Multidimensionality of Rural Development in the municipalities of Ceará

Detalhes bibliográficos
Autor(a) principal: Bezerra, Filomena Nádia Rodrigues
Data de Publicação: 2022
Outros Autores: Lima, Filipe Augusto Xavier
Tipo de documento: Artigo
Idioma: por
Título da fonte: Revista Cerrados (Montes Claros. Online)
Texto Completo: https://www.periodicos.unimontes.br/index.php/cerrados/article/view/4156
Resumo: This article intends to measure rural development in the municipalities of Ceará, through the creation of a Rural Development Index (IDRURAL), identifying its main conditioning factors. To this end, 29 indicators were selected that contemplate different dimensions of rural development. The methodological procedures used were: Factor Analysis for the construction of IDRURAL and the cluster analysis was used to identify the similarities between the municipalities of Ceará, in terms of the level of rural development. The analysis of the main components showed that the indicators related to education, income, labor, housing conditions, soil conservation practices, access to electricity and rural credit, as well as other variables analyzed, better explain the level of rural development in Ceará. The results showed that only 25 municipalities in Ceará (13.59%) had high levels of rural development. The intermediate IDRURAL cluster, on the other hand, contains the largest number of municipalities, equivalent to a total of 81 (44.02%). The cluster with low IDRURAL corresponds to a total of 78 (42.39%) municipalities cearenses.
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spelling Multidimensionality of Rural Development in the municipalities of Ceará Multidimensionalidad del desarrollo rural en los municipios de CearáMultidimensionalidade do Desenvolvimento Rural nos municípios do Ceará Ruralidade. Desenvolvimento Rural. Análise Fatorial. Clusters. Rural Development. Factor analysis. Clusters.Ruralidad. Desarrollo Rural. Análisis factorial. Clusters.This article intends to measure rural development in the municipalities of Ceará, through the creation of a Rural Development Index (IDRURAL), identifying its main conditioning factors. To this end, 29 indicators were selected that contemplate different dimensions of rural development. The methodological procedures used were: Factor Analysis for the construction of IDRURAL and the cluster analysis was used to identify the similarities between the municipalities of Ceará, in terms of the level of rural development. The analysis of the main components showed that the indicators related to education, income, labor, housing conditions, soil conservation practices, access to electricity and rural credit, as well as other variables analyzed, better explain the level of rural development in Ceará. The results showed that only 25 municipalities in Ceará (13.59%) had high levels of rural development. The intermediate IDRURAL cluster, on the other hand, contains the largest number of municipalities, equivalent to a total of 81 (44.02%). The cluster with low IDRURAL corresponds to a total of 78 (42.39%) municipalities cearenses.Este artículo pretende medir el desarrollo rural en los municipios de Ceará, mediante la creación de un Índice de Desarrollo Rural (IDRURAL), identificando sus principales condicionantes. Para ello, se seleccionaron 29 indicadores que contemplan diferentes dimensiones del desarrollo rural. Los procedimientos metodológicos utilizados fueron: Análisis Factorial para la construcción de IDRURAL y el análisis de conglomerados (clusters) para identificar las similitudes entre los municipios de Ceará, en cuanto al nivel de desarrollo rural. El análisis de los principales componentes mostró que los indicadores relacionados con educación, ingresos, trabajo, condiciones de la vivienda, prácticas de conservación del suelo, acceso a electricidad y crédito rural, así como otras variables analizadas, explican mejor el nivel de desarrollo rural en Ceará. Los resultados mostraron que solo 25 municipios de Ceará (13,59%) tenían altos niveles de desarrollo rural. El cluster intermedio IDRURAL, en cambio, contiene el mayor número de municipios, equivalente a un total de 81 (44,02%). El conglomerado (cluster) con bajo IDRURAL corresponde a un total de 78 (42,39%) municipios de Ceará.O presente artigo pretende mensurar o desenvolvimento rural nos municípios do Ceará, por meio da elaboração de um Índice de Desenvolvimento Rural (IDRURAL), identificando os seus principais fatores condicionantes. Para tanto, foram selecionados 29 indicadores que contemplam diferentes dimensões do desenvolvimento rural. Os procedimentos metodológicos utilizados foram: a Análise Fatorial para a construção do IDRURAL e a análise de agrupamentos (clusters) para identificar as similaridades entre os municípios cearenses, quanto ao nível de desenvolvimento rural. A análise dos componentes principais mostrou que os indicadores relacionados à educação, renda, mão de obra, condições de habitação, práticas de conservação do solo, acesso à energia elétrica e ao crédito rural, bem como outras variáveis analisadas, explicam melhor os níveis de desenvolvimento rural cearense. Os resultados mostraram que apenas 25 municípios do Ceará (13,59%) apresentaram altos níveis de desenvolvimento rural. Já o cluster com IDRURAL intermediário contém o maior número de municípios, equivalente ao total de 81 (44,02%). O cluster com IDRURAL baixo corresponde a um total de 78 (42,39%) municípios cearenses.Editora Unimontes2022-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArtigoapplication/pdfhttps://www.periodicos.unimontes.br/index.php/cerrados/article/view/415610.46551/rc24482692202207Revista Cerrados; v. 20 n. 01 (2022): Revista Cerrados ; 149-1862448-26921678-834610.46551/rc244826922022v20n1reponame:Revista Cerrados (Montes Claros. Online)instname:Universidade Estadual de Montes Claros (UNIMONTES)instacron:UNIMONTESporhttps://www.periodicos.unimontes.br/index.php/cerrados/article/view/4156/5096https://www.periodicos.unimontes.br/index.php/cerrados/article/view/4156/6361Copyright (c) 2022 Revista Cerradoshttps://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessBezerra, Filomena Nádia RodriguesLima, Filipe Augusto Xavier2023-04-19T14:12:43Zoai:ojs2.periodicos.unimontes.br:article/4156Revistahttps://www.periodicos.unimontes.br/index.php/cerradosPUBhttps://www.periodicos.unimontes.br/index.php/cerrados/oairevista.cerrados@unimontes.br||portal.periodicos@unimontes.br.2448-26921678-8346opendoar:2023-04-19T14:12:43Revista Cerrados (Montes Claros. Online) - Universidade Estadual de Montes Claros (UNIMONTES)false
dc.title.none.fl_str_mv Multidimensionality of Rural Development in the municipalities of Ceará
Multidimensionalidad del desarrollo rural en los municipios de Ceará
Multidimensionalidade do Desenvolvimento Rural nos municípios do Ceará
title Multidimensionality of Rural Development in the municipalities of Ceará
spellingShingle Multidimensionality of Rural Development in the municipalities of Ceará
Bezerra, Filomena Nádia Rodrigues
Ruralidade. Desenvolvimento Rural. Análise Fatorial. Clusters.
Rural Development. Factor analysis. Clusters.
Ruralidad. Desarrollo Rural. Análisis factorial. Clusters.
title_short Multidimensionality of Rural Development in the municipalities of Ceará
title_full Multidimensionality of Rural Development in the municipalities of Ceará
title_fullStr Multidimensionality of Rural Development in the municipalities of Ceará
title_full_unstemmed Multidimensionality of Rural Development in the municipalities of Ceará
title_sort Multidimensionality of Rural Development in the municipalities of Ceará
author Bezerra, Filomena Nádia Rodrigues
author_facet Bezerra, Filomena Nádia Rodrigues
Lima, Filipe Augusto Xavier
author_role author
author2 Lima, Filipe Augusto Xavier
author2_role author
dc.contributor.author.fl_str_mv Bezerra, Filomena Nádia Rodrigues
Lima, Filipe Augusto Xavier
dc.subject.por.fl_str_mv Ruralidade. Desenvolvimento Rural. Análise Fatorial. Clusters.
Rural Development. Factor analysis. Clusters.
Ruralidad. Desarrollo Rural. Análisis factorial. Clusters.
topic Ruralidade. Desenvolvimento Rural. Análise Fatorial. Clusters.
Rural Development. Factor analysis. Clusters.
Ruralidad. Desarrollo Rural. Análisis factorial. Clusters.
description This article intends to measure rural development in the municipalities of Ceará, through the creation of a Rural Development Index (IDRURAL), identifying its main conditioning factors. To this end, 29 indicators were selected that contemplate different dimensions of rural development. The methodological procedures used were: Factor Analysis for the construction of IDRURAL and the cluster analysis was used to identify the similarities between the municipalities of Ceará, in terms of the level of rural development. The analysis of the main components showed that the indicators related to education, income, labor, housing conditions, soil conservation practices, access to electricity and rural credit, as well as other variables analyzed, better explain the level of rural development in Ceará. The results showed that only 25 municipalities in Ceará (13.59%) had high levels of rural development. The intermediate IDRURAL cluster, on the other hand, contains the largest number of municipalities, equivalent to a total of 81 (44.02%). The cluster with low IDRURAL corresponds to a total of 78 (42.39%) municipalities cearenses.
publishDate 2022
dc.date.none.fl_str_mv 2022-03-01
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url https://www.periodicos.unimontes.br/index.php/cerrados/article/view/4156
identifier_str_mv 10.46551/rc24482692202207
dc.language.iso.fl_str_mv por
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dc.relation.none.fl_str_mv https://www.periodicos.unimontes.br/index.php/cerrados/article/view/4156/5096
https://www.periodicos.unimontes.br/index.php/cerrados/article/view/4156/6361
dc.rights.driver.fl_str_mv Copyright (c) 2022 Revista Cerrados
https://creativecommons.org/licenses/by-nc-nd/4.0
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rights_invalid_str_mv Copyright (c) 2022 Revista Cerrados
https://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editora Unimontes
publisher.none.fl_str_mv Editora Unimontes
dc.source.none.fl_str_mv Revista Cerrados; v. 20 n. 01 (2022): Revista Cerrados ; 149-186
2448-2692
1678-8346
10.46551/rc244826922022v20n1
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