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Examining the global influence of e-governance on corruption: a panel data analysis

Author

Listed:
  • Dina Ali Seiam

    (October University for Modern Sciences and Arts)

  • Doaa Salman

    (October University for Modern Sciences and Arts)

Abstract

This study analyzes the impact of e-governance on corruption using a panel dataset comprising 110 countries over the period from 2003 to 2021. The specific focus of the research is on the relationship between the E-government Development Index (EGDI) and its four components, namely the Online Service Index (OSI), Human Capital Index (HCI), Telecommunication Infrastructure Index (TII), and E-Participation Index (EPI), and their effects on the Corruption Perceptions Index (CPI). To examine these relationships, the empirical analysis employs a fixed effect model, which is a suitable statistical approach for panel data analysis. The findings of the study reveal significant negative associations between the EGDI, OSI, HCI, and TII with corruption levels across countries worldwide. This implies that higher levels of e-government development, online service provision, human capital, and telecommunication infrastructure are associated with lower corruption perceptions. However, the EPI does not demonstrate a statistically significant relationship with the CPI. Based on these results, the paper provides recommendations for governments to prioritize two key areas. Firstly, governments should invest in the development of e-government infrastructure to enhance transparency, accountability, and efficiency in public administration, thereby reducing corruption. Secondly, initiatives aimed at enhancing public awareness and understanding of e-governance should be prioritized, as they contribute to increased citizen engagement and participation, which can ultimately lead to improved governance practices and reduced corruption levels.

Suggested Citation

  • Dina Ali Seiam & Doaa Salman, 2024. "Examining the global influence of e-governance on corruption: a panel data analysis," Future Business Journal, Springer, vol. 10(1), pages 1-13, December.
    • Handle: RePEc:spr:futbus:v:10:y:2024:i:1:d:10.1186_s43093-024-00319-3
    DOI: 10.1186/s43093-024-00319-3
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    References listed on IDEAS

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    1. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    2. Cheng Hsiao, 2007. "Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 1-22, May.
    3. Jonas Linde & Martin Karlsson, 2013. "The Dictator's New Clothes: The Relationship Between E-Participation and Quality of Government in Non-Democratic Regimes," International Journal of Public Administration, Taylor & Francis Journals, vol. 36(4), pages 269-281.
    4. A. Mouna & B. Nedra & Mouakhar Khaireddine, 2020. "International Comparative Evidence of E-Government Success and Economic Growth: Technology Adoption as an Anti-Corruption Tool," Post-Print hal-04457137, HAL.
    5. Cheng Hsiao, 2007. "Rejoinder on: Panel data analysis—advantages and challenges," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 16(1), pages 56-57, May.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    E-government; Corruption; Online service index; Human capital index; Telecommunication infrastructure index; E-participation index; Fixed effect model;
    All these keywords.

    JEL classification:

    • D73 - Microeconomics - - Analysis of Collective Decision-Making - - - Bureaucracy; Administrative Processes in Public Organizations; Corruption
    • G3 - Financial Economics - - Corporate Finance and Governance
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy

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