TERRORISM AND DETERRENCE POLICY WITH TRANSNATIONAL SUPPORT 1

This study provides an explanation of terrorism by examining interactions between the terrorist group with a minority as a potential pool of recruits and the government supported by a majority. A hawkish deterrence policy makes it more risky for terrorists to launch attacks, but heightens the anti‐government feeling of the terrorist group. In addition, the payoff for the government depends not only on the payoff loss associated with the level of terrorism, but also on the political payoff from the action itself of adopting a hawk policy due to its politicians’ vested interests. We first show that whether the deterrence policy should be ‘hawk to ‘dove is closely dependent on the relationships among the risk associated with terrorism, the anti‐government feeling of the terrorist group, and the political payoff for the government. This study then introduces transnational support enhancing the capability of a terrorist group to intensify its activity and shows that the emergence of transnational support may cause the government to reform its deterrence policy from ‘dove’ toward ‘hawk,’ with terrorism intensified in the society.     

ANALYSING THE DETERMINANTS OF TERRORISM IN TURKEY USING GEOGRAPHICALLY WEIGHTED REGRESSION

This paper investigates the determinants of provincial terrorism in Turkey taking spatial dimension into account for the time period 1990–2006. Following a traditional global regression analysis, spatial variations in the relationships are examined with geographically weighted regression (GWR) to obtain locally different parameter estimates. Empirical results indicate that increases in income and schooling ratio tend to reduce the provincial average level of terrorism, whereas an increase in unemployment enhances it. Moreover, GWR results indicate that the provincial effects of per capita income and education are more pronounced for the Eastern and South Eastern provinces compared to the Western provinces.     

Economic Performance And Terrorist Activity In Latin America

We investigate the link between economic performance and terrorism for 18 Latin American countries from 1970 to 2007, taking into account the potentially complex nature of this link. Panel causality analysis findings indicate that during this period, terrorism had no causal effect on economic growth. By contrast, we find that growth reduced terrorism in the less developed but not in the higher developed Latin American economies. We argue that group-specific differences (linked to patterns of economic development) govern this causal heterogeneity. From a series of negative binomial regressions we gain additional support for our findings, while also identifying further determinants of terrorism.     

Revisiting the Defense–Growth nexus in European countries

This study revisits the long run and dynamic causal linkages between defense spending and economic growth in 15 selected European countries for the period 1988–2010 by utilizing recent developments in non-stationary panel data analysis. To this end, the series properties of per capita defense spending, per capita real capita stocks, and per capita real GDP are investigated by the panel unit root tests with and without breaks that support evidence on unit root. The panel cointegration tests with and without breaks are also subsequently employed to investigate whether there exists a long-run equilibrium relationship between these three variables. Finally, our causality analysis from panel vector error-correction model suggests that there is a feedback relation between real capital stock and real GDP in both short and long run, a one-way Granger causality running from real GDP to defense spending in both short and long run, and defense spending only Granger causes real capital stock in the long run.     

军民一体化装备保障中的协同性研究

军民一体化装备保障是今后我军的主要装备保障方式,其关键问题是解决装备保障力量的融合．为了解决这个问题,引入了协同理论,并对其引入的必要性和可行性进行了分析．在此基础上,对军民一体化装备保障的协同性进行了分析,重点对协同性机理和协同性的评价方法进行了阐述．     

武器装备体系保障需求建模方法研究

分析武器装备体系保障需求特征,阐述需求建模的目的,建立需求模型,该模型包括任务模型、任务-节点-能力关系模型及能力需求模型．按照分层思想,定量描述能力需求,为构建未来武器装备体系保障作出探索性研究．     

基于统计回归模型的突发事件网络舆情研究

突发事件网络舆情传播速度快,在较短的时间内能够引起社会大众的广泛关注,产生较大的影响.通过利用突发事件网络舆情传播规律和酶促反应相似的机理,构建统计回归模型来研究分析突发事件网络舆情的规律,并通过实例进行论证,以期为政府应对突发事件网络舆情提供参考.     

武警院校后勤应急保障社会化方式运用研究

武警院校在处突维稳、抢险救灾等应急任务中发挥着重要作用,但在实践中存在着后勤应急保障能力不足问题.分析武警院校应急保障社会化方式运用的必要性,提出具体运用对策和应注意的问题,以利于武警院校抓好应急保障能力建设,推动应急任务高质量完成.     

基于险度函数的装备供应链库存风险损失度量

目前,对供应链库存风险损失的定量研究比较少,而定量研究中鲜有对风险偏好变化问题的研究,因此首先分析了各种风险度量方法,通过比较采用了险度函数作为对装备供应链风险损失的度量方法;然后,结合装备供应链实际,提出了定常风险偏好特性险度函数和可变风险偏好特性险度函数的适用范围,以及装备供应链库存风险损失度量的损失水平值,并给出了装备供应链库存风险损失度量函数;最后,通过算例进行了验证.实验结果表明:行为人的不同风险偏好特性会对同一事态产生不同的预判,进而可能影响对风险的决策,这是符合客观现实的.     

Sequential learning versus no learning in Bayesian regression models

We consider two regression models: linear and logistic. The dependent variable is observed periodically and in each period a Bayesian formulation is used to generate updated forecasts of the dependent variable as new data is observed. One would expect that including new data in the Bayesian updates results in improved forecasts over not including the new data. Our findings indicate that this is not always true. We show there exists a subset of the independent variable space that we call the “region of no learning.” If the independent variable values for a given period in the future are in this region, then the forecast does not change with any new data. Moreover, if the independent variable values are in a neighborhood of the region of no learning, then there may be little benefit to wait for the new data and update the forecast. We propose a statistical approach to characterize this neighborhood which we call the “region of little learning.” Our results provide insights into the trade‐offs that exist in situations when the decision maker has an incentive to make an early decision based on an early forecast versus waiting to make a later decision based on an updated forecast. © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 532–548, 2014