The Influence of Electronic Participation and Economic Level on Corruption Perception: Country Data Analysis

Abstract

Using data from 2020 and 2022 reports of the United Nations E-Government
Knowledge Base, Transparency International, and the World Bank, this study
developed and tested an empirical model using logistic regression analysis.
Specifically, the study tested the hypotheses on the perceived influence of
electronic participation and economic level on a given country’s level of
corruption against its null hypothesis. The study results affirm that corruption
decreases as e-participation increases. Moreover, the model tested the penalty
imposed on the economic level of a country's corruption perception index, with
the results indicating a drop in the corruption index for non-highly developed
countries. Implicitly, promoting e-participation is one of the ways of reducing
corruption at the country. However, the biggest challenge to e-participation
include the factor variables of cultural orientations among others. Overall, the
research paper argues that promoting e-participation has a direct impact on
the success of anti-corruption efforts as attested by its empirical evidence on
the relationship between e-participation and corruption perception considering
the economic status of countries.

Keywords: e-participation, corruption, logistic regression analysis, economic development