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

Authors

DOI:

https://doi.org/10.33448/rsd-v10i9.18207

Keywords:

Corruption; Corruption; Good Governance; Causes of corruption; Protection against corruption.; Good governance; Causes of corruption; Protection against corruption.

Abstract

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.

References

Akça, H., Ata, A. Y., & Karaca, C. (2012). Inflation and Corruption Relationship: Evidence from Panel Data in Developed and Developing Countries. International Journal of Economics and Financial Issues, 2(3), 281-295;

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

Alves, A.F., Curta, L.C., & Dias, L.S. (2017). Analysis of Correlation among HDI (Human Development Index), Violence and Corruption Perceptions Index. [Conference Paper] Conference: 5th CR3+ Conference - Making Corporate Responsibility UsefulAt: Helsinki, Finland. https://www.researchgate.net/publication/317281178.

American Society of Civil Engineers. (2004). Civil Engineers Call for Global Standards to Curb Trillion Dollar Worldwide Corruption. Reston: ASCE;

Anaman, K. A. & Amponsah, C. (2007). Analysis of the Causality Links Between the Growth of the Construction Industry and the Growth of the Macro Economy in Ghana. Acra: Institute of Economic. https://doi.org/10.1080/01446190701411208;

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. https://doi.org/10.1007/s11127-009-9557-1;

Ashforth, B. E., Gioia, D. A., Robinson, S. L., & Treviño, L. K. (2008). Re-Viewing Organizational Corruption. Academy of Management Review, 33(3), 670-684. https://doi.org/10.5465/amr.2008.32465714;

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. 10.2139/ssrn.2661448;

Bennedsen, M., Feldmann, S. E., & Lassen, D. D. (2011). Lobbying and Bribes - A Survey-Based Analysis of the Demand for Influence and Corruption. CESifo Working Paper Series 3496, CESifo;

Boyd, J. M., & Padilha, J. D. (2009). FIDIC and Integrity: A Status Report. Leadership and Management in Engineering, 9(3), 125-128. https://doi.org/10.1061/(ASCE)1532-6748(2009)9:3(125);

Brol, M. (2016). Institutional determinants of corruption. Ekonomia i Prawo. Economics and Law, 15(1), 21-32. http://dx.doi.org/10.12775/eip.2016.002;

Campanha, L. J. & Barboza, R. A. B. Quadro Jurídico de apoio aos Pequenos Empreendimentos: Lei do MEI, limitações e potencialidades. Revista Brasileira de Direito Empresarial, 5(2), p. 37 – 57.

Chan, A. P., & Owusu, E. K. (2017). Corruption forms in the construction industry: Literature review. Journal of Construction Engineering and Management, 143(8), 040170571. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001353;

Chong, A. & Gradstein, M. (2007) Inequality and institutions. The Review of Economics and Statistics, 89, 454-465. https://doi.org/10.1162/rest.89.3.454;

Cieślik, A., & Goczek, Ł. (2018). Control of corruption, international investment, and economic growth – Evidence from panel data. World Development, 103(March), 323–335. 10.1016/j.worlddev.2017.10.028;

Cordis, A. S. (2009). Judicial Checks on Corruption in the United States (February 1, 2008). Economics of Governance, 10(4), 375-401. https://ssrn.com/abstract=1019897;

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. 10.1016/j.econlet.2009.12.038;

Elbahnasawy, N. G., & Revier, C. F. (2012). The determinants of corruption: Cross‐country‐panel‐data analysis. The Developing Economies, 50(4), 311-333. https://doi.org/10.1111/j.1746-1049.2012.00177.x;

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. 10.1016/j.jpubeco.2012.05.012;

Fonseca, J. J. (2002). Metodologia da Pesquisa Científica. UEC;

Gil, A. C. (2008). Métodos e técnicas de pesquisa social. Atlas;

Goel, R. K., & Nelson, M. A. (2010). Causes of corruption: History, geography and government. Journal of Policy Modeling, 32(4), 433-447. https://doi.org/10.1016/j.jpolmod.2010.05.004;

Hair Jr., J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2019). Multivariate data analysis. [9th Edition] Andover: Cengage Learning.

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

Jetter, M., Agudelo, A. M., & Hassan, A. R. (2015). The effect of democracy on corruption: Income is key. World Development, 74(C), 286-304. 10.1016/j.worlddev.2015.05.016;

Journal of Management Inquiry (2017). Special Issue: Corruption Part 1 & Special Issue: Corruption Part 2. JMI, 26(3 & 4), 247- 442

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

Kolstad, I., & Wiig, A. (2016). Does democracy reduce corruption? Democratization, 23(7), 1198-1215. https://doi.org/10.1080/13510347.2015.1071797;

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. http://dx.doi.org/10.11606/issn.1982-6486.rco.2019.158516;

Lučić, D., Radišić, M., & Dobromirov, D. (2016). Causality between corruption and the level of GDP, Economic Research-Ekonomska Istraživanja, 29(1), 360-379, 10.1080/1331677X.2016.1169701;

Martins, G. A. & Theóphilo, C. R. (2016). Metodologia da investigação científica para ciências sociais aplicadas. Atlas;

Mahalanobis, P C (1936). On the generalised distância in statistics. Proceedings of the National Institute of Sciences of India. 2(1), 49-55. http://bayes.acs.unt.edu:8083/BayesContent/class/Jon/MiscDocs/1936_Mahalanobis.pdf

Medeiros, C.R.O, & Silveira, R.A. (2017). A Petrobrás nas teias da corrupção: mecanismos discursivos da mídia brasileira na cobertura da Operação Lava Jato. Revista de Contabilidade e Organizações, 31, 11-20. http://dx.doi.org/10.11606/rco.v11i31.134817;

Mendonça, H. F., & Fonseca, A. O. (2012). Corruption, income, and rule of law: empirical evidence from developing and developed economies. Brazilian Journal of Political Economy, 32(2), 305-314. https://doi.org/10.1590/S0101-31572012000200009;

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. 10.1007/s00181-020-01849-9;

Mungiu-Pippidi, A., & Dadašov, R. (2016). Measuring control of corruption by a new index of public integrity. European Journal on Criminal Policy and Research, 22(3), 415–438. https://doi.org/10.1007/s10610-016-9324-z;

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. 10.1016/j.sbspro.2013.11.008;

Nye, J. S. (1967). Corruption and Political Development: A Cost-Benefit Analysis. American Political Science Review, 61(2), 417-427. https://doi.org/10.2307/1953254;

Oberoi, R. (2014). Mapping the Matrix of Corruption: Tracking the Empirical Evidences and Tailoring Responses. Journal of Asian and African Studies, 49(2), 187-214. https://doi.org/10.1177/0021909613479319;

O'Connor, S., & Fischer, R. (2012). Predicting Societal Corruption Across Time: Values, Wealth, or Institutions? Journal of Cross-Cultural Psychology, 43(4), 644-659. https://doi.org/10.1177/0022022111402344;

Pellegrini, L. (2011). Causes of corruption: a survey of cross-country analyses and extended results. In: Lorenzo Pellegrini, Corruption, development and the environment. [Chapter 3], pp. 29-51, Dordrecht: Springer Netherlands;

Revista de Contabilidade e Organizações (2019). Fraudes e Corrupção: o que Contabilidade e Organizações têm a dizer? RCO, n. temático, 1-85.

Rose-Ackerman, S. & Palifka, B. J. (2016). Corruption and government: Causes, consequences, and reform. Cambridge University Press;

Saha, S., Gounder, R., Campbell, N., & Su, J.J. (2014). Democracy and corruption: A complex relationship. Crime, Law and Social Change, 61(3), 287-308. DOI 10.1007/s10611-013-9506-2;

Sofwan, M., Setiono, P., Mohamed Elsayed, A. E., & Saudagar, F. (2018). Fighting against Corruption through Character Education: The Voices of Indonesian Primary School Teachers. Indonesian Research Journal in Education, 2(2), 86-96. https://doi.org/10.22437/irje.v2i2.6092;

Stansbury, N. (2005). Exposing the foundations of corruption in construction. In y Diana Rodriguez, Gerard Waite and Toby Wolfe, Global Corruption Report 2005, pp 36-50. Pluto Press;

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

Transparency International (2002). Bribe payer index 2002. https://www.transparency.org/research/bpi.

Transparency International (2018). What is corruption? https://www.transparency.org/what-is-corruption

Transparency International (2019). Bribe payer index 2019. https://www.transparency.org/research/bpi.

Unctad. (2000). Regulation and Liberalization in the Construction Services Sector and Its Contribution to the Development of Developing Countries. New York: UNCTAD;

United Nations. (2020). List of UN Member States. https://www.un.org/en/member-states/index.html.

Uslaner, E. (2008). Corruption, Inequality, and the Rule of Law: The Bulging Pocket Makes the Easy Life. Cambridge: Cambridge University Press. 10.1017/CBO9780511510410.003;

Uyanik, G. K., & Guler, N. (2013). A Study on Multiple Linear Regression Analysis. Procedia – Social and Behavioral Sciences, 106(10), 234-240. https://doi.org/10.1016/j.sbspro.2013.12.027;

Valinote et al. (2014). Análise da Qualidade de Vida, Capacidade para o Trabalho e Nível de Estresse em Trabalhadores da Construção Civil. Revista Brasileira de Ciências Ambientais Vol 32, 115-126.

Valarini, E. & Pohlmann, M. (2019). Organizational Crime and Corruption in Brazil: a Case Study of the Operation Carwash Court Records. International Journal of Law, Crime and Justice, Vol. 59, 1-15.

Williams, M. N., Grajales, C. A. G., & Kurkiewicz, D. (2013). Assumptions of Multiple Regression: Correcting Two Misconceptions. Practical Assessment, Research, and Evaluation, 18(11). https://doi.org/10.7275/55hn-wk47;

Zyglidopoulos, S., Hirsch, P., Holan, P. M., & Phillips, N. (2017). Expanding Research on Corporate Corruption, Management, and Organizations. Journal of Management Inquiry, 26(3), 247–253. 10.1177/1056492617706648.

Published

26/07/2021

How to Cite

OLIVEIRA, E. P. de; SANTOS, J. A. N. dos; COSENZA, J. P.; NEVES, S. F. M. Examining the phenomenon of corruption around the world: A look over the factor that interferer in corruption perception. Research, Society and Development, [S. l.], v. 10, n. 9, p. e32010918207, 2021. DOI: 10.33448/rsd-v10i9.18207. Disponível em: https://rsdjournal.org/index.php/rsd/article/view/18207. Acesso em: 18 sep. 2021.

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Section

Engineerings