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        <identifier>oai:nagoya.repo.nii.ac.jp:00018456</identifier>
        <datestamp>2023-01-16T04:27:28Z</datestamp>
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          <dc:title xml:lang="en">Scale and scope economies of Japanese private universities revisited with an input distance function approach</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Nemoto, Jiro</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Furumatsu, Noriko</jpcoar:creatorName>
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          <dcterms:accessRights rdf:resource="http://purl.org/coar/access_right/c_abf2">open access</dcterms:accessRights>
          <dc:rights xml:lang="en">Springer's open access article</dc:rights>
          <jpcoar:subject subjectScheme="Other">Scale economies</jpcoar:subject>
          <jpcoar:subject subjectScheme="Other">Scope economies</jpcoar:subject>
          <jpcoar:subject subjectScheme="Other">Input distance function</jpcoar:subject>
          <jpcoar:subject subjectScheme="Other">Higher education cost</jpcoar:subject>
          <datacite:description xml:lang="en" descriptionType="Abstract">This paper examines the scale and scope economies of higher education institutions in Japan assuming the presence of productive inefficiency. The standard approach to testing the scope economies is to apply the cost function. However, the cost function approach often entails the difficulty of obtaining reliable data on input prices, especially the input prices of capital for higher education institutions. This paper proposes a duality approach based on the input distance function. The scope economies are tested under a necessary and sufficient condition by retrieving the costs of joint and separate production from the input distance function. We apply the testing procedure to data pertaining to 218 Japanese private universities in 1999 and 2004. The results indicate the scale economies and the scope diseconomies.</datacite:description>
          <dc:publisher xml:lang="en">Springer</dc:publisher>
          <datacite:date dateType="Issued">2014-04</datacite:date>
          <dc:language>eng</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_6501">journal article</dc:type>
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          <jpcoar:identifier identifierType="HDL">http://hdl.handle.net/2237/20574</jpcoar:identifier>
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            <jpcoar:relatedIdentifier identifierType="DOI">https://doi.org/10.1007/s11123-013-0378-3</jpcoar:relatedIdentifier>
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          <jpcoar:sourceIdentifier identifierType="PISSN">0895-562X</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle xml:lang="en">Journal of Productivity Analysis</jpcoar:sourceTitle>
          <jpcoar:volume>41</jpcoar:volume>
          <jpcoar:issue>2</jpcoar:issue>
          <jpcoar:pageStart>213</jpcoar:pageStart>
          <jpcoar:pageEnd>226</jpcoar:pageEnd>
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            <datacite:date dateType="Available">2018-02-21</datacite:date>
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