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What is Directional Distance

Handbook of Research on Strategic Performance Management and Measurement Using Data Envelopment Analysis
A distance function as its name implies, measures the distance from some observed input-output combination to the frontier of technology. The qualifier “directional” stresses the generality of the concept and points out that it includes the better known Shephard input and output distance functions as special cases. In other words, the directional distance function allows for scaling toward all of the points on the frontier that dominate the observation under evaluation.
Published in Chapter:
Efficiency of Turkish Provincial General Hospitals with Mortality as Undesirable Output
Nurhan Davutyan (KHas University, Turkey) and Murat Bilsel (Marmara University, Turkey)
DOI: 10.4018/978-1-4666-4474-8.ch012
Abstract
The authors present a directional distance model where quality of care is brought in by treating mortality in each hospital as a strongly disposable “bad output.” After deriving pure technical and scale inefficiencies under strong disposability, the authors derive “congestion” inefficiencies via allowing weak disposability. A second stage, “seemingly unrelated” regression of these inefficiencies against hospital level variables like spare capacity, inpatient-to-outpatient ratio, and bed turnover rate allows pinpointing the critical areas for hospital performance improvement. Evidence shows that the smallest hospitals are operating on an inefficient scale. Moreover, allocation of specialists should be done very carefully, as shortage of specialists seems to cause congestion inefficiency, while having too many specialists causes technical inefficiency.
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