基于系统论的第三方物流信息系统分析

针对目前第三方物流信息系统的缺点和不足,引入系统论的思想和分析方法,分别对第三方物流信息系统的整体性、相干性、层次性和有序性进行了探讨,最后给出了基于系统论的第三方物流信息系统的模型和体系架构。     

我国建筑碳排放权交易体系发展现状研究

我国建筑能耗占到社会总能耗近30%,建筑节能任务艰巨。首先介绍我国建筑节能概况以及近年来政府的建筑节能工作,说明我国建筑碳排放权交易市场建设的政策目标以及措施。以天津和深圳建筑碳排放权交易系统为例,研究中国建筑碳排放权交易程序和方法学原理以及存在的问题。最后,介绍东京的建筑碳排放权交易市场的成功经验,与天津、深圳的建筑碳排放权交易市场作了对比,并提出发展我国建筑碳排放权交易体系的建议。     

非营利组织财务制度问题及构建对策研究

当前,我国非营利组织已暴露出许多财务问题,致使社会公益事业在某种程度上陷入了信任危机。在此现实背景下,本文依据新制度经济学,对我国非营利组织财务制度进行探讨,并提出相应的构建对策。非营利组织财务制度是用于规范组织财务活动、处理组织财务关系的一套行为规则。尽管我国非营利组织财务制度历经变迁,但依然难以有效指导和规范非营利组织财务活动。随着我国非营利组织数量和规模的持续增长,亟待从法律和财务规章层面构建相应的非营利组织财务制度。     

基于主成分分析的高校投入产出绩效评价

在科学建立高校投入与产出指标体系的基础上,利用主成分分析法对某地某类9所高校投入产出进行评价。一方面运用"产出/投入"模型计算绩效绝对分值和排名,另一方面利用投入和产出排名来定性分析投入与产出的协调性。两种方法的综合运用,为我国开展高校绩效评价提供参考和借鉴。     

北京市生态足迹的投入产出分析

生态足迹是可持续发展最重要的测度指标之一.本文将投入产出分析技术引入生态足迹模型,使用北京市2005年投入产出延长表等数据衡量了北京市的可持续发展状况.结果表明:北京市2005年生态足迹总需求为3853.8万公顷.约为北京市土地总面积的23倍;人均生态足迹为2.51公顷,高于其生态承载力.北京的经济发展尚处于不可持续状态.     

A Simple Derivation of Moments of the Exponentiated Weibull Distribution

The Exponentiated Weibull family is an extension of the Weibull family obtained by adding an additional shape parameter. The beauty and importance of this distribution lies in its ability to model monotone as well as non-monotone failure rates which are quite common in reliability and biological studies. As with any other distribution, many of its interesting characteristics and features can be studied through moments. Presently, moments of this distribution are available only under certain restrictions. In this paper, a general derivation of moments without any restriction whatsoever is proposed. A compact expression for moments is presented.     

基于双指数跳扩散过程的亚式期权的解析定价

研究了双指数跳-扩散模型下亚式期权的定价,得到了这些期权定价得解析公式。在风险中性下,亚式期权的值在恰当的边际条件和终值条件下满足广义Black-Scholes方程;我们提出一种在跳扩散模型下亚式期权定价的新方法。该方法在于为亚式期权所满足的偏积分——微分方程指定恰当的边际条件和终值条件;然后,利用拉普拉斯变换求解该方程,得到了亚式期权的解析定价公式。     

Interregional Interdependence and Regional Economic Growth: An Interregional Input-Output Analysis of the Kyushu Region

The main objective of this paper is to examine the effects of the changes in economic conditions and government policies on the output growth of the Kyushu region between 1965 and 1990. This study uses the extended growth-factor decomposition method based on a three-region Japanese interregional input-output system consisting of Kyushu, Kanto, and the rest of Japan. The growth pattern of Kyushu changed noticeably over the period. The primary drivers of growth changed from the expansion of final demand within Kyushu to direct and indirect effects from outside Kyushu. This unambiguously indicates that Kyushu has facilitated interregional and international interdependence. The emergence of the processing and assembling sector, together with the construction of new networks of trunk railway lines, expressways, and communications, promoted closer interregional industrial linkages between Kyushu, Kanto, and the rest of Japan. In addition, the offshore transfer of production from Kyushu to Southeast Asia after the Plaza Accord Agreement strengthened Kyushu's international industrial linkages.     

An International Comparison of Leontief Input-Output Coefficients and its Application to Structural Growth Patterns

Empirical sectoral analyses of a standard development pattern have focused upon changes in the value added, disregarding the structural changes in intermediate input. In a more comprehensive approach to the production function, the present paper analyses both sectoral intermediate inputs and the value added by using 45 input-output tables to discover a standard pattern of the changes in the input-output coefficients as an economy develops. The major findings are first a U-shape pattern of the average value added ratio and, conversely, an inverse U-shape pattern of the average intermediate input ratio. Secondly, as compared with principal input coefficients that are broadly stable, supplementary input coefficients exhibit the non-linear trends of an inverse U shape contributed by a rising trend in agriculture in the early stages, and a growing energy cost in most sectors, although this is partly offset by mild U shapes of transport and distribution costs. A similar inverse U-shape pattern is implied for the Leontief multiplier.     

论现代会计信息系统对流程管理的依赖性

本文通过分析总结现代会计信息系统与流程管理的核心,论证现代会计信息系统的建立、完善与实施 对流程管理的依赖性。研究在现代会计信息系统中流程管理的应用原则,并对现代会计信息系统的销售／收款业 务进行流程管理应用的案例分析。     

契约储蓄对金融市场的潜在影响

契约储蓄机构包括养老基金和寿险公司。养老基金和寿险公司的特殊之处在于他们的债务期限为长期结构。这类储蓄机构的投资可以使金融市场上长期资金的供给增加,也由于其投资的长期性,使证券市场的效率、透明度和竞争程度整体上会得到提高,交易成本趋于下降。此外,使银行的行为更加理性化、长期化,从而使得金融市场上的资金需求方企业可以以更低的成本获得更多的长期资金,促进整个金融体系的健康稳定发展。     

高速公路智能交通系统(ITS)组成与应用

本文介绍了智能交通系统的主要研究内容,通过对智能交通系统主要研究内容的分析,总结出ITS在高速公路上的应用。     

中小企业战略管理系统的建立和完善

中小企业的健康成长对国民经济的可持续发展具有重要意义。本文将首先阐述企业战略管理系统的含义和影响因素,然后揭示目前中小企业在战略管理方面存在的问题,进而介绍企业战略管理系统的建立程序,根据不同企业规模和发展阶段,设计不同的企业战略管理系统,以达到提高企业生产效率,促进社会经济平稳健康发展的目的。     

An Overview of Six Sigma

We provide an introductory overview of the Six Sigma development and improvement processes. A historical perspective is provided. We also discuss the statistical methods frequently used within this framework and briefly comment on the impact of Six Sigma on the practice of statistics in industry.     

近五年对外汉字教学研究述评

本文以近五年(即2006-2010)年公开发表的论文为考察对象,根据对外汉字教学研究的内容,分专题评述其教学研究取得的成果及进展。     

An engineering approach to LSE modelling of experience curves in the electricity supply industry

This review is a supplement to the paper by Sharp and Price (1990) and should be regarded as an alternative engineering approach to the modelling and forecasting of experience, or learning, curves. It highlights the problems associated with accurately defining a model to time series that show a combination of a continuous trend and a cyclical component, as detected by the authors in the Sharp and Price data. The authors give a number of alternative perspectives of the same time series, in this case average thermal efficiency data from the U.K. electricity supply industry, with the corresponding conclusions associated with each approach. Particular attention is drawn to the use of the “time constant learning curve” quoted by Sharp and Price which the authors show is a reasonable predictor of the average thermal efficiency. However, a tremendous improvement results from selecting the “ripple” model as a thermal efficiency predictor.