Examining the phenomenon of corruption around the world: A look over the factor that interferer in corruption perception

Detalhes bibliográficos
Autor(a) principal: Oliveira, Eliã Pereira de
Data de Publicação: 2021
Outros Autores: Santos, João Alberto Neves dos, Cosenza, José Paulo, Neves, Samantha Fernandes Milczaznowski
Tipo de documento: Artigo
Idioma: por
Título da fonte: Research, Society and Development
Texto Completo: https://rsdjournal.org/index.php/rsd/article/view/18207
Resumo: The objective of the article is to identify which variables can influence the Corruption Perception Indexes of the countries, through an analysis of the simultaneous action of variables related to social, political, legal and economic factors. The research methodology then comprises the construction of a multiple linear regression model, representative of the relationship between the Corruption Perception Indices of the countries and the set of analyzed variables. For data collection, information provided by several international internet sites (Transparency International, NationMaster database, World Bank, Fraser Institute of Economics, Freedom House and the United Nations) was accessed, from which a database was created. To perform the multiple linear regression analysis, following the assumptions of this technique and considering a model with four hypotheses. The results found showed that, when analyzed simultaneously, the statistically significant variables of the model (p-value<=10) are related to factors: i) political (Civil Freedom and Political Rights), ii) social (Education and Gross National Income Per Capita) and iii) legal (Impartiality of the Jury and Integrity of the Legal System). As for the variables related to the economic factor, no statistical evidence was found (p-value>0.10) that they influence the Corruption Perception Indices. The research addressed here helps public policy makers in countries to design public policies that aim to positively influence their Corruption Perception Index.
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spelling Examining the phenomenon of corruption around the world: A look over the factor that interferer in corruption perceptionExaminando el fenómeno de la corrupción en el mundo: Una mirada a los factores que interfieren en la percepción de la corrupciónExaminando o fenômeno da corrupção no mundo: Um olhar sobre os fatores que interferem na percepção da corrupçãoCorruptionCorruption; Good Governance; Causes of corruption; Protection against corruption.Good governanceCauses of corruptionProtection against corruption.Corrupción; Gobernancia; Causas de la corrupción; Protección contra la corrupción.CorrupciónGobernanciaCausas de la corrupciónProtección contra la corrupción.Corrupção; Governança; Causas da corrupção; Proteção à corrupção.CorrupçãoGovernançaCausas da corrupçãoProteção à corrupção.The objective of the article is to identify which variables can influence the Corruption Perception Indexes of the countries, through an analysis of the simultaneous action of variables related to social, political, legal and economic factors. The research methodology then comprises the construction of a multiple linear regression model, representative of the relationship between the Corruption Perception Indices of the countries and the set of analyzed variables. For data collection, information provided by several international internet sites (Transparency International, NationMaster database, World Bank, Fraser Institute of Economics, Freedom House and the United Nations) was accessed, from which a database was created. To perform the multiple linear regression analysis, following the assumptions of this technique and considering a model with four hypotheses. The results found showed that, when analyzed simultaneously, the statistically significant variables of the model (p-value<=10) are related to factors: i) political (Civil Freedom and Political Rights), ii) social (Education and Gross National Income Per Capita) and iii) legal (Impartiality of the Jury and Integrity of the Legal System). As for the variables related to the economic factor, no statistical evidence was found (p-value>0.10) that they influence the Corruption Perception Indices. The research addressed here helps public policy makers in countries to design public policies that aim to positively influence their Corruption Perception Index.El objetivo del artículo es identificar qué variables pueden influir en los Índices de Percepción de la Corrupción de los países, mediante un análisis de la acción simultánea de variables relacionadas con factores sociales, políticos, legales y económicos. Luego, la metodología de investigación comprende la construcción de un modelo de regresión lineal múltiple, representativo de la relación entre los Índices de Percepción de la Corrupción de los países y el conjunto de variables analizadas. Para la recopilación de datos se accedió la información proporcionada por varios sitios internacionales de Internet (Transparency International, NationMaster database, World Bank, Fraser Institute of Economics, Freedom House and the United Nations), a partir de la cual se creó una base de datos para realizar el análisis de regresión lineal múltiple, siguiendo los supuestos de esta técnica y considerando un modelo con cuatro hipótesis. Los resultados encontrados mostraron que, cuando se analizan simultáneamente, las variables estadísticamente significativas del modelo (p-value <= 10) se relacionan con factores: i) políticos (Libertad Civil y Derechos Políticos), ii) sociales (Educación e Ingreso Nacional Bruto) Per cápita) y iii) legal (Imparcialidad del Jurado e Integridad del Sistema Legal). En cuanto a las variables relacionadas con factor económico, no se encontró evidencia estadística suficiente de que influyan en los Índices de Percepción de la Corrupción. La investigación que se analiza aquí ayuda a los formuladores de políticas públicas de los países en el diseño de políticas públicas que tienen como objetivo influir positivamente en su Índice de Percepción de la Corrupción.O objetivo do artigo é identificar quais variáveis podem influenciar nos Índices de Percepção da Corrupção dos países, por meio de uma análise da atuação simultânea de variáveis relacionadas aos fatores social, político, jurídico e econômico. A metodologia da pesquisa compreende então a construção de um modelo de regressão linear múltipla, representativo da relação entre os Índices de Percepção da Corrupção dos países e conjunto de variáveis analisadas. Para a coleta de dados, informações disponibilizadas por vários sítios de internet internacionais (Transparency International, NationMaster database, World Bank, Fraser Institute of Economics, Freedom House and the United Nations) foram acessadas, a partir das quais criou-se um banco de dados para a realização da análise de regressão linear múltipla, seguindo os pressupostos desta técnica e, considerando uma modelagem com quatro hipóteses. Os resultados encontrados apontaram que, ao serem analisadas simultaneamente, as variáveis estaticamente significantes do modelo (p-value<=10) estão relacionadas aos fatores: i) político (Liberdade Civil e Direitos Políticos), ii) social (Educação e Renda Nacional Bruta Per Capita) e iii) jurídico (Imparcialidade do Júri e Integridade do Sistema Jurídico). Quanto as variáveis relacionadas ao fator econômico, não foram encontradas evidências estatísticas (p-value>0,10) de que as mesmas influenciem nos Índices de Percepção da Corrupção. A pesquisa aqui abordada auxilia os formuladores de políticas públicas dos países na concepção de políticas públicas que visem influenciar, de forma positiva, no Índice de Percepção da Corrupção destes.Research, Society and Development2021-07-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1820710.33448/rsd-v10i9.18207Research, Society and Development; Vol. 10 No. 9; e32010918207Research, Society and Development; Vol. 10 Núm. 9; e32010918207Research, Society and Development; v. 10 n. 9; e320109182072525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/18207/16190Copyright (c) 2021 Eliã Pereira de Oliveira; João Alberto Neves dos Santos; José Paulo Cosenza; Samantha Fernandes Milczaznowski Neveshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessOliveira, Eliã Pereira deSantos, João Alberto Neves dosCosenza, José PauloNeves, Samantha Fernandes Milczaznowski2021-09-12T14:28:06Zoai:ojs.pkp.sfu.ca:article/18207Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:38:23.449907Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false
dc.title.none.fl_str_mv Examining the phenomenon of corruption around the world: A look over the factor that interferer in corruption perception
Examinando el fenómeno de la corrupción en el mundo: Una mirada a los factores que interfieren en la percepción de la corrupción
Examinando o fenômeno da corrupção no mundo: Um olhar sobre os fatores que interferem na percepção da corrupção
title Examining the phenomenon of corruption around the world: A look over the factor that interferer in corruption perception
spellingShingle Examining the phenomenon of corruption around the world: A look over the factor that interferer in corruption perception
Oliveira, Eliã Pereira de
Corruption
Corruption; Good Governance; Causes of corruption; Protection against corruption.
Good governance
Causes of corruption
Protection against corruption.
Corrupción; Gobernancia; Causas de la corrupción; Protección contra la corrupción.
Corrupción
Gobernancia
Causas de la corrupción
Protección contra la corrupción.
Corrupção; Governança; Causas da corrupção; Proteção à corrupção.
Corrupção
Governança
Causas da corrupção
Proteção à corrupção.
title_short Examining the phenomenon of corruption around the world: A look over the factor that interferer in corruption perception
title_full Examining the phenomenon of corruption around the world: A look over the factor that interferer in corruption perception
title_fullStr Examining the phenomenon of corruption around the world: A look over the factor that interferer in corruption perception
title_full_unstemmed Examining the phenomenon of corruption around the world: A look over the factor that interferer in corruption perception
title_sort Examining the phenomenon of corruption around the world: A look over the factor that interferer in corruption perception
author Oliveira, Eliã Pereira de
author_facet Oliveira, Eliã Pereira de
Santos, João Alberto Neves dos
Cosenza, José Paulo
Neves, Samantha Fernandes Milczaznowski
author_role author
author2 Santos, João Alberto Neves dos
Cosenza, José Paulo
Neves, Samantha Fernandes Milczaznowski
author2_role author
author
author
dc.contributor.author.fl_str_mv Oliveira, Eliã Pereira de
Santos, João Alberto Neves dos
Cosenza, José Paulo
Neves, Samantha Fernandes Milczaznowski
dc.subject.por.fl_str_mv Corruption
Corruption; Good Governance; Causes of corruption; Protection against corruption.
Good governance
Causes of corruption
Protection against corruption.
Corrupción; Gobernancia; Causas de la corrupción; Protección contra la corrupción.
Corrupción
Gobernancia
Causas de la corrupción
Protección contra la corrupción.
Corrupção; Governança; Causas da corrupção; Proteção à corrupção.
Corrupção
Governança
Causas da corrupção
Proteção à corrupção.
topic Corruption
Corruption; Good Governance; Causes of corruption; Protection against corruption.
Good governance
Causes of corruption
Protection against corruption.
Corrupción; Gobernancia; Causas de la corrupción; Protección contra la corrupción.
Corrupción
Gobernancia
Causas de la corrupción
Protección contra la corrupción.
Corrupção; Governança; Causas da corrupção; Proteção à corrupção.
Corrupção
Governança
Causas da corrupção
Proteção à corrupção.
description The objective of the article is to identify which variables can influence the Corruption Perception Indexes of the countries, through an analysis of the simultaneous action of variables related to social, political, legal and economic factors. The research methodology then comprises the construction of a multiple linear regression model, representative of the relationship between the Corruption Perception Indices of the countries and the set of analyzed variables. For data collection, information provided by several international internet sites (Transparency International, NationMaster database, World Bank, Fraser Institute of Economics, Freedom House and the United Nations) was accessed, from which a database was created. To perform the multiple linear regression analysis, following the assumptions of this technique and considering a model with four hypotheses. The results found showed that, when analyzed simultaneously, the statistically significant variables of the model (p-value<=10) are related to factors: i) political (Civil Freedom and Political Rights), ii) social (Education and Gross National Income Per Capita) and iii) legal (Impartiality of the Jury and Integrity of the Legal System). As for the variables related to the economic factor, no statistical evidence was found (p-value>0.10) that they influence the Corruption Perception Indices. The research addressed here helps public policy makers in countries to design public policies that aim to positively influence their Corruption Perception Index.
publishDate 2021
dc.date.none.fl_str_mv 2021-07-26
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://rsdjournal.org/index.php/rsd/article/view/18207
10.33448/rsd-v10i9.18207
url https://rsdjournal.org/index.php/rsd/article/view/18207
identifier_str_mv 10.33448/rsd-v10i9.18207
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://rsdjournal.org/index.php/rsd/article/view/18207/16190
dc.rights.driver.fl_str_mv https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Research, Society and Development
publisher.none.fl_str_mv Research, Society and Development
dc.source.none.fl_str_mv Research, Society and Development; Vol. 10 No. 9; e32010918207
Research, Society and Development; Vol. 10 Núm. 9; e32010918207
Research, Society and Development; v. 10 n. 9; e32010918207
2525-3409
reponame:Research, Society and Development
instname:Universidade Federal de Itajubá (UNIFEI)
instacron:UNIFEI
instname_str Universidade Federal de Itajubá (UNIFEI)
instacron_str UNIFEI
institution UNIFEI
reponame_str Research, Society and Development
collection Research, Society and Development
repository.name.fl_str_mv Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)
repository.mail.fl_str_mv rsd.articles@gmail.com
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