AbstractPrevious studies in the corruption literature have introduced numerous variables as the determinants of corruption. This articles aims to evaluate the robustness of potential determinants of corruption by addressing the model uncertainty and endogeneitry. The re More
AbstractPrevious studies in the corruption literature have introduced numerous variables as the determinants of corruption. This articles aims to evaluate the robustness of potential determinants of corruption by addressing the model uncertainty and endogeneitry. The results derived from an instrumental variable Bayesian model averaging analysis indicate that based on the data of 123 countries, rule of law, with a posterior inclusion probability (PIP) of 1 and posterior mean of 0.662 has the most important role in keeping corruption under control among 36 explanatory variables. Government effectiveness, with a PIP of 0.964 and posterior mean of 0.358 is another significant variable in curbing corruption. Also, with a PIP of 0.965 and posterior mean of -0.194 the Asia dummy variable tells that corruption is a serious problem in the Asia region. Further, confining the analysis to 95 developing countries reveals that rule of law with a PIP of 0.999 and posterior mean of 0.684 is the most critical variable in the fight against corruption.
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The purpose of this article is to investigate the effect of corruption on financial inclusion in Iran and selected member countries of the Organization of Islamic Cooperation during the period 2005- 2020. For this purpose, three variables have been used to measure finan More
The purpose of this article is to investigate the effect of corruption on financial inclusion in Iran and selected member countries of the Organization of Islamic Cooperation during the period 2005- 2020. For this purpose, three variables have been used to measure financial inclusion and three separate models were estimated. The results of model estimation using the System Generalized Method of Moments (SGMM) showed that at a significant level of 5%, lagged financial inclusion, the level of per capita GDP and education have a positive and significant effect on financial inclusion. Also, the impact of corruption on financial inclusion is negative and significant. At a significance level of 5%, the expansion of Internet users and mobile subscribers has a positive and significant effect on financial inclusion. The high share of women in the total population has a significant and negative effect on financial inclusion. Based on the results, it is suggested that policymakers reduce the level of corruption and increase financial inclusion by reducing wide monopolies, eliminating the rent, improving the quality of regulations and creating widespread transparency.
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This paper examines the impact of E-Government on the economic corruption in 34 selected countries of OIC during 2003-2011. Therefore, a random panel method like GLS will be used by considering heteroskedasticity to achieve the goal. The results represent that the impro More
This paper examines the impact of E-Government on the economic corruption in 34 selected countries of OIC during 2003-2011. Therefore, a random panel method like GLS will be used by considering heteroskedasticity to achieve the goal. The results represent that the improvement of E-government can reduce economic corruption of all countries. It can be possible only when more investment to be done on constructing and then improving E-government.
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Abstract
The aim of this study is to examine the effect of oil rent on corruption within the Selected Middle East and North Africa’s oil-rich countries (MENA) by using a panel data model over the period 2003 to 2016. For this purpose, the effect some control vari More
Abstract
The aim of this study is to examine the effect of oil rent on corruption within the Selected Middle East and North Africa’s oil-rich countries (MENA) by using a panel data model over the period 2003 to 2016. For this purpose, the effect some control variables such as oil production, economic openness degree, democracy index, political right index, individual liberties index, per capita production and inflation on corruption has been considered. The results showed that oil rent has statistically significant negative impact on corruption index. Economic openness degree increase and democracy improvement and institutional quality improvement significantly decrease corruption. However, other control variables have not significantly effect on corruption index. In addition to, institutional quality variable as moderating index of relationship between oil rent and corruption was been considered but its significant effect on the relationship between these two variables was not been confirmed.
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