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Data Envelopment Analysis | Returns-to-Scale Measurement
Language: English
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 3639167147 ISBN 13: 9783639167146
Taschenbuch. Condition: Neu. Data Envelopment Analysis | Returns-to-Scale Measurement | Bernhard Klemen | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639167146 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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US$ 155.67
US$ 13.41 shipping
Ships from United Kingdom to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: Brand New. 184 pages. 8.66x5.91x0.42 inches. In Stock.
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Data Envelopment Analysis
Language: English
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 3639167147 ISBN 13: 9783639167146
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Klemen BernhardDr Bernhard Klemen graduated with distinction from Vienna nUniversity of Economics and Business Administration in Economics nand Business Administration. His research focuses on economies nof scale and scope measuremen.
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Data Envelopment Analysis : Returns-to-Scale Measurement
Language: English
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 3639167147 ISBN 13: 9783639167146
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The paper provides an overview of the different approaches to measure returns-to-scale (RTS) in Data Envelopment Analysis (DEA). DEA is a promising approach allowing for analysis of efficiency and RTS in certain fields where other concepts like regression analysis are not applicable. Therefore, DEA literature and especially literature on RTS measurement in DEA is rapidly growing. Returns-to-scale and scale efficiency can lead to significant and long-lasting implications for management and politics. Furthermore, RTS classification can be used to decide on mergers and acquisitions. Following the description of the most common DEA models and their technology different approaches to measure RTS are described and advantages and disadvantages are elaborated. The approaches are subdivided in qualitative and quantitative approaches and RTS measurement in cost-based and non-radial models. Additionally, sensitivity analysis for RTS measurement is being dealt with. Finally, an empirical application is provided to illustrate RTS measurement approaches discussed in the paper.
