title: How to improve effectiveness of anti-corruption expertise: Public procurement case
metadata.name: dc.contributor.author
metadata.value: Ivanov, A.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2017-06-03T12:21:46Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2017-06-03T12:21:46Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2015
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/6433
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: 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.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: Research has been conducted with financial support as part of the project “Support of Research Projects of Graduate School of Management SPbU Academic Staff” (project No. 16.23.1844.2015)
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: en
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: Graduate School of Management, St. Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Working Papers;#26(E)-2015
metadata.lang: -
metadata.name: dc.subject
metadata.value: public procurement
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: corruption
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: anti-corruption expertise
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: the Principal-agent model
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: quasi-corruption
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: linear scoring rule
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: How to improve effectiveness of anti-corruption expertise: Public procurement case
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Working Paper
metadata.lang: en_GB
resources.filename: 26_WP 2015 Ivanov.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/6433/1/26_WP%202015%20Ivanov.pdf
resources.format: Adobe PDF
resources.size: 797,97 kB