THE LONG‐RUN RELATIONSHIP BETWEEN DEFENCE EXPENDITURES AND GDP IN TAIWAN

Using the Solow–Swan growth model and the time‐trend included in the aggregate production function, this study applies the multivariate cointegration approach to re‐investigate the long‐run and causal relationships between defence expenditures and GDP while controlling for capital and labour input in Taiwan during the 1955–2002 period. It examines the long‐run causal relationship using the weak exogeneity test and utilizes general impulse response functions to determine whether a shock to defence expenditures affects economic growth or vice versa. Our findings provide substantive evidence in favour of the existence of a long‐run equilibrium cointegrated relationship between defence expenditures, GDP, labour and capital stock. The results of the weak exogeneity test indicate that a bi‐directional causal relationship exists in the long‐run between defence expenditures and GDP. Thus, the main policy implication that emerges from the long‐run results is that increasing defence expenditures in Taiwan is an effective means to boost overall economic performance and, with this improved economy, it should then be able to increase its defence expenditures further. Lastly, from our dynamic vector error correction model estimations, it is found that defence expenditures are a major means of adjusting for disequilibria that occur within the system.     

EFFECTS OF MILITARY SPENDING ON THE PROFITABILITY OF SPANISH DEFENCE CONTRACTORS

The traditional view of the defence industry obtaining large profits from contracts with the Ministry of Defence relies on several assumptions. Among these are the use of such arrangements as an instrument of industrial policy, the strong market power enjoyed by prime contractors, and the inefficiency encouraged by the sector. The findings show that defence contracts have a positive effect on profits, as well as the prizes for innovation and the market power enjoyed by some defence subsectors.     

MILITARY EXPENDITURE AND UNEMPLOYMENT RATES: GRANGER CAUSALITY TESTS USING GLOBAL PANEL DATA

This paper investigates the empirical relationships between military expenditure and unemployment rates. A set of global panel data on 46 countries is utilized, and a panel data version of the Granger causality test is applied. The results indicate that there is little evidence of the causality running from unemployment to military expenditure regardless of how we measure military spending and determine group countries. In contrast, the causality running from military expenditure to unemployment receives empirical support if military expenditure is measured in terms of its share of GDP and if data are taken from middle‐ and low‐income countries or non‐OECD countries.     

Export controls,market structure and international coordination

We look at the different ways of aggregating the exports of dual use products to give the security perception of exporter countries and their consistency with the relevant export control regimes. Also, we analyze different models of export controls highlighting the role of the perception of security, market structure and competition between exporting firms in determining the existence of multiple equilibria and therefore, the need for coordination between countries in setting export controls.     

改进的笛卡尔遗传编程组合电路演化设计

利用笛卡尔遗传编程进行电路演化时,存在收敛速度慢、收敛时间波动较大等问题．对笛卡尔遗传编程中的可编程单元模型进行改进,增加与目标函数相关的逻辑运算,去除无关的逻辑运算,从而提高演化算法命中目标的概率．利用改进的笛卡尔遗传编程方法分别对电机换相电路和乘法器等组合电路进行演化设计．结果表明,改进后的方法明显缩短了电路演化生成的时间,且收敛时间波动较小．     

基于Ansofl的PMLS发电机纵向边端效应仿真

永磁直线同步发电机特殊的结构使其存在一种特殊现象——纵向边端效应,从而严重影响了永磁直线同步发电机的性能。利用有限元电磁场分析软件Ansoft建立了永磁直线同步发电机的二维模型,分析了纵向边端效应产生的原因,以及纵向边端效应对永磁直线同步发电机初级磁场的影响。利用磁阻相等的原理,通过增加发电机端部齿宽度和极数两种方法来改善永磁直线发电机性能。经Ansoft软件仿真,结果表明增加端部齿宽度和极数可以有效抑制纵向边端效应,提高永磁直线同步发电机的性能。     

A mathematical formulation and efficient heuristics for the dynamic container relocation problem

The container relocation problem (CRP) is concerned with emptying a single yard‐bay which contains J containers each following a given pickup order so as to minimize the total number of relocations made during their retrieval process. The CRP can be modeled as a binary integer programming (IP) problem and is known to be NP‐hard. In this work, we focus on an extension of the CRP to the case where containers are both received and retrieved from a single yard‐bay, and call it the dynamic container relocation problem. The arrival (departure) sequences of containers to (from) the yard‐bay is assumed to be known a priori. A binary IP formulation is presented for the problem. Then, we propose three types of heuristic methods: index based heuristics, heuristics using the binary IP formulation, and a beam search heuristic. Computational experiments are performed on an extensive set of randomly generated test instances. Our results show that beam search heuristic is very efficient and performs better than the other heuristic methods.Copyright © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 101–118, 2014     

Optimal replacement of continuously degrading systems in partially observed environments

Motivated by wind energy applications, we consider the problem of optimally replacing a stochastically degrading component that resides and operates in a partially observable environment. The component's rate of degradation is modulated by the stochastic environment process, and the component fails when it is accumulated degradation first reaches a fixed threshold. Assuming periodic inspection of the component, the objective is to minimize the long‐run average cost per unit time of performing preventive and reactive replacements for two distinct cases. The first case examines instantaneous replacements and fixed costs, while the second considers time‐consuming replacements and revenue losses accrued during periods of unavailability. Formulated and solved are mixed state space, partially observable Markov decision process models, both of which reveal the optimality of environment‐dependent threshold policies with respect to the component's cumulative degradation level. Additionally, it is shown that for each degradation value, a threshold policy with respect to the environment belief state is optimal if the environment alternates between two states. The threshold policies are illustrated by way of numerical examples using both synthetic and real wind turbine data. © 2015 Wiley Periodicals, Inc. Naval Research Logistics 62: 395–415, 2015