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Universidade de Brasília
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dc.contributor.authorPena, Carlos Rosano-
dc.contributor.authorSerrano, André Luiz Marques-
dc.contributor.authorFerreira, Lucas Oliveira Gomes-
dc.contributor.authorGuarnieri, Patrícia-
dc.contributor.authorPeixoto, Maria Gabriela Mendonça-
dc.contributor.authorNeumann, Clóvis-
dc.contributor.authorSouza, João Carlos Félix-
dc.contributor.authorGranemann, Sérgio Ronaldo-
dc.contributor.authorCastro, Renata-
dc.contributor.authorSantos, Gilmar-
dc.date.accessioned2026-09-23T15:50:10Z-
dc.date.available2026-09-23T15:50:10Z-
dc.date.issued2023-
dc.identifier.citationPENA, Carlos Rosano et al. An applied study of data envelopment analysis on Brazilian agriculture data. Journal of System and Management Sciences, [S. l.], v. 13, n. 3, p. 517-532, 2023. DOI: 10.33168/JSMS.2023.0335. Disponível em: http://www.aasmr.org/jsms/Vol13/No.3/Vol.13.3.35.pdf.pt_BR
dc.identifier.urihttp://repositorio.unb.br/handle/10482/56979-
dc.language.isoengpt_BR
dc.publisherBeijing Jiaotong University, Chinapt_BR
dc.rightsAcesso Abertopt_BR
dc.titleAn applied study of data envelopment analysis on Brazilian agriculture datapt_BR
dc.typeArtigopt_BR
dc.subject.keywordEcoeficiênciapt_BR
dc.subject.keywordAnálise espacialpt_BR
dc.subject.keywordAgriculturapt_BR
dc.identifier.doi10.33168/JSMS.2023.0335pt_BR
dc.relation.publisherversionhttp://www.aasmr.org/jsms/Vol13/No.3/Vol.13.3.35.pdfpt_BR
dc.description.abstract1This paper aimed to estimate and spatially analyze an agricultural eco-efficiency index for the Central-West Brazilian municipalities. To achieve this objective, we used methods of Data Envelopment Analysis (DEA) combined with directional distance functions and Moran Indexes. The results allow for two inferences: i) the ecoefficiency index verifies the possibilities of maximizing economic and environmental objectives by imitating the region's best practices, and ii) the evidence of a spatial correlation between the eco-efficiency index and the presence of three large territorial clusters. Based on this information, one can define priorities for local and regional environmental intervention to optimize the sustainability of farming and ranching in the region, confirming the shortage function and previous empirical studies. These results show that local and regional environmental intervention priorities can optimize agriculture sustainability in specified regions. Future studies can use data mining techniques to include other variables correlated to environmental issues.pt_BR
dc.contributor.affiliationUniversity of Brasília, Department of Managementpt_BR
dc.contributor.affiliationUniversity of Brasília, Department of Production Engineeringpt_BR
dc.contributor.affiliationUniversity of Brasília, Department of Accountingpt_BR
dc.contributor.affiliationUniversity of Brasília, Department of Managementpt_BR
dc.contributor.affiliationUniversity of Brasília, Department of Production Engineeringpt_BR
dc.contributor.affiliationUniversity of Brasília, Department of Production Engineeringpt_BR
dc.contributor.affiliationUniversity of Brasília, Department of Production Engineeringpt_BR
dc.contributor.affiliationUniversity of Brasília, Department of Production Engineeringpt_BR
dc.contributor.affiliationFederal District Government, Brasília, Brazilpt_BR
dc.contributor.affiliationFederal District Government, Brasília, Brazilpt_BR
dc.description.unidadeFaculdade de Economia, Administração, Contabilidade e Gestão de Políticas Públicas (FACE)pt_BR
dc.description.unidadeDepartamento de Administração (FACE ADM)pt_BR
dc.description.unidadeFaculdade de Tecnologia (FT)pt_BR
dc.description.unidadeDepartamento de Engenharia de Produção (FT EPR)pt_BR
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