Commodity currencies

This paper looks at real exchange rate behavior by focusing on three OECD economies (Australia, Canada, and New Zealand) where primary commodities constitute a significant share of their exports. For Australia and New Zealand especially, we find that the US dollar price of their commodity exports (generally exogenous to these small economies) has a strong and stable influence on their floating real rates, with the magnitude of the effects consistent with predictions of standard theoretical models. However, after controlling for commodity price shocks, there is still a purchasing power parity puzzle in the residual. The results here are relevant to developing commodity-exporting countries as they liberalize their capital markets and move towards floating exchange rates.     

Catching up: The role of demand, supply and regulated price effects on the real exchange rates of four accession countries

The main aim of this paper is to examine the exchange rate behaviour of a group of four transitional, EU accession countries, with a view to making policy recommendations regarding their full accession to the European Monetary Union. We employ a dynamic OLS panel estimator to investigate the relative importance of demand and supply influences on the exchange rates of these countries. Our analysis shows that both supply‐ and demand‐side effects are important for the accession countries, although their overall effect on inflation differentials and competitiveness seems to be small. An additional focus of the paper is the examination of the role that administrated, or regulated, prices and the productivity of the distribution sector play in the real exchange rate dynamics. Using a unique database we show that administrative prices have been a powerful force behind price and real exchange developments for our group of accession countries. The distribution sector is shown to have an independent effect on the internal price ratio over and above that generated by the Balassa–Samuelson effect.     

高技术企业业绩评价指标体系的五维度框架设计

业绩评价已成为政府、市场和企业普遍关注的现实问题，指标体系是业绩评价的基础，指标体系构建的好坏直接影响到业绩评价的效果。高技术企业业绩的评价应结合高技术企业的特点，构建财务、产品与技术创新、智力资本开发、价值链流程、可持续发展五个维度的评价指标体系。     

2005年国际金融市场回顾与2006年展望

2005年的国际金融市场走势跌宕起伏,股票市场表现不一,债券市场基本上是区间波动走势,外汇市场美元一枝独秀,石油价格冲高回落而黄金的表现也引人注目。决定市场走势的因素是美国经济表现稳健,欧、日经济相形见绌,同时美国利率持续上升。2006年受房地产市场降温的影响,美国经济可能温和放缓,利率很快见顶,将对金融市场产生重大影响,总体而言风险加大。     

基于制约理论的成本管理模式研究

环境的变化要求相应的成本管理模式发生变革。本文首先分析了环境变化对企业成本管理的影响,之后对作业成本法的管理思想的前提假设进行分析,指出它对于现代企业成本管理的局限性及其产生这些局限性的主要原因。最后,在分析制约理论核心原理的基础上,提出了一种基于制约理论的成本管理模式,试图为研究适应现代企业的成本管理模式提供新的思路。     

国有企业“债转股”政策:功能缺陷与制度依赖——项基于国有企业“债转股”政策跟踪调查的研究

伴随着我国经济体制改革向纵深发展,国有企业负债比率过高的问题更加突出显示出来。为了解决这个问题,我国实施了“债转股”政策。本文讨论四个命题:(1)国有企业是负债比率过高还是收益率过低;(2)“债转股”政策究竟是使国有企业“财务解困”还是“体制解困”;(3)“债转股”政策究竟是转移金融风险还是化解金融风险;(4)资产管理公司为国有企业和国有商业银行解困,将来谁为资产管理公司解困。本文认为“债转股”政策设计存在功能缺陷与制度依赖。国有企业“债转股”政策的成功依赖于国有企业(商业银行)现代企业制度的建立与完善。     

企业并购活动中目标企业选择的层次分析评估研究

企业并购是企业进行资本扩张、促进企业间存量资源合理统流动的重要途径。对企业并购中的目标企企的选择、价值评估进行研究，构建我国企业并前过程中目标企业选择的评价指标体系，运用AHP法对目标企业选择进行定量化评估，将有利于企业通过并购后，实现资源的最优配置．保证企业经营机制协调、有效地运行。     

MTS在CSI测评中的应用

在顾客满意度指数测评理论中，引入马田系统的思想，通过相对与理想态基准空间马氏距离的比较，并通过定义典型的质量子模式，根据择近原则，可快速实现顾客满意度指数测评的质量模式识别。     

基于Agent的物流配送决策支持系统研究

物流配送是一个涉及多种影响因素的综合性复杂问题。本文探讨了基于Agent(智能体技术)的物流配送决策支持系统设计，在该系统中的智能体模型中引入学习机制，初步建立了一个具有专家系统特点、可以不断进化的物流配送决策支持系统。     

Robustness issues in multilevel regression analysis

A multilevel problem concerns a population with a hierarchical structure. A sample from such a population can be described as a multistage sample. First, a sample of higher level units is drawn (e.g. schools or organizations), and next a sample of the sub‐units from the available units (e.g. pupils in schools or employees in organizations). In such samples, the individual observations are in general not completely independent. Multilevel analysis software accounts for this dependence and in recent years these programs have been widely accepted. Two problems that occur in the practice of multilevel modeling will be discussed. The first problem is the choice of the sample sizes at the different levels. What are sufficient sample sizes for accurate estimation? The second problem is the normality assumption of the level‐2 error distribution. When one wants to conduct tests of significance, the errors need to be normally distributed. What happens when this is not the case? In this paper, simulation studies are used to answer both questions. With respect to the first question, the results show that a small sample size at level two (meaning a sample of 50 or less) leads to biased estimates of the second‐level standard errors. The answer to the second question is that only the standard errors for the random effects at the second level are highly inaccurate if the distributional assumptions concerning the level‐2 errors are not fulfilled. Robust standard errors turn out to be more reliable than the asymptotic standard errors based on maximum likelihood.