水锤涌浪联合试验的变态模型相似律

该文详细推导了在同一个物理模型中同时模拟调压室涌浪和压力钢管中的水锤时应满足的变态模型相似律，结果应用于电站模型试验中。     

非稳定井流模型的半解析解

为了提高非稳定渗流计算的计算精度 ,通过数学分析得到了水位传导系数随时间变化时 ,一类非稳定渗流井流模型的半解析解 ,并进行了计算比较     

应用改进BP网络对潼关高程的预测

作者在分析了影响汛前和汛后潼关高程变化值的因素的基础上，利用改进BP网络模型对非特征汛期和汛期潼关高程的变化值进行了计算。计算中不采用潼关的绝对高程，而用高程的变化量作为网络的较出物正量，从而减少计算误差，同时又能客观地考虑各影响因子的作用。改进后的BP模型学习时间短，精度满足要求。用该模型计算的潼关高程变化趋势与实际水库调度运行中的高程基本吻合。     

如何计算认股权证的资本成本

认股权证作为一种长期资金的筹资方式 ,其资本成本必须予以考虑。但是使用传统资本成本计算方法不能反映其真实成本。本文尝试使用B -S和CAPM模型来计算其资本成本 ,并用实例说明     

跨国公司技术联盟:动因、效应及启示

跨国公司技术联盟是在经济全球化与一体化的国际背景下发展起来的，它被愈来愈多的人认为是一种知识联盟，是一种独立的组织形式。跨国公司进行技术联盟的动因在于：获取与企业核心技术相关的上下游技术、适应网络竞争的需要及促进研究与开发等。跨国公司技术联盟既给合作方带来一定的积极效应，同时也产生相当的负面影响。在当前，跨国公司技术联盟对我国企业进行技术联盟与合作有积极的借鉴意义。     

Time Inhomogeneous Multiple Volatility Modeling

Price variations at speculative markets exhibit positive autocorrelationand cross correlation. Due to large parameter spaces necessaryfor joint modeling of variances and covariances, multivariateparametric volatility models become easily intractable in practice.We propose an adaptive procedure that identifies periods ofsecond-order homogeneity for each moment in time. To overcomethe high dimensionality of the problem we transform the multivariateseries into a set of univariate processes. We discuss thoroughlythe implementation of the adaptive technique. Theoretical andMonte Carlo results are given. We provide two applications ofthe new method. For a bivariate exchange rate series we comparethe multivariate GARCH approach with our method and find thelatter to be more in line with the underlying assumption ofindependently distributed innovations. Analyzing a 23-dimensionalvector of asset returns we underscore the case for adaptivemodeling in high-dimensional systems.     

R&D strategy and Australian manufacturing industry: an empirical investigation of emphasis and effectivness

This research investigates the degree of emphasis placed by the Australian manufacturing industry on Research and Development (R&D) strategy as well as on other organisational strategies such as marketing, HRs (HR), technology, and operations at the functional level. The research extends further to investigate whether the emphasis on R&D strategy differs with contextual factors such as firm size, firm’s generic strategy, type of market, firm’s life cycle stage, etc. A mail survey was carried out to collect information from manufacturing firms across Australia. This was followed by an on-site interview of some of the senior managers of manufacturing firms from three Australian states: South Australia, Victoria and New South Wales.The study found that although the emphasis on R&D strategy has received a high priority in the past few years, it has not been as effective as the operations strategy and the technology strategy. The operations strategy has been accorded the highest importance in the past few years and this will continue in the future. The study also indicated that firms, which adopt a differentiation generic strategy, put more emphasis on R&D than the firms, which adopt cost leadership and focus generic strategies. The results did not indicate any evidence of a relationship between firm size and the R&D strategy although large firms are found to put more emphasis on operations and marketing strategies. Relatively higher emphasis was placed on the R&D strategy by businesses: at the growth stage; involved in the manufacture of consumer goods as opposed to industrial goods; involved in exports with a higher sales growth in export markets; and having a higher growth rate relative to their industry.     

A computational general equilibrium model with vintage capital

This paper presents a vintage capital model assuming putty–clay investment and perfect foresight. The model is written in discrete time and is simulated by using a second order relaxation algorithm. By computing the eigenvalues of the dynamic system, we have checked the conditions of existence and uniqueness of a solution (Blanchard and Kahn's conditions) and identified the echo effect that characterizes vintage capital models and the related dynamics of creation and destruction. By calibrating the model on French data, it has been proved useful to explain the medium-term movements in the distribution of income in France during the last three decades.     

Negotiation support using the Graph Model for Conflict Resolution

The Graph Model for Conflict Resolution is a flexible methodology for systematically studying strategic conflicts in the real world, and is therefore a natural tool for negotiation support. The basic definitions underlying the graph model are reviewed, and the techniques for analysis and interpretation are discussed. The modeling and analysis of a case study, an international trade negotiation concerning the export of Canadian softwood lumber to the United States, are used to demonstrate the practical application of the Graph Model for Conflict Resolution as a negotiation support tool. The modeling and analysis is carried out using the GMCR software system. The ability of the Graph Model for Conflict Resolution to provide insights and advice to negotiators is emphasized.     

Carbon tax simulations using a household demand model

The main objective of this paper is to analyse consumer response and welfare effects due to changes in energy or environmental policy. To achieve this objective we formulate and estimate an econometric model for non-durable consumer demand in Sweden that utilises micro- and macro-data. In the simulations, we consider two revenue neutral scenarios that both imply a doubling of the CO₂ tax; one that returns the revenues in the form of a lower VAT and one that subsidise public transport. One conclusion from the simulations is that the CO₂ tax has regional distribution effects, in the sense that household living in sparsely populated areas carry a larger share of the tax burden.