Impact of E-government Development on the Level of Corruption: Measuring the Effects of Related Indices in Time and Dimensions

Issue: 2/2018

Jolana Volejníková

Faculty of Economics and Administration, University of Pardubice, Studentská 84, 532 10 Pardubice, Czech Republic,

Martin Lněnička

Department of System Engineering and Informatics, Faculty of Economics and Administration, University of Pardubice, Studentská 84, 53210 Pardubice,

Renáta Máchová

Department of System Engineering and Informatics, Faculty of Economics and Administration, University of Pardubice, Studentská 84, 53210 Pardubice,

E-government is recognized as a tool for improving transparency and openness in the public sector and for combatting corruption. Understanding the relationship between e-government development and the level of corruption would allow for a more effective leveraging of related projects in anti-corruption efforts. This paper examines the impact of e-government development on the level of corruption in the context of economic perspective. In contrast to previous studies, this empirical relationship is measured across sub-indices (dimensions) of related indices between 2002 and 2016. The results show that higher levels of e-government development are related to lower levels of corruption. The three most important dimensions found are the environment sub-index, which assesses the extent to which a country’s market conditions and regulatory framework support entrepreneurship, innovation, and ICT development; the usage sub-index, which assesses the level of ICT adoption by a society’s main stakeholders; and the telecommunication infrastructure sub-index measuring a country’s ICT infra-structure capacity. Following these findings, certain ways of influencing of the level of corruption by a stimulation of concrete e-government development dimensions can be drawn. This is important especially in the time of a financial crisis and its consequences, which are also discussed in this paper.

DOI: 10.2478/revecp-2018-0006
JEL: C43, D73, H11, L86, O38
Keywords: correlation analysis, corruption, dimensions, e-government development, indices, regression models

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