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2015 | OriginalPaper | Chapter

5. Efficiency Measures for Industrial Organization

Author : Thijs ten Raa

Published in: Benchmarking for Performance Evaluation

Publisher: Springer India

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Abstract

The aim of the paper was to measure the efficiency of an industry and to decompose it in firm efficiencies—which indicate how close firms approximate best practices—and an organization efficiency—which indicates the degree of optimality of the number of firms and their distribution. The latter component provides an efficiency measure for the industrial organization. Economies or diseconomies of scale and of scope play a big role in the determination of the optimal industrial organization and the consequent measurement of the efficiency of an observed industry. Different approaches to the modeling of scale economies will be reviewed. This paper shows in detail how the efficiency of an industrial organization can be measured as a gap between mean firm efficiency and overall industry efficiency. The analysis is extended to dynamic models to measure the role of entry and exit in the efficiency of the industrial organization.

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Footnotes
1
In Fig. 5.1 firm 6 has only one benchmark, namely firm 5.
 
2
Revenue is 1 because of the single output variant of price normalization condition (5.3), Sect. 5.2.
 
3
The latter is indeed less than x 2 by assumption that firm 1 is more productive, y 1/x 1 > y 2/x 2.
 
4
(θx, θy) can be denoted briefly by θ(x, y).
 
5
It is possible that τ j  = 0 in Eq. (5.11). This corresponds to a benchmark for which neither the nonnegativity constraint (as signaled by the equality) nor the capacity constraint (as signaled by the zero value of its shadow price, τ j ) is binding, i.e., the unit is hovering at partial capacity: 0 < θ j  < 1.
 
6
The problem is that DEA is sensitive with respect to errors of measurement, particularly of best practice observations. Overstatement of output or understatement of input may falsely identify decision-making units as benchmarks, and as a consequence, throw back the other decision-making units. The latter are thus suggested being relatively inefficient, but it is a fluke in the data.
 
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Metadata
Title
Efficiency Measures for Industrial Organization
Author
Thijs ten Raa
Copyright Year
2015
Publisher
Springer India
DOI
https://doi.org/10.1007/978-81-322-2253-8_5

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