Data Envelopment Analysis

A Comprehensive Text with Models, Applications, References and DEA-Solver Software
Softcover Nachdruck of the original 2. Auflage 2007
ISBN: 978-1-4899-7879-0
Verlag: Springer US

Buch, Englisch, 492 Seiten, Paperback, Format (B × H): 155 mm x 235 mm, Gewicht: 797 g

Data Envelopment Analysis: A Comprehensive Text with Models, Applications, References, And DEA-Solver Software, 2nd Edition is designed to provide a systematic introduction to DEA and its uses as a multifaceted tool for evaluating problems in a variety of contexts. Each chapter accompanies its developments with simple numerical examples and discussions of actual applications. Emphasis is placed on the use as well as an understanding of DEA and the topics in this book have been selected and treated accordingly. The first nine chapters cover the basic principles of DEA and the final seven chapters are more advanced treatment of DEA. These final chapters were completely revised into new chapters, reflecting recent developments that greatly extend the power and scope of DEA and lead to new directions for research and DEA uses. Together with the first ten chapters of the basic principles, they will provide students and researchers with a solid understanding of the methodology, its uses and its potential.

Zielgruppe

Research

Autoren/Hrsg.

Cooper, William W.

Tone, Kaoru

Seiford, Lawrence M.

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Ökonometrie
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensforschung
• Technische Wissenschaften Technik Allgemein Betriebswirtschaft für Ingenieure
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Mikroökonomie
• Wirtschaftswissenschaften Betriebswirtschaft Betriebswirtschaft: Theorie & Allgemeines

Inhaltsverzeichnis

General Discussion.- The Basic CCR Model.- The CCR Model and Production Correspondence.- Alternative Dea Models.- Returns to Scale.- Models with Restricted Multipliers.- Non-Discretionary and Categorical Variables.- Allocation Models.- Data Variations.- Super-Efficiency Models.- Efficiency Change over Time.- Scale Elasticity and Congestion.- Undesirable Outputs Models.- Economies of Scope and Capacity Utilization.- A Dea Game.- Multi-Stage Use of Parametric and Non-Parametric Models.