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dc.contributor.authorPEGORARE, A. B.
dc.contributor.authorMORAES, P. M. de
dc.contributor.authorCOSTA, R. B. da
dc.contributor.authorABREU, U. G. P. de
dc.contributor.authorMENDES, D. R. F.
dc.contributor.authorMOREIRA, T. B. S.
dc.contributor.authorCUNHA, G. H. de
dc.contributor.authorCONSTANTINO, M.
dc.date.accessioned2019-03-13T00:26:27Z-
dc.date.available2019-03-13T00:26:27Z-
dc.date.created2018-04-09
dc.date.issued2018
dc.identifier.citationAfrican Journal of Agricultural Research, v. 13, n. 4, p. 167-180, jan. 2018.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1090379-
dc.descriptionThe aim of this paper is to present novel variables in the Brazilian Central-West Region to evaluate the spatial dependence of the Gross Domestic Product of agriculture and livestock (GDPagri) and the Gross Value of Production (GVP) on the main agricultural and livestock commodities in order to identify clusters of high and low spatial correlations. Data on the municipalities of Mato Grosso do Sul State (MS) between 2000 and 2010 is used. Initially, a spatial exploratory data analysis is performed to verify the hypothesis of global spatial randomness of the evolution of GDPagri and GVP, with Moran's I statistic as the instrumental measurement. In addition, econometric and spatial models were utilized. The results of the three spatial models used indicated that the SAR model (Spatial Auto Regressive) is most appropriate for the evaluation of GDPagri in MS. Despite beef cattle having presented the greatest GVP, the culture of sugar cane allowed for a greater increase in GDPagri.
dc.language.isoporpt_BR
dc.rightsopenAccesspt_BR
dc.titleSpatial econometric analysis of the main agricultural commodities produced in Central-West Region, Brazil.
dc.typeArtigo de periódico
dc.date.updated2019-03-13T00:26:27Zpt_BR
dc.subject.thesagroEconomia agricola
dc.subject.thesagroGado de corte
dc.subject.nalthesaurusBeef cattle
dc.subject.nalthesaurusAgribusiness
riaa.ainfo.id1090379
riaa.ainfo.lastupdate2019-03-12
dc.contributor.institutionALEXANDER BRUNO PEGORARE, IBGE-MS Brazilian Institute of Geography and Statistics; PAULA MARTIN DE MORAES, Catholic University of Brasília (UCB); REGINALDO BRITO DA COSTA, Catholic University of Brasília (UCB); URBANO GOMES PINTO DE ABREU, CPAP; DANY RAFAEL FONSECA MENDES, University Center of Brasília - UniCEUB; TITO BELCHIOR SILVA MOREIRA, Catholic University of Brasília (UCB); GEORGE HENRIQUE DE MOURA CUNHA, Catholic University of Brasília (UCB); MICHEL CONSTANTINO, Catholic University of Brasília (UCB).
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