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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Duc Hong Vo & Minh Phuoc Bao Tran & Phuong Thi Ha Cao, 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, HO CHI MINH CITY OPEN UNIVERSITY JOURNAL OF SCIENCE, HO CHI MINH CITY OPEN UNIVERSITY, vol. 15(1), pages 38-53.
  • Handle: RePEc:bjw:econen:v:15:y:2025:i:1:p:38-53
    DOI: 10.46223/HCMCOUJS.econ.en.15.1.3062.2025
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    References listed on IDEAS

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    1. Diebold, Francis X. & Yılmaz, Kamil, 2014. "On the network topology of variance decompositions: Measuring the connectedness of financial firms," Journal of Econometrics, Elsevier, vol. 182(1), pages 119-134.
    2. Diebold, Francis X. & Yilmaz, Kamil, 2015. "Financial and Macroeconomic Connectedness: A Network Approach to Measurement and Monitoring," OUP Catalogue, Oxford University Press, number 9780199338306.
    3. Paul Dunne & Sam Perlo-Freeman, 2003. "The Demand for Military Spending in Developing Countries," International Review of Applied Economics, Taylor & Francis Journals, vol. 17(1), pages 23-48.
    4. Keith Hartley & Todd Sandler, 2001. "Economics of Alliances: The Lessons for Collective Action," Journal of Economic Literature, American Economic Association, vol. 39(3), pages 869-896, September.
    5. Droff Josselin & Julien Malizard, 2022. "Determinants of Defense Spending: The Role of Strategic Factors in France," Defence and Peace Economics, Taylor & Francis Journals, vol. 33(8), pages 938-955, November.
    6. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    7. J. Paul Dunne & Sam Perlo-Freeman & Ron Smith, 2008. "The Demand For Military Expenditure In Developing Countries: Hostility Versus Capability," Defence and Peace Economics, Taylor & Francis Journals, vol. 19(4), pages 293-302.
    8. Pesaran, H. Hashem & Shin, Yongcheol, 1998. "Generalized impulse response analysis in linear multivariate models," Economics Letters, Elsevier, vol. 58(1), pages 17-29, January.
    9. Christos Kollias & Suzanna Maria Paleologou & Panayiotis Tzeremes & Nickolaos Tzeremes, 2018. "The demand for military spending in Latin American countries," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 27(1), pages 1-17, December.
    10. Nikolaos Antonakakis & Ioannis Chatziantoniou & David Gabauer, 2020. "Refined Measures of Dynamic Connectedness based on Time-Varying Parameter Vector Autoregressions," JRFM, MDPI, vol. 13(4), pages 1-23, April.
    11. Yu Wang, 2013. "Determinants of southeast asian military spending in the post-cold war era: a dynamic panel analysis," Defence and Peace Economics, Taylor & Francis Journals, vol. 24(1), pages 73-87, February.
    12. J. Paul Dunne & Sam Perlo-Freeman, 2003. "The demand for military spending in developing countries: A dynamic panel analysis," Defence and Peace Economics, Taylor & Francis Journals, vol. 14(6), pages 461-474.
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    More about this item

    Keywords

    military spending; spillover effects; TVP-VAR based approach;
    All these keywords.

    JEL classification:

    • H53 - Public Economics - - National Government Expenditures and Related Policies - - - Government Expenditures and Welfare Programs
    • H56 - Public Economics - - National Government Expenditures and Related Policies - - - National Security and War
    • H59 - Public Economics - - National Government Expenditures and Related Policies - - - Other

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