Introduction to the Theory and Application of Data Envelopment Analysis: A Foundation Text with Integrated Software

Thanassoulis, Emmanuel

ISBN 10: 0792374290 / ISBN 13: 9780792374299

Published by Springer (edition 2001), 2001

About this Item

CD or DVD included. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Seller Inventory # 0792374290-8-1-15

Bibliographic Details

• Title: Introduction to the Theory and Application of Data Envelopment Analysis: A Foundation Text with Integrated Software
• Publisher: Springer (edition 2001)
• Publication Date: 2001
• Language: English
• ISBN 10: 0792374290
• ISBN 13: 9780792374299
• Binding: Hardcover
• Edition: 2001.
• Condition: Very Good

About this title

Synopsis

1 DATA ENVELOPMENT ANALYSIS Data Envelopment Analysis (DEA) was initially developed as a method for assessing the comparative efficiencies of organisational units such as the branches of a bank, schools, hospital departments or restaurants. The key in each case is that they perform feature which makes the units comparable the same function in terms of the kinds of resource they use and the types of output they produce. For example all bank branches to be compared would typically use staff and capital assets to effect income generating activities such as advancing loans, selling financial products and carrying out banking transactions on behalf of their clients. The efficiencies assessed in this context by DEA are intended to reflect the scope for resource conservation at the unit being assessed without detriment to its outputs, or alternatively, the scope for output augmentation without additional resources. The efficiencies assessed are comparative or relative because they reflect scope for resource conservation or output augmentation at one unit relative to other comparable benchmark units rather than in some absolute sense. We resort to relative rather than absolute efficiencies because in most practical contexts we lack sufficient information to derive the superior measures of absolute efficiency. DEA was initiated by Charnes Cooper and Rhodes in 1978 in their seminal paper Chames et al. (1978). The paper operationalised and extended by means of linear programming production economics concepts of empirical efficiency put forth some twenty years earlier by Farrell (1957).