How to improve effectiveness of anti-corruption expertise: Public procurement case

A. Ivanov

No 6433, Working Papers from Graduate School of Management, St. Petersburg State University

Abstract: The paper proves a necessity of changing the approach to anti-corruption expertise. The analysis of opportunities for mala fide behavior of agents and evaluation of incentives for their bona fide behavior must be supplemented by the assessment of proposed regulation quality. In the paper two different algorithms of the extended anti-corruption expertise have been introduced: first algorithm is applied to the new regulation tool, second one - to the regulation tool which has been used in the past and some information on agents' reaction is available. In the both cases the expertise starts from the modelling of society's preferences and comparing them with the principal’s preferences which are modelled on the base of proposed regulation. The relationship between proposed algorithms of anti-corruption expertise and the typology of principal-agent models, based on the assumptions of bona /mala fides of the Principal and the Agent, is underlined. The algorithm of extended anti-corruption expertise of first type is applied to the two legal instruments regulating the determining of a winner in the tender. The reference to the implementation of second type algorithm for the anti-corruption expertise of applying the price English auction in public procurement is supplied.

Keywords: public procurement; corruption; anti-corruption expertise; the Principal-agent model; quasi-corruption; linear scoring rule (search for similar items in EconPapers)
Date: 2015
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://dspace.spbu.ru/handle/11701/6433
Our link check indicates that this URL is bad, the error code is: 503 Service Unavailable

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:sps:wpaper:6433

Access Statistics for this paper

More papers in Working Papers from Graduate School of Management, St. Petersburg State University Contact information at EDIRC.
Bibliographic data for series maintained by Lena Manaeva ( this e-mail address is bad, please contact ).