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Nonparametric production technologies with multiple component processes
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 p...
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| Format: | Default Article |
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2017
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| Online Access: | https://hdl.handle.net/2134/26133 |
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| _version_ | 1822543782510329856 |
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| author | Victor Podinovski Ole Bent Olesen Claudia S. Sarrico |
| author_facet | Victor Podinovski Ole Bent Olesen Claudia S. Sarrico |
| author_sort | Victor Podinovski (1256964) |
| collection | Figshare |
| description | 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. |
| format | Default Article |
| id | rr-article-9503663 |
| institution | Loughborough University |
| publishDate | 2017 |
| record_format | Figshare |
| spelling | rr-article-95036632017-11-16T00:00:00Z Nonparametric production technologies with multiple component processes Victor Podinovski (1256964) Ole Bent Olesen (7198568) Claudia S. Sarrico (7199618) Other commerce, management, tourism and services not elsewhere classified Theory of computation not elsewhere classified Data envelopment analysis Efficiency Multiple-component technology Secondary education Computation Theory and Mathematics Business and Management not elsewhere classified 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. 2017-11-16T00:00:00Z Text Journal contribution 2134/26133 https://figshare.com/articles/journal_contribution/Nonparametric_production_technologies_with_multiple_component_processes/9503663 CC BY-NC-ND 4.0 |
| spellingShingle | Other commerce, management, tourism and services not elsewhere classified Theory of computation not elsewhere classified Data envelopment analysis Efficiency Multiple-component technology Secondary education Computation Theory and Mathematics Business and Management not elsewhere classified Victor Podinovski Ole Bent Olesen Claudia S. Sarrico Nonparametric production technologies with multiple component processes |
| title | Nonparametric production technologies with multiple component processes |
| title_full | Nonparametric production technologies with multiple component processes |
| title_fullStr | Nonparametric production technologies with multiple component processes |
| title_full_unstemmed | Nonparametric production technologies with multiple component processes |
| title_short | Nonparametric production technologies with multiple component processes |
| title_sort | nonparametric production technologies with multiple component processes |
| topic | Other commerce, management, tourism and services not elsewhere classified Theory of computation not elsewhere classified Data envelopment analysis Efficiency Multiple-component technology Secondary education Computation Theory and Mathematics Business and Management not elsewhere classified |
| url | https://hdl.handle.net/2134/26133 |