Competitiveness of family agriculture in the South of Brazil
Autor(a) principal: | |
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Data de Publicação: | 2022 |
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Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | DRd - Desenvolvimento Regional em debate |
Texto Completo: | http://www.periodicos.unc.br/index.php/drd/article/view/3820 |
Resumo: | Given the promotion of family farming in the enactment of economic growth and sustainable rural development, it is essential to verify how many there are; who are; and where are the municipalities in the South region with the worst levels of competitive performance of family farming. In view of the above, this study proposes to analyze the competitive performance of family farming in the southern region of Brazil. Specifically, it is intended to relate the determining factors of agricultural research with the value of annual production. To meet these objectives, this study employed, respectively, the methods of factor analysis and multiple regression. The data used came from the 2017 Agricultural Census published by the Brazilian Institute of Geography and Statistics (IBGE). The results revealed an expressive heterogeneity of family farming in the southern municipalities, given that only 1.87% of the municipalities had a very high competitive performance, according to the aggregated parameters. Paradoxically, the municipalities of Paraná have a lower average performance of family farming. In this sense, the municipalities with the worst levels of level are dispersed in the North, Northwest, Metropolitan and Central Eastern Paraná mesoregions. Furthermore, a regression analysis confirms the positive relationship between the annual production value and the impedance factors. Keywords: Competitive Performance. Family farming. South of Brazil. Factor analysis. Multiple Linear Regression. |
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Competitiveness of family agriculture in the South of BrazilCompetitividad de la agricultura familiar en el Sur de BrasilCompetitividade da agricultura familiar no sul brasileiroGiven the promotion of family farming in the enactment of economic growth and sustainable rural development, it is essential to verify how many there are; who are; and where are the municipalities in the South region with the worst levels of competitive performance of family farming. In view of the above, this study proposes to analyze the competitive performance of family farming in the southern region of Brazil. Specifically, it is intended to relate the determining factors of agricultural research with the value of annual production. To meet these objectives, this study employed, respectively, the methods of factor analysis and multiple regression. The data used came from the 2017 Agricultural Census published by the Brazilian Institute of Geography and Statistics (IBGE). The results revealed an expressive heterogeneity of family farming in the southern municipalities, given that only 1.87% of the municipalities had a very high competitive performance, according to the aggregated parameters. Paradoxically, the municipalities of Paraná have a lower average performance of family farming. In this sense, the municipalities with the worst levels of level are dispersed in the North, Northwest, Metropolitan and Central Eastern Paraná mesoregions. Furthermore, a regression analysis confirms the positive relationship between the annual production value and the impedance factors. Keywords: Competitive Performance. Family farming. South of Brazil. Factor analysis. Multiple Linear Regression.Dada la relevancia de la agricultura familiar en la promulgación del crecimiento económico y el desarrollo rural sostenible, es fundamental verificar cuántos son; quienes son; y dónde se encuentran los municipios de la región Sur con peores niveles de desempeño competitivo de la agricultura familiar. Por lo anterior, este estudio tiene como objetivo analizar el desempeño competitivo de la agricultura familiar en la región sur de Brasil. En concreto, se pretende relacionar los determinantes de la competitividad agrícola con el valor de la producción anual. Para cumplir estos objetivos, este estudio utilizó, respectivamente, los métodos de análisis factorial y regresión múltiple. Los datos utilizados provienen del Censo Agropecuario de 2017 publicado por el Instituto Brasileño de Geografía y Estadística (IBGE). Los resultados revelaron una expresiva heterogeneidad en la competitividad de la agricultura familiar en los municipios del sur, dado que solo el 1,87% de los municipios tuvo un desempeño competitivo muy alto, según los parámetros establecidos. Paradójicamente, los municipios de Paraná tienen un desempeño promedio más bajo de la agricultura familiar. En este sentido, los municipios con peores niveles de competitividad se encuentran dispersos en las regiones Norte, Noroeste, Metropolitana y Centro Este de Paraná. Además, el análisis de regresión confirmó una relación positiva entre el valor de la producción anual y los factores de competitividad analizados. Palavras clave: Desempeño competitivo. Agricultura familiar. Sur de Brasil. Análisis factorial. Regresión múltiple.Em face da relevância da agricultura familiar na promoção do crescimento econômico e desenvolvimento rural sustentável, torna-se imprescindível verificar quantos são; quem são; e onde estão os municípios sulistas com piores níveis de desempenho competitivo da agricultura familiar. Em razão do exposto, este estudo se propõe analisar o desempenho competitivo da agricultura familiar na região Sul brasileira. Especificamente, pretende-se relacionar os fatores determinantes da competitividade agrícola com o valor da produção anual. Para atender a tais objetivos, este estudo empregou, respectivamente, os métodos de análise fatorial e regressão múltipla. Os dados utilizados foram provenientes do Censo Agropecuário de 2017 publicado pelo Instituto Brasileiro de Geografia e Estatística (IBGE). Os resultados revelaram expressiva heterogeneidade da competitividade da agricultura familiar sulista, dado que apenas 1,87% dos municípios ensejaram desempenho competitivo muito alto, de acordo com os parâmetros estabelecidos. Paradoxalmente, os municípios paranaenses apresentam menor desempenho médio da agricultura familiar. Nesse sentido, os municípios com piores níveis de competitividade estão dispersos nas mesorregiões Norte, Noroeste, Metropolitana e Centro Oriental Paranaense. Ademais, a análise de regressão confirmou relação positiva entre o valor da produção anual e os fatores de competitividade analisados. Palavras-chave: Desempenho Competitivo. Agricultura Familiar. Sul brasileiro. Análise Fatorial. Regressão Múltipla final.Universidade do Contestado (UnC)2022-02-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.unc.br/index.php/drd/article/view/382010.24302/drd.v12ied.esp.Dossie.3820DRd - Desenvolvimento Regional em debate; v. 12 n. ed.esp.Dossie (2022): Dossiê : Agricultura familiar e desenvolvimento regional no Sul do Brasil: análises a partir dos dados do Censo Agropecuário 2017; 191-2162237-902910.24302/drd.v12ied.esp.Dossiereponame:DRd - Desenvolvimento Regional em debateinstname:Universidade do Contestado (UNC)instacron:UNCporhttp://www.periodicos.unc.br/index.php/drd/article/view/3820/1707Copyright (c) 2022 DRd - Desenvolvimento Regional em debatehttps://creativecommons.org/licenses/by-nd/4.0info:eu-repo/semantics/openAccessMoura, José Ediglê AlcantaraCampos, Kilmer Coelho2022-02-12T03:26:03Zoai:ojs.pkp.sfu.ca:article/3820Revistahttp://www.periodicos.unc.br/index.php/drdONGhttp://www.periodicos.unc.br/index.php/drd/oaidaniela@unc.br || revistadrd@unc.br || alexandre@unc.br || josiane@unc.br || valdir@unc.br2237-90292237-9029opendoar:2022-02-12T03:26:03DRd - Desenvolvimento Regional em debate - Universidade do Contestado (UNC)false |
dc.title.none.fl_str_mv |
Competitiveness of family agriculture in the South of Brazil Competitividad de la agricultura familiar en el Sur de Brasil Competitividade da agricultura familiar no sul brasileiro |
title |
Competitiveness of family agriculture in the South of Brazil |
spellingShingle |
Competitiveness of family agriculture in the South of Brazil Moura, José Ediglê Alcantara |
title_short |
Competitiveness of family agriculture in the South of Brazil |
title_full |
Competitiveness of family agriculture in the South of Brazil |
title_fullStr |
Competitiveness of family agriculture in the South of Brazil |
title_full_unstemmed |
Competitiveness of family agriculture in the South of Brazil |
title_sort |
Competitiveness of family agriculture in the South of Brazil |
author |
Moura, José Ediglê Alcantara |
author_facet |
Moura, José Ediglê Alcantara Campos, Kilmer Coelho |
author_role |
author |
author2 |
Campos, Kilmer Coelho |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Moura, José Ediglê Alcantara Campos, Kilmer Coelho |
description |
Given the promotion of family farming in the enactment of economic growth and sustainable rural development, it is essential to verify how many there are; who are; and where are the municipalities in the South region with the worst levels of competitive performance of family farming. In view of the above, this study proposes to analyze the competitive performance of family farming in the southern region of Brazil. Specifically, it is intended to relate the determining factors of agricultural research with the value of annual production. To meet these objectives, this study employed, respectively, the methods of factor analysis and multiple regression. The data used came from the 2017 Agricultural Census published by the Brazilian Institute of Geography and Statistics (IBGE). The results revealed an expressive heterogeneity of family farming in the southern municipalities, given that only 1.87% of the municipalities had a very high competitive performance, according to the aggregated parameters. Paradoxically, the municipalities of Paraná have a lower average performance of family farming. In this sense, the municipalities with the worst levels of level are dispersed in the North, Northwest, Metropolitan and Central Eastern Paraná mesoregions. Furthermore, a regression analysis confirms the positive relationship between the annual production value and the impedance factors. Keywords: Competitive Performance. Family farming. South of Brazil. Factor analysis. Multiple Linear Regression. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-02-11 |
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.unc.br/index.php/drd/article/view/3820 10.24302/drd.v12ied.esp.Dossie.3820 |
url |
http://www.periodicos.unc.br/index.php/drd/article/view/3820 |
identifier_str_mv |
10.24302/drd.v12ied.esp.Dossie.3820 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
http://www.periodicos.unc.br/index.php/drd/article/view/3820/1707 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 DRd - Desenvolvimento Regional em debate https://creativecommons.org/licenses/by-nd/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 DRd - Desenvolvimento Regional em debate https://creativecommons.org/licenses/by-nd/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade do Contestado (UnC) |
publisher.none.fl_str_mv |
Universidade do Contestado (UnC) |
dc.source.none.fl_str_mv |
DRd - Desenvolvimento Regional em debate; v. 12 n. ed.esp.Dossie (2022): Dossiê : Agricultura familiar e desenvolvimento regional no Sul do Brasil: análises a partir dos dados do Censo Agropecuário 2017; 191-216 2237-9029 10.24302/drd.v12ied.esp.Dossie reponame:DRd - Desenvolvimento Regional em debate instname:Universidade do Contestado (UNC) instacron:UNC |
instname_str |
Universidade do Contestado (UNC) |
instacron_str |
UNC |
institution |
UNC |
reponame_str |
DRd - Desenvolvimento Regional em debate |
collection |
DRd - Desenvolvimento Regional em debate |
repository.name.fl_str_mv |
DRd - Desenvolvimento Regional em debate - Universidade do Contestado (UNC) |
repository.mail.fl_str_mv |
daniela@unc.br || revistadrd@unc.br || alexandre@unc.br || josiane@unc.br || valdir@unc.br |
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1797231530513268736 |