Arming the Two Koreas: State, Capital and Military Power by Taik-Young Hamm

By Taik-Young Hamm

North Korea has regularly been visible as militarily greater to South Korea within the lengthy feud among the 2 countries. This brilliantly argued publication faucets right into a good deal of stories curiosity in North Korea for the time being within the wake of contemporary hostility opposed to Japan. Hamm controversially exhibits that the got inspiration of Koreas army power is partially a delusion created by means of South Korea to justify an enormous programme of rearmament.

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The second set of hypotheses covers the dialectical relationship between state power and armament. The third is about economic function of armament, while the fourth is about state power and autonomy. One can easily note close parallels between H4-1 and H4-2 on the one hand and H2-2 on the other. That is, the level and especially, composition of state power largely determines the degree of the autonomy of the military or the pro-armament coalition. Likewise, H1-3 and H4-2 refer to the same thing viewed from different perspectives.

Whether the military is in charge does not matter. 91 However, it does not mean that more liberal or democratic governments always constrain armament. 93 Hence, a more dialectical conception of the state and state power is required. That is, the relationship between coercion and hegemony is not zero-sum, and the hegemonic project or the mobilisation of popular support does not necessarily require more welfare spending as it is usually assumed by the welfare liberals. 94 The US arms buildup drive under President Reagan is a good example.

56 Basically, the incrementalism model performs better – the first conclusion would be that the hypothesis of internally stimulated armament usually prevails. However, we cannot but doubt whether the incrementalism model (Xt = ƒ Xt–1) is an explanation or just a mere prediction without an explanation. If it is a prediction based on description, we need an explanation; if it is an explanation, it is a shallow one at best. A time-series budgetary data like those of population or GNP is highly auto-correlated, but we do not explain GNP by GNP .

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