Cluster analysis of socioeconomic development indicators of São Bento municipality, Paraíba

This article aims to measure the degree of socioeconomic development of São Bento Municipality (PB) in relation to other municipalities in Paraiba, Brazil. The research methodology is exploratory and employs multivariate analysis using data from Atlas Brasil, IPEA, and IBGE, covering the period from...

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Detalles Bibliográficos
Autores: de Azevedo, Alexsandro Morais, de Oliveira, Tiago Almeida, de Oliveira, Valber Muniz, Ramalho, Ângela Maria Cavalcanti, Wichmann , Roberta Moreira
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:Brasil
Institución:Universidade Regional do Noroeste do Estado do Rio Grande do Sul (UNIJUI)
Repositorio:Desenvolvimento em Questão
Idioma:portugués
OAI Identifier:oai:ojs.revistas.unijui.edu.br:article/16085
Acceso en línea:https://www.revistas.unijui.edu.br/index.php/desenvolvimentoemquestao/article/view/16085
Access Level:acceso abierto
Palabra clave:Cluster Analysis
Textile Manufacturing Industry
Regional Development
Análise de Cluster
Indústria Manufatura Têxtil
Desenvolvimento Regional
Descripción
Sumario:This article aims to measure the degree of socioeconomic development of São Bento Municipality (PB) in relation to other municipalities in Paraiba, Brazil. The research methodology is exploratory and employs multivariate analysis using data from Atlas Brasil, IPEA, and IBGE, covering the period from 2010 to 2018. The results obtained through statistical techniques such as cluster analysis, hierarchical clustering, k-means, and k-means combined with principal components identified that São Bento Municipality (PB) has an average Human Development Index (HDI) value of 0.58. It has a per capita GDP higher than 75% of the municipalities in Paraiba. Furthermore, it presents a proportion of employed individuals in the commerce, services, and especially in the textile industry sectors that is higher than the state average. The municipality is found in intermediate development clusters in the three methodologies used, according to the degree of similarity of the socioeconomic indicators: HDI-M and twenty-eight other variables that encompass the study. The textile industry, notably the manufacture of hammocks, stands out as a determining factor for the socioeconomic performance of São Bento.