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Data Envelopment Analysis

A Handbook of Empirical Studies and Applications

  • Joe Zhu

Part of the International Series in Operations Research & Management Science book series (ISOR, volume 238)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Yao Chen, Greg N. Gregoriou, Fabrice Douglas Rouah
    Pages 1-16
  3. Ming-Miin Yu, Li-Hsueh Chen
    Pages 17-43
  4. Christian Growitsch, Tooraj Jamasb, Christine Müller, Matthias Wissner
    Pages 71-91
  5. I. M. Premachandra, Joe Zhu, John Watson, Don U. A. Galagedera
    Pages 165-228
  6. Antonella Basso, Stefania Funari
    Pages 229-287
  7. Emmanuel Thanassoulis, Kristof De Witte, Jill Johnes, Geraint Johnes, Giannis Karagiannis, Conceição S. Portela
    Pages 367-438
  8. Thomas R. Sexton, Christie Comunale, Michael Shane Higuera, Kelly Stickle
    Pages 439-462
  9. Dhruv Grewal, Michael Levy, Anuj Mehrotra, Arun Sharma
    Pages 469-490
  10. Dhruv Grewal, Gopalkrishnan R. Iyer, Wagner A. Kamakura, Anuj Mehrotra, Arun Sharma
    Pages 491-513
  11. John S. Liu, Louis Y. Y. Lu, Wen-Min Lu
    Pages 543-574
  12. Back Matter
    Pages 575-587

About this book

Introduction

This handbook compiles state-of-the-art empirical studies and applications using Data Envelopment Analysis (DEA). It includes a collection of 18 chapters written by DEA experts. Chapter 1 examines the performance of CEOs of U.S. banks and thrifts. Chapter 2 describes the network operational structure of transportation organizations and the relative network data envelopment analysis model. Chapter 3 demonstrates how to use different types of DEA models to compute total-factor energy efficiency scores with an application to energy efficiency. In chapter 4, the authors explore the impact of incorporating customers' willingness to pay for service quality in benchmarking models on cost efficiency of distribution networks, and chapter 5 provides a brief review of previous applications of DEA to the professional baseball industry, followed by two detailed applications to Major League Baseball.

Chapter 6 examines efficiency and productivity of U.S. property-liability (P-L) insurers using DEA, while chapter 7 presents a two-stage network DEA model that decomposes the overall efficiency of a decision-making unit into two components. Chapter 8 presents a review of the literature of DEA models for the perfoemance assessment of mutual funds, and chapter 9 discusses the management strategies formulation of the international tourist hotel industry in Taiwan. Chapter 10 presents a novel use of the two-stage network DEA to evaluate sustainable product design performances. In chapter 11 authors highlight limitations of some DEA environmental efficiency models, and chapter 12 reviews applications of DEA in secondary and tertiary education.

Chapter 13 measures the relative performance of New York State school districts in the 2011-2012 academic year. Chapter 14 provides an introductory prelude to chapters 15 and 16, which both provide detailed applications of DEA in marketing. Chapter 17 then shows how to decompose a new total factor productivity index that satisfies all economically-relevant axioms from index theory with an application to U.S. agriculture. Finally, chapter 18 presents a unique study that conducts a DEA research front analysis, applying a network clustering method to group the DEA literature over the period 2000 to 2014.

Keywords

DEA DEA Models Data Envelopment Analysis Integer DEA Production Tradeoffs Scale Elasticity

Editors and affiliations

  • Joe Zhu
    • 1
  1. 1.School of BusinessWorcester Polytechnic InstituteWorcesterUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4899-7684-0
  • Copyright Information Springer Science+Business Media New York 2016
  • Publisher Name Springer, Boston, MA
  • eBook Packages Business and Management
  • Print ISBN 978-1-4899-7682-6
  • Online ISBN 978-1-4899-7684-0
  • Series Print ISSN 0884-8289
  • Series Online ISSN 2214-7934
  • Buy this book on publisher's site
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