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NHH Brage
Research . 2015
Data sources: NHH Brage
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International Review of Law and Economics
Article . 2017 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
SSRN Electronic Journal
Article . 2015 . Peer-reviewed
Data sources: Crossref
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An Economic Analysis of Debarment

Authors: Auriol, Emmanuelle; Soreide, Tina;

An Economic Analysis of Debarment

Abstract

With a view to reducing the consequences of corruption in public procurement, many governments have introduced debarment of suppliers found guilty of corruption and some other forms of crime. This paper explores the market effects of debarment on public procurement. Debarment is found to make little difference in markets with high competition, while in markets with low competition it may deter corruption as long as firms value public procurement contracts in the future and there is a certain risk of being detected in corruption. On the other hand, debarment -- when it works -- has an anti-competitive effect, and this effect will contribute to facilitate collusion between suppliers. Debarment may work as a tool against collusion, but only if targeting one firm at the time (such as a ring-leader or the specific beneficiary when the collusion is detected) -- and not all the members of a cartel. If designed with an understanding of the market mechanisms at play, debarment can deter both collusion and corruption, thus improving the results of public procurement. If so, most current debarment regimes need modification.

Countries
Norway, France
Keywords

debarment, 330, Debarment; Corruption; Collusion; Procurement, corruption, collusion, procurement, B- ECONOMIE ET FINANCE, jel: jel:K42, jel: jel:L41, jel: jel:K23, jel: jel:H57, jel: jel:K21

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    9
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Average
Green
bronze