Spatial econometric analysis of the main agricultural commodities produced in Central-West Region, Brazil.
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1090379 |
Resumo: | The 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. |
id |
EMBR_8800b7b46f43c86d66baadbeba860a56 |
---|---|
oai_identifier_str |
oai:www.alice.cnptia.embrapa.br:doc/1090379 |
network_acronym_str |
EMBR |
network_name_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository_id_str |
2154 |
spelling |
Spatial econometric analysis of the main agricultural commodities produced in Central-West Region, Brazil.Economia agricolaGado de corteBeef cattleAgribusinessThe 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.ALEXANDER 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).PEGORARE, A. B.MORAES, P. M. deCOSTA, R. B. daABREU, U. G. P. deMENDES, D. R. F.MOREIRA, T. B. S.CUNHA, G. H. deCONSTANTINO, M.2019-03-13T00:26:27Z2019-03-13T00:26:27Z2018-04-0920182019-03-13T00:26:27Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleAfrican Journal of Agricultural Research, v. 13, n. 4, p. 167-180, jan. 2018.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1090379porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2019-03-13T00:26:33Zoai:www.alice.cnptia.embrapa.br:doc/1090379Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542019-03-13T00:26:33falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542019-03-13T00:26:33Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Spatial econometric analysis of the main agricultural commodities produced in Central-West Region, Brazil. |
title |
Spatial econometric analysis of the main agricultural commodities produced in Central-West Region, Brazil. |
spellingShingle |
Spatial econometric analysis of the main agricultural commodities produced in Central-West Region, Brazil. PEGORARE, A. B. Economia agricola Gado de corte Beef cattle Agribusiness |
title_short |
Spatial econometric analysis of the main agricultural commodities produced in Central-West Region, Brazil. |
title_full |
Spatial econometric analysis of the main agricultural commodities produced in Central-West Region, Brazil. |
title_fullStr |
Spatial econometric analysis of the main agricultural commodities produced in Central-West Region, Brazil. |
title_full_unstemmed |
Spatial econometric analysis of the main agricultural commodities produced in Central-West Region, Brazil. |
title_sort |
Spatial econometric analysis of the main agricultural commodities produced in Central-West Region, Brazil. |
author |
PEGORARE, A. B. |
author_facet |
PEGORARE, A. B. MORAES, P. M. de COSTA, R. B. da ABREU, U. G. P. de MENDES, D. R. F. MOREIRA, T. B. S. CUNHA, G. H. de CONSTANTINO, M. |
author_role |
author |
author2 |
MORAES, P. M. de COSTA, R. B. da ABREU, U. G. P. de MENDES, D. R. F. MOREIRA, T. B. S. CUNHA, G. H. de CONSTANTINO, M. |
author2_role |
author author author author author author author |
dc.contributor.none.fl_str_mv |
ALEXANDER 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). |
dc.contributor.author.fl_str_mv |
PEGORARE, A. B. MORAES, P. M. de COSTA, R. B. da ABREU, U. G. P. de MENDES, D. R. F. MOREIRA, T. B. S. CUNHA, G. H. de CONSTANTINO, M. |
dc.subject.por.fl_str_mv |
Economia agricola Gado de corte Beef cattle Agribusiness |
topic |
Economia agricola Gado de corte Beef cattle Agribusiness |
description |
The 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. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-04-09 2018 2019-03-13T00:26:27Z 2019-03-13T00:26:27Z 2019-03-13T00:26:27Z |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
African Journal of Agricultural Research, v. 13, n. 4, p. 167-180, jan. 2018. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1090379 |
identifier_str_mv |
African Journal of Agricultural Research, v. 13, n. 4, p. 167-180, jan. 2018. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1090379 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
_version_ |
1794503472638328832 |