Título :	An applied study of data envelopment analysis on Brazilian agriculture data
Autor :	Pena, Carlos Rosano Serrano, André Luiz Marques Ferreira, Lucas Oliveira Gomes Guarnieri, Patrícia Peixoto, Maria Gabriela Mendonça Neumann, Clóvis Souza, João Carlos Félix Granemann, Sérgio Ronaldo Castro, Renata Santos, Gilmar
metadata.dc.contributor.affiliation:	University of Brasília, Department of Management University of Brasília, Department of Production Engineering University of Brasília, Department of Accounting University of Brasília, Department of Management University of Brasília, Department of Production Engineering University of Brasília, Department of Production Engineering University of Brasília, Department of Production Engineering University of Brasília, Department of Production Engineering Federal District Government, Brasília, Brazil Federal District Government, Brasília, Brazil
Assunto::	Ecoeficiência Análise espacial Agricultura
Fecha de publicación :	2023
Editorial :	Beijing Jiaotong University, China
Citación :	PENA, 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.
Abstract:	This 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.
metadata.dc.description.unidade:	Faculdade de Economia, Administração, Contabilidade e Gestão de Políticas Públicas (FACE) Departamento de Administração (FACE ADM) Faculdade de Tecnologia (FT) Departamento de Engenharia de Produção (FT EPR)
DOI:	10.33168/JSMS.2023.0335
metadata.dc.relation.publisherversion:	http://www.aasmr.org/jsms/Vol13/No.3/Vol.13.3.35.pdf
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