A dynamic panel analysis using SIPRI’s extended military expenditure data: The case of Middle Power nations

IF 1.1 Q3 ECONOMICS
M. Douch, B. Solomon
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引用次数: 5

Abstract

This study employs SIPRI’s extended military expenditure dataset to estimate a dynamic panel analysis of Middle Powers’ defense posture. The dynamic approach, particularly the Auto Regressive Distributed Lag (ARDL) approach, permits simultaneous, but separate, assessment of short- and long-run effects of a particular variable on military expenditure. We verify the robustness of earlier findings on Middle Power nations’ defense posture. In particular, their military expenditure tends to an income elasticity of greater than one indicating that military power is, at least in part, a status good. In addition, Middle Powers react to threat variables that proxy global instability, such as nuclear power proliferation, and they use foreign aid as a complementary policy tool. Competing demands for funds lead to significant tradeoffs between military and nonmilitary government spending.
使用SIPRI扩展军费开支数据的动态面板分析:以中等大国为例
本研究采用SIPRI的扩展军费数据集来估计中等大国防御态势的动态面板分析。动态方法,特别是自动回归分布滞后(ARDL)方法,允许同时但分开地评估某一特定变量对军事开支的短期和长期影响。我们验证了先前关于中等强国防御态势的研究结果的稳健性。特别是,它们的军事开支往往具有大于1的收入弹性,这表明军事力量至少在一定程度上是一种良好的地位。此外,中等大国对代表全球不稳定的威胁变量(如核扩散)做出反应,并将外援作为一种补充政策工具。对资金的竞争需求导致军事和非军事政府开支之间的重大权衡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
1.00
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