TY  - BOOK
AU  - Zhu,Joe
TI  - Data Envelopment Analysis: A Handbook of Empirical Studies and Applications
T2  - International Series in Operations Research and Management Science Series
SN  - 9781489976840
AV  - T57.6-.97 
U1  - 338.45015195 
PY  - 2016///
CY  - New York, NY
PB  - Springer
KW  - Industrial engineering
KW  - Electronic books
N1  - 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; 3.5.2 Total-Factor Energy Productivity Growth -- 3.6 Concluding Remarks -- References -- Chapter 4: Social Cost Efficient Service Quality: Integrating Customer Valuation in Incentive Regulation-Evidence from the Cas... -- 4.1 Introduction -- 4.2 WTP Based Service Quality Incentives and the Optimal Quality Level -- 4.3 The Norwegian Example -- 4.3.1 Overview -- 4.3.2 Quality Regulation in Norway: Development and Status Quo -- 4.3.3 Data and Methodology -- 4.3.4 Estimation and Results -- 4.4 Conclusions -- Appendix -- References -- Chapter 5: DEA Applications to Major League Baseball: Evaluating Manager and Team Efficiencies -- 5.1 Introduction -- 5.2 Application 1: Managerial Efficiency in Major League Baseball -- 5.3 Application 2: Efficient Resource Allocation in Major League Baseball -- References -- Chapter 6: Efficiency and Productivity in the US Property-Liability Insurance Industry: Ownership Structure, Product and Distr... -- 6.1 Introduction -- 6.2 Frontier Efficiency Methodology and Its Application in the P-L Insurance Industry -- 6.2.1 Estimation Methodology of DEA Frontier Efficiency and Malmquist Index -- 6.2.1.1 Production Frontiers and Technical Efficiency -- 6.2.1.2 Cost Frontiers and Cost Efficiency -- 6.2.1.3 Production Frontiers and Revenue Efficiency -- 6.2.1.4 Profit Efficiency -- 6.2.1.5 Total Factor Productivity and Its Decomposition -- 6.2.2 Summary of Literature on Application of DEA Efficiency in Insurance -- 6.2.2.1 Economies of Scale and Scope -- 6.2.2.2 Firm Organizational Form, Corporate Governance, Distribution Systems -- 6.2.2.3 DEA Efficiency and Regulatory Change of Insurance Market -- 6.2.2.4 DEA Efficiency and Mergers and Acquisitions -- 6.2.2.5 DEA Efficiency and Cross-Country Study of Firm Performance -- 6.2.2.6 DEA Efficiency and Risk Management -- 6.2.3 Inputs and Outputs Used in the Current Study; 6.2.3.1 Outputs and Output Prices -- 6.2.3.2 Inputs and Input Prices -- 6.3 Productivity, US P-L insurance industryEfficiency and Productivity in the US P-L Industry -- 6.3.1 Data and Sample Selection -- 6.3.2 Average Efficiency and Variation Across Firms -- 6.3.3 Productivity of the US P-L Industry and Variation Across Firms -- 6.3.4 Economies of Scale of US P-L Insurance Firms -- 6.3.5 Efficiency by Ownership Structure -- 6.3.5.1 Efficiency by Organizational Form -- 6.3.5.2 Efficiency by Ownership Status of Firm -- 6.3.6 Efficiency by Product Line -- 6.3.7 Efficiency by Distribution System -- 6.3.8 Regression analyses, insurance efficiencyRegression Analyses on Determinants of Efficiency -- 6.4 Conclusion and Discussion -- References -- Chapter 7: Mutual Fund Industry Performance: A Network Data Envelopment Analysis Approach -- 7.1 Introduction -- 7.2 Background to US Mutual Fund Industry -- 7.3 Prior Research on Performance Appraisal of Mutual Funds and Mutual Fund Families -- 7.4 Development of the Two-Stage DEA Model -- 7.4.1 DEA Model for Two-Stage Network and Efficiency Decomposition -- 7.4.1.1 Efficiency Decomposition -- 7.4.1.2 Frontier Projection -- 7.5 Data and Sampling -- 7.6 Analysis of the Results -- 7.6.1 Overall Efficiency Estimated in the Two-Stage DEA Model -- 7.6.2 Operational Management Efficiency -- 7.6.3 Portfolio Management Efficiency -- 7.6.4 Variation in Efficiency Across Time and Fund Families -- 7.6.5 Frontier Projection of DMUs -- 7.7 Concluding Remarks -- References -- Chapter 8: DEA Performance Assessment of Mutual Funds -- 8.1 Introduction -- 8.2 DEA Literature on Mutual Funds -- 8.3 The Problem of Negative Returns in DEA Modeling -- 8.4 A DEA Model for the Performance Assessment in Periods of Financial Crisis -- 8.5 More Traditional Indicators of Mutual Fund Performance; 8.6 An Empirical Investigation on Different Holding Periods -- References -- Chapter 9: Formulating Management Strategy for International Tourist Hotel Using DEA -- 9.1 Introduction -- 9.2 Research Problem -- 9.2.1 Issues -- 9.2.2 Related Literature -- 9.3 Measuring Efficiencies of the International Tourist Hotels -- 9.3.1 Object of Study -- 9.3.2 Defining Input-Output Factors -- 9.3.3 Relative Efficiency Evaluation of Models -- 9.3.4 Measurement of Efficiency Change -- 9.4 Managerial Efficiency of International Tourist Hotels -- 9.4.1 Relative Managerial Efficiency -- 9.4.2 Change of Managerial Efficiency -- 9.5 The Relationship Between Managerial Performance and Management Strategy -- 9.5.1 The Variance Analysis of Hotel Characteristics and Managerial Performance -- 9.5.2 Strategic Factor of the Hotel Industry -- 9.5.2.1 International Cooperation Management Style -- 9.5.2.2 Domestic Franchise Management Style -- 9.5.2.3 Independent Management Style -- 9.5.3 The Relationship Between Strategy Group and Managerial Performance of International Hotels -- 9.5.3.1 Hotels with High Competitiveness and a Fast Pace of Progress (Category A in Fig. 9.3) -- 9.5.3.2 Hotels with High Competitiveness but a Slower Pace of Progress(Category B in Fig. 9.3) -- 9.5.3.3 Hotels with Medium Competitiveness but a Fast Pace of Progress (Category C in Fig. 9.3) -- 9.5.3.4 Hotels with Medium Competitiveness but a Slow Pace of Progress (Category D in Fig. 9.3) -- 9.5.3.5 Hotels with Low Competitiveness but a Slow Pace of Progress (Category E in Fig. 9.3) -- 9.6 Conclusion -- References -- Chapter 10: Sustainable Product Design Performance Evaluation with Two-Stage Network Data Envelopment Analysis -- 10.1 Introduction -- 10.2 Literature Review -- 10.3 Research Framework -- 10.3.1 Stage 1: Industrial Design Performance -- 10.3.2 Stage 2: Bio design Performance; 10.3.3 Design Performance EvaluationDesign performance evaluation -- 10.3.4 Strategic Implications -- 10.4 Data Collection and Research Procedure -- 10.4.1 Data -- 10.4.2 Testing Procedure -- 10.5 Research Results -- 10.5.1 Overall Performance Comparison -- 10.5.2 Individual Carline Performance Comparison -- 10.6 Conclusion -- References -- Chapter 11: Measuring Environmental Efficiency: An Application to U.S. Electric Utilities -- 11.1 Introduction -- 11.2 Production Models with Undesirable Outputs for Environmental Efficiency -- 11.2.1 Production Technology Assumptions -- 11.2.2 Directional Distance Function -- 11.2.3 Radial Efficiency Models -- 11.2.4 Problems Illustration by a Numerical Example -- 11.3 A Median adjusted measure (MAM) modelMedian Adjusted Measure (MAM) Model for Environmental Efficiency -- 11.4 An Application to Measuring Environmental Efficiency of U.S. Electric Utilities -- 11.5 Conclusions -- References -- Chapter 12: Applications of Data Envelopment Analysis in Education -- 12.1 Introduction -- 12.2 Applications of DEA in Secondary Education -- 12.2.1 Introduction -- 12.2.2 Applications Using Aggregate Pupil Data -- 12.2.2.1 An Overview of DEA Applied to Aggregate Pupil Data -- 12.2.2.2 Using Aggregate Pupil Data to Identify Differential School Effectiveness -- 12.2.2.3 On-line Platforms for Assessment of Schools -- 12.2.3 DEA Applications Using Pupil-Level Data -- 12.2.3.1 An Overview of DEA Applied to Pupil-Level Data -- 12.2.3.2 Applying DEA to Pupil-Level Data -- Input-Output Variables -- Dealing with Outliers -- Obtaining Efficiency Estimates -- Aggregation of Pupil Level Results -- Extracting Additional Information on Performance from Longitudinal Pupil-Level Data -- 12.2.3.3 Putting to Use the Findings from DEA Assessments of Pupil-Level Data; Gaining Insights into Components of Performance Attributable to Pupils, Schools or Other Hierarchical Levels
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