Nonparametric production technologies with multiple component processes

Victor V. Podinovski, Ole Bent Olesen, Cláudia Sarrico

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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.

Original languageEnglish
JournalOperations Research
Issue number1
Pages (from-to)282-300
Publication statusPublished - 2018


  • Data envelopment analysis
  • Efficiency
  • Multiple-component technology
  • Secondary education


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