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003 | ZW-GwMSU | ||
005 | 20230914091022.0 | ||
008 | 230914b |||||||| |||| 00| 0 eng d | ||
040 |
_aMSU _cMSU _erda |
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100 | _aASAVA - VALLOBH, Norabajra | ||
245 | _aIntroducing a new DEA methodology for environmental inputs | ||
264 |
_aNew York _bTaylor & Francis _c2013 |
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336 |
_2rdacontent _atext _btxt |
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337 |
_2rdamedia _aunmediated _bn |
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338 |
_2rdacarrier _avolume _bnc |
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440 |
_aApplied Economics Letters _vVolume , number , |
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520 | _aData envelopment analysis or DEA is a standard methodology for assessing technical efficiency. In many DEA applications, e.g. in the case of schools or hospitals, the issue arises of calculating efficiency in the presence of nondiscretionary/environmental inputs. We propose a three-stage DEA model to address the environmental input issue, and we provide a simulation analysis that illustrates the implementation and potential advantages of our approach relative to the leading existing multi-stage model of nondiscretionary inputs. | ||
650 | _aefficiency measurement | ||
650 | _adata envelopement analysis | ||
650 | _aenvironmental inputs | ||
700 | _aGRONBERG, Timothy J | ||
700 | _aJANSEN, Dennis W | ||
856 | _uhttps://doi.org/10.1080/13504851.2013.826865 | ||
942 |
_2lcc _cJA |
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999 |
_c163247 _d163247 |