spending among eleven countries. We find that the average total dynamic military spending connectedness was at the strongly interrelated level of 83.84 percent, ranging from 89.37 percent to 94.23 percent. Among these eleven, the world's largest spenders on military activities, the USA (China) is the most significant contributor (receiver) of total spillover. At the same time, Australia and Iran transmitted and received the least spillover of military spending.

JEL codes
H53; H56; H59

Keywords
military spending; spillover effects; TVP-VAR based approach

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Cite this paper as:

Vo, D. H., Tran, M. P. B., & Cao, P. T. H. (2025). The spillover effects of military spending across superpowers using the TVP - VAR approach. Ho Chi Minh City Open University Journal of Science – Economics and Business Administration, 15(1), 38-53. doi:10.46223/HCMCOUJS.econ.en.15.1.3062.2025


References

Ali, H. E., & Galbraith, J. (2003). Military expenditures and inequality: Empirical evidence from global data (UTIP Working Paper No.24). The University of Taxas.


Antonakakis, N., Chatziantoniou, I., & Gabauer, D. (2020). Refined measures of dynamic connectedness based on time-varying parameter vector autoregressions. Journal of Risk and Financial Management, 13(4). https://doi.org/10.3390/jrfm13040084


Diebold, F. X., & Yilmaz, K. (2009). Measuring financial asset return and volatility spillovers, with application to global equity markets. The Economic Journal, 119(534), 158-171.


Diebold, F. X., & Yilmaz, K. (2012). Better to give than to receive: Predictive directional measurement of volatility spillovers. International Journal of Forecast, 28(1), 57-66.


Diebold, F. X., & Yilmaz, K. (2014). On the network topology of variance decompositions: Measuring the connectedness of financial firms. The Economic Journal, 182(1),119-134.


Diebold, F. X., & Yilmaz, K. (2015). Financial and macroeconomic connectedness: A network approach to measurement and monitoring. Oxford University Press.


Droff, J., & Malizard, J. (2022). Determinants of defense: The role of strategic factors in France. Defence and Peace Economics, 33(8), 938-955. https://doi.org/10.1080/10242694.2021.1907985


Dune, J. P., & Perlo-Freeman, S. (2003). The demand for military spending in developing countries: A dynamic panel analysis. Defence and Peace Economics, 14(6), 461-474.


Dunne, J., Perlo-Freeman, S., & Soydan, A. (2004). Military expenditures and debt in small-industrialised economics: A panel analysis. Defence and Peace Economics, 15(2), 125-132.


Dunne, P., & Perlo-Freeman, S. (2003). The demand for military spending in developing countries. International Review of Applied Economics, 17(1), 23-48.


Dunne, P., Perlo-Freeman, S., & Smith, R. P. (2008). The demand for military expenditure in developing countries: Hostility versus capability. Defence and Peace Economics, 19(4), 293-302. https://doi.org/10.1080/10242690802166566


Engle, R. F., Ito, T., & Lin, W. L. (1990). Meteor showers or heat waves? Heteroskedastic intra-daily volatility in the foreign exchange market. Econometrica 58(3), 525-542. https://doi.org/10.2307/2938189


Flores, A. Q. (2011). Alliances as contiguity in spatial models of military expenditures. Conflict Management and Peace Science, 28(4), 402-418.


Hou, N., & Chi, Z. (2022). Sino-U.S. relations and the demand for Sino-U.S. relations and military expenditure in the Indo-Pacific region. Defence and Peace Economics, 33(6), 751-766.


Kollias, C.,  Paleologou, S. M., Tzeremes, P., & Tzeremes, N. (2018). The demand for military spending in Latin American countries. Latin American Economic Review, 27(11). https://doi.org/10.1186/s40503-018-0059-8


Koop, G., Pesaran, M. H., & Potter, S. M. (1996). Impulse response analysis in nonlinear multivariate models. Journal of Econometrics, 74(1), 119-147.


Looney, R. E., & Frederiksen, P. C. (1986). Defense expenditures, external public debt and growth in developing countries. Journal of Peace Research, 23(4), 329-337. 


Odehnal, J., & Neubauer, J. (2018). Economic, security, and political determinants of military spending in NATO countries. Defence and Peace Economics, 31(5), 517-531. https://doi.org/10.1080/10242694.2018.1544440


Olson, M., & Zeckhauser, R. (1966). An economic theory of alliances. The Review of Economics and Statistics, 48(3), 266-279.


Pesaran, H. H., & Shin, Y. (1998). Generalized impulse response analysis in linear multivarite models. Economics Letters, 58(1), 17-29.


Richardson, L. F. (1960). Arms and insecurity: A mathematical study of causes and origins of war. Boxwood Press.


Sandler, T., & Keith, H. (2001). Economics of alliances: The lessons for collective action. Journal of Economic Literature, 39(3), 869-896. https://doi.org/10.1257/jel.39.3.869


Seiglie, C. (2016). Openness of the economy, terms of trade, and arms. Southern Economic Association, 82(3), 748-759. https://doi.org/.org/10.1002/soej.12033


Shahbaz, M., Afza, T., & Shabbir, M. S. (2013). Does defense spending impede economic growth? Cointegration and causality analysis for Pakistan. Defence and Peace Economics, 24(2), 105-120.


Smith, R. P. (1989). Models of military expenditure. Journal of Applied Econometrics, 4(4), 345-359. https://doi.org/10.1002/ jae.3950040404


Solarin, S. A. (2017). Determinants of military expenditure and the role of globalisation in a cross-country analysis. Defence and Peace Economics, 29(7), 853-870.


Wang, Y. (2013). Determinants of Southeast Asian military spending in the Post-cold war Era: A dynamic panel analysis. Defence and Peace Economics, 24(1), 73-87. https://doi.org/10.1080/10242694.2012.656944


Yalta, A. T., & Yalta, A. Y. (2021). The determinants of defense spending in the Gulf Region. Defence and Peace Economics, 33(8), 980-992.


Yesilyurt, E., & Elhorst, P. (2017). Impacts of neighboring countries on military expenditures: A dynamic spatial panel. Journal of Peace Research, 54(6), 777-790. https://doi.org/10.1177/002234331770756



DOI: https://doi.org/10.46223/HCMCOUJS.econ.en.15.1.3062.2025
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