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

Mweruli Fidele Tubanambazi, Eric Ruvuna

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:

Hit counter


Keywords


modeling, multinomial regression model, e-government, corruption, Rwanda

Full Text:

PDF

References


Alshehri, M. and Drew, S. (2010). Implementation of E-Government: Advantages and Challenges. Retrieved from: https://core.ac.uk/download/pdf/143886366.pdf.

Abdalla M. El-Habil (2012). An application on Multinomial logistic regression Model, vol. III N0.2 pp 271-291.

Anass Bayaga (2010). Multinomial logistic regression: Usage and Application in Risk Analysis, vol.5 No.2 Summer 2010.

Bakunzibake, P. and Klein, G. O. (2019). E-Government Implementation Process in Rwanda: Exploring Changes in a Socio-Technical Perspective. Business Systems Research. 10 (1), Pp53-73

Baniamin, H. M. (2015). Controlling Corruption through E-governance: Case Evidence from Bangladesh.

Ekiyor, H. A. (2009). Corruption in Local Government Administration: A Historical Summary as found in Local Government Administration in Nigeria: Old and New Vision.

Kim, S., Kim, H. J., & Lee, H. (2009). An Institutional analysis of an e-government system for anti-corruption: the case of OPEN. Government Information Quarterly, 26 (1), pp42–50. Retrieved from: https://www.sciencedirect.com/science/article/abs/pii/S0740624X08001172?via%3Dihub.

Kamal, M. M. and Themistocleous, M. (2009). Investigating Enterprise Application Integration Adoption in Local Government Authorities. Retrieved from: https://www.igi-global.com/chapter/investigating-enterprise-application-integration-adoption/21486.

Kevin, K. W. Calvin, C. Y. and Michael, C. L. (2016). User Adoption of Government to Employee Portal of Hong Kong Government. Retrieved from: https://www.igi-global.com/chapter/user-adoption-of-government-to-employee-portal-of-hong-kong-government/149076.

Kim, C. K. (2014). Anti-corruption initiatives and e-government: a cross-national study. Public Organizational Review, 14(3), Pp385-396. Retrieved from: https://link.springer.com/article/10.1007/s11115-013-0223-1.

KPMG International (2016). The Impact of Corruption: Tackling corruption could reap significant beneficent benefits for the South African economy.

Lupu, D. and Lazar, C. G. (2013). Influence of e-Government on the level of Corruption in Some EU and non-EU states. Procedia Economics and Finance, 20 (2015): Pp365-371.

Machova, R. Volejnikova, J. and Lnenicka, M. (2018). Impact of E-government on the Level of Corruption: Measuring the Effects of Related Indices in Time and Dimensions. Review of economic perspectives, 18 (2), Pp. 99-121.

Marquette, H. and Peiffer, C. (2015). Collective Action and Systemic Corruption. Retrieve from: https://ecpr.eu/Filestore/PaperProposal/b5944a31-85b6-4547-82b3-0d4a74910b07.pdf.

Mistry, J. J. and Jalal, A. (2018). An Empirical Analysis of the Relationship between E-Governance and Corruption. The International Journal of Digital Accounting Research, DOI: 10.4192/155-8517v12_6.

Obayelu, A. E. (2007). Effects of Corruption and Economic Reforms on Economic Growth and Development: Lessons from Nigeria.

Ojha, A., Palvia, S. and Gupta, M. P. (2018). A Model for impact of E-Government on Corruption: Exploring Theoretical Foundations.

Pulok, H. (2012). The Impact of Corruption on Economic Development of Bangladesh: Evidence on the Basis of an Extended Solow Model. Retrieved from: https://www.researchgate.net/publication/48376262.

Scott, W. R. (2005). Institutional Theory: Contributing to a theoretical Research Program: Retrieved from: https://www.researchgate.net/publication/265348080_Institutional_Theory_Contributing_to_a_Theoretical_Research_Program.

Shim, C. D. and Eom, H. T. (2008). E-Government and Anti-Corruption: Empirical Analysis of International Data. International Journal of Public administration. Retrieved from: http://www.informaworld.com/smpp/title~content=t713597261

Shirish, S. (2018). How e-government curbs Corruption? Retrieved from: https://www.hec.edu/en/knowledge/articles/how-e-government-curbs-corruption.

Thompson, D. F. (2018). Theories of Institutional Corruption: Annual Review of Political Science. Department of Government, Harvard University, USA. Retrieved from: https://www.annualreviews.org/doi/pdf/10.1146/annurev-polisci-120117-110316.

UN (2018). United Nations E-Government Survey: Gearing E-Government to Support Transformation towards Sustainable and Resilient Societies. Retrieved from: https://publicadministration.un.org/publications/content/PDFs/UN%20E-Government%20Survey%202018%20English.pdf.




DOI: http://dx.doi.org/10.46827/ejsss.v6i2.1036

Copyright (c) 2021 Mweruli Fidele Tubanambazi, Eric Ruvuna

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

The research works published in this journal are free to be accessed. They can be shared (copied and redistributed in any medium or format) and\or adapted (remixed, transformed, and built upon the material for any purpose, commercially and\or not commercially) under the following terms: attribution (appropriate credit must be given indicating original authors, research work name and publication name mentioning if changes were made) and without adding additional restrictions (without restricting others from doing anything the actual license permits). Authors retain the full copyright of their published research works and cannot revoke these freedoms as long as the license terms are followed.

Copyright © 2016 - 2023. European Journal Of Social Sciences Studies (ISSN 2501-8590) is a registered trademark of Open Access Publishing Group. All rights reserved.

This journal is a serial publication uniquely identified by an International Standard Serial Number (ISSN) serial number certificate issued by Romanian National Library. All the research works are uniquely identified by a CrossRef DOI digital object identifier supplied by indexing and repository platforms. All the research works published on this journal are meeting the Open Access Publishing requirements and standards formulated by Budapest Open Access Initiative (2002), the Bethesda Statement on Open Access Publishing (2003) and  Berlin Declaration on Open Access to Knowledge in the Sciences and Humanities (2003) and can be freely accessed, shared, modified, distributed and used in educational, commercial and non-commercial purposes under a Creative Commons Attribution 4.0 International License. Copyrights of the published research works are retained by authors.