On the Role of Weight Restrictions in Data Envelopment Analysis

This paper examines the role that weight restrictions play in Data Envelopment Analysis (DEA). It is argued that the decision to include a factor (input or output) in a DEA model represents an implicit judgement that the factor has a non-trivial weight. It therefore seems perverse to allow DEA to assign a trivial weight to that factor in assessing the efficiency of a unit. There is therefore a strong case for imposing restrictions on factor weights. However, many existing methods of weight restriction are in practice unwieldy. This paper proposes an alternative approach we term contingent weight restriction which is both practical and intellectually consistent with the DEA philosophy. The paper explores the implications of alternative methods of weight restriction using simulated data from a well known production process.     

Disciplining: A question of ethics?

The importance of evaluating a discipline system from an ethical perspective is considered. Disciplinary practices in contemporary organizations are frequently characterized by managers having to choose from among alternative courses of corrective action. Since the selected alternative may have serious consequences for the individuals involved, its rightness or wrongness is of concern. The pattern of these choices reflects the overall disciplinary practice of the organization, and is an issue that warrants attention from an ethical perspective. Basic schools of thought that influence contemporary discipline practices are discussed and suggestions are made for conducting an evaluation of the ethical nature of a discipline system.     

数据标准化框架研究

文章对数据标准化涉及的一些术语进行了定义,包括数据、数据元、元数据、元模型、元数据注册系统等。在此基础上提出数据标准化包括以下几个主要方面:数据内容(语义),交换格式(语法,包括数据结构和模式),形式化表示,数据维护机制和平台。这几项内容构成了数据!标准化的基本框架。     

基于制造业ERP构建企业多层数据仓库

文章针对目前制造业ERP在决策支持方面的不足,提出了基于制造业ERP构建由标准数据仓库、多维数据库和数据挖掘库等组成的企业多层数据仓库体系框架,阐述了该体系框架的构建方法和过程,并分析了一个应用实例。     

弱势群体就业扶持政策研究

分析了当前我国弱势群体失业情况的严重性、特殊性及其原因 ,提出了构建我国弱势群体扶持政策的基本原则及标本兼治、着眼未来的就业扶持政策     

Productive Efficiency of the Swine Industry in Hawaii: Stochastic Frontier vs. Data Envelopment Analysis

Improving productive efficiency is an increasingly important determinant of the future of the swine industry in Hawaii. This paper examines the productive efficiency of a sample of swine producers in Hawaii by estimating a stochastic frontier production function and the constant returns to scale (CRS) and variable returns to scale (VRS) output-oriented DEA models. The technical efficiency estimates obtained from the two frontier techniques are compared. The scale properties are also examined under the two approaches. The industry's potential for increasing production through improved efficiency is also discussed.     

Localized Innovation and Productivity Growth in Asia: An Intertemporal DEA Approach

Recent contributions to growth theory stress the importance of localized innovation for the performance of more backward countries. In earlier papers, analyses by means of DEA techniques confirmed this intuition. In this paper, we extend this type of analysis by relaxing the macroeconomic viewpoint adopted until now. New databases on output, labor and capital input in the agricultural and manufacturing sectors are developed for 40 countries. Using intertemporal DEA, it is found that changes in the global production frontier are localized at high levels of capital intensity. This result is stronger in agriculture than in manufacturing. Further, a decomposition of labor productivity growth in eight Asian countries for the period 1975–1992 into the effects of capital intensification, learning and innovation is made. The results suggest that there is a particular development path in which increases in capital intensity appear to be a prerequisite to benefit from international technology spillovers.JEL Classification: O14, O30, O40, O47     

进入权理论下的会计师事务所股权设置

Rajan和Zingales提出了进入权理论，认为企业的权力来源于进入权，即对关键资源接触和使用的权力。本文结合会计师事务所的特征，在分析其关键资源的基础上，建议会计师事务所的股权应设置为财产股、岗位股、贡献股。     

Lower Bound Restrictions on Intensities in Data Envelopment Analysis

We propose an extension to the basic DEA models that guarantees that if an intensity is positive then it must be at least as large as a pre-defined lower bound. This requirement adds an integer programming constraint known within Operations Research as a Fixed-Charge (FC) type of constraint. Accordingly, we term the new model DEA_FC. The proposed model lies between the DEA models that allow units to be scaled arbitrarily low, and the Free Disposal Hull model that allows no scaling. We analyze 18 datasets from the literature to demonstrate that sufficiently low intensities—those for which the scaled Decision-Making Unit (DMU) has inputs and outputs that lie below the minimum values observed—are pervasive, and that the new model ensures fairer comparisons without sacrificing the required discriminating power. We explain why the low-intensity phenomenon exists. In sharp contrast to standard DEA models we demonstrate via examples that an inefficient DMU may play a pivotal role in determining the technology. We also propose a goal programming model that determines how deviations from the lower bounds affect efficiency, which we term the trade-off between the deviation gap and the efficiency gap.     

Selecting Sites for New Facilities Using Data Envelopment Analysis

This paper develops a mathematical programming model for obtaining a best set of sites for planned facilities. The model is concerned with those situations where resource constraints are present. The specific setting for the paper involves the selection of sites for a set of retail outlets, wherein the ratio of aggregate outputs to inputs for the selected set is maximal among all possible sets that could be chosen. At the same time, the model guarantees that the only sets of stores allowable are those for which the available resources are used to the maximum extent possible.