Corruption in Brazil: Analysis of transparency from the perspective of the civil construction sector




Corruption; Transparency; Causes of corruption; Protection 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.


Akinwande, M. O., Dikko, H. G., & Samson, A. (2015). Variance Inflation Factor: As a Condition for the Inclusion of Suppressor Variable(s) in Regression Analysis. Open Journal of Statistics, 5(7):754-767.;

Alatas, S.H. (1990). Corruption: Its Nature, Causes and Functions. Waltham Abbey, United Kingdom: Avebury;

Ali, A. M. & Isse, H. S. (2002). Determinants of economic corruption: A cross-country comparison. Cato Journal, 22(3), p. 449. Disponível em:;

Anaman, K. A., & Osei‐Amponsah, C. (2007). Analysis of the causality links between the growth of the construction industry and the growth of the macro‐economy in Ghana. Construction management and economics, 25(9), 951-961.;

Apergis, N., Dincer, O.C., & Payne, J.E. (2010). The relationship between corruption and income inequality in U.S. states: evidence from a panel cointegration and error correction model. Public Choice, 145(1-2), 125-135.;

Ashour, A. (2006). Combating corruption: systemic and strategic perspectives, UNDP POGAR concept paper, United Nations Development Programme, Beirut.

Asongu, S., & Nwachukwu, J.C. (2015). The Incremental Effect of Education on Corruption: Evidence of Synergy from Lifelong Learning. Economics Bulletin, 35(4), 2288-2308.;

Batistello, P.; Balzan, K. L., & Pereira, A. T. C. (2019). BIM no ensino das competências em Arquitetura e Urbanismo: transformação curricular. PARC Pesquisa em Arquitetura e Construção, 10, e019019, 2019.;

BOLL, J. L. S. (2010). A corrupção governamental no Brasil: construção de indicadores e análise da sua incidência relativa nos estados brasileiros. Dissertação de Mestrado. Pontifícia Universidade Católica do Rio Grande do Sul;

Borlea, S. N., Achim, M. V. & Miron, M. G. A. (2017). Corruption, shadow economy and economic growth: An empirical survey across the European Union countries. Studia Universitatis „Vasile Goldis” Arad–Economics Series, v. 27, n. 2, p. 19-32.;

Boslaugh, S, & Watters, P. A. (2008). Statistics in a Nutshell: A Desktop Quick Reference. Sebastopol, CA: O'Reilly Media, Incorporated;

Boyd, J. M., & Padilha, J. D. (2009). FIDIC and Integrity: A Status Report. Leadership and Management in Engineering, 9(3), 125-128.;

Brol, M. (2016). Institutional determinants of corruption. Ekonomia i Prawo. Economics and Law, 15(1), 21-32.;

Büyüköztürk, S. (2002). Sosyal Bilimler için Veri Analizi El Kitabı İstatistik, Araştırma Deseni SPSS Uygulamaları ve Yorum. Ankara: Pegem Akademi Yayıncılık;

Carlson, K. M (1989). Do Price Indexes Tell Us About Inflation? A Review of the Issue. Federal Reserve Bank of St. Louis. Acessado em: 12 de dezembro de 2020. Disponível em:;

CBIC (2016). PIB da Construção Civil por estado e sua participação (%) no total do PIB da Construção Civil do país. Acessado em: 01 de março de 2021. Disponível em:;

CBIC (2020). PIB Construção Civil – Valores em R$ e taxa de crescimento. Acessado em: 27 de abril de 2021. Disponível em:;

Chan, A. P., & Owusu, E. K. (2017). Corruption forms in the construction industry: Literature review. Journal of Construction Engineering and Management, 143(8).;

Chang, C. & Hao, Y. (2017). Environmental performance, corruption and economic growth: global evidence using a new data set. Applied Economics, v. 49, n. 5, p. 498-514.;

CLP (2016). Ranking de Competitividade dos Estados – Edição 2016. Acessado em: 02 de fevereiro de 2021. Disponível em:;

CNJ (2017). Justiça em Números 2017: ano-base 2016. Conselho Nacional de Justiça. Acessado em: 03 de março de 2021. Disponível em:;

Cordis, A. S. (2009). Judicial Checks on Corruption in the United States (February 1, 2008). Economics of Governance, 10(4), 375-401.;

Creswell, J. W. (2009). Research design: qualitative, quantitative, and mixed methods approaches. Thousand Oaks, CA: Sage Publications;

Creswell, J. W. (2012). Qualitative Inquiry and Research Design: Choosing Among Five Approaches. Thousand Oaks, CA: Sage Publications;

Creswell, J. W., & Plano Clarl, V. L. (2011). Designing and conducting mixed methods research. 2nd. Los Angeles: Sage Publications;

De Rosa, D., Gooroochurn, N. & Görg, H. (2016). Corruption and productivity: Firm-level evidence. In Corruption at the Grassroots-level–Between Temptation, Norms, and Culture, 115-138.;

Del Monte, A. & Papagni, E. (2007). The determinants of corruption in Italy: Regional panel data analysis. European Journal of Political Economy, 23(2), 379-396.;

Dincer, O. C. & Gunalp, B. (2012). Corruption and income inequality in the United States. Contemporary Economic Policy, 30(2), 283-292.;

Dirwan, A. (2019). The effect of education against corruption in Indonesia. OIDA International Journal of Sustainable Development, 12(1), 53-64.;

Dobson, S., & Ramlogan-Dobson, C. (2010). Is there a trade-off between income inequality and corruption? Evidence from Latin America. Economics Letters, 107(2), 102-104.;

Etherington, T. R. (2019). Mahalanobis distances and ecological niche modelling: correcting a chi-squared probability error. PeerJ, 7.;

Ferraz, C., Finan, F., & Moreira, D. B. (2012). Corrupting learning: Evidence from missing federal education funds in Brazil. Journal of Public Economics, 96(9-10), 712-726.;

Gardiner, J. (2002). Defining Corruption. Political corruption: Concepts and contexts, 3, 25-40;

Getz, K. and Volkema, J. (2001). Culture, perceived corruption, and economics: A Model of Predictors and Outcomes, Business & Society, 40(1), 7-30.;

Hair Jr., J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2019). Multivariate data analysis. Andover: Cengage Learning;

Halter, M. V., De Arruda, M. C. C., & Halter, R. B. (2009). Transparency to reduce corruption?. Journal of Business Ethics, 84(3), 373-385.;

Herzfeld T., & Weiss C. (2003). Corruption and legal (in)effectiveness: an empirical investigation. European Journal of Political Economy, 19(3), 621-632.;

IBGE (2017). IBGE divulga o rendimento domiciliar per capita de 2016. Acessado em: 02 de fevereiro de 2021. Disponível em:;

Ive, G., & Gruneberg, L. (2000). The Economics of the Modern Construction Sector. United Kingdom: Palgrave Macmillan;

Jain, A. K. (2001). Corruption: A Review. Journal of Economic Surveys, 1(1), 71-121.;

Jetter, M. & Parmeter, C. F. (2018) Sorting through global corruption determinants: Institutions and education matter–Not culture. World Development, 109, 279-294.;

Kline, R. B. (2010). Principles and Practice of Structural Equation Modeling. New York: The Guilford Press;

Knutsen, C. H., et al. (2017). Mining and local corruption in Africa. American Journal of Political Science, 61(2), 320-334.;

Liu, C., Moldogaziev, T. T. & Mikesell, J. L. (2017). Corruption and state and local government debt expansion. Public Administration Review, 77(5), 681-690.;

Lopez-Valcarcel, B. G., Jiménez, J. L. & Perdiguero, J. (2017). Danger: local corruption is contagious!. Journal of Policy Modeling, 39(5), 790-808.;

Lowe, J.L. (2003). Construction Economics. Acessado em: 23 de março de 2021. Disponível em: www.callnetuk.come/home/johnlowe 70/;

Luciano, E. M., Wiedenhöft, G. C., & Callegaro, S. (2019). Entendendo os fatores de combate à corrupção: proposta de um constructo de dissuasão à corrupção. Revista de Contabilidade e Organizações, n. temático Fraudes e Corrupção: o que Contabilidade e Organizações têm a dizer?, 20-30.;

Madanipour, A. & Thompson, M. F. (2020). Is globalization linked to low corruption in OECD countries?. Crime, Law and Social Change, 73(4), 443-455.;

Mahalanobis, P C (1936). On the generalised distância in statistics. Proceedings of the National Institute of Sciences of India. Acessado em: 19 de dezembro de 2020. Disponível em:;

Maria, N. S. B. et al. (2021). The Effect of Education and Macroeconomic Variables on Corruption Index in G20 Member Countries. Economies, 9(1), 23.;

Mauro, P. (1995). Corruption and growth, Quarterly Journal of Economics, 109, 681-712.;

Montes, G. C., & Luna, P. H. (2020). Fiscal transparency, legal system and perception of the control on corruption: empirical evidence from panel data. Empirical Economics, 1-33.;

MPF. (2016). Ranking Nacional da Transparência. Acessado em: 01 de março de 2021. Disponível em:;

MPF. (2021). Mapa da Transparência: O projeto. Acessado em: 01 de março de 2021. Disponível em:;

MPF. (2021). Caso Lava Jato. Entenda o Caso. Acessado em: 27 de abril de 2021. Disponível em:;

Nordin, R. M., Takim, R., & Nawawi, A. H. (2013). Behavioural Factors of Corruption in the Construction Industry. Procedia - Social and Behavioral Sciences, 105, 64-74.;

Nye, J. S. (1967). Corruption and Political Development: A Cost-Benefit Analysis. American Political Science Review, 61(2), 417-427.;

Oladinrin, T.O., Ogunsemi, D.R., Aje, I.O. (2012). Role of Construction Sector in Economic Growth: Empirical Evidence from Nigeria. Journal of the Environment, 7(1).;

Rangelova, F. (2015). Fundamentals of economics in sustainable construction. Bultest Standard Ltd. Bulgaria;

Rose-Ackerman, S. & Palifka, B. J. (2016). Corruption and government: Causes, consequences, and reform. 2nd ed. New York: Cambridge University Press.

Sarabia, M., et al. (2020). The Human Development Index (HDI) and the Corruption Perception Index (CPI) 2013-2017: analysis of social conflict and populism in Europe. Economic Research-Ekonomska Istraživanja, 33(1), 2943-2955.;

Shashkova, A. V. (2018) Corruption is a problem of political theory and practice. Montenegrin Journal of Economics, 14(3), 143-154.;

Song, C., Chang, C. & Gong, Q. (2021) Economic growth, corruption, and financial development: Global evidence. Economic Modelling, 94, 822-830.;

Stansbury, N. (2005). Exposing the foundations of corruption in construction. Global Corruption Report 2005, 36-50. London: Pluto Press;

Svensson, J. (2005). Eight questions about corruption, Journal of Economic Perspectives, 19, 19-42.;

Tabachnick, B. G., & Fidell, S. L. (1996). Using multivariate statistics. New York: HarperCollins College Publishers;

Tavares, S. C. (2007). Do rapid political and trade liberalizations increase corruption?. European Journal of Political Economy, 23(4), 1053-1076.;

Theobald, R. (1990). What is Corruption?. In: Corruption, development and underdevelopment. Palgrave Macmillan, London, 1-18.;

Tofoli, D. (2020). Justiça em Números 2020/Conselho Nacional de Justiça. Brasília: CNJ;

Tran, Q. T. (2021). Local corruption and dividend policy: Evidence from Vietnam. Economic Analysis and Policy, 70, 195-205.;

Transparency International (2008). Bribe payers index 2008. Acessado em: 06 de setembro de 2020. Disponível em:;

Transparency International (2011). Bribe payer index 2011. Acessado em: 22 de novembro de 2020. Disponível em:;

Treisman, D. (2000). The causes of corruption: a cross-national study. Journal of public economics, 76(3), 399-457.;

United Nations (2020). Education index. United Nations Development Programme - Human Development Reports. Acessado em: 27 de maio de 2020. Disponível em:;

Uyanik, G. K., & Guler, N. (2013). A Study on Multiple Linear Regression Analysis. Procedia – Social and Behavioral Sciences, 106(10), 234-240.;

Vargas-Hernández J. G. (2009). The Multiple Faces of Corruption: Typology, Forms and Levels. SSRN Electronic Journal, 20.;

Williams, M. N., Grajales, C. A. G., & Kurkiewicz, D. (2013). Assumptions of Multiple Regression: Correcting Two Misconceptions. Practical Assessment, Research, and Evaluation, 18(11).;

World Bank (2019). GNI per capita, PPP (current international $). International Comparison Program, World Bank | World Development Indicators database, World Bank. Acessado em: 27 de maio de 2020. Disponível em:



How to Cite

OLIVEIRA, E. P. de; SANTOS, J. A. N. dos; FREITAS, A. P. A.; NEVES, S. F. M. Corruption in Brazil: Analysis of transparency from the perspective of the civil construction sector. Research, Society and Development, [S. l.], v. 10, n. 5, p. e46310515257, 2021. DOI: 10.33448/rsd-v10i5.15257. Disponível em: Acesso em: 3 feb. 2023.