Organic agriculture in brazilian microregions

Detalhes bibliográficos
Autor(a) principal: Mateus de Morais Auriglietti, Leonardo
Data de Publicação: 2024
Outros Autores: Paula Junior, Amarildo de, Michellon, Ednaldo
Tipo de documento: Artigo
Idioma: por
Título da fonte: Informe Gepec (Online)
Texto Completo: https://e-revista.unioeste.br/index.php/gepec/article/view/32250
Resumo: This article analyzes the issue of the spatial distribution of properties with organic agriculture and its conditioning factors. The data used are from the Agricultural Census for the year 2017 at the micro-regional level and the methodological approach used is spatial in nature, namely global and local spatial regressions. The results show that access to technical guidance positively influences the level of properties with organic agriculture, while mechanization has the opposite effect. This is due to the range of information available to the producer and the lower level of demand for machines in this type of production, respectively. On the other hand, factors related to the producer's age, education level and labor force presented particularities regarding the level of properties with organic agriculture.
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spelling Organic agriculture in brazilian microregionsAgricultura orgánica en las microrregiones brasileñasAGRICULTURA ORGÂNICA NAS MICRORREGIÕES BRASILEIRAS/Organic agriculture in Brazilian microregionsmodelo GWRmeio-ambienteeconomia verdemodelo GWRmedio ambienteeconomía verdeGreen economyEnvironmentGWR ModelThis article analyzes the issue of the spatial distribution of properties with organic agriculture and its conditioning factors. The data used are from the Agricultural Census for the year 2017 at the micro-regional level and the methodological approach used is spatial in nature, namely global and local spatial regressions. The results show that access to technical guidance positively influences the level of properties with organic agriculture, while mechanization has the opposite effect. This is due to the range of information available to the producer and the lower level of demand for machines in this type of production, respectively. On the other hand, factors related to the producer's age, education level and labor force presented particularities regarding the level of properties with organic agriculture.O presente artigo analisa a questão da distribuição espacial das propriedades com agricultura orgânica e seus fatores condicionantes. Os dados utilizados são do Censo Agropecuário para o ano de 2017 ao nível microrregional e a abordagem metodológica empregada é de cunho espacial, sendo elas, regressões espaciais globais e locais. Os resultados mostram que o acesso à orientação técnica influencia positivamente o nível de propriedades com agricultura orgânica, enquanto a mecanização apresenta efeito inverso. Por outro lado, os fatores relacionados à idade do produtor, nível de escolaridade e mão de obra apresentaram particularidades sobre o nível de propriedades com agricultura orgânica. Abstract: This article analyzes the issue of the spatial distribution of properties with organic agriculture and its conditioning factors. The data used are from the Agricultural Census for the year 2017 at the micro-regional level and the methodological approach used is spatial in nature, namely global and local spatial regressions. The results show that access to technical guidance positively influences the level of properties with organic agriculture, while mechanization has the opposite effect. This is due to the range of information available to the producer and the lower level of demand for machines in this type of production, respectively. On the other hand, factors related to the producer's age, education level and labor force presented particularities regarding the level of properties with organic agriculture.EdUnioeste2024-02-23info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://e-revista.unioeste.br/index.php/gepec/article/view/3225010.48075/igepec.v28i1.32250Informe GEPEC; v. 28 n. 1 (2024): Revista Informe GEPEC; 231-2511679-415X1676-067010.48075/igepec.v28i1reponame:Informe Gepec (Online)instname:Universidade Estadual do Oeste do Paraná (UNIOESTE)instacron:UNIOESTEporhttps://e-revista.unioeste.br/index.php/gepec/article/view/32250/22967Copyright (c) 2024 Informe GEPEChttps://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessMateus de Morais Auriglietti, LeonardoPaula Junior, Amarildo deMichellon, Ednaldo2024-02-23T20:16:58Zoai:ojs.e-revista.unioeste.br:article/32250Revistahttps://e-revista.unioeste.br/index.php/gepecPUBhttps://e-revista.unioeste.br/index.php/gepec/oairevista.gepec@gmail.com1679-415X1676-0670opendoar:2024-02-23T20:16:58Informe Gepec (Online) - Universidade Estadual do Oeste do Paraná (UNIOESTE)false
dc.title.none.fl_str_mv Organic agriculture in brazilian microregions
Agricultura orgánica en las microrregiones brasileñas
AGRICULTURA ORGÂNICA NAS MICRORREGIÕES BRASILEIRAS/Organic agriculture in Brazilian microregions
title Organic agriculture in brazilian microregions
spellingShingle Organic agriculture in brazilian microregions
Mateus de Morais Auriglietti, Leonardo
modelo GWR
meio-ambiente
economia verde
modelo GWR
medio ambiente
economía verde
Green economy
Environment
GWR Model
title_short Organic agriculture in brazilian microregions
title_full Organic agriculture in brazilian microregions
title_fullStr Organic agriculture in brazilian microregions
title_full_unstemmed Organic agriculture in brazilian microregions
title_sort Organic agriculture in brazilian microregions
author Mateus de Morais Auriglietti, Leonardo
author_facet Mateus de Morais Auriglietti, Leonardo
Paula Junior, Amarildo de
Michellon, Ednaldo
author_role author
author2 Paula Junior, Amarildo de
Michellon, Ednaldo
author2_role author
author
dc.contributor.author.fl_str_mv Mateus de Morais Auriglietti, Leonardo
Paula Junior, Amarildo de
Michellon, Ednaldo
dc.subject.por.fl_str_mv modelo GWR
meio-ambiente
economia verde
modelo GWR
medio ambiente
economía verde
Green economy
Environment
GWR Model
topic modelo GWR
meio-ambiente
economia verde
modelo GWR
medio ambiente
economía verde
Green economy
Environment
GWR Model
description This article analyzes the issue of the spatial distribution of properties with organic agriculture and its conditioning factors. The data used are from the Agricultural Census for the year 2017 at the micro-regional level and the methodological approach used is spatial in nature, namely global and local spatial regressions. The results show that access to technical guidance positively influences the level of properties with organic agriculture, while mechanization has the opposite effect. This is due to the range of information available to the producer and the lower level of demand for machines in this type of production, respectively. On the other hand, factors related to the producer's age, education level and labor force presented particularities regarding the level of properties with organic agriculture.
publishDate 2024
dc.date.none.fl_str_mv 2024-02-23
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 https://e-revista.unioeste.br/index.php/gepec/article/view/32250
10.48075/igepec.v28i1.32250
url https://e-revista.unioeste.br/index.php/gepec/article/view/32250
identifier_str_mv 10.48075/igepec.v28i1.32250
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://e-revista.unioeste.br/index.php/gepec/article/view/32250/22967
dc.rights.driver.fl_str_mv Copyright (c) 2024 Informe GEPEC
https://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 Informe GEPEC
https://creativecommons.org/licenses/by-nc-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv EdUnioeste
publisher.none.fl_str_mv EdUnioeste
dc.source.none.fl_str_mv Informe GEPEC; v. 28 n. 1 (2024): Revista Informe GEPEC; 231-251
1679-415X
1676-0670
10.48075/igepec.v28i1
reponame:Informe Gepec (Online)
instname:Universidade Estadual do Oeste do Paraná (UNIOESTE)
instacron:UNIOESTE
instname_str Universidade Estadual do Oeste do Paraná (UNIOESTE)
instacron_str UNIOESTE
institution UNIOESTE
reponame_str Informe Gepec (Online)
collection Informe Gepec (Online)
repository.name.fl_str_mv Informe Gepec (Online) - Universidade Estadual do Oeste do Paraná (UNIOESTE)
repository.mail.fl_str_mv revista.gepec@gmail.com
_version_ 1796797392390979584

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