In this chapter, we present the classic approach to calculate and decompose cost and revenue efficiency based on Shephard’s radial input and output distance functions. These decompositions follow closely the presentation done in Chap. 2 where both economic efficiency measures can be separated into technical and allocative components, i.e., expressions (2.33 ) and (2.44 ). However, rather than resorting to Farrell’s input and output technical efficiency measures, the decomposition is formalized in terms of the distance function and duality theory. At the time of publishing his seminal paper in 1957, Farrell did not seem to be aware of the work by Shephard, printed initially in his 1953 book titled Theory of Cost and Production Functions. The...
We extend a recently developed DEA methodology for cost efficiency analysis towards profit efficienc...
The reverse directional distance function, shortly RDDF, is a relatively recent concept introduced b...
AbstractOverall inefficiency measurement and decomposition are important for firms facing a world of...
Cost or revenue efficiency measurement based on the approach initiated by Farrell has received great...
A generalization of Shephard's distance functions is proposed, extending the usefulness of distance ...
Cost or revenue efficiency measurement based on the approach initiated by Farrell has received grea...
This chapter is concerned with the measurement of profitability efficiency, defined as the ratio of ...
In the early 1980’s Koop and Diewert proposed the decomposition of cost efficiency into allocative a...
From the beginning of DEA as a well-defined multi-output-multi-input tool for measuring efficiency, ...
After the introduction in the Data Envelopment Analysis literature of the radial measures, other app...
Efficiency measurements have been the concern of researchers with an aim to investigate the efficien...
The use of duality concepts has now become widespread in production and consumption theory. In both ...
Various distance functions, defined as different optimization problems with respect to a technology ...
The birth of the directional distance function as an inefficiency measure was linked to the consumer...
Data Envelopment Analysis can determine both a technical efficiency score and benchmarking informati...
We extend a recently developed DEA methodology for cost efficiency analysis towards profit efficienc...
The reverse directional distance function, shortly RDDF, is a relatively recent concept introduced b...
AbstractOverall inefficiency measurement and decomposition are important for firms facing a world of...
Cost or revenue efficiency measurement based on the approach initiated by Farrell has received great...
A generalization of Shephard's distance functions is proposed, extending the usefulness of distance ...
Cost or revenue efficiency measurement based on the approach initiated by Farrell has received grea...
This chapter is concerned with the measurement of profitability efficiency, defined as the ratio of ...
In the early 1980’s Koop and Diewert proposed the decomposition of cost efficiency into allocative a...
From the beginning of DEA as a well-defined multi-output-multi-input tool for measuring efficiency, ...
After the introduction in the Data Envelopment Analysis literature of the radial measures, other app...
Efficiency measurements have been the concern of researchers with an aim to investigate the efficien...
The use of duality concepts has now become widespread in production and consumption theory. In both ...
Various distance functions, defined as different optimization problems with respect to a technology ...
The birth of the directional distance function as an inefficiency measure was linked to the consumer...
Data Envelopment Analysis can determine both a technical efficiency score and benchmarking informati...
We extend a recently developed DEA methodology for cost efficiency analysis towards profit efficienc...
The reverse directional distance function, shortly RDDF, is a relatively recent concept introduced b...
AbstractOverall inefficiency measurement and decomposition are important for firms facing a world of...