Spatial distribution of microregions specialized in milk production

Detalhes bibliográficos
Autor(a) principal: Telles, Tiago Santos
Data de Publicação: 2017
Outros Autores: Bacchi, Matheus Demambre, Shimizu, Jaime
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Semina. Ciências Agrárias (Online)
Texto Completo: https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/25656
Resumo: The aim of this study was to verify and characterizes the spatial distribution of the microregions specialized in bovine milk production in Paraná State, Brazil, using data from the Municipal Livestock Survey conducted by the Brazilian Institute of Geography and Statistics and the Central Bank of Brazil’s National Program to Strengthen Household Agriculture (PRONAF), from 2000 to 2012. Methodologically, we carry out location quotient (LQ), principal component, (PCA) and cluster analyses. Based on the results of the LQ, of the 39 microregions in Paraná State analyzed, 13 are identified as specializing in milk production. In particular, the West and Southwest mesoregions as well as the microregion of Ponta Grossa, in relative terms, account for 58% of the milk produced in the study period. Additionally, based on the PCA, 2 principal components are found to explain 91.5% of the variability in the data, termed technically enhanced production and household production. Finally, by using cluster analysis, five groups are identified among the microregions specializing in milk production, thus indicating marked heterogeneity across the state. This situation requires the expansion of public policies that mitigate regional disparities and provide the state with production gains from milk farming.
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spelling Spatial distribution of microregions specialized in milk productionDistribuição espacial de microrregiões especializadas na produção de leiteAnimal productionDairy cattleRegional developmentState of ParanáBrazil.Produção animalBovinocultura de leiteDesenvolvimento regionalParanáBrasil.The aim of this study was to verify and characterizes the spatial distribution of the microregions specialized in bovine milk production in Paraná State, Brazil, using data from the Municipal Livestock Survey conducted by the Brazilian Institute of Geography and Statistics and the Central Bank of Brazil’s National Program to Strengthen Household Agriculture (PRONAF), from 2000 to 2012. Methodologically, we carry out location quotient (LQ), principal component, (PCA) and cluster analyses. Based on the results of the LQ, of the 39 microregions in Paraná State analyzed, 13 are identified as specializing in milk production. In particular, the West and Southwest mesoregions as well as the microregion of Ponta Grossa, in relative terms, account for 58% of the milk produced in the study period. Additionally, based on the PCA, 2 principal components are found to explain 91.5% of the variability in the data, termed technically enhanced production and household production. Finally, by using cluster analysis, five groups are identified among the microregions specializing in milk production, thus indicating marked heterogeneity across the state. This situation requires the expansion of public policies that mitigate regional disparities and provide the state with production gains from milk farming.O objetivo deste estudo foi verificar e caracterizar a distribuição espacial das microrregiões paranaenses especializadas na produção de leite bovino. Para tanto foram utilizados dados da Pesquisa Pecuária Municipal do Instituto Brasileiro de Geografia e Estatística e do Programa Nacional de Fortalecimento da Agricultura Familiar, do Banco Central do Brasil, referentes aos anos de 2000 a 2012. Foram realizadas análises do quociente locacional (QL), de componentes principais (ACP) e de agrupamentos. A partir dos resultados do QL foram identificadas 13 microrregiões paranaenses especializadas na produção de leite dentre as 39 existentes. Além disso, constatou-se que as mesorregiões oeste e sudoeste e a microrregião de Ponta Grossa, em termos relativos, responderam por 58% do valor bruto da produção do leite no período analisado. Ademais, a partir da ACP, foram identificados 2 componentes principais, suficientes para explicar 91,5% da variabilidade dos dados, sendo nominados de produção tecnificada e produção familiar. Entre as microrregiões especializadas na produção de leite, por meio da análise de agrupamentos, foram identificados 5 grupos, indicando uma acentuada heterogeneidade no estado. A conjuntura que se apresenta requer a formulação de políticas públicas que amenizem as disparidades regionais e que possam proporcionar ao estado ganhos de produção na atividade leiteira.UEL2017-03-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPesquisa quantitativa e qualitativaapplication/pdfhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/2565610.5433/1679-0359.2017v38n1p443Semina: Ciências Agrárias; Vol. 38 No. 1 (2017); 443-454Semina: Ciências Agrárias; v. 38 n. 1 (2017); 443-4541679-03591676-546Xreponame:Semina. Ciências Agrárias (Online)instname:Universidade Estadual de Londrina (UEL)instacron:UELenghttps://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/25656/20571Copyright (c) 2017 Semina: Ciências Agráriashttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessTelles, Tiago SantosBacchi, Matheus DemambreShimizu, Jaime2022-11-29T14:53:48Zoai:ojs.pkp.sfu.ca:article/25656Revistahttp://www.uel.br/revistas/uel/index.php/semagrariasPUBhttps://ojs.uel.br/revistas/uel/index.php/semagrarias/oaisemina.agrarias@uel.br1679-03591676-546Xopendoar:2022-11-29T14:53:48Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)false
dc.title.none.fl_str_mv Spatial distribution of microregions specialized in milk production
Distribuição espacial de microrregiões especializadas na produção de leite
title Spatial distribution of microregions specialized in milk production
spellingShingle Spatial distribution of microregions specialized in milk production
Telles, Tiago Santos
Animal production
Dairy cattle
Regional development
State of Paraná
Brazil.
Produção animal
Bovinocultura de leite
Desenvolvimento regional
Paraná
Brasil.
title_short Spatial distribution of microregions specialized in milk production
title_full Spatial distribution of microregions specialized in milk production
title_fullStr Spatial distribution of microregions specialized in milk production
title_full_unstemmed Spatial distribution of microregions specialized in milk production
title_sort Spatial distribution of microregions specialized in milk production
author Telles, Tiago Santos
author_facet Telles, Tiago Santos
Bacchi, Matheus Demambre
Shimizu, Jaime
author_role author
author2 Bacchi, Matheus Demambre
Shimizu, Jaime
author2_role author
author
dc.contributor.author.fl_str_mv Telles, Tiago Santos
Bacchi, Matheus Demambre
Shimizu, Jaime
dc.subject.por.fl_str_mv Animal production
Dairy cattle
Regional development
State of Paraná
Brazil.
Produção animal
Bovinocultura de leite
Desenvolvimento regional
Paraná
Brasil.
topic Animal production
Dairy cattle
Regional development
State of Paraná
Brazil.
Produção animal
Bovinocultura de leite
Desenvolvimento regional
Paraná
Brasil.
description The aim of this study was to verify and characterizes the spatial distribution of the microregions specialized in bovine milk production in Paraná State, Brazil, using data from the Municipal Livestock Survey conducted by the Brazilian Institute of Geography and Statistics and the Central Bank of Brazil’s National Program to Strengthen Household Agriculture (PRONAF), from 2000 to 2012. Methodologically, we carry out location quotient (LQ), principal component, (PCA) and cluster analyses. Based on the results of the LQ, of the 39 microregions in Paraná State analyzed, 13 are identified as specializing in milk production. In particular, the West and Southwest mesoregions as well as the microregion of Ponta Grossa, in relative terms, account for 58% of the milk produced in the study period. Additionally, based on the PCA, 2 principal components are found to explain 91.5% of the variability in the data, termed technically enhanced production and household production. Finally, by using cluster analysis, five groups are identified among the microregions specializing in milk production, thus indicating marked heterogeneity across the state. This situation requires the expansion of public policies that mitigate regional disparities and provide the state with production gains from milk farming.
publishDate 2017
dc.date.none.fl_str_mv 2017-03-02
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Pesquisa quantitativa e qualitativa
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/25656
10.5433/1679-0359.2017v38n1p443
url https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/25656
identifier_str_mv 10.5433/1679-0359.2017v38n1p443
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://ojs.uel.br/revistas/uel/index.php/semagrarias/article/view/25656/20571
dc.rights.driver.fl_str_mv Copyright (c) 2017 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2017 Semina: Ciências Agrárias
http://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UEL
publisher.none.fl_str_mv UEL
dc.source.none.fl_str_mv Semina: Ciências Agrárias; Vol. 38 No. 1 (2017); 443-454
Semina: Ciências Agrárias; v. 38 n. 1 (2017); 443-454
1679-0359
1676-546X
reponame:Semina. Ciências Agrárias (Online)
instname:Universidade Estadual de Londrina (UEL)
instacron:UEL
instname_str Universidade Estadual de Londrina (UEL)
instacron_str UEL
institution UEL
reponame_str Semina. Ciências Agrárias (Online)
collection Semina. Ciências Agrárias (Online)
repository.name.fl_str_mv Semina. Ciências Agrárias (Online) - Universidade Estadual de Londrina (UEL)
repository.mail.fl_str_mv semina.agrarias@uel.br
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