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Introduction to the Theory and Application of Data Envelopment Analysis

A Foundation Text with Integrated Software

  • Book
  • © 2001

Overview

Authors:
  1. Emmanuel Thanassoulis

    1. Aston Business School, Aston University, Birmingham, England

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xxiii
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  2. Introduction to Performance Measurement

    • Emmanuel Thanassoulis
    Pages 1-20

  3. Definitions of Efficiency and Related Measures

    • Emmanuel Thanassoulis
    Pages 21-35

  4. Data Envelopment Analysis under Constant Returns to Scale: Basic Principles

    • Emmanuel Thanassoulis
    Pages 37-64

  5. Data Envelopment Analysis under Constant Returns to Scale: General Models

    • Emmanuel Thanassoulis
    Pages 65-88

  6. Using Data Envelopment Analysis in Practice

    • Emmanuel Thanassoulis
    Pages 89-121

  7. Data Envelopment Analysis under Variable Returns to Scale

    • Emmanuel Thanassoulis
    Pages 123-162

  8. Assessing Policy Effectiveness and Productivity Change Using DEA

    • Emmanuel Thanassoulis
    Pages 163-197

  9. Incorporating Value Judgements in DEA Assessments

    • Emmanuel Thanassoulis
    Pages 199-225

  10. Extensions to Basic DEA Models

    • Emmanuel Thanassoulis
    Pages 227-250

  11. A Limited User Guide for Warwick DEA Software

    • Emmanuel Thanassoulis
    Pages 251-269

  12. Back Matter

    Pages 271-281
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Keywords

About this book

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).

Authors and Affiliations

  • Aston Business School, Aston University, Birmingham, England

    Emmanuel Thanassoulis

Bibliographic Information

  • Book Title: Introduction to the Theory and Application of Data Envelopment Analysis

  • Book Subtitle: A Foundation Text with Integrated Software

  • Authors: Emmanuel Thanassoulis

  • DOI: https://doi.org/10.1007/978-1-4615-1407-7

  • Publisher: Springer New York, NY

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer Science+Business Media New York 2001

  • Hardcover ISBN: 978-0-7923-7429-9Published: 31 July 2001

  • Softcover ISBN: 978-1-4613-5538-0Published: 01 March 2013

  • eBook ISBN: 978-1-4615-1407-7Published: 29 June 2013

  • Edition Number: 1

  • Number of Pages: XXIII, 281

  • Topics: Economic Theory/Quantitative Economics/Mathematical Methods, Operations Research/Decision Theory, Econometrics, Microeconomics

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