Risk-based assessment model of the state and municipal procurement system
Every year, the volumes of funding in the sphere of provision of state and municipal demand increases significantly. Achieving the effectiveness of government contracts is one of the main and “eternal” problems of public funds management. For public procurement to be effective, it is necessary to me...
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2019-01-01
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doaj-221000c906354324b31f4c8680453d0a2021-04-02T14:43:41ZengEDP SciencesE3S Web of Conferences2267-12422019-01-011100209010.1051/e3sconf/201911002090e3sconf_spbwosce2019_02090Risk-based assessment model of the state and municipal procurement systemKaranina Elena0Kartavyh Ksenia1Vyatka State UniversityVyatka State UniversityEvery year, the volumes of funding in the sphere of provision of state and municipal demand increases significantly. Achieving the effectiveness of government contracts is one of the main and “eternal” problems of public funds management. For public procurement to be effective, it is necessary to meet the needs of the relevant actors, i.e. society, the state, and the private sector. In order to make a qualitative forecast of the results of public procurement placement, the development and implementation of measures aimed at improving the public procurement system, it is necessary to assess the current situation of manifestation of risks arising from the procurement of goods, works and services for state and municipal needs. For this purpose, a risk-based model for assessing the system of state and municipal procurement has been developed, which allows disclosing the nature of the risks of the procurement cycle fully and identifying a case scenario for choosing a way to loss minimization.https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/36/e3sconf_spbwosce2019_02090.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Karanina Elena Kartavyh Ksenia |
spellingShingle |
Karanina Elena Kartavyh Ksenia Risk-based assessment model of the state and municipal procurement system E3S Web of Conferences |
author_facet |
Karanina Elena Kartavyh Ksenia |
author_sort |
Karanina Elena |
title |
Risk-based assessment model of the state and municipal procurement system |
title_short |
Risk-based assessment model of the state and municipal procurement system |
title_full |
Risk-based assessment model of the state and municipal procurement system |
title_fullStr |
Risk-based assessment model of the state and municipal procurement system |
title_full_unstemmed |
Risk-based assessment model of the state and municipal procurement system |
title_sort |
risk-based assessment model of the state and municipal procurement system |
publisher |
EDP Sciences |
series |
E3S Web of Conferences |
issn |
2267-1242 |
publishDate |
2019-01-01 |
description |
Every year, the volumes of funding in the sphere of provision of state and municipal demand increases significantly. Achieving the effectiveness of government contracts is one of the main and “eternal” problems of public funds management. For public procurement to be effective, it is necessary to meet the needs of the relevant actors, i.e. society, the state, and the private sector. In order to make a qualitative forecast of the results of public procurement placement, the development and implementation of measures aimed at improving the public procurement system, it is necessary to assess the current situation of manifestation of risks arising from the procurement of goods, works and services for state and municipal needs. For this purpose, a risk-based model for assessing the system of state and municipal procurement has been developed, which allows disclosing the nature of the risks of the procurement cycle fully and identifying a case scenario for choosing a way to loss minimization. |
url |
https://www.e3s-conferences.org/articles/e3sconf/pdf/2019/36/e3sconf_spbwosce2019_02090.pdf |
work_keys_str_mv |
AT karaninaelena riskbasedassessmentmodelofthestateandmunicipalprocurementsystem AT kartavyhksenia riskbasedassessmentmodelofthestateandmunicipalprocurementsystem |
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1721561579492737024 |