Examining the phenomenon of corruption around the world: A look over the factor that interferer in corruption perception
Autor(a) principal: | |
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Data de Publicação: | 2021 |
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/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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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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1797052684556042240 |