Fr. 135.00

New Efficiency Theory - With Applications of Data Envelopment Analysis

English · Paperback / Softback

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Description

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New efficiency theory refers to the various parametric and semi-parametric methods of estimating production and cost frontiers, which include data envelopment analysis (DEA) with its diverse applications in management science and operations research. This monograph develops and generalizes the new efficiency theory by highlighting the interface between economic theory and operations research.
Some of the outstanding features of this monograph are: (1) integrating the theory of firm efficiency and industry equilibrium, (2) emphasizing growth efficiency in a dynamic setting, (3) incorporating uncertainty of market demand and prices, and (4) the implications of group efficiency by sharing investments. Applications discuss in some detail the growth and decline of US computer industry, and the relative performance of mutual fund portfolios.

List of contents

1. New Approaches to Economic Efficiency.- 1.1 New Theory.- 1.2 New Applications.- 2. Sources of Economic Efficiency.- 2.1 Learning by Doing.- 2.2 Technology and Productivity Growth.- 3. Cost Oriented Efficiency.- 3.1 Data Envelopment Analysis.- 3.2 Industry Equilibrium.- 4. Competition and Efficiency.- 4.1 Growth Frontier.- 4.2 Efficiency in Industry Equilibrium.- 5. Growth and Efficiency in Computer Industry.- 5.1 Sales Growth and Decline.- 5.2 Technical Change and Scale Efficiency.- 6. Efficiency Under Uncertainty.- 6.1 Cost and Demand Uncertainty.- 6.2 Efficiency in Capital Markets.- 7. Input Sharing and Efficiency.- 7.1 Efficiency in the Core 146 7.2 Shared Investment and Group Efficiency.- 8. Modeling and Data Problems.- 8.1 Modeling Issues.- 8.2 DEA Models Under Nonstationarity.

Summary

This monograph develops and generalizes the new efficiency theory by highlighting the interface between economic theory and operations research. Some of the outstanding features of this monograph are: (1) integrating the theory of firm efficiency and industry equilibrium, (2) emphasizing growth efficiency in a dynamic setting, (3) incorporating uncertainty of market demand and prices, and (4) the implications of group efficiency by sharing investments. Applications discuss in some detail the growth and decline of US computer industry, and the relative performance of mutual fund portfolios.

Additional text

From the reviews:

"The book summarizes the author’s research on efficiency theory. It emphasizes new approaches to efficiency theory emerging since the proposition of data development analysis. The text focuses on extensions of nonparametric efficiency measurement models in the following areas: cost oriented DEA models; consideration of interdependence of firms; informational basis of input-output and cost data; role of uncertainty and risk. … The book is concisely written and of interest for readers with a background in economic theory and DEA." (Matthias Ehrgott, Zentralblatt MATH, Vol. 1048, 2004)

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From the reviews:

"The book summarizes the author's research on efficiency theory. It emphasizes new approaches to efficiency theory emerging since the proposition of data development analysis. The text focuses on extensions of nonparametric efficiency measurement models in the following areas: cost oriented DEA models; consideration of interdependence of firms; informational basis of input-output and cost data; role of uncertainty and risk. ... The book is concisely written and of interest for readers with a background in economic theory and DEA." (Matthias Ehrgott, Zentralblatt MATH, Vol. 1048, 2004)

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