Spacial distribution of soybean productivity in state Rio Grande do Sul: an exploratory study
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Acta Scientiarum. Human and Social Sciences (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/33652 |
Resumo: | Crops depend on natural resources concentrated in the geographic space, which reinforces the idea that production occurs in clusters throughout the economic space. Given the importance of the soybean crop, especially for the State of Rio Grande do Sul, as well as the importance of studies that address the location pattern of agricultural production, the objective of the present study is to analyze the spatial distribution of the soybean productivity in the municipalities of the state of Rio Grande do Sul in the period between 1995 and 2013. Thus, the Exploratory Analysis of Spatial Data was used as a methodological basis. The main results show that, between 1990 and 2013, the highest average yields were located in the North region of the state, except for the year of 2005, when that was observed in the South region. The cluster maps confirm that result and, along with Moran’s I statistics, point to the existence of positive spatial autocorrelation among Rio Grande do Sul’s municipalities. |
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Spacial distribution of soybean productivity in state Rio Grande do Sul: an exploratory studyDistribuição espacial da produtividade da soja no Rio Grande do Sul: um estudo exploratórioagricultural productionspatial autocorrelationclustersprodução agrícolaautocorrelação espacialclusters.Economia RegionalCrops depend on natural resources concentrated in the geographic space, which reinforces the idea that production occurs in clusters throughout the economic space. Given the importance of the soybean crop, especially for the State of Rio Grande do Sul, as well as the importance of studies that address the location pattern of agricultural production, the objective of the present study is to analyze the spatial distribution of the soybean productivity in the municipalities of the state of Rio Grande do Sul in the period between 1995 and 2013. Thus, the Exploratory Analysis of Spatial Data was used as a methodological basis. The main results show that, between 1990 and 2013, the highest average yields were located in the North region of the state, except for the year of 2005, when that was observed in the South region. The cluster maps confirm that result and, along with Moran’s I statistics, point to the existence of positive spatial autocorrelation among Rio Grande do Sul’s municipalities.As culturas agrícolas dependem de recursos naturais concentrados no espaço geográfico, o que reforça a ideia de que a produção ocorre na forma de agrupamentos (clusters), espalhados pelo espaço econômico. Dada a relevância da cultura da soja, especialmente para o Estado do Rio Grande do Sul, assim como a importância de estudos que tratem do padrão de localização da produção agrícola, o presente trabalho teve por objetivo analisar a disposição espacial da produtividade da soja nos municípios do Rio Grande do Sul no período entre 1990 e 2013. Utilizou-se como instrumental metodológico a Análise Exploratória de Dados Espaciais (AEDE). Os principais resultados demonstram que, entre 1990 e 2013, as maiores produtividades médias se encontravam nos municípios da região Norte do estado, com exceção do ano de 2005, enquanto os municípios com maior produtividade se localizavam na região Sul. A análise dos mapas de clusters confirma tal resultado e, juntamente da estatística I de Moran, demonstra a existência de autocorrelação espacial positiva entre os municípios do Rio Grande do Sul. Universidade Estadual De Maringá2018-09-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/3365210.4025/actascihumansoc.v40i2.33652Acta Scientiarum. Human and Social Sciences; Vol 40 No 2 (2018); e33652Acta Scientiarum. Human and Social Sciences; v. 40 n. 2 (2018); e336521807-86561679-7361reponame:Acta Scientiarum. Human and Social Sciences (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporhttp://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/33652/pdfCopyright (c) 2018 Acta Scientiarum. Human and Social Scienceshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessVidigal, Vinícius GonçalvesVidigal, Cláudia Bueno RochaParré, José Luiz2018-09-20T09:04:14Zoai:periodicos.uem.br/ojs:article/33652Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/indexPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/oai||actahuman@uem.br1807-86561679-7361opendoar:2018-09-20T09:04:14Acta Scientiarum. Human and Social Sciences (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Spacial distribution of soybean productivity in state Rio Grande do Sul: an exploratory study Distribuição espacial da produtividade da soja no Rio Grande do Sul: um estudo exploratório |
title |
Spacial distribution of soybean productivity in state Rio Grande do Sul: an exploratory study |
spellingShingle |
Spacial distribution of soybean productivity in state Rio Grande do Sul: an exploratory study Vidigal, Vinícius Gonçalves agricultural production spatial autocorrelation clusters produção agrícola autocorrelação espacial clusters. Economia Regional |
title_short |
Spacial distribution of soybean productivity in state Rio Grande do Sul: an exploratory study |
title_full |
Spacial distribution of soybean productivity in state Rio Grande do Sul: an exploratory study |
title_fullStr |
Spacial distribution of soybean productivity in state Rio Grande do Sul: an exploratory study |
title_full_unstemmed |
Spacial distribution of soybean productivity in state Rio Grande do Sul: an exploratory study |
title_sort |
Spacial distribution of soybean productivity in state Rio Grande do Sul: an exploratory study |
author |
Vidigal, Vinícius Gonçalves |
author_facet |
Vidigal, Vinícius Gonçalves Vidigal, Cláudia Bueno Rocha Parré, José Luiz |
author_role |
author |
author2 |
Vidigal, Cláudia Bueno Rocha Parré, José Luiz |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Vidigal, Vinícius Gonçalves Vidigal, Cláudia Bueno Rocha Parré, José Luiz |
dc.subject.por.fl_str_mv |
agricultural production spatial autocorrelation clusters produção agrícola autocorrelação espacial clusters. Economia Regional |
topic |
agricultural production spatial autocorrelation clusters produção agrícola autocorrelação espacial clusters. Economia Regional |
description |
Crops depend on natural resources concentrated in the geographic space, which reinforces the idea that production occurs in clusters throughout the economic space. Given the importance of the soybean crop, especially for the State of Rio Grande do Sul, as well as the importance of studies that address the location pattern of agricultural production, the objective of the present study is to analyze the spatial distribution of the soybean productivity in the municipalities of the state of Rio Grande do Sul in the period between 1995 and 2013. Thus, the Exploratory Analysis of Spatial Data was used as a methodological basis. The main results show that, between 1990 and 2013, the highest average yields were located in the North region of the state, except for the year of 2005, when that was observed in the South region. The cluster maps confirm that result and, along with Moran’s I statistics, point to the existence of positive spatial autocorrelation among Rio Grande do Sul’s municipalities. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-09-19 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/33652 10.4025/actascihumansoc.v40i2.33652 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/33652 |
identifier_str_mv |
10.4025/actascihumansoc.v40i2.33652 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciHumanSocSci/article/view/33652/pdf |
dc.rights.driver.fl_str_mv |
Copyright (c) 2018 Acta Scientiarum. Human and Social Sciences https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2018 Acta Scientiarum. Human and Social Sciences https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Human and Social Sciences; Vol 40 No 2 (2018); e33652 Acta Scientiarum. Human and Social Sciences; v. 40 n. 2 (2018); e33652 1807-8656 1679-7361 reponame:Acta Scientiarum. Human and Social Sciences (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta Scientiarum. Human and Social Sciences (Online) |
collection |
Acta Scientiarum. Human and Social Sciences (Online) |
repository.name.fl_str_mv |
Acta Scientiarum. Human and Social Sciences (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
||actahuman@uem.br |
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1799317508966055936 |