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Theory and Application of Directional Distance Functions
by
FÄRE, ROLF
, GROSSKOPF, SHAWNA
in
Alkalies
/ Allocative efficiency
/ Capacity utilization
/ Cleaning compounds
/ Cost efficiency
/ Cost functions
/ Decomposition
/ Distance functions
/ Economic theory
/ Efficiency
/ Efficiency metrics
/ Inequality
/ Production functions
/ Productivity
/ Revenue
/ Studies
/ Technology
2000
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Theory and Application of Directional Distance Functions
by
FÄRE, ROLF
, GROSSKOPF, SHAWNA
in
Alkalies
/ Allocative efficiency
/ Capacity utilization
/ Cleaning compounds
/ Cost efficiency
/ Cost functions
/ Decomposition
/ Distance functions
/ Economic theory
/ Efficiency
/ Efficiency metrics
/ Inequality
/ Production functions
/ Productivity
/ Revenue
/ Studies
/ Technology
2000
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Theory and Application of Directional Distance Functions
by
FÄRE, ROLF
, GROSSKOPF, SHAWNA
in
Alkalies
/ Allocative efficiency
/ Capacity utilization
/ Cleaning compounds
/ Cost efficiency
/ Cost functions
/ Decomposition
/ Distance functions
/ Economic theory
/ Efficiency
/ Efficiency metrics
/ Inequality
/ Production functions
/ Productivity
/ Revenue
/ Studies
/ Technology
2000
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Journal Article
Theory and Application of Directional Distance Functions
2000
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Overview
In 1957 Farrell demonstrated how cost inefficiency could be decomposed into two mutually exclusive and exhaustive components: technical and allocative inefficiency. This result is a consequence of the fact that—as shown by Shephard—the cost function and the input distance function (the reciprocal of Farrell's technical efficiency measure) are 'dual' to each other. Similarly, the revenue function and the output distance function are dual providing the basis for the decomposition of revenue inefficiency into technical and allocative components (see for example, Färe, Grosskopf and Lovell (1994)). Here we extend those results to include the directional distance function and its dual, the profit function. This provides the basis for defining and decomposing profit efficiency. As we show, the output and input distance functions (reciprocals of Farrell efficiency measures) are special cases of the directional distance function. We also show how to use the directional distance function as a tool for measuring capacity utilization using DEA type techniques.
Publisher
Kluwer Academic Publishers,Springer Nature B.V
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