001469957 000__ 06770cam\\2200649\i\4500 001469957 001__ 1469957 001469957 003__ OCoLC 001469957 005__ 20230803003355.0 001469957 006__ m\\\\\o\\d\\\\\\\\ 001469957 007__ cr\un\nnnunnun 001469957 008__ 230624s2023\\\\sz\\\\\\ob\\\\000\0\eng\d 001469957 020__ $$a9783031295836$$qelectronic book 001469957 020__ $$a3031295838$$qelectronic book 001469957 0247_ $$a10.1007/978-3-031-29583-6$$2doi 001469957 035__ $$aSP(OCoLC)1385455659 001469957 040__ $$aEBLCP$$beng$$erda$$cEBLCP$$dGW5XE$$dEBLCP$$dOCLCF$$dYDX 001469957 049__ $$aISEA 001469957 050_4 $$aHB135$$b.A28 2023 001469957 08204 $$a330.0151$$223/eng/20230627 001469957 24500 $$aAdvanced mathematical methods for economic efficiency analysis :$$btheory and empirical applications /$$cPedro Macedo, Victor Moutinho, Mara Madaleno, editors. 001469957 264_1 $$aCham, Switzerland :$$bSpringer,$$c[2023] 001469957 300__ $$a1 online resource (267 p.). 001469957 336__ $$atext$$btxt$$2rdacontent 001469957 337__ $$acomputer$$bc$$2rdamedia 001469957 338__ $$aonline resource$$bcr$$2rdacarrier 001469957 4901_ $$aLecture Notes in Economics and Mathematical Systems ;$$vVolume 692 001469957 500__ $$a3 Computational Issues 001469957 504__ $$aIncludes bibliographical references. 001469957 5058_ $$aMultidirectional Dynamic Inefficiency Analysis: An Extension to Include Corporate Social Responsibility -- 1 Introduction -- 2 Dynamic Multidirectional Inefficiency Analysis with CSR Incorporated -- 3 Dataset -- 4 Results -- 5 Conclusions -- References -- Stochastic DEA -- 1 Introduction -- 2 Stochastic DEA -- 3 Distributional Assumptions on E -- 4 Measuring Technical Efficiency -- 5 Conclusions -- References -- Internal Benchmarking for Efficiency Evaluations Using Data Envelopment Analysis: A Review of Applications and Directions for Future Research -- 1 Introduction 001469957 5050_ $$aIntro -- Preface -- Contents -- Contributors -- Introduction -- 1 General Insights and Concepts -- 2 The Book Chapters and Contents -- 2.1 Part 1 -- 2.2 Part 2 -- 2.3 Part 3 -- 3 Concluding Remarks -- References -- Part 1 -- Production Economics and Economic Efficiency -- References -- Data Envelopment Analysis: A Review and Synthesis -- 1 Introduction -- 2 The Origin of Frontier Methods -- 3 The Original DEA Model -- 4 The Evolution of the DEA Methodology -- 5 DEA Applications Roadmap -- 6 Opportunities for Future Developments in DEA -- References 001469957 5058_ $$aStochastic Frontier Analysis: A Review and Synthesis -- 1 Introduction -- 2 Stochastic Frontier Analysis (SFA) -- 2.1 The SFA Method -- 2.2 SFA Approach in EE -- 3 Applications of SFA in EE Assessment -- 4 Policy Recommendations and Possible Future Research Applications of SFA -- 5 Concluding Remarks -- References -- Part 2 -- Combining Directional Distances and ELECTRE Multicriteria Decision Analysis for Preferable Assessments of Efficiency -- 1 Introduction -- 2 Using ELECTRE Outranking to Set a "Preferable Direction" -- 3 Numerical Example -- 4 Conclusions -- References 001469957 5058_ $$aBenefit-of-the-Doubt Composite Indicators and Use of Weight Restrictions -- 1 Introduction -- 2 BoD Composite Indicators Based on DEA Models -- 3 BoD Composite Indicators Based on Directional Distance Functions -- 4 Incorporating Value Judgments in BoD Composite indicators -- 4.1 Restrictions to Virtual Weights in CIs -- 4.2 Direct Weight Restrictions in CIs -- 5 Graphical Interpretation of a Directional BoD Model -- 5.1 Directional BoD Model with Virtual Weight Restrictions -- 5.2 Directional BoD Model with ARI Restrictions -- 6 Conclusions -- References 001469957 5058_ $$a2 Methodological Procedure -- 3 Results -- 4 Internal Longitudinal Benchmarking: An Empirical Application -- 5 Discussion -- 6 Conclusions -- References -- Part 3 -- Recent Advances in the Construction of Nonparametric Stochastic Frontier Models -- 1 Introduction -- 2 Identification -- 3 Estimation -- 3.1 Full Separability -- 3.2 Weak Separability -- 3.3 No Separability -- 4 Concluding Remarks -- References -- A Hierarchical Panel Data Model for the Estimation of Stochastic Metafrontiers: Computational Issues and an Empirical Application -- 1 Introduction -- 2 The Model and Its Estimation 001469957 506__ $$aAccess limited to authorized users. 001469957 520__ $$aEconomic efficiency analysis has received considerable worldwide attention in the last few decades, with Stochastic Frontier Analysis (SFA) and Data Envelopment Analysis (DEA) establishing themselves as the two dominant approaches in the literature. This book, by combining cutting-edge theoretical research on DEA and SFA with attractive real-world applications, offers a valuable asset for professors, students, researchers, and professionals working in all branches of economic efficiency analysis, as well as those concerned with the corresponding economic policies. The book is divided into three parts, the first of which is devoted to basic concepts, making the content self-contained. The second is devoted to DEA, and the third to SFA. The topics covered in Part 2 range from stochastic DEA to multidirectional dynamic inefficiency analysis, including directional distance functions, the elimination and choice translating algorithm, benefit-of-the-doubt composite indicators, and internal benchmarking for efficiency evaluations. Part 3 also includes exciting and cutting-edge theoretical research on e.g. robustness, nonparametric stochastic frontier models, hierarchical panel data models, and estimation methods like corrected ordinary least squares and maximum entropy. 001469957 588__ $$aDescription based on online resource; title from digital title page (viewed on July 20, 2023). 001469957 650_0 $$aEconomics$$xMathematical models. 001469957 655_0 $$aElectronic books. 001469957 7001_ $$aMacedo, Pedro,$$eeditor. 001469957 7001_ $$aMoutinho, Victor,$$eeditor. 001469957 7001_ $$aMadaleno, Mara,$$d1981-$$eeditor. 001469957 77608 $$iPrint version:$$aMacedo, Pedro$$tAdvanced Mathematical Methods for Economic Efficiency Analysis$$dCham : Springer International Publishing AG,c2023$$z9783031295829 001469957 830_0 $$aLecture notes in economics and mathematical systems ;$$v692. 001469957 852__ $$bebk 001469957 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-29583-6$$zOnline Access$$91397441.1 001469957 909CO $$ooai:library.usi.edu:1469957$$pGLOBAL_SET 001469957 980__ $$aBIB 001469957 980__ $$aEBOOK 001469957 982__ $$aEbook 001469957 983__ $$aOnline 001469957 994__ $$a92$$bISE