Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1140027
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dc.contributor.authorGOMES, E. G.
dc.contributor.authorFIDALGO, E. C. C.
dc.contributor.authorOLIVEIRA, E.
dc.contributor.authorMARTINS, A. L. da S.
dc.contributor.authorOLIVEIRA, A. P. de
dc.contributor.authorCOELHO, M. R.
dc.date.accessioned2022-02-14T18:02:35Z-
dc.date.available2022-02-14T18:02:35Z-
dc.date.created2022-02-14
dc.date.issued2022
dc.identifier.citationIn: PEDOMETRICS BRAZIL, 2., 2021, Rio de Janeiro. Annals [...]. Rio de Janeiro: Embrapa Solos, 2022. Não paginado. Evento online.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1140027-
dc.descriptionIn this paper we evaluate the agricultural efficiency of the municipalities of the state Rio de Janeiro and assess the influence of contextual variables on the performance. The scores are computed by means of Data Envelopment Analysis (DEA) models, where inputs are land, labor and capital (or technology), and the value of crops and of livestock productions are the outputs. Covariates are related to soil evaluation (susceptibility to erosion and land use suitability) and to socioeconomic factors. The results show that high levels of susceptibility to erosion influence negatively and significantly the efficiency scores. The land suitability to agriculture and the land suitability to livestock are positively associated with performance. The presence of family-based farmers favors the agricultural performance of the assessed municipalities.
dc.language.isoeng
dc.rightsopenAccess
dc.subjectAgricultural performance
dc.subjectData envelopment analysis
dc.subjectFractional regression
dc.titleSoil evaluation and socioeconomic factors influence on agricultural efficiency: a pilot study in Rio de Janeiro.
dc.typeArtigo em anais e proceedings
dc.subject.thesagroErosão do Solo
dc.subject.thesagroAptidão Agrícola
dc.subject.thesagroUso da Terra
dc.subject.nalthesaurusSoil erosion
dc.subject.nalthesaurusLand use
dc.subject.nalthesaurusLand suitability
riaa.ainfo.id1140027
riaa.ainfo.lastupdate2022-02-14
dc.contributor.institutionELIANE GONCALVES GOMES, SIRE; ELAINE CRISTINA CARDOSO FIDALGO, CNPS; ELTON OLIVEIRA, UFF; ALBA LEONOR DA SILVA MARTINS, CNPS; ALINE PACOBAHYBA DE OLIVEIRA, CNPS; MAURICIO RIZZATO COELHO, CNPS.
Aparece nas coleções:Artigo em anais de congresso / Embrapa Unidades Centrais (AI-SEDE)

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