Modernization patterns in Brazilian agriculture in 2006
Autor(a) principal: | |
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Data de Publicação: | 2021 |
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Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Economia Aplicada |
Texto Completo: | https://www.revistas.usp.br/ecoa/article/view/160541 |
Resumo: | This work established 9 clusters of Brazilian municipalities based on 30 indicators of agricultural modernization and classified them according to their productive conditions. Results indicated strong heterogeneity in rural areas. More than half of agricultural establishments fall into the three most vulnerable clusters, with poor productive conditions. They are concentrated in the North and Northeast and represent only 25% of agricultural GDP. On the other hand, the three most modern clusters represent 19% of establishments, 12% of arable area and 22% of rural employment, but represent 32% of agricultural GDP and are concentrated in the South and Southeast. |
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Economia Aplicada |
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Modernization patterns in Brazilian agriculture in 2006Padrões de modernização na agropecuária brasileira em 2006cluster analysisheterogeneityagricultureanálise de clustersheterogeneidadeagropecuáriaThis work established 9 clusters of Brazilian municipalities based on 30 indicators of agricultural modernization and classified them according to their productive conditions. Results indicated strong heterogeneity in rural areas. More than half of agricultural establishments fall into the three most vulnerable clusters, with poor productive conditions. They are concentrated in the North and Northeast and represent only 25% of agricultural GDP. On the other hand, the three most modern clusters represent 19% of establishments, 12% of arable area and 22% of rural employment, but represent 32% of agricultural GDP and are concentrated in the South and Southeast.Este trabalho estabeleceu 9 clusters de municípios brasileiros com base em 30 indicadores de modernização agropecuária e os classificou de acordo com suas condições produtivas. Os resultados indicam forte heterogeneidade no meio rural. Mais da metade dos estabelecimentos agropecuários se enquadra nos três clusters mais vulneráveis, com condições produtivas precárias. Eles se concentram nas regiões Norte e Nordeste e representam apenas 25% do PIB agropecuário. Por outro lado, os três clusters mais modernos representam 19% dos estabelecimentos, 12% da área utilizável e 22% do emprego rural, mas representam 32% do PIB agropecuário e se concentram nas regiões Sul e Sudeste.Universidade de São Paulo, FEA-RP/USP2021-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.revistas.usp.br/ecoa/article/view/16054110.11606/1980-5330/ea160541Economia Aplicada; Vol. 25 No. 1 (2021); 33-64Economia Aplicada; Vol. 25 Núm. 1 (2021); 33-64Economia Aplicada; v. 25 n. 1 (2021); 33-641980-53301413-8050reponame:Economia Aplicadainstname:Universidade de São Paulo (USP)instacron:USPporhttps://www.revistas.usp.br/ecoa/article/view/160541/170789Copyright (c) 2021 Economia Aplicadahttp://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessSilva, Rodrigo Peixoto daVian, Carlos Eduardo de Freitas2022-05-12T15:58:48Zoai:revistas.usp.br:article/160541Revistahttps://www.revistas.usp.br/ecoaPUBhttps://www.revistas.usp.br/ecoa/oai||revecap@usp.br1980-53301413-8050opendoar:2023-09-13T12:17:14.065758Economia Aplicada - Universidade de São Paulo (USP)false |
dc.title.none.fl_str_mv |
Modernization patterns in Brazilian agriculture in 2006 Padrões de modernização na agropecuária brasileira em 2006 |
title |
Modernization patterns in Brazilian agriculture in 2006 |
spellingShingle |
Modernization patterns in Brazilian agriculture in 2006 Silva, Rodrigo Peixoto da cluster analysis heterogeneity agriculture análise de clusters heterogeneidade agropecuária |
title_short |
Modernization patterns in Brazilian agriculture in 2006 |
title_full |
Modernization patterns in Brazilian agriculture in 2006 |
title_fullStr |
Modernization patterns in Brazilian agriculture in 2006 |
title_full_unstemmed |
Modernization patterns in Brazilian agriculture in 2006 |
title_sort |
Modernization patterns in Brazilian agriculture in 2006 |
author |
Silva, Rodrigo Peixoto da |
author_facet |
Silva, Rodrigo Peixoto da Vian, Carlos Eduardo de Freitas |
author_role |
author |
author2 |
Vian, Carlos Eduardo de Freitas |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Silva, Rodrigo Peixoto da Vian, Carlos Eduardo de Freitas |
dc.subject.por.fl_str_mv |
cluster analysis heterogeneity agriculture análise de clusters heterogeneidade agropecuária |
topic |
cluster analysis heterogeneity agriculture análise de clusters heterogeneidade agropecuária |
description |
This work established 9 clusters of Brazilian municipalities based on 30 indicators of agricultural modernization and classified them according to their productive conditions. Results indicated strong heterogeneity in rural areas. More than half of agricultural establishments fall into the three most vulnerable clusters, with poor productive conditions. They are concentrated in the North and Northeast and represent only 25% of agricultural GDP. On the other hand, the three most modern clusters represent 19% of establishments, 12% of arable area and 22% of rural employment, but represent 32% of agricultural GDP and are concentrated in the South and Southeast. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-03-01 |
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://www.revistas.usp.br/ecoa/article/view/160541 10.11606/1980-5330/ea160541 |
url |
https://www.revistas.usp.br/ecoa/article/view/160541 |
identifier_str_mv |
10.11606/1980-5330/ea160541 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://www.revistas.usp.br/ecoa/article/view/160541/170789 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2021 Economia Aplicada http://creativecommons.org/licenses/by-nc/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2021 Economia Aplicada 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 |
Universidade de São Paulo, FEA-RP/USP |
publisher.none.fl_str_mv |
Universidade de São Paulo, FEA-RP/USP |
dc.source.none.fl_str_mv |
Economia Aplicada; Vol. 25 No. 1 (2021); 33-64 Economia Aplicada; Vol. 25 Núm. 1 (2021); 33-64 Economia Aplicada; v. 25 n. 1 (2021); 33-64 1980-5330 1413-8050 reponame:Economia Aplicada instname:Universidade de São Paulo (USP) instacron:USP |
instname_str |
Universidade de São Paulo (USP) |
instacron_str |
USP |
institution |
USP |
reponame_str |
Economia Aplicada |
collection |
Economia Aplicada |
repository.name.fl_str_mv |
Economia Aplicada - Universidade de São Paulo (USP) |
repository.mail.fl_str_mv |
||revecap@usp.br |
_version_ |
1800221695978504192 |