EconPapers    
Economics at your fingertips  
 

E-government and corruption in an emerging country: New perspectives from a spatiotemporal approach

Trung Chinh Dang, Huong Vu Van and Dao Le Van

International Review of Economics & Finance, 2025, vol. 100, issue C

Abstract: The role of digital government in combating corruption has attracted significant attention, yet its spatial and temporal impacts remain insufficiently examined. This study employs geographically and temporally weighted regression (GTWR) estimations to analyze the influence of e-government on corruption across various regions and timeframes in Vietnam. Grounded in social contract theory and utilizing data from 2018 to 2022, the findings reveal that e-government generally reduces corruption, albeit with significant regional disparities. Notably, while full e-government adoption demonstrates a negative effect on corruption, partial implementation has a positive correlation with corruption levels. These results underscore the need for region-specific e-government enhancements to maximize its effectiveness in combating corruption.

Keywords: E-Government; Corruption; Social contract theory; Spatio-temporal effects (search for similar items in EconPapers)
JEL-codes: O17 O38 O43 (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1059056025002746
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:reveco:v:100:y:2025:i:c:s1059056025002746

DOI: 10.1016/j.iref.2025.104111

Access Statistics for this article

International Review of Economics & Finance is currently edited by H. Beladi and C. Chen

More articles in International Review of Economics & Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-05-20
Handle: RePEc:eee:reveco:v:100:y:2025:i:c:s1059056025002746