{"id":"https://openalex.org/W1016906017","doi":"https://doi.org/10.1016/j.procs.2015.07.059","title":"Productivity Analysis and Variable Returns of Scale: DEA Efficiency Frontier Interpretation","display_name":"Productivity Analysis and Variable Returns of Scale: DEA Efficiency Frontier Interpretation","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W1016906017","doi":"https://doi.org/10.1016/j.procs.2015.07.059","mag":"1016906017"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2015.07.059","doi":"https://doi.org/10.1016/j.procs.2015.07.059","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2015.07.059","pdf_url":"https://www.sciencedirect.com/science/article/pii/S1877050915015343/pdf","source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"volume":null,"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://www.sciencedirect.com/science/article/pii/S1877050915015343/pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048181699","display_name":"Juliana Ben\u00edcio","orcid":"https://orcid.org/0000-0003-0976-3146","observed_orcids":["https://orcid.org/0000-0003-0976-3146"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Juliana Benicio","raw_affiliation_strings":["Faculdade Cenecista de Rio Bonito - FACERB, Rio Bonito, Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculdade Cenecista de Rio Bonito - FACERB, Rio Bonito, Rio de Janeiro, Brazil","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052408707","display_name":"Jo\u00e3o Carlos Correia Baptista Soares de Mello","orcid":"https://orcid.org/0000-0002-6507-2721","observed_orcids":["https://orcid.org/0000-0002-6507-2721"]},"institutions":[{"id":"https://openalex.org/I161127581","display_name":"Universidade Federal Fluminense","ror":"https://ror.org/02rjhbb08","country_code":"BR","type":"education","lineage":["https://openalex.org/I161127581"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Jo\u00e3o Carlos Soares de Mello","raw_affiliation_strings":["Faculdade Federal Flumeinense, Niter\u00f3i, Rio de Janeiro, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculdade Federal Flumeinense, Niter\u00f3i, Rio de Janeiro, Brazil","institution_ids":["https://openalex.org/I161127581"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5052408707"],"corresponding_institution_ids":["https://openalex.org/I161127581"],"apc_list":null,"apc_paid":null,"fwci":0.558,"has_fulltext":true,"cited_by_count":36,"citation_normalized_percentile":{"value":0.61059777,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"55","issue":null,"first_page":"341","last_page":"349"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10357","display_name":"Efficiency Analysis Using DEA","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14239","display_name":"Business, Education, Mathematics Research","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/data-envelopment-analysis","display_name":"data envelopment analysis","score":0.9290000200271606},{"id":"https://openalex.org/keywords/variable-returns-to-scale","display_name":"variable returns to scale","score":0.9879999756813049},{"id":"https://openalex.org/keywords/efficient-frontier","display_name":"efficient frontier","score":0.8029999732971191},{"id":"https://openalex.org/keywords/ccr-model","display_name":"CCR model","score":0.6769999861717224},{"id":"https://openalex.org/keywords/bcc-model","display_name":"BCC model","score":1.0},{"id":"https://openalex.org/keywords/efficiency-evaluation","display_name":"efficiency measurement","score":0.4819999933242798},{"id":"https://openalex.org/keywords/university-administration","display_name":"university administration","score":0.6100000143051147},{"id":"https://openalex.org/keywords/university-efficiency","display_name":"university efficiency","score":0.5320000052452087}],"concepts":[{"id":"https://openalex.org/C165083353","wikidata":"https://www.wikidata.org/wiki/Q282942","display_name":"Returns to scale","level":3,"score":0.7260376811027527},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.7173646688461304},{"id":"https://openalex.org/C51485801","wikidata":"https://www.wikidata.org/wiki/Q16966861","display_name":"Efficient frontier","level":3,"score":0.7089337110519409},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6981043815612793},{"id":"https://openalex.org/C204983608","wikidata":"https://www.wikidata.org/wiki/Q2111958","display_name":"Productivity","level":2,"score":0.6816709041595459},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6321337819099426},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5743047595024109},{"id":"https://openalex.org/C22088475","wikidata":"https://www.wikidata.org/wiki/Q647974","display_name":"Data envelopment analysis","level":2,"score":0.5575632452964783},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.5459734797477722},{"id":"https://openalex.org/C2778571376","wikidata":"https://www.wikidata.org/wiki/Q1355821","display_name":"Frontier","level":2,"score":0.5200504660606384},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.44227609038352966},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.2725098133087158},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2534121870994568},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.18174123764038086},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14758840203285217},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.12498125433921814},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.11694204807281494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11279210448265076},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C2780821815","wikidata":"https://www.wikidata.org/wiki/Q5340806","display_name":"Portfolio","level":2,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2015.07.059","doi":"https://doi.org/10.1016/j.procs.2015.07.059","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2015.07.059","pdf_url":"https://www.sciencedirect.com/science/article/pii/S1877050915015343/pdf","source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2015.07.059","doi":"https://doi.org/10.1016/j.procs.2015.07.059","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2015.07.059","pdf_url":"https://www.sciencedirect.com/science/article/pii/S1877050915015343/pdf","source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W1016906017.pdf","grobid_xml":"https://content.openalex.org/works/W1016906017.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1523104724","https://openalex.org/W1564437408","https://openalex.org/W1830125888","https://openalex.org/W1956044316","https://openalex.org/W1967711861","https://openalex.org/W1994901981","https://openalex.org/W2015718720","https://openalex.org/W2026696199","https://openalex.org/W2065525347","https://openalex.org/W2076452041","https://openalex.org/W2078838764","https://openalex.org/W2119101914","https://openalex.org/W2129763896","https://openalex.org/W2160632277","https://openalex.org/W2162180338","https://openalex.org/W2188570226","https://openalex.org/W2322316662"],"related_works":["https://openalex.org/W6968043868","https://openalex.org/W2229824254","https://openalex.org/W7100954922","https://openalex.org/W2170481192","https://openalex.org/W2484250255","https://openalex.org/W2082589799","https://openalex.org/W2134236886","https://openalex.org/W2183581301","https://openalex.org/W2946517386","https://openalex.org/W2067940976"],"abstract_inverted_index":{"The":[0,40,67],"main":[1],"objective":[2],"of":[3,14,28,43,64,74,78],"this":[4],"paper":[5],"is":[6,23],"to":[7,17,33,61],"analyze":[8],"DMUs":[9,29],"efficiency":[10,73],"from":[11],"the":[12,26,34,38,54,65,72],"perspective":[13],"variable":[15],"returns":[16],"scale.":[18],"Thus,":[19],"a":[20,49],"case":[21,68],"study":[22,69],"proposed,":[24],"where":[25],"efficiencies":[27],"suffer":[30],"variation":[31],"according":[32],"methods":[35],"used":[36],"in":[37],"analysis.":[39],"classic":[41],"models":[42],"DEA,":[44],"CCR":[45],"and":[46,48],"BCC,":[47],"new":[50],"model":[51],"proposed":[52],"by":[53],"authors,":[55],"will":[56,70],"have":[57],"their":[58],"results":[59],"compared":[60],"classical":[62],"foundations":[63],"economy.":[66],"examine":[71],"administrative":[75],"units":[76],"selected":[77],"Undergraduate":[79],"Higher":[80],"Education.":[81]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":5},{"year":2017,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}