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Mitigating Corruption in Sub-Saharan Africa

Does Heterogeneity in Corruption Levels Matter

Bibliographic Data

ID6112270
AuthorsGeorge Babington Amegavi (0000-0002-9165-1954, The University of Adelaide, corresponding author), Abigail Quarshie (Africa Centre for Energy Policy), James Kwame Mensah (0000-0003-1533-4903, University of Ghana Business School)
Year2022
Volume24
Issue2
Pages229-242
Publication date2022-03-04
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePublic Integrity (JOURNAL)
Journal identifiersISSN: 1558-0989 • E-ISSN: 1099-9922
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/10999922.2021.1917171
OpenAlexW3161683756
LanguageEN
Citations received5
References cited26

In line with Africa’s Agenda 2063 goal 12 of improving governance and building accountable institutions, this article contributes to the literature by examining corruption determinants using survey data from the Afrobarometer. Quantile regression estimates across 31 sub-Saharan African countries show that the effects of the determinants of corruption are heterogeneous across the quantiles. We observe that press freedom, parliamentary oversight, and human development have a reducing effect on corruption, whereas government size, ethnic fractionalization, and bureaucratic quality appear to exert a significant positive effect on corruption. Given the heterogeneity in findings, the “one size fits all” strategy in fighting corruption could be inadequate in mitigating corruption in SSA

Bureaucracy · Corporate governance · Development economics · Econometrics · Economics · Ethnic group · Fractionalization · Language change · Political science · Politics · Quantile regression · Corruption and Economic Development · Culture, Economy, and Development Studies · Economic Growth and Development · Law

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Unique citing works5
Citations per year2.5
Citation span2024 - 2025 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 5

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