DEA Models Without Inputs or Outputs: A Tour de Force

Giannis Karagiannis

A chapter in Advances in Efficiency and Productivity Analysis, 2021, pp 211-232 from Springer

Abstract: Abstract In this paper we review DEA models without outputs or inputs and models with a single constant input or output and we explore their properties and relations. Then we summarize their potential usefulness in several applications, including (a) multiple criteria decision-making (MCDM) such as supplier selection and ABC inventory classification, (b) construction of composite indicators (environmental, sustainability, subjective well being, etc.), (c) ratio analysis, and (d) spatial efficiency. We further consider the cases of optimistic versus pessimistic composite indicators and of intra- and inter-group composite indicators. We also explore the usefulness of these models in other topics of performance evaluation such as cross efficiency, efficiency based on common weights, and productivity analysis. Lastly, we consider their aggregation across DMUs rules.

Keywords: Data envelopment analysis; Radial models without inputs or outputs; Radial models with single constant input or output (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-030-47106-4_10

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DOI: 10.1007/978-3-030-47106-4_10

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