Handbook On Data Envelopment Analysis In Business, Finance, And Sustainability: Recent Trends And Developments

Name: Handbook On Data Envelopment Analysis In Business, Finance, And Sustainability: Recent Trends And Developments
Brand: World Scientific Publishing Company
Price: 613.99 EUR
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Unknown(Autor*in)

Boubaker Sabri Boubaker Ngo Thanh Ngo(Herausgeber*in)

World Scientific Publishing Company

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Erschienen am 26. Juli 2024

620 Seiten

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Inhalt

Intro
Contents
Foreword
Preface
About the Editors
About the Contributors
List of Abbreviations
Part I: Data Envelopment Analysis (DEA) in Business
1. Toward Healthcare Improvements Using Data Envelopment Analysis: The Case of Emergency Medical Services
1. Introduction
2. Literature Review
3. Model
3.1. Maximal expected survival location model for heterogenous patients
3.2. Data envelopment analysis
3.3. The resulting model
4. Case Study
5. Conclusion
References
2. Technological Gaps in the Performance of Victorian Local Government: An Application of the Meta-Frontier Network Data Envelopment Analysis Approach
1. Introduction
2. Analysis of Local Government Performance
3. The Victorian State Local Government System
4. Method of Analysis
4.1. Two-division network data envelopment analysis (NDEA)
4.1.1. Input output constraints
4.1.2. The linking constraints
4.1.3. The objective function
4.2. NDEA meta-frontier production technology
4.3. Sensitivity analysis
5. Empirical Results
6. Discussion of Empirical Findings
7. Concluding Remarks
References
3. Data Envelopment Analysis for Supply Chain Management: An Overview on Applications, Major Findings, and Future Directions
1. Introduction
2. Advantages of Using DEA for Supply Chain Management
3. Challenges of Using DEA for Supply Chain Management
4. Trends and Developments
5. Supply Chain Management
6. Supplier Evaluation and Selection
7. Logistics
8. Supply Chain Risk Mitigation and Monitoring
9. Conclusion and Future Research
References
4. Efficiency of Water Provision Service: A Visual Study of Data Envelopment Analysis
1. Introduction
2. China Water Supply Background
3. Literature Review
4. Methodology
5. Data
6. Results and Discussion
6.1. DEA visualization: Factor analysis
6.2. DEA visualization: Property fitting
6.3. DEA visualization: Cluster analysis
7. Conclusions
Appendix A
Appendix B
Appendix C
Appendix D
Appendix E
Appendix F
References
5. Assessing the Efficiency of Contagion Control and Medical Treatment for COVID-19 in OECD Countries Using Data Envelopment Analysis
1. Introduction
1.1. Definition of the topic
1.2. Relevance of the topic
1.3. Objectives
1.4. Research limits
1.5. Organization of the study
2. Literature Review
2.1. DEA methodology
2.2. DEA methodology applied to the health sector
3. Methodology
3.1. Characterization of the sample
3.2. Models and variables included in the study
4. Results and Discussion
4.1. Model A: Contagion control
4.2. Model B: Medical treatment
4.3. Discussion of the main results
5. Conclusion
5.1. Summary
5.2. Prospects for future research
References
6. Two-Stage Data Envelopment Analysis in Healthcare: Concerns, Controversies, and Future Directions
1. Introduction
2. Basics of Efficiency Measurement with DEA
2.1. Overview of DEA studies and its application in healthcare
2.2. Two-stage data envelopment analysis
3. Materials and Methods
3.1. Search strategy
3.2. Data analysis
4. Results
5. Discussion
5.1. Concerns and controversies
6. Conclusion
References
7. Study of the Efficiency and Productivity of the Productive Paths of the Bioeconomy in the CNU Universities
1. Introduction
2. Literature Review
2.1. Review of DEA studies
3. Methodology
3.1. Data
4. Results
5. Discussion
6. Conclusion
Acknowledgments
Appendix
References
Part II: Data Envelopment Analysis (DEA) in Banking and Finance
8. Assessing the Efficiency Impact of COVID-19 on Australian Private Health Insurers Using DEA
1. Introduction and Background
2. Method and Data
3. Results & Discussion
4. Conclusion
References
9. Devising the Best Prospective Merger Plan for a Banking Sector Through a Hybrid DEA-Based Methodology: An Inverse DEA Perspective
1. Introduction
2. Methodological Background
2.1. Bank efficiency evaluation
2.2. Inverse DEA model for merger
3. Application and Practical Scope
3.1. Banks performance evaluation
3.2. Mergers of banks
4. Selecting the Best Partners for a Merger
4.1. Ranking the post-merger banks
4.2. Building a merger plan
5. Concluding Remarks
Appendix
References
10. Data Envelopment Analysis in Microfinance Research: A Systematic Review
1. Introduction
2. DEA and Its Features
3. Methodology
3.1. Research objectives
3.2. Inclusion/Exclusion criteria
3.3. Data search
3.4. Selection of papers
4. Results and Findings
4.1. Input and output selection
4.2. Types of DEA used in the analysis
4.3. Return to scale and orientation of DEA
4.4. Trend of DEA in the microfinance literature
5. Network Analysis
5.1. Co-authorship network analysis
5.2. Most influential paper: Citation network analysis
5.3. Co-occurrence network analysis
6. Conclusion and Guidance for Future Research
Acknowledgments
Appendix
References
11. Technical Efficiency Determinants of the Indonesian Employer Pension Funds: A Double-Bootstrap DEA Analysis
1. Introduction
2. Theoretical Framework and Hypothesis Development
2.1. Pension funds' technical efficiency
2.2. The influence of specific characteristics on efficiency
2.3. The impact of macroeconomic factors on pension funds' efficiency
3. Methodology
3.1. Data, sample, and variables
3.2. The approach model
4. Results and Discussion
4.1. Indonesian EPFs' technical efficiency, 2011-2017
4.2. The determinants of EPFs' technical efficiency
5. Conclusions
References
12. Efficiency Analysis of the Banking Sector in Pakistan: An Application of the Malmquist Index Approach
1. Introduction
2. Literature Review
3. Methodology
3.1. Efficiency analysis
3.1.1. Malmquist productivity indexes
3.2. Efficiency performance
3.3. Model specification
4. Results & Discussion
4.1. Descriptive statistics
4.2. Correlation matrix
4.3. Efficiency scores analysis
4.4. Regression results
5. Conclusion
References
13. Antecedents of Efficiency: Empirical Evaluation of the Life Insurance Sector in India
1. Introduction
2. Review of Literature
3. Database and Research Methodology
3.1. Sample, time period and data source of the study
3.2. Data envelopment analysis (DEA)
3.3. Input-output selection
3.4. Panel data tobit regression model
4. The CARAMEL Framework and Hypotheses Development
5. Results, Analysis, and Discussion
5.1. Efficiency of Indian life insurers
5.2. Panel tobit regression
6. Conclusion, Implications and Future Scope of the Study
References
14. General Insurer Efficiency and Managerial Ability: A Non-Parametric Approach
1. Introduction
2. Overview of Indian General Insurance Industry
3. Related Research Literature
3.1. Performance of the insurance sector
3.2. Estimation of managerial ability
4. Methodology of Estimation
4.1. Efficiency evaluation using DEA
4.2. Regression methodology for second and third stage
5. Description of Variables and Data
6. Results and Discussion
6.1. Evaluation of technical efficiency of the observed general insurers
6.2. Scale efficiency and returns to scale
6.3. Influence of the environmental variables on insurer efficiency scores
6.4. Estimation and validation of managerial ability
6.5. Ranking of insurers on the basis of managerial ability
7. Concluding Observations
Appendix
References
Part III: Data Envelopment Analysis (DEA) in Sustainability
15. Development of ESG Performance and Sustainability Indicators: A Data Envelopment Analysis Approach with Overlapping Criteria
1. Introduction
2. ESG Performance Indicator
2.1. ESG and financial distress
2.2. DEA applications in the firm's efficiency estimations
2.3. DEA applications in ESG efficiency estimations
3. Sustainability Development Indicators
4. The Issues of Developing ESG or SD Indicators
4.1. Overlapping criteria in three pillars/dimensions
4.2. Negative correlation of SD/ESG criteria
4.3. Strong and weak sustainability considerations
5. Methodology
5.1. Background of CI
5.2. DEA for constructing CIs
5.3. Two-level approach
5.3.1. For overlapping criteria
5.3.2. For the negative correlation of pillars-CIs
5.3.3. For the strong and weak sustainability
5.3.4. Sustainability constraints
6. An Application of SDG Sustainability Indicators
6.1. The 17 overlapping SDGs and three pillars
6.2. Data of SDGs
6.3. Results and discussion
6.3.1. Summary of the first-level results
6.3.2. Sustainability indicator of SDGs
7. Conclusions
Appendix
References
16. Applications of Data Envelopment Analysis to Evaluate Resource Mobilization and Regional Integration Outcomes: Recent Trends and Future Challenges
1. Introduction
2. Variable Selection and Methods
3. Applications of DEA to Resource Mobilization and Regional Integration
3.1. Private capital mobilization
3.2. Government revenue mobilization
3.3. Regional economic integration
4. Conclusion and Avenues for Future Research
References
17. Efficiency Analysis of Brazilian Regions for the Sustainable Expansion of Food Production Based on Satellite Data: A Data Envelopment Analysis Approach
1. Introduction
2. Literature Review
3. Methodology
4. Results and Discussion
5. Conclusion
References
18. Organizational Performance Assessment Using Data Envelopment Analysis: A Case of a State University in Turkey
1. Introduction
2. Literature Review
2.1. Performance measurement and data envelopment analysis
2.2. Performance measurement in higher education
3. Method
3.1. Decision-making units
3.2. Input and output selection
4. Results and Findings
5. Conclusion
References
19. Productivity Growth and Technical Efficiency Changes in Rice Farms: An Input-Oriented Study Using Biosolid
1. Introduction
2. Literature Review
3. Methodology
3.1. Methodology used for the quantification of the indicator parameters of the nutritional status of soil
3.1.1. Evaluation and interpretation of the results
3.2. Methodology for measuring the technical efficiency of bio-businesses
3.2.1. Enveloping data analysis methodology in bio-businesses
3.3. Panel data, DEA, and the Malmquist index
3.4. Data
4. Results and Discussion
4.1. TFP estimation and efficiencies
5. Conclusion
References
Index

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