Efficiency Models in Data Envelopment Analysis: Techniques of Evaluation of Productivity of Firms in a Growing Economy

ISBN-13: 9780230018860 / Angielski / Twarda / 2006 / 245 str.

Jati K. Sengupta; Biresh Sahoo

Opis

This volume discusses the latest techniques and their economic applications for modern industries like computer, pharmaceutical, banking and other manufacturing. Both econometric and mathematical programming techniques are analyzed so as to develop a synthetic approach.

Spis treści

List of Tables List of Figures Preface Acknowledgments Productivity and Efficiency Analysis Cost Efficiency in Models of Data Envelopment Analysis R&D Spending and Efficiency in Computer and Pharmaceutical Industries Comparison of Various Efficiency Measures: An Application to Banks in India Scale, Scope and Capacity Utilization in Indian Banking Industry Scale Elasticity and Congestion in Banking Industry of India Examining Performance Variations of (Life) Insurance and Iron Industries of India References Index

O autorze

JATI SENGUPTA is Professor of Economics at the University of California Santa Barbara, USA. He is an international expert in efficiency theory and decision analysis under uncertainty. He has published three research monographs on applied efficiency theory including data envelopment analysis. He has international consulting experience at the World Bank, Ford Foundation and other agencies.

BIRESH SALOO is Associate Professor of Economics at the Amrita School of Business, India. He has been a recipient of the Postdoctoral Fellowship in 2001-02 under the Japan Society for the Promotion of Science Postdoctoral Fellowship programme. His work has been published in scholarly journals, such as Annals of Operations Research, European Journal of Operational Research, International Journal of Production Economics, International Journal of Systems Science, International Journal of Applied Economics and Econometrics, Socio-Economic Planning Sciences and OPSEARCH. His research interest lies in production theory and its application using data envelopment analysis.