title: ÐÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸Ðµ ÑÐ¿ÐµÑÐ¸Ð°Ð»ÑÐ½ÑÑ ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ¸Ñ Ð·Ð½Ð°Ð½Ð¸Ð¹ Ð¿ÑÐ¸ Ð²ÑÑÐ²Ð»ÐµÐ½Ð¸Ð¸ Ð¿ÑÐµÑÑÑÐ¿Ð»ÐµÐ½Ð¸Ð¹ Ð² ÑÐ¸ÑÑÐµÐ¼Ðµ Ð³Ð¾ÑÑÐ´Ð°ÑÑÑÐ²ÐµÐ½Ð½ÑÑ Ð·Ð°ÐºÑÐ¿Ð¾Ðº
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° ÑÐ¿ÐµÑÐ¸Ð°Ð»Ð¸ÑÑÐ°
titleType: Subtitle
title: The use of special economic knowledge in the detection of crimes in the public procurement system
Creators: name: ÐÐ¾Ð¿Ð¾Ð², ÐÐ»Ð°Ð´Ð¸ÑÐ»Ð°Ð²
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2023
Subjects: Ð³Ð¾ÑÑÐ´Ð°ÑÑÑÐ²ÐµÐ½Ð½ÑÐµ Ð·Ð°ÐºÑÐ¿ÐºÐ¸
ÑÐµÐ´ÐµÑÐ°Ð»ÑÐ½Ð°Ñ Ð°Ð½ÑÐ¸Ð¼Ð¾Ð½Ð¾Ð¿Ð¾Ð»ÑÐ½Ð°Ñ ÑÐ»ÑÐ¶Ð±Ð°
ÑÑÐ´ÐµÐ±Ð½Ð°Ñ ÑÐºÐ¾Ð½Ð¾Ð¼Ð¸ÑÐµÑÐºÐ°Ñ ÑÐºÑÐ¿ÐµÑÑÐ¸Ð·Ð°
Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ð¾Ð±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ñ Ð¿ÑÐµÑÑÑÐ¿Ð»ÐµÐ½Ð¸Ð¹
Ð¸Ð½Ð´Ð¸ÐºÐ°ÑÐ¾ÑÑ Ð¿ÑÐµÑÑÑÐ¿Ð»ÐµÐ½Ð¸Ñ
judicial financial and economic expertise
pharmaceutical industry
capital market method
multiplier
company financial state

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description: The subject of the work is public procurement. The aim of the work is to develop an algorithm for detecting corrupt and criminal bidding in the public procurement system. Research methods: theoretical and practical. Scope of application of the results: organizations involved in the supply and work with public procurement. As a result of the work , the following tasks were solved: - to study the regulatory framework for public procurement; - analysis of the selected database of government contracts to detect indicators; - develop a system of indicators for detecting suspicious purchases; - an algorithm has been developed to check public procurement for suspicious complication to limit competition; - the approbation of the developed algorithm was carried out; - recommendations for improving the public procurement system are given. The importance of countering the restriction of competition in the public procurement system is revealed. The conclusion of the study: indicators have been identified by which it is possible to detect methods limiting competition. Data analysis and processing was carried out using the MS Office package.