MODELING THE IMPACTS OF E-GOVERNMENT SERVICES ON CORRUPTION REDUCTION IN RWANDA: A CASE EVIDENCE FROM NYAMASHEKE DISTRICT, RWANDA

Mweruli Fidele Tubanambazi,Eric Ruvuna

doi:10.46827/ejsss.v6i2.1036

Abstract

The study entitled modeling the impacts of e-government services on corruption reduction in Rwanda: Case evidence from Nyamasheke District, Rwanda was about assessing the contribution of e-government services use on reducing corruption in the area under study. The study was guided with the objective of exploring the utilization of multinomial logistic regression (MLR) in modeling the impact of e-government services on reduction status of corruption. In this regard, the MLR model was performed using a maximum likelihood estimation method on the data set collected to find the parameter estimates of the model describing the relationship between the explanatory and the outcome variables and determine the significance of the explanatory variables that contribute significantly to the reduction status of corruption in the area under study. The study adopted both qualitative and quantitative approaches to collect data from 381 respondents from the target population of 8041 using Solvin’s formula for sample size calculation. Data were collected using questionnaire and interview schedule techniques and analyzed using SPSS-23. In this analysis, the results show that on the total of eleven independent variables, the explanatory variables such as age, income, ownership of the devices used in applying for the local government services and the advice types were dropped from the training set of explanatory variables that contribute significantly to the reduction of corruption in the area under study. In model selection that overall fits well the data, the obtained variables that contributed significantly to the outcome variable were education, e-government services’ use status, cost of accessing e-government services and the e-government services types delivery. The parameters estimate of the selected model revealed that the variables that best predicted the probability of reducing corruption once the e-government services are delivered online were education, status of using e-government services, types of e-government services delivery online while the cost of accessing the e-government services decreased the logit (the probability) of reducing corruption. The main challenges faced by users of e-government services were the cost given while applying to these e-government services is high and lack of enough skills to cope with technological usage. Finally the study recommended that local leaders in the area under study should strengthen the online system in delivering local services to people, educate people to be aware about the use of e-government services since the more a person is educated the more is attempting to use e-government services and then reduce the cost of using e-government services while applying to the local services since this has been the only explanatory variable that decreased the logit of reducing corruption in the study area.  Article visualizations:<img src="/-counters-/edu_01/0790/a.php" alt="Hit counter" />

Highlights

1.1 Background information Corruption refers to efforts to secure wealth or power through illegal ways for private gain at public expense; or embezzlement of public funds, theft of the public assets, a misuse of public power for private benefit (Obayelu, 2007)
We found that the predictors that increased the logit of the outcome variable are Education, e-government services use status and e-government service types respectively and the predictor variable that could decrease the logit of the outcome variable was the cost of accessing e-government services(coded as “coastofacc”) and no explanatory variable had been found to no have impact on the reduction of corruption by the use of e-government services
We modeled the impact of e-government services on the reduction of corruption in Nyamasheke District, using multinomial logistic regression (MLR) model on eleven independent variables that we believed they had positive or negative impact on this outcome variable

Summary

Introduction

1.1 Background information Corruption refers to efforts to secure wealth or power through illegal ways for private gain at public expense; or embezzlement of public funds, theft of the public assets, a misuse of public power for private benefit (Obayelu, 2007). It is the global problem, or a common phenomenon found in the developing countries and societies, and in the developed world such as United States of America, Europe, South Korean, Japan, and Australia to name but a few regardless of their economic status. It points out that corruption has implications for social welfare by affecting the distribution of income and assets and unemployment, the environment and health

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