DEA在电力业上市公司绩效分析中的应用

本文运用数据包络分析的C2R模型和C2GS2模型,从公司治理角度测评了我国沪市电力业25家上市公司治理的总体效率、纯技术效率以及纯规模效率和规模效益状况,并结合聚类分析方法对测评结果进行了深入分析,为决策部门和电力业上市公司提高公司治理绩效提供参考依据。     

基于DEA的我国钢铁上市公司并购绩效研究

我国钢铁上市公司并购绩效是钢铁行业兼并重组切实关心的问题。文章使用数据包络分析DEA的二阶段改进模型,选取2008、2009两年在沪深两市发生的钢铁上市公司并购实践为原始样本,对10家上市公司并购前后的经营绩效进行了对比研究。研究发现：收购企业的总体绩效在并购当年就开始下降直到t+3年才恢复上升,这说明并购在总体上是失败的。同时我们对样本绩效均值进行了配对T检验,检验结果显示并购后的绩效相对于并购前明显下降。     

二次相对评价在科技投入产出评价中的应用

文章将二次相对评价思想应用到科技投入产出评价中,建立了能够消除客观基础条件优劣影响的科技投入产出的动态评价模型,并应用该模型对全国29个省、自治区、直辖市的科技投入产出进行二次相对评价,在评价结果基础上对各地区科技投入产出状况进行分析。     

基于DEA模型的我国商业银行效率的实证研究

以我国9家已上市的股份制商业银行为研究对象,基于各银行2006年的统计数据,运用数据包络分析方法,研究他们的投入产出效率值。并用该模型的测算结果与已有文献中2002年的银行效率排名作对比。经研究表明,股份制商业银行的效率已经有了很大改观,股份制改革对国有商业银行经营效率有一定的推动作用;政府也利用内部调整以及放松管制等手段,给予国有商业银行很大帮助。本研究的重要意义在于,为迅速有效得提高我国商业银行的经营效率,达到国际一流的银行业水平提供借鉴和参考。     

管理会计工具及应用案例——基于数据包络分析方法的标杆管理及应用

企业要在全球竞争激烈的市场中生存,捷径就是向那些在复杂的市场环境中始终保持优势的企业学习。标杆管理正是实现这一目的的有效管理手段和工具。在标杆管理的实施过程中,寻找合适的标杆对象至关重要,运用数据包络分析方法可优化标杆对象选择这一环节。文章总结归纳了标杆管理的概念、作用和流程,分析了运用数据包络分析方法进行标杆对象选择的优势,并介绍了基于数据包络分析方法的标杆管理在J公司的应用案例。     

网络DEA模型应用综述

随着复杂生产系统的深入发展,仅面向生产系统初始投入和最终产出的传统数据包络分析(DEA)模型已不再适用,网络DEA模型应运而生。本文从DEA模型的发展历史入手,介绍了网络DEA模型的相关概念和目前的主要研究方向,最后介绍网络DEA模型的应用领域。     

价值工程在贵金属电工材料采购中的实证研究

价值工程是一种将技术、经济与管理各学科结合在一起的先进管理方法。通过价值工程在某贵金属公司原材料采购方案的选择与分析的应用,说明价值工程在贵金属公司成本控制中的重要意义。文章在传统的价值工程应用实践的基础上,提出一种改进的价值工程应用模型。通过对应用价值工程优选的方案进行风险评估并制定应对策略,使应用模型更趋完善。研究旨在探讨价值工程在贵金属电工材料行业的应用,进一步延伸价值工程的应用领域。     

基于DEA评价的高校科技经费绩效研究

文章分析了高校科技经费绩效的发展现状,并重点通过DEA(数据包络分析)评价方法对28个省(市)的高校科技经费绩效相关数据进行了探讨。研究表明,全国28个省(市)中只有少部分高校科技经费绩效的技术效率和规模效益较为理想,大多数省(市)的高校科技经费绩效仍待提高;应积极制定高效、可持续的政策与制度以提升绩效。     

基于DEA模型的城市科技活动效率评价

将DEA理论应用于广东21城市科技活动的分析中，建立评价城市科技活动效率的数据包络分析模型，谊模型评价了各城市的总体效率和技术效率的状况，进而对非DEA有效的城市提出达到DEA有效的可行措施，并分析了城市科技活动效率和资源配置之间的关系。     

The effect of scale and mode of ownership on the financial performance of the Turkish banking sector: results of a DEA-based analysis

Turkey and the International Monetary Fund (IMF) agreed to a stand-by arrangement at the outset of 2000. Consequently, Turkey implemented an exchange-rate based stabilization program to combat its high inflation. However, two financial crises followed: one in November, 2000 and the other in February, 2001. As the result some banks became problematic. This necessitated restructuring of the banking sector to increase its financial efficiency.This paper presents a financial performance index for commercial banks. The index allows one to observe the effects of scale and of the mode of ownership (public/domestic, private/domestic/foreign) on bank behavior and, therefore, on bank performance in a developing economy. It documents the effects of financial liberalization, cross-country movements, and the impact of financial crises originating in neighboring countries e.g. Russia. The study applies Data Envelopment Analysis (DEA) to selected fundamental financial ratios using 1989-99 data from commercial banks in Turkey. Year-by-year results explain the effects on this sector of major shifts in both national macro-economic policy and various international developments. The banks that were taken over by the regulatory government agency most recently in the analyzed period were observed to perform poorly with respect to their DEA performance index values.     

组织绩效评价的DEA模型及应用

本文应用数据包络分析(DEA)模型C2R对几家大型医院的绩效进行了实证研究,一定程度上弥补了平衡记分法只侧重于对单个医院的组织绩效评价的不足之处,完善了对医院的组织绩效的评价体系,也为提高医院的组织绩效提供了参考依据和数据借鉴。     

评价与优选线路设计方案的DEA方法

根据数据包络分析方法的特点,提出了运用DEA模型对线路设计方案进行评价与优选,阐述了应用的步骤。通过实例验证了方法的可行性与有效性,并可得出非有效方案的缺陷所在,提出改进措施,为决策者提供更多管理信息。     

煤电价格联动机制实施的必要性及障碍

煤电价格联动机制的推出与实施过程在我国屡遭困境。本文结合近期国内部分地区电力供应紧张的情况,通过数据分析论述了煤电联动的必要性,同时对于实际实施中的困难进行了论述。     

Using data envelopment analysis to measure the efficiency of non-profit organizations: A critical evaluation

This study examines the potential effects of variable set expansion and data variations upon the efficiency scores generated using the Data Envelopment Analysis (DEA) model. It was found that variable set expansion (either through disaggregation of existing variables or addition of new factors) should produce an upward trend in efficiency scores. In addition, ample opportunity exists for ‘decision-making units’ to increase their efficiency scores through manipulation of reported data. In real-world applications of DEA, these problems must be resolved as much as possible (e.g. increased audit of data) in order to improve DEA's practical usefulness and reliability.     

The Application of Mathematical Programming Approaches to Estimating Container Port Production Efficiency

Container terminal production is both an important and complicated element in the contemporary global economy. This paper aims to evaluate the efficiency of the world’s most important container ports and terminals using the two alternative techniques of Data Envelopment Analysis (DEA) and the Free Disposal Hull (FDH) model. The results give an insight into the current efficiency ranking of the world’s major container ports and terminals. They also confirm expectations that the available mathematical programming methodologies lead to different results and that appropriate variable definition of input and output factors is a crucial element in meaningful applications of DEA and FDH. It is also concluded that the availability of panel data, rather than cross-sectional data would greatly improve the validity of the efficiency estimates derived from all the mathematical programming techniques applied.JEL Classification:C61, D24, E23, L23, L25, L92     

绿色供应链模式下的供应商选择

首先介绍了绿色供应链的内涵,然后在传统供应链供应商选择理论的基础上,根据环境管理标准（ISO14001系列）,经过扩展而建立了一种新的基于绿色供应链的供应商选择评价指标体系,将绿色信息作为绿色供应商评价的主要衡量指标之一;并结合传统数据包络分析法（DEA）和层次分析法AHP算法的优点,根据指标体系的特点采用DEA／AHP综合评价法．最后给出一个算例进行说明,为绿色供应商的决策提供了理论依据。     

Closest targets and minimum distance to the Pareto-efficient frontier in DEA

In this paper, we propose a general approach to find the closest targets for a given unit according to a previously specified criterion of similarity. The idea behind this approach is that closer targets determine less demanding levels of operation for the inputs and outputs of the inefficient units to perform efficiently. Similarity can be interpreted as closeness between the inputs and outputs of the assessed unit and the proposed targets, and this closeness can be measured by using either different distance functions or different efficiency measures. Depending on how closeness is measured, we develop several mathematical programming problems that can be easily solved and guarantee to reach the closest projection point on the Pareto-efficient frontier. Thus, our approach leads to the closest targets by means of a single-stage procedure, which is easier to handle than those based on algorithms aimed at identifying all the facets of the efficient frontier.

FDH Directional Distance Functions with an Application to European Commercial Banks

Weextend Free Disposable Hull (FDH) efficiency analysis towardsthe general directional distance function framework. The profitinterpretation of directional distance functions is extendedto the non-convex FDH technologies. In addition, we derive anefficient enumerative algorithm for computing distance measuresin Free Disposable Hull (FDH) technologies, which applies tothe entire (infinitely large) family of directional distancefunctions. A simple numerical example and an application to Europeancommercial banks illustrate the algorithm.