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W. Struys 《Defence and Peace Economics》2013,24(1):75-76
La Conversion économique du secteur militaire, J. FONTANEL, Economica, Paris, 1994, pp. 112. Paperback. ISBN 2–7178–2650–5. 相似文献
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Defence expenditures have both costs and benefits to the economy. The costs of defence expenditures are mainly emphasized as opportunity costs. On the other hand, defence spending may have growth‐promoting potential benefits: a rise in defence spending may result in a higher aggregate demand, production and employment. This paper examines empirically the effects of military expenditures on economic growth for Middle Eastern countries and Turkey, for the time‐period 1989–1999. The relationship between military expenditure and economic growth is investigated by using cross‐section and dynamic panel estimation techniques. Empirical analysis indicates that military expenditure enhances economic growth in the Middle Eastern countries and Turkey as a whole. 相似文献
805.
Sakiru Adebola Solarin 《Defence and Peace Economics》2013,24(7):853-870
AbstractAnecdotal evidence offers conflicting views on the impact of globalisation on military expenditure. We contribute to the existing literature by investigating the effect of globalisation on military expenditure in 82 countries for the period, 1989–2012. After introducing economic and strategic variables into the model, we utilise the dynamic panel generalised method of moments system to estimate the relationship in the variables. The empirical findings reveal that globalisation reduces both military burden and real military expenditure. The findings are consistent, irrespective of the globalisation indicator adopted. The policy implications of the results are explained. 相似文献
806.
Charles Anderton 《Defence and Peace Economics》2013,24(3):209-222
This article is organized around two major topics addressed by nineteenth and early twentieth century economists: (1) international economic relations and war and (2) economic activity in the shadow of conflict. My thesis is that an early and neglected reservoir of economic thought on peace and war exists and valuable perspectives on research in defense and peace economics can be gained by tapping into it. 相似文献
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For a three‐sector Feder‐Ram framework, we present time‐series, cross‐sectional estimates for two cohorts, consisting of Asian and Latin American countries. The estimates indicate that private investment, and defense and non‐defense public spending are growth promoting for alternative error components representations. For the best error components representation, greater growth enhancement is associated with the two forms of public spending in Asia than in Latin America, while the opposite comparison characterizes private investment. Although defense is growth promoting, an opportunity cost exists insofar as non‐defense spending, financed by defense spending, appears to give a small net boost to growth in Latin America. 相似文献
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AbstractWhile not always a concern for the general economic growth literature, the debate over the effects of military spending on growth continues to develop, with no consensus, but a deepening understanding of the limitations of previous work. One important issue that has not been adequately dealt with is the endogeneity of military spending in the growth equation, mainly because of the difficulty of finding any variables that would make adequate instruments. This paper considers this issue, using an endogenous growth model estimated on a large sample of 109 non-high-income countries for the period 1998–2012. The empirical analysis is framed within an instrumental variable setting that exploits the increase in military spending that occurs when unrest in a country escalates to turmoil. The estimation results show that endogeneity arising from reverse causality is a crucial issue, with the instrumental variable estimates providing a larger significant negative effect of military spending on growth than OLS would. This result is found to be robust to different sources of heterogeneity and different time periods. 相似文献
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针对传统真值发现算法无法直接应用于文本数据的问题,提出基于深度神经网络面向多源文本数据的真值发现算法(NN_Truth)。根据文本答案多因素性、词语使用多样性以及文本数据稀疏性等特点,将“数据源-答案”向量作为网络输入,识别答案真值向量作为网络输出,依据真值发现的一般假设,无监督学习各数据源答案向量间关联关系,并最终获得答案真值。实验结果表明,该算法适用于文本数据真值发现场景,较基于检索的方法及传统真值发现算法效果更优。 相似文献