Cross-efficiencyBasedonGeneralized-DEAandItsApplication

Traditional DEA selects automatically inner Decision-Making Units (DMUs) as the reference set. However, some applications might need specified units. Based on generalized DEA and cross-efficiency DEA, a cross-GDEA model is constructed in this paper, which not only considers any specified reference s...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of physics. Conference series 2023-12, Vol.2660 (1), p.12025
Hauptverfasser: Shu, Yingting, Cai, Yongrun
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page
container_issue 1
container_start_page 12025
container_title Journal of physics. Conference series
container_volume 2660
creator Shu, Yingting
Cai, Yongrun
description Traditional DEA selects automatically inner Decision-Making Units (DMUs) as the reference set. However, some applications might need specified units. Based on generalized DEA and cross-efficiency DEA, a cross-GDEA model is constructed in this paper, which not only considers any specified reference set in efficiency evaluation but also ranks distinguishably all DMUs. A numerical example and comparative analysis are given to illustrate the reasonableness of the cross-GDEA model. Comparative analysis with several established DEA models reveals the superior flexibility and generality of our method. Furthermore, an application aiming at measuring the multiple-factor carbon productivity of Western China is given to verify the applicability of the cross-GDEA model. Results show the proposed approach can contribute to advancing the theoretical and practical research of DEA.
doi_str_mv 10.1088/1742-6596/2660/1/012025
format Article
fullrecord <record><control><sourceid>proquest_iop_j</sourceid><recordid>TN_cdi_proquest_journals_2900681158</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2900681158</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2745-da96f45c54aeb8f8b8c0a74f67072e1f8afff2d49ebdc3f116581cc785bd06d43</originalsourceid><addsrcrecordid>eNqFUE1Lw0AQXUTBWv0NHrwJMbOb_cqxxlorBQX1vGz2A7bUJO62h_rrTYhUBMG5zMC892beQ-gSww0GKXMsKMk4K3lOOIcc54AJEHaEJofN8WGW8hSdpbQGKPoSEySq2KaUOe-DCa4x-1udnG2bhWtc1Jvw6Wx2N5_pxi63adZ1m2D0NrTNOTrxepPcxXeforf7-Wv1kK2eFstqtsoMEZRlVpfcU2YY1a6WXtbSgBbUcwGCOOyl9t4TS0tXW1N4jPsXsTFCstoCt7SYoqtRt4vtx86lrVq3u9j0JxUpAbjEmMkeJUaUGdxE51UXw7uOe4VBDSmpwb8aslBDSgqrMaWeWYzM0HY_0v-zrv9gPT5XL7-BqrO--AJGtHcS</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2900681158</pqid></control><display><type>article</type><title>Cross-efficiencyBasedonGeneralized-DEAandItsApplication</title><source>Institute of Physics Open Access Journal Titles</source><source>EZB-FREE-00999 freely available EZB journals</source><source>IOPscience extra</source><source>Alma/SFX Local Collection</source><source>Free Full-Text Journals in Chemistry</source><creator>Shu, Yingting ; Cai, Yongrun</creator><creatorcontrib>Shu, Yingting ; Cai, Yongrun</creatorcontrib><description>Traditional DEA selects automatically inner Decision-Making Units (DMUs) as the reference set. However, some applications might need specified units. Based on generalized DEA and cross-efficiency DEA, a cross-GDEA model is constructed in this paper, which not only considers any specified reference set in efficiency evaluation but also ranks distinguishably all DMUs. A numerical example and comparative analysis are given to illustrate the reasonableness of the cross-GDEA model. Comparative analysis with several established DEA models reveals the superior flexibility and generality of our method. Furthermore, an application aiming at measuring the multiple-factor carbon productivity of Western China is given to verify the applicability of the cross-GDEA model. Results show the proposed approach can contribute to advancing the theoretical and practical research of DEA.</description><identifier>ISSN: 1742-6588</identifier><identifier>EISSN: 1742-6596</identifier><identifier>DOI: 10.1088/1742-6596/2660/1/012025</identifier><language>eng</language><publisher>Bristol: IOP Publishing</publisher><subject>Physics</subject><ispartof>Journal of physics. Conference series, 2023-12, Vol.2660 (1), p.12025</ispartof><rights>Published under licence by IOP Publishing Ltd</rights><rights>Published under licence by IOP Publishing Ltd. This work is published under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2745-da96f45c54aeb8f8b8c0a74f67072e1f8afff2d49ebdc3f116581cc785bd06d43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://iopscience.iop.org/article/10.1088/1742-6596/2660/1/012025/pdf$$EPDF$$P50$$Giop$$Hfree_for_read</linktopdf><link.rule.ids>315,781,785,27929,27930,38873,38895,53845,53872</link.rule.ids></links><search><creatorcontrib>Shu, Yingting</creatorcontrib><creatorcontrib>Cai, Yongrun</creatorcontrib><title>Cross-efficiencyBasedonGeneralized-DEAandItsApplication</title><title>Journal of physics. Conference series</title><addtitle>J. Phys.: Conf. Ser</addtitle><description>Traditional DEA selects automatically inner Decision-Making Units (DMUs) as the reference set. However, some applications might need specified units. Based on generalized DEA and cross-efficiency DEA, a cross-GDEA model is constructed in this paper, which not only considers any specified reference set in efficiency evaluation but also ranks distinguishably all DMUs. A numerical example and comparative analysis are given to illustrate the reasonableness of the cross-GDEA model. Comparative analysis with several established DEA models reveals the superior flexibility and generality of our method. Furthermore, an application aiming at measuring the multiple-factor carbon productivity of Western China is given to verify the applicability of the cross-GDEA model. Results show the proposed approach can contribute to advancing the theoretical and practical research of DEA.</description><subject>Physics</subject><issn>1742-6588</issn><issn>1742-6596</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>O3W</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNqFUE1Lw0AQXUTBWv0NHrwJMbOb_cqxxlorBQX1vGz2A7bUJO62h_rrTYhUBMG5zMC892beQ-gSww0GKXMsKMk4K3lOOIcc54AJEHaEJofN8WGW8hSdpbQGKPoSEySq2KaUOe-DCa4x-1udnG2bhWtc1Jvw6Wx2N5_pxi63adZ1m2D0NrTNOTrxepPcxXeforf7-Wv1kK2eFstqtsoMEZRlVpfcU2YY1a6WXtbSgBbUcwGCOOyl9t4TS0tXW1N4jPsXsTFCstoCt7SYoqtRt4vtx86lrVq3u9j0JxUpAbjEmMkeJUaUGdxE51UXw7uOe4VBDSmpwb8aslBDSgqrMaWeWYzM0HY_0v-zrv9gPT5XL7-BqrO--AJGtHcS</recordid><startdate>20231201</startdate><enddate>20231201</enddate><creator>Shu, Yingting</creator><creator>Cai, Yongrun</creator><general>IOP Publishing</general><scope>O3W</scope><scope>TSCCA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>H8D</scope><scope>HCIFZ</scope><scope>L7M</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope></search><sort><creationdate>20231201</creationdate><title>Cross-efficiencyBasedonGeneralized-DEAandItsApplication</title><author>Shu, Yingting ; Cai, Yongrun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2745-da96f45c54aeb8f8b8c0a74f67072e1f8afff2d49ebdc3f116581cc785bd06d43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Physics</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shu, Yingting</creatorcontrib><creatorcontrib>Cai, Yongrun</creatorcontrib><collection>Institute of Physics Open Access Journal Titles</collection><collection>IOPscience (Open Access)</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Aerospace Database</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><jtitle>Journal of physics. Conference series</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shu, Yingting</au><au>Cai, Yongrun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cross-efficiencyBasedonGeneralized-DEAandItsApplication</atitle><jtitle>Journal of physics. Conference series</jtitle><addtitle>J. Phys.: Conf. Ser</addtitle><date>2023-12-01</date><risdate>2023</risdate><volume>2660</volume><issue>1</issue><spage>12025</spage><pages>12025-</pages><issn>1742-6588</issn><eissn>1742-6596</eissn><abstract>Traditional DEA selects automatically inner Decision-Making Units (DMUs) as the reference set. However, some applications might need specified units. Based on generalized DEA and cross-efficiency DEA, a cross-GDEA model is constructed in this paper, which not only considers any specified reference set in efficiency evaluation but also ranks distinguishably all DMUs. A numerical example and comparative analysis are given to illustrate the reasonableness of the cross-GDEA model. Comparative analysis with several established DEA models reveals the superior flexibility and generality of our method. Furthermore, an application aiming at measuring the multiple-factor carbon productivity of Western China is given to verify the applicability of the cross-GDEA model. Results show the proposed approach can contribute to advancing the theoretical and practical research of DEA.</abstract><cop>Bristol</cop><pub>IOP Publishing</pub><doi>10.1088/1742-6596/2660/1/012025</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1742-6588
ispartof Journal of physics. Conference series, 2023-12, Vol.2660 (1), p.12025
issn 1742-6588
1742-6596
language eng
recordid cdi_proquest_journals_2900681158
source Institute of Physics Open Access Journal Titles; EZB-FREE-00999 freely available EZB journals; IOPscience extra; Alma/SFX Local Collection; Free Full-Text Journals in Chemistry
subjects Physics
title Cross-efficiencyBasedonGeneralized-DEAandItsApplication
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-16T10%3A04%3A27IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_iop_j&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Cross-efficiencyBasedonGeneralized-DEAandItsApplication&rft.jtitle=Journal%20of%20physics.%20Conference%20series&rft.au=Shu,%20Yingting&rft.date=2023-12-01&rft.volume=2660&rft.issue=1&rft.spage=12025&rft.pages=12025-&rft.issn=1742-6588&rft.eissn=1742-6596&rft_id=info:doi/10.1088/1742-6596/2660/1/012025&rft_dat=%3Cproquest_iop_j%3E2900681158%3C/proquest_iop_j%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2900681158&rft_id=info:pmid/&rfr_iscdi=true