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        <identifier>oai:grips.repo.nii.ac.jp:00001536</identifier>
        <datestamp>2023-11-20T08:44:43Z</datestamp>
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          <dc:title>On the Consistency of Slacks-based Measure-Max Model and Super-Slacks-based Measure Model</dc:title>
          <dc:creator>TONE, Kaoru</dc:creator>
          <dc:subject>Data Envelopment Analysis</dc:subject>
          <dc:subject>Slacks-based Measure</dc:subject>
          <dc:subject>SBM-Max</dc:subject>
          <dc:subject>Super-SBM</dc:subject>
          <dc:description>https://www.grips.ac.jp/list/facultyinfo/tone_kaoru/</dc:description>
          <dc:description>Slacks-based measure (SBM) (Tone (2001), Pastor et al. (1999)) has been widely utilized as a representative non-radial DEA model. However, this model, called SBM-Min here, evaluates the efficiency of an inefficient DMU referring to the furthest frontier point within a range. In contrast, the SBM-Max model looks for the nearest frontier point and hence its score is generally greater than the SBM-Min score. The Super-SBM model (Tone (2002)) evaluates the efficiency of an efficient DMU referring to the nearest point on the frontier except itself. We can foresee a close connection between SBM-Max and Super-SBM models, because the motivations behind the two models are same. In this paper we demonstrate this consistency using a real dataset.</dc:description>
          <dc:description>technical report</dc:description>
          <dc:publisher>GRIPS Policy Research Center</dc:publisher>
          <dc:type>AM</dc:type>
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          <dc:identifier>https://grips.repo.nii.ac.jp/record/1536/files/DP16-24.pdf</dc:identifier>
          <dc:identifier>https://doi.org/10.24545/00001533</dc:identifier>
          <dc:identifier>https://grips.repo.nii.ac.jp/records/1536</dc:identifier>
          <dc:language>eng</dc:language>
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