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Productivity and Efficiency Analysis

An Economic Approach to Measuring and Explaining Managerial Performance

Autoren: O'Donnell, Christopher J.

Vorschau
  • Provides a comprehensive guide to applied productivity and efficiency analysis 
  • Explains how knowledge of production technologies, market structure and company behaviour can be used to inform construction of meaningful price and productivity indexes
  • Shows how econometric methods can be used to decompose measures of productivity change into measures of technical change, environmental change, and different types of efficiency change
Weitere Vorteile

Dieses Buch kaufen

eBook 91,62 €
Preis für Deutschland (Brutto)
  • ISBN 978-981-13-2984-5
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: EPUB, PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 117,69 €
Preis für Deutschland (Brutto)
  • ISBN 978-981-13-2982-1
  • mit Online Daten
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
Über dieses Buch

This book provides a coherent description of the main concepts and statistical methods used to analyse economic performance. The focus is on measures of performance that are of practical relevance to policy makers. Most, if not all, of these measures can be viewed as measures of productivity and/or efficiency. Linking fields as diverse as index number theory, data envelopment analysis and stochastic frontier analysis, the book explains how to compute measures of input and output quantity change that are consistent with measurement theory. It then discusses ways in which meaningful measures of productivity change can be decomposed into measures of technical progress, environmental change, and different types of efficiency change. The book is aimed at graduate students, researchers, statisticians, accountants and economists working in universities, regulatory authorities, government departments and private firms. The book contains many numerical examples. Computer codes and datasets are available on a companion website.

Über den Autor

Christopher J. O’Donnell is a Professor in Econometrics at the University of Queensland.  He is a co-editor of the Journal of Productivity Analysis, an associate editor of Empirical Economics, and a Distinguished Fellow of the Australian Agricultural and Resource Economics Society. His research interests focus on mathematical programming and statistical methods for measuring and explaining productivity and efficiency change. His work has been published in leading economics and econometrics journals, including the American Journal of Agricultural Economics, the Journal of Econometrics, the Journal of Applied Econometrics, and Econometric Reviews. He has provided in-house training and/or been a consultant for organisations including the World Bank, the International Rice Research Institute, the Australian Energy Regulator, the NSW Independent Pricing and Regulatory Tribunal, and the Australian Independent Hospital Pricing Authority.

Inhaltsverzeichnis (9 Kapitel)

Inhaltsverzeichnis (9 Kapitel)

Dieses Buch kaufen

eBook 91,62 €
Preis für Deutschland (Brutto)
  • ISBN 978-981-13-2984-5
  • Versehen mit digitalem Wasserzeichen, DRM-frei
  • Erhältliche Formate: EPUB, PDF
  • eBooks sind auf allen Endgeräten nutzbar
  • Sofortiger eBook Download nach Kauf
Hardcover 117,69 €
Preis für Deutschland (Brutto)
  • ISBN 978-981-13-2982-1
  • mit Online Daten
  • Kostenfreier Versand für Individualkunden weltweit
  • Gewöhnlich versandfertig in 3-5 Werktagen.
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Bibliografische Information

Bibliographic Information
Buchtitel
Productivity and Efficiency Analysis
Buchuntertitel
An Economic Approach to Measuring and Explaining Managerial Performance
Autoren
Copyright
2018
Verlag
Springer Singapore
Copyright Inhaber
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-13-2984-5
DOI
10.1007/978-981-13-2984-5
Hardcover ISBN
978-981-13-2982-1
Auflage
1
Seitenzahl
XXI, 418
Anzahl der Bilder
72 schwarz-weiß Abbildungen, 5 Abbildungen in Farbe
Themen