Aggregation of Directional Distance Functions and Industrial Efficiency
✍ Scribed by Walter Briec; Benoit Dervaux; Hervé Leleu
- Publisher
- Springer Vienna
- Year
- 2003
- Tongue
- English
- Weight
- 297 KB
- Volume
- 79
- Category
- Article
- ISSN
- 1617-7134
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## Abstract In this paper a collective choice function (CCF), formulated within a __p__‐metric distance function framework, is proposed as a generator of several compromise consensuses. Even though, the proposed CCF is not smooth, it is however demonstrated that it can be straightforwardly transfor
Undesirable outputs are often produced together with desirable outputs. This joint production of good and bad outputs is typically ignored in traditional measures of productivity since "prices" are typically unavailable for bad outputs. Here we introduce a directional distance function and use it as