Advances in DEA theory and applications : with extensions to forecasting models - 4 0 16; 1931- Tone, Kaoru; 5 (Hoboken, NJ : John Wiley & Sons, 2017)
Title Page ; Copyright Page ; Contents; List of Contributors; About the Authors; Preface; Part 1 DEA Theory ; Chapter 1 Radial DEA Models; 1.1 Introduction; 1.2 Basic Data; 1.3 Input-Oriented CCR Model; 1.3.1 The CRS Model; 1.4 The Input-Oriented BCC Model; 1.4.1 The VRS Model; 1.5 The Output-Oriented Model; 1.6 Assurance Region Method; 1.7 The Assumptions behind Radial Models; 1.8 A Sample Radial Model; References; Chapter 2 Non-Radial DEA Models; 2.1 Introduction; 2.2 The SBM Model; 2.2.1 Input-Oriented SBM; 2.2.2 Output-Oriented SBM; 2.2.3 Non-Oriented SBM; 2.3 An Example of an SBM Model.;2.4 The Dual Program of the SBM Model2.5 Extensions of the SBM Model; 2.5.1 Variable-Returns-to-Scale (VRS) Model; 2.5.2 Weighted-SBM Model; 2.6 Concluding Remarks; References; Chapter 3 Directional Distance DEA Models; 3.1 Introduction; 3.2 Directional Distance Model; 3.3 Variable-Returns-to-Scale DD Models; 3.4 Slacks-Based DD Model; 3.5 Choice of Directional Vectors; References; Chapter 4 Super-Efficiency DEA Models; 4.1 Introduction; 4.2 Radial Super-Efficiency Models; 4.2.1 Input-Oriented Radial Super-Efficiency Model; 4.2.2 Output-Oriented Radial Super-Efficiency Model.;4.2.3 Infeasibility Issues in the VRS Model4.3 Non-radial Super-Efficiency Models; 4.3.1 Input-Oriented Non-Radial Super-Efficiency Model; 4.3.2 Output-Oriented Non-Radial Super-Efficiency Model; 4.3.3 Non-Oriented Non-Radial Super-Efficiency Model; 4.3.4 Variable-Returns-to-Scale Models; 4.4 An Example of a Super-Efficiency Model; References; Chapter 5 Determining Returns to Scale in the VRS DEA Model; 5.1 Introduction; 5.2 Technology Specification and Scale Elasticity; 5.2.1 Technology; 5.2.2 Measure of Scale Elasticity; 5.2.3 Scale Elasticity in DEA Models; 5.3 Summary; References.;Chapter 6 Malmquist Productivity Index Models6.1 Introduction; 6.2 Radial Malmquist Model; 6.3 Non-Radial and Oriented Malmquist Model; 6.4 Non-Radial and Non-Oriented Malmquist Model; 6.5 Cumulative Malmquist Index (CMI); 6.6 Adjusted Malmquist Index (AMI); 6.7 Numerical Example; 6.7.1 DMU A; 6.7.2 DMU B; 6.7.3 DMU C; 6.7.4 DMU D; 6.8 Concluding Remarks; References; Chapter 7 The Network DEA Model; 7.1 Introduction; 7.2 Notation and Production Possibility Set; 7.3 Description of Network Structure; 7.3.1 Inputs and Outputs; 7.3.2 Links; 7.4 Objective Functions and Efficiencies.;7.4.1 Input-Oriented Case7.4.2 Output-Oriented Case; 7.4.3 Non-Oriented Case; Reference; Chapter 8 The Dynamic DEA Model; 8.1 Introduction; 8.2 Notation and Production Possibility Set; 8.3 Description of Dynamic Structure; 8.3.1 Inputs and Outputs; 8.3.2 Carry-Overs; 8.4 Objective Functions and Efficiencies; 8.4.1 Input-Oriented Case; 8.4.2 Output-Oriented Case; 8.4.3 Non-Oriented Case; 8.5 Dynamic Malmquist Index; 8.5.1 Dynamic Catch-up Index; 8.5.2 Dynamic Frontier Shift Effect; 8.5.3 Dynamic Malmquist Index; 8.5.4 Dynamic Cumulative Malmquist Index; 8.5.5 Dynamic Adjusted Malmquist Index.
Includes bibliographical references and index.
Online resource; title from digital title page (viewed on May 17, 2017).
Keywords: 2 -- 0; 6; Data envelopment analysis. -- 20; 20; Electronic books. -- 2