Corruption in Brazil: Analysis of transparency from the perspective of the civil construction sector
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/15257 |
Resumo: | This article aims to identify the variables that can influence acts of corruption in the national scenario, based on their respective transparency indexes, considering the simultaneous performance of economic, social and legal factors, from the perspective of civil construction. The results of this research made it possible to verify which variables are statistically significant in the national corruption scenario, as well as the variables that refer to this phenomenon in the civil construction sector. The adopted methodology consists of the identification of a multiple linear regression model to evaluate and describe the relationship between the variables. For this, the data were collected on the official websites of the Federal Public Ministry, the Brazilian Chamber of the Construction Industry, the Center for Public Leadership, the Brazilian Institute of Geography and Statistics and the National Council of Justice. Then, a database was structured for the application of statistical analysis, which considered three hypotheses to be verified. The results obtained showed that, when analyzed simultaneously, the variables related to economic (GDP of Civil Construction) and social (Education Index and Per Capita Income) have statistically significant values (p-value <= 0.10), while the variables associated with legal factors as influencing corruption, did not show statistical significance (p-value> 0.10). Conceptually, this study seeks to structure understandings that can assist in directing the fight against corruption in the national scenario, suggesting the formulation of public policies for areas of greater relevance. |
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Corruption in Brazil: Analysis of transparency from the perspective of the civil construction sectorCorrupción en Brasil: Análisis de la transparencia bajo la perspectiva del sector de la construcción civilA corrupção no Brasil: Análise da transparência sob a ótica do setor da construção civilCorrupçãoTransparênciaCausas da corrupçãoProteção à corrupção.CorrupciónTransparenciaCausas de la corrupciónProtección contra la corrupción.CorruptionTransparencyCauses of corruptionProtection against corruption.This article aims to identify the variables that can influence acts of corruption in the national scenario, based on their respective transparency indexes, considering the simultaneous performance of economic, social and legal factors, from the perspective of civil construction. The results of this research made it possible to verify which variables are statistically significant in the national corruption scenario, as well as the variables that refer to this phenomenon in the civil construction sector. The adopted methodology consists of the identification of a multiple linear regression model to evaluate and describe the relationship between the variables. For this, the data were collected on the official websites of the Federal Public Ministry, the Brazilian Chamber of the Construction Industry, the Center for Public Leadership, the Brazilian Institute of Geography and Statistics and the National Council of Justice. Then, a database was structured for the application of statistical analysis, which considered three hypotheses to be verified. The results obtained showed that, when analyzed simultaneously, the variables related to economic (GDP of Civil Construction) and social (Education Index and Per Capita Income) have statistically significant values (p-value <= 0.10), while the variables associated with legal factors as influencing corruption, did not show statistical significance (p-value> 0.10). Conceptually, this study seeks to structure understandings that can assist in directing the fight against corruption in the national scenario, suggesting the formulation of public policies for areas of greater relevance.Este artículo tiene como objetivo identificar las variables que pueden incidir en hechos de corrupción en el escenario nacional, con base en sus respectivos índices de transparencia, considerando el desempeño simultáneo de factores económicos, sociales y legales, desde la perspectiva de la construcción civil. Los resultados de esta investigación permitieron verificar qué variables son estadísticamente significativas en el escenario de corrupción nacional, así como las variables que se refieren a este fenómeno en el sector de la construcción civil. La metodología adoptada consiste en la identificación de un modelo de regresión lineal múltiple para evaluar y describir la relación entre las variables. Para ello, los datos fueron recolectados en los sitios web oficiales del Ministerio Público Federal, la Cámara Brasileña de la Industria de la Construcción, el Centro de Liderazgo Público, el Instituto Brasileño de Geografía y Estadística y el Consejo Nacional de Justicia. Luego, se estructuró una base de datos para la aplicación del análisis estadístico, que consideró tres hipótesis a verificar. Los resultados obtenidos mostraron que, cuando se analizan simultáneamente, las variables relacionadas con la economía (PIB de Construcción Civil) y social (Índice de Educación e Renta Per cápita) tienen valores estadísticamente significativos (valor p <= 0.10), mientras que las con factores legales que influyen en la corrupción, no mostró significación estadística (valor p> 0,10). Conceptualmente, este estudio busca estructurar entendimientos que puedan ayudar a encauzar la lucha contra la corrupción en el escenario nacional, sugiriendo la formulación de políticas públicas para áreas de mayor relevancia.Este artigo objetiva identificar as variáveis podem influenciar em atos de corrupção no cenário nacional, a partir de seus respectivos índices de transparência, considerando a atuação simultânea dos fatores econômico, sociais e jurídicos, sob a ótica da construção civil. Os resultados desta pesquisa possibilitaram verificar quais variáveis são estatisticamente significantes no cenário da corrupção nacional, bem como as variáveis que se referem a este fenômeno no setor da construção civil. A metodologia adotada, consiste na identificação de um modelo de regressão linear múltipla para avaliar e descrever a relação entre as variáveis. Para isso, os dados foram coletados nos sites oficiais do Ministério Público Federal, Câmara Brasileira da Indústria da Construção, Centro de Liderança Pública, Instituto Brasileiro de Geografia e Estatística e Conselho Nacional de Justiça. Em seguida, foi estruturada uma base de dados para a aplicação da análise estatística, que considerou de três hipóteses para serem verificadas. Os resultados obtidos mostraram que, ao serem analisadas simultaneamente, as variáveis relacionadas aos fatores econômicos (PIB da Construção Civil) e sociais (Índice de Educação e Rendimento Per Capita) apresentam valores estatisticamente significativos (p-value<=0,10), enquanto as variáveis associadas aos fatores jurídicos como influenciadores na corrupção, não apresentaram significância estatística (p-value>0,10). De forma conceitual, este estudo busca estruturar entendimentos que possam auxiliar no direcionamento do combate à corrupção no cenário nacional, sugerindo a formulação de políticas públicas para áreas com maior relevância.Research, Society and Development2021-05-13info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1525710.33448/rsd-v10i5.15257Research, Society and Development; Vol. 10 No. 5; e46310515257Research, Society and Development; Vol. 10 Núm. 5; e46310515257Research, Society and Development; v. 10 n. 5; e463105152572525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/15257/13598Copyright (c) 2021 Eliã Pereira de Oliveira; João Alberto Neves dos Santos; Andrey Pimentel Aleluia Freitas; Samantha Fernandes Milczanowski Neveshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessOliveira, Eliã Pereira deSantos, João Alberto Neves dos Freitas, Andrey Pimentel AleluiaNeves, Samantha Fernandes Milczanowski2021-05-17T18:20:49Zoai:ojs.pkp.sfu.ca:article/15257Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:36:07.430365Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Corruption in Brazil: Analysis of transparency from the perspective of the civil construction sector Corrupción en Brasil: Análisis de la transparencia bajo la perspectiva del sector de la construcción civil A corrupção no Brasil: Análise da transparência sob a ótica do setor da construção civil |
title |
Corruption in Brazil: Analysis of transparency from the perspective of the civil construction sector |
spellingShingle |
Corruption in Brazil: Analysis of transparency from the perspective of the civil construction sector Oliveira, Eliã Pereira de Corrupção Transparência Causas da corrupção Proteção à corrupção. Corrupción Transparencia Causas de la corrupción Protección contra la corrupción. Corruption Transparency Causes of corruption Protection against corruption. |
title_short |
Corruption in Brazil: Analysis of transparency from the perspective of the civil construction sector |
title_full |
Corruption in Brazil: Analysis of transparency from the perspective of the civil construction sector |
title_fullStr |
Corruption in Brazil: Analysis of transparency from the perspective of the civil construction sector |
title_full_unstemmed |
Corruption in Brazil: Analysis of transparency from the perspective of the civil construction sector |
title_sort |
Corruption in Brazil: Analysis of transparency from the perspective of the civil construction sector |
author |
Oliveira, Eliã Pereira de |
author_facet |
Oliveira, Eliã Pereira de Santos, João Alberto Neves dos Freitas, Andrey Pimentel Aleluia Neves, Samantha Fernandes Milczanowski |
author_role |
author |
author2 |
Santos, João Alberto Neves dos Freitas, Andrey Pimentel Aleluia Neves, Samantha Fernandes Milczanowski |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Oliveira, Eliã Pereira de Santos, João Alberto Neves dos Freitas, Andrey Pimentel Aleluia Neves, Samantha Fernandes Milczanowski |
dc.subject.por.fl_str_mv |
Corrupção Transparência Causas da corrupção Proteção à corrupção. Corrupción Transparencia Causas de la corrupción Protección contra la corrupción. Corruption Transparency Causes of corruption Protection against corruption. |
topic |
Corrupção Transparência Causas da corrupção Proteção à corrupção. Corrupción Transparencia Causas de la corrupción Protección contra la corrupción. Corruption Transparency Causes of corruption Protection against corruption. |
description |
This article aims to identify the variables that can influence acts of corruption in the national scenario, based on their respective transparency indexes, considering the simultaneous performance of economic, social and legal factors, from the perspective of civil construction. The results of this research made it possible to verify which variables are statistically significant in the national corruption scenario, as well as the variables that refer to this phenomenon in the civil construction sector. The adopted methodology consists of the identification of a multiple linear regression model to evaluate and describe the relationship between the variables. For this, the data were collected on the official websites of the Federal Public Ministry, the Brazilian Chamber of the Construction Industry, the Center for Public Leadership, the Brazilian Institute of Geography and Statistics and the National Council of Justice. Then, a database was structured for the application of statistical analysis, which considered three hypotheses to be verified. The results obtained showed that, when analyzed simultaneously, the variables related to economic (GDP of Civil Construction) and social (Education Index and Per Capita Income) have statistically significant values (p-value <= 0.10), while the variables associated with legal factors as influencing corruption, did not show statistical significance (p-value> 0.10). Conceptually, this study seeks to structure understandings that can assist in directing the fight against corruption in the national scenario, suggesting the formulation of public policies for areas of greater relevance. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-05-13 |
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/15257 10.33448/rsd-v10i5.15257 |
url |
https://rsdjournal.org/index.php/rsd/article/view/15257 |
identifier_str_mv |
10.33448/rsd-v10i5.15257 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/15257/13598 |
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. 5; e46310515257 Research, Society and Development; Vol. 10 Núm. 5; e46310515257 Research, Society and Development; v. 10 n. 5; e46310515257 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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1797052832967294976 |