An Empirical Analysis of The Relationship Between EGovernment and Corruption in Somalia

Abstract. This study examines the relationship between e-government implementation and corruption levels in Somalia from 2006 to 2022. Using time series data and econometric
techniques such as the autoregressive distributed lag (ARDL) model, augmented DickeyFuller (ADF) unit root test, and diagnostic tests, the authors investigate the impact of egovernment on corruption. The findings reveal a long-run cointegration between egovernment and corruption, with e-government having a negative impact on corruption levels.
However, the short-run relationship appears to be positive and statistically insignificant. The study highlights the potential of e-government in combating corruption and improving
transparency in Somalia, but also acknowledges the challenges and limitations of relying solely on digital solutions. The authors recommend that Somalia prioritize e-government
implementation as part of a comprehensive anti-corruption strategy, while also addressing broader institutional, cultural, and socio-economic factors that contribute to corruption. The
study contributes to the growing body of literature on e-government and corruption, providing new insights from the Somali context and underlining the need for further research on the complex interplay between technology, governance, and social change.