Cluster analysis involving the world corruption perception index: An approach applied to South America
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2020 |
| Outros Autores: | , , , , , , , , |
| Tipo de documento: | Artigo |
| Idioma: | por |
| Título da fonte: | Research, Society and Development |
| Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/4471 |
Resumo: | The Corruption is a global problem, causing the public coffers to worsen, but it also damages social and quality aspects of the population. Analyzing this scenario, the NGO - Transparency International, since 1995, annually discloses the Corruption Perception Index (IPC), the main global indicator of corruption. In this sense, this research sought, by means of a quantitative and exploratory analysis, to verify indicators of the 12 (twelve) countries of South America: Human Development Index (HDI), GDP per in habitant, Literacy rate, Gini Index, Index Gini's Index of Quality and Access to Health Services (QASS), life expectancy and economic freedom index and compare them with the IPC data for 2019, in order to calculate Pearson's correlation; subsequently, the cluster analysis was performed, with the variables that showed significant correlation. For this, the following multivariate statistical techniques were used: Euclidean distance, to generate a distance matrix between countries, and the Average Hierarchical Agglomerate method to obtain the dendogram. The results indicated the formation of three groups with different characteristics in relation to corruption. Therefore, it can be said that the analyzed indicators can influence data on corruption in South America. |
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Cluster analysis involving the world corruption perception index: An approach applied to South AmericaAnálisis de conglomerados que involucra el índice mundial de percepción de la corrupción: Un enfoque aplicado a América del SurAnálise de agrupamento envolvendo o Índice de percepção da corrupção mundial: Uma abordagem aplicada a América do SulCountrieseuclidean distancedendrogram.Paísesdistancia euclidianadendrograma.Paísesdistância euclidianadendrogramaThe Corruption is a global problem, causing the public coffers to worsen, but it also damages social and quality aspects of the population. Analyzing this scenario, the NGO - Transparency International, since 1995, annually discloses the Corruption Perception Index (IPC), the main global indicator of corruption. In this sense, this research sought, by means of a quantitative and exploratory analysis, to verify indicators of the 12 (twelve) countries of South America: Human Development Index (HDI), GDP per in habitant, Literacy rate, Gini Index, Index Gini's Index of Quality and Access to Health Services (QASS), life expectancy and economic freedom index and compare them with the IPC data for 2019, in order to calculate Pearson's correlation; subsequently, the cluster analysis was performed, with the variables that showed significant correlation. For this, the following multivariate statistical techniques were used: Euclidean distance, to generate a distance matrix between countries, and the Average Hierarchical Agglomerate method to obtain the dendogram. The results indicated the formation of three groups with different characteristics in relation to corruption. Therefore, it can be said that the analyzed indicators can influence data on corruption in South America.La corrupción es un problema global que empeora las arcas públicas, pero también las pérdidas en los aspectos sociales y de calidad de la población. Analizando este escenario, la ONG - Transparencia Internacional, desde 1995, publica anualmente el Índice de Percepción de la Corrupción (IPC), el principal indicador global de corrupción. En este sentido, esta investigación buscó, a través de un análisis cuantitativo y exploratorio, verificar los indicadores de los 12 (doce) países de América del Sur: Índice de Desarrollo Humano (IDH), PIB per cápita, tasa de alfabetización, índice de Gini, calidad y acceso a servicios de salud (QASS), índice de esperanza de vida y libertad económica y compárelos con los datos del IPC para el año 2019, para calcular la correlación de Pearson y luego se realizó el análisis de conglomerados , con las variables que mostraron una correlación significativa. Para esto, se utilizaron las siguientes técnicas estadísticas multivariadas: distancia euclidiana, para generar una matriz de distancia entre países, y el método de aglomeración jerárquica promedio para obtener el dendograma. Los resultados indicaron la formación de tres grupos con diferentes características en relación con la corrupción. Por lo tanto, se puede decir que los indicadores analizados pueden influir en los datos de corrupción en América del Sur.A corrupção é um problema de âmbito mundial, proporcionando o agravamento dos cofres públicos, mas também prejuízos em aspectos sociais e de qualidade da população. Analisando este cenário, a ONG - Transparência Internacional, desde 1995, divulga anualmente o Índice de Percepção da Corrupção (IPC), principal indicador mundial da corrupção. Neste sentido, esta pesquisa buscou através de uma análise quantitativa e exploratória, verificar indicadores dos 12(doze) países sul-americanos: Índice de desenvolvimento humano (IDH), PIB per capita, Taxa de alfabetização, Índice de Gini, Índice de qualidade e acesso de serviços de saúde (QASS), Expectativa de Vida e Índice de Liberdade Econômica e compará-los com os dados do IPC do ano de 2019, com o intuito de calcular a correlação de Pearson, posteriormente realizou-se a análise de agrupamentos, com as variáveis que tiveram correlação significativa. Para tanto, utilizou-se as seguintes técnicas estatísticas multivariadas: Distância Euclidiana, para gerar uma matriz de distância entre os países, e o método Aglomerativo Hierárquico Average para a obtenção do dendrograma. Os resultados apontaram a formação de três grupos com diferentes características, em relação à corrupção.Portanto, pode-se afirmar que os indicadores analisados podem ter influência nos dados sobre a corrupção na América do Sul. Research, Society and Development2020-06-16info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/447110.33448/rsd-v9i7.4471Research, Society and Development; Vol. 9 No. 7; e829974471Research, Society and Development; Vol. 9 Núm. 7; e829974471Research, Society and Development; v. 9 n. 7; e8299744712525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/4471/4254Copyright (c) 2020 Lucas Silva do Amaral, Diego Alves Gomes, Augusto César Ferreira de Miranda Oliveira, Marília Gabriela Ferreira de Miranda Oliveira, José Edvaldo de Oliveira Nunes, Natália Moraes Cordeiro, Maria Marciele de Lima Silva, Edgo Jackson Pinto Santiago, André Luiz Pinto dos Santos, Guilherme Rocha Moreirainfo:eu-repo/semantics/openAccessAmaral, Lucas Silva doGomes, Diego AlvesOliveira, Augusto César Ferreira de MirandaOliveira, Marília Gabriela Ferreira de MirandaNunes, José Edvaldo de OliveiraSilva, Maria Marciele de LimaCordeiro, Natália MoraesSantiago, Edgo Jackson PintoSantos, André Luiz Pinto dosMoreira, Guilherme Rocha2020-08-20T18:05:03Zoai:ojs.pkp.sfu.ca:article/4471Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:28:18.864059Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
| dc.title.none.fl_str_mv |
Cluster analysis involving the world corruption perception index: An approach applied to South America Análisis de conglomerados que involucra el índice mundial de percepción de la corrupción: Un enfoque aplicado a América del Sur Análise de agrupamento envolvendo o Índice de percepção da corrupção mundial: Uma abordagem aplicada a América do Sul |
| title |
Cluster analysis involving the world corruption perception index: An approach applied to South America |
| spellingShingle |
Cluster analysis involving the world corruption perception index: An approach applied to South America Amaral, Lucas Silva do Countries euclidean distance dendrogram. Países distancia euclidiana dendrograma. Países distância euclidiana dendrograma |
| title_short |
Cluster analysis involving the world corruption perception index: An approach applied to South America |
| title_full |
Cluster analysis involving the world corruption perception index: An approach applied to South America |
| title_fullStr |
Cluster analysis involving the world corruption perception index: An approach applied to South America |
| title_full_unstemmed |
Cluster analysis involving the world corruption perception index: An approach applied to South America |
| title_sort |
Cluster analysis involving the world corruption perception index: An approach applied to South America |
| author |
Amaral, Lucas Silva do |
| author_facet |
Amaral, Lucas Silva do Gomes, Diego Alves Oliveira, Augusto César Ferreira de Miranda Oliveira, Marília Gabriela Ferreira de Miranda Nunes, José Edvaldo de Oliveira Silva, Maria Marciele de Lima Cordeiro, Natália Moraes Santiago, Edgo Jackson Pinto Santos, André Luiz Pinto dos Moreira, Guilherme Rocha |
| author_role |
author |
| author2 |
Gomes, Diego Alves Oliveira, Augusto César Ferreira de Miranda Oliveira, Marília Gabriela Ferreira de Miranda Nunes, José Edvaldo de Oliveira Silva, Maria Marciele de Lima Cordeiro, Natália Moraes Santiago, Edgo Jackson Pinto Santos, André Luiz Pinto dos Moreira, Guilherme Rocha |
| author2_role |
author author author author author author author author author |
| dc.contributor.author.fl_str_mv |
Amaral, Lucas Silva do Gomes, Diego Alves Oliveira, Augusto César Ferreira de Miranda Oliveira, Marília Gabriela Ferreira de Miranda Nunes, José Edvaldo de Oliveira Silva, Maria Marciele de Lima Cordeiro, Natália Moraes Santiago, Edgo Jackson Pinto Santos, André Luiz Pinto dos Moreira, Guilherme Rocha |
| dc.subject.por.fl_str_mv |
Countries euclidean distance dendrogram. Países distancia euclidiana dendrograma. Países distância euclidiana dendrograma |
| topic |
Countries euclidean distance dendrogram. Países distancia euclidiana dendrograma. Países distância euclidiana dendrograma |
| description |
The Corruption is a global problem, causing the public coffers to worsen, but it also damages social and quality aspects of the population. Analyzing this scenario, the NGO - Transparency International, since 1995, annually discloses the Corruption Perception Index (IPC), the main global indicator of corruption. In this sense, this research sought, by means of a quantitative and exploratory analysis, to verify indicators of the 12 (twelve) countries of South America: Human Development Index (HDI), GDP per in habitant, Literacy rate, Gini Index, Index Gini's Index of Quality and Access to Health Services (QASS), life expectancy and economic freedom index and compare them with the IPC data for 2019, in order to calculate Pearson's correlation; subsequently, the cluster analysis was performed, with the variables that showed significant correlation. For this, the following multivariate statistical techniques were used: Euclidean distance, to generate a distance matrix between countries, and the Average Hierarchical Agglomerate method to obtain the dendogram. The results indicated the formation of three groups with different characteristics in relation to corruption. Therefore, it can be said that the analyzed indicators can influence data on corruption in South America. |
| publishDate |
2020 |
| dc.date.none.fl_str_mv |
2020-06-16 |
| dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
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article |
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publishedVersion |
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https://rsdjournal.org/index.php/rsd/article/view/4471 10.33448/rsd-v9i7.4471 |
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https://rsdjournal.org/index.php/rsd/article/view/4471 |
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10.33448/rsd-v9i7.4471 |
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por |
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por |
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https://rsdjournal.org/index.php/rsd/article/view/4471/4254 |
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info:eu-repo/semantics/openAccess |
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openAccess |
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application/pdf |
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Research, Society and Development |
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Research, Society and Development |
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Research, Society and Development; Vol. 9 No. 7; e829974471 Research, Society and Development; Vol. 9 Núm. 7; e829974471 Research, Society and Development; v. 9 n. 7; e829974471 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
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Universidade Federal de Itajubá (UNIFEI) |
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UNIFEI |
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UNIFEI |
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Research, Society and Development |
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Research, Society and Development |
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Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
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rsd.articles@gmail.com |
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1797052650018045952 |