Data Envelopment Analysis : A Handbook of Empirical Studies and Applications

Intro -- Preface -- Contents -- Contributors -- Chapter 1: Efficiency Persistence of Bank and Thrift CEOs Using Data Envelopment Analysis -- 1.1 Introduction -- 1.2 Literature Review -- 1.3 Data and Methodology -- 1.3.1 CEO Compensation, Efficiency, and Persistence -- 1.4 Empirical Results -- 1.5 Discussion -- 1.6 Conclusion -- References -- Chapter 2: Assessment of Transportation Performance: A Network Structure -- 2.1 Introduction -- 2.2 Transportation Performance -- 2.3 Network Data Envelopment Analysis in Transportation -- 2.4 Other Issues for Transportation Applications -- 2.4.1 Route-Based Performance Evaluation -- 2.4.2 Environmental Factors -- 2.4.3 Undesirable Outputs -- 2.4.4 Multi-activity Framework -- 2.5 Examples -- 2.5.1 Route-Based Network DEA Model -- 2.5.1.1 The Data -- 2.5.1.2 Empirical Results -- 2.5.2 Multi-activity DEA Model with Environmental Factors and Undesirable Output -- 2.5.2.1 The Data -- 2.5.2.2 Empirical Results -- 2.5.3 Multi-activity Network DEA Model with Environmental Factors -- 2.5.3.1 The Data -- 2.5.3.2 Empirical Results -- 2.6 Conclusions -- References -- Chapter 3: Total-Factor Energy Efficiency and Its Extensions: Introduction, Computation and Application -- 3.1 Introduction -- 3.2 The Concept of Total-Factor Input and Output Efficiency -- 3.3 DEA Models for Energy Efficiency Study -- 3.3.1 Proportional Adjustment Models Without Undesirable Outputs -- 3.3.1.1 All Inputs Can Be Radially Adjusted -- 3.3.1.2 All Inputs Can Be Proportionally Adjusted with Different Ratios -- 3.3.1.3 Only Energy Can Be Radially Adjusted -- 3.3.2 Slack-Based Models Without Undesirable Outputs -- 3.3.3 DEA Models with Energy Use and Pollutant Emissions -- 3.4 An Illustration of Regional Energy Efficiency in China -- 3.5 Further Extended Topics -- 3.5.1 Selection of Input and Output Variables.