Nonparametric production technologies with multiple component processes

Victor V. Podinovski, Ole Bent Olesen, Cláudia Sarrico

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Resumé

We develop a nonparametric methodology for assessing the efficiency of decision- making units operating in a production technology with several component processes. The latter is modeled by the new multiple hybrid returns-to-scale (MHRS) technology, formally derived from an explicitly stated set of production axioms. In contrast with the existing models of data envelopment analysis (DEA), the MHRS technology allows the incorporation of component-specific and shared inputs and outputs that represent several proportional (scalable) component production processes as well as nonproportional inputs and outputs. Our approach does not require information about the allocation of shared inputs and outputs to component processes or any assumptions about this allocation. We demonstrate the usefulness of the suggested approach in an application in the context of secondary education and also in a Monte Carlo study based on a simulated data generating process.

OriginalsprogEngelsk
TidsskriftOperations Research
Vol/bind66
Udgave nummer1
Sider (fra-til)282-300
ISSN0030-364X
DOI
StatusUdgivet - 2018

Fingeraftryk

Data envelopment analysis
Education
Decision making
Production technology
Returns to scale
Methodology
Production process
Axioms
Decision making units
Monte Carlo study
Usefulness
Data generating process
Secondary education

Citer dette

Podinovski, Victor V. ; Olesen, Ole Bent ; Sarrico, Cláudia. / Nonparametric production technologies with multiple component processes. I: Operations Research. 2018 ; Bind 66, Nr. 1. s. 282-300.
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Nonparametric production technologies with multiple component processes. / Podinovski, Victor V.; Olesen, Ole Bent; Sarrico, Cláudia.

I: Operations Research, Bind 66, Nr. 1, 2018, s. 282-300.

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

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