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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.4 20241031//EN" "https://jats.nlm.nih.gov/archiving/1.4/JATS-archive-oasis-article1-4-mathml3.dtd">
<article xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" article-type="research-article" xml:lang="ru"><front><journal-meta><issn publication-format="print">2072-6414</issn><issn publication-format="electronic">2411-1406</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.17059/ekon.reg.2023-4-24</article-id><title-group xml:lang="en"><article-title>Monitoring System for Regional Financial Security</article-title></title-group><title-group xml:lang="ru"><article-title>Организация системы мониторинга финансовой безопасности региона</article-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-5439-5912</contrib-id><name-alternatives><name xml:lang="en"><surname>Karanina </surname><given-names>Elena V. </given-names></name><name xml:lang="ru"><surname>Каранина</surname><given-names>Елена Валерьевна </given-names></name></name-alternatives><email>karanina@vyatsu.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9891-2993</contrib-id><name-alternatives><name xml:lang="en"><surname>Kyzyurov </surname><given-names>Мihail S.</given-names></name><name xml:lang="ru"><surname>Кызьюров </surname><given-names>Михаил Станиславович</given-names></name></name-alternatives><email>mkyzyurov@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Vyatka State University</institution></aff><aff><institution xml:lang="ru">Вятский государственный университет</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2023-12-19" publication-format="electronic"/><volume>19</volume><issue>4</issue><fpage>1275</fpage><lpage>1292</lpage><history><date date-type="received" iso-8601-date="2022-05-27"/><date date-type="accepted" iso-8601-date="2023-09-19"/></history><permissions><copyright-statement xml:lang="en">Copyright © 2023 Elena V.  Karanina, Мihail S. Kyzyurov</copyright-statement><copyright-statement xml:lang="ru">Copyright © 2023 Елена Валерьевна Каранина, Михаил Станиславович Кызьюров</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="en">Elena V.  Karanina, Мihail S. Kyzyurov</copyright-holder><copyright-holder xml:lang="ru">Елена Валерьевна Каранина, Михаил Станиславович Кызьюров</copyright-holder><ali:free_to_read/><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/"><license-p>CC BY 4.0</license-p></license></permissions><self-uri content-type="html" mimetype="text/html" xlink:title="article webpage" xlink:href="https://www.economyofregions.org/ojs/index.php/er/article/view/182">https://www.economyofregions.org/ojs/index.php/er/article/view/182</self-uri><self-uri content-type="pdf" mimetype="application/pdf" xlink:title="article pdf" xlink:href="https://www.economyofregions.org/ojs/index.php/er/article/download/182/267">https://www.economyofregions.org/ojs/index.php/er/article/download/182/267</self-uri><abstract xml:lang="en"><p>A monitoring system for regional financial security based on a key set of indicators can be used to timely and promptly identify, analyse and assess security threats at the meso-level. The study hypothesises that the implementation of the proposed monitoring mechanism will improve detection, analysis and diagnosis of threats to financial security across regions. This can be achieved through the synthesis of an indicative approach, ranking method, minimax approach and normalisation function. Additionally, the system can be used to more accurately determine the security zone and assess the influence of various factors on each indicator. The article presents a methodology for assessing regional financial security based on a set of indicators characterising regional financial systems and their budget, investment, foreign economic components. Statistics from the Federal State Statistics Service, Bank of Russia, Treasury of Russia, customs and tax authorities were analysed. The indicative approach, ranking method, minimax approach, and normalisation function were synthesised to transform original data into a hundred-point scale, determine threshold values and identify the most significant threats to financial security in the field of foreign economic activity, monetary policy, financial stability and enterprise performance. The testing of the proposed methodology in Kirov oblast using ten indicators revealed several threats to the region’s financial security. Dynamics of indicators of Kirov oblast were compared with those of other regions of the Volga Federal District. The developed approach to organising financial security monitoring and recommended tools can be used by public and administrative authorities for identifying, analysing, assessing and predicting threats to financial security of meso-level systems. Future studies can increase the number of indicators for examining financial security.</p></abstract><abstract xml:lang="ru"><p>Система мониторинга финансовой безопасности региона по ключевому набору индикаторов позволяет своевременно и оперативно выявлять, анализировать, оценивать угрозы безопасности финансовой системы мезоуровня. Гипотеза исследования состоит в предположении, что использование предложенного механизма мониторинга на практике позволит повысить эффективность мер по обнаружению, анализу и диагностике уровня угроз финансовой безопасности в разрезе регионов за счет синтеза индикативного подхода, метода ранжирования, минимаксного метода и функции нормировки более точно определить зону безопасности и оценить влияние факторов в разрезе каждого индикатора. Предложена методика, позволяющая оценить уровень финансовой безопасности региона на основе комплекса индикаторов, характеризующих состояние региональной финансовой сис¬темы и ее наиболее значимых составляющих: бюджетной, инвестиционной, внешнеэкономической. Исходными данными послужили материалы статистики Росстата, Банка России, Федерального казначейства России, таможенных и налоговых органов. Синтез индикативного подхода, метода ранжирования, минимаксного подхода и использование нормирующей функции позволили привести фактические значения индикаторов к единой стобалльной шкале, определить пороговые значения и выявить наиболее существенные угрозы финансовой безопасности в сфере внешнеэкономической деятельности, денежно-кредитной политики, финансовой устойчивости и эффективности деятельности предприятий. Предложенный подход к организации мониторинга апробирован на примере оценки угроз финансовой системе Кировской области с помощью десяти индикаторов. В результате были выявлены угрозы финансовой безопасности Кировской области по ряду индикаторов, представлен сравнительный анализ динамики индикаторов на примере регионов ПФО. Предложенный подход к организации мониторинга финансовой безопасности и перечень рекомендуемых инструментов могут быть использованы органами государственной власти и управления в ходе деятельности, направленной на идентификацию, анализ, оценку и прогнозирование угроз финансовой безопасности систем мезоуровня. Направление будущих исследований состоит в возможном расширении анализируемых индикаторов в разрезе проекций финансовой безопасности.</p></abstract><kwd-group xml:lang="en"><kwd>finance, financial security, monitoring, threats, indicators, region, diagnostics, monitoring tools, Kirov oblast, mechanism</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>финансы, финансовая безопасность, мониторинг, угрозы, индикаторы, регион, диагностика, инструменты мониторинга, Кировская область, механизм</kwd></kwd-group></article-meta></front><body/><back><ack xml:lang="en"><p>The article has been prepared with the support of the grant of the President of the Russian Federation NSh-5187.2022.2 for state support of leading scientific schools of the Russian Federation, the project “Development and substantiation of the concept, integrated model of resilience diagnostics of risks and threats to the security of regional ecosystems and technology of its application based on a digital twin”.</p></ack><ack xml:lang="ru"><p>Статья подготовлена при поддержке гранта Президента Российской Федерации НШ-5187.2022.2 для государственной поддержки ведущих научных школ Российской Федерации в рамках темы исследования «Разработка и обоснование концепции, комплексной модели резилиенс-диагностики рисков и угроз безопасности региональных экосистем и технологии ее применения на основе цифрового двойника».</p></ack><ref-list><ref id="en-ref1"><label>1</label><mixed-citation xml:lang="en">Adrian, T., Covitz, D., &amp; Liang, N. 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