How are China''s state-owned enterprises doing in the 1990s? Evidence from three interior provinces

Since its inception in the early 1980s, the success of China's enterprise reforms remains hotly debated. This paper introduces a new element into the analysis of state-owned enterprise performance by drawing on the recent increase in inter-regional income disparities. It is argued that as a result of less favourable structural conditions and stronger fiscal dependence on the central government, reform implementation in the interior provinces has lagged behind the progress made along the coast. This hypothesis is investigated using enterprise survey data from three interior provinces which is compared to a similar survey carried out earlier in four coastal cities. The evidence generally supports the view of larger administrative restrictions in the interior and relatively poor economic performance.     

Futures and forward price differential and the effect of marking‐to‐market: Australian evidence

The objective of this paper is to examine the effects of marking‐to‐market of futures contracts on the price differential between futures and forward contracts based on the predictions of the Cox, Ingersoll and Ross (1981) (CIR) model. Cox et al ., (1981) derive a series of propositions with respect to the relationship between futures and forward prices and a set of testable implications. These are tested empirically in this paper using Australian data from November 1991 to June 1997. The results provide evidence of the presence of significant futures and forward price differences, where the futures price is consistently below the forward price. Only partial support is found for the Cox et al ., (1981) propositions, implying that the effect of marking‐to‐market is not able to fully account for the price differential. Therefore, it is not possible to rule out the influence of other institutional factors on the futures‐forward price difference.     

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。     

知识管理在供应链中的应用研究

随着知识经济时代的到来,知识管理的重要性日益突出.本文结合案例,试图将知识管理的基本理念和方法从单个企业拓展到整条供应链中,并提出了其中的一些问题和挑战.     

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。     

Sample Design and Allocation for Random Digit Dialling

Sample design and sample allocation methods are developed for random digit dialling in household telephone surveys. The proposed method is based on a two-way stratification of telephone numbers. A weighted probability proportional to size sample allocation technique is used, with auxiliary variables about the telephone coverage rates, within local telephone exchanges of each substrata. This makes the sampling design nearly “self-weighting” in residential numbers when the prior information is well assigned. A computer program generates random numbers for the local areas within the existing phone capacities. A simulation study has shown greater sample allocation gain by the weighted probabilities proportional to size measures over other sample allocation methods. The amount of dialling required to obtain the sample is less than for proportional allocation. A decrease is also observed on the gain in sample allocation for some methods through the increasing sample sizes.     

Probability theory in fuzzy sample spaces

This paper tries to develop a neat and comprehensive probability theory for sample spaces where the events are fuzzy subsets of The investigations are focussed on the discussion how to equip those sample spaces with suitable -algebras and metrics. In the end we can point out a unified concept of random elements in the sample spaces under consideration which is linked with compatible metrics to express random errors. The result is supported by presenting a strong law of large numbers, a central limit theorem and a Glivenko-Cantelli theorem for these kinds of random elements, formulated simultaneously w.r.t. the selected metrics. As a by-product the line of reasoning, which is followed within the paper, enables us to generalize as well as to bring together already known results and concepts from literature.Acknowledgement. The author would like to thank the participants of the 23rd Linz Seminar on Fuzzy Set Theory for the intensive discussion of the paper. Especially he is indebted to Professors Diamond and Höhle whose remarks have helped to get deeper insights into the subject. Additionally, the author is grateful to one anonymous referee for careful reading and valuable proposals which have led to an improvement of the first draft.This paper was presented at the 23rd Linz Seminar on Fuzzy Set Theory, Linz, Austria, February 5–9, 2002.     

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.