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<article article-type="research-article" dtd-version="1.3" 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" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">mir</journal-id><journal-title-group><journal-title xml:lang="ru">МИР (Модернизация. Инновации. Развитие)</journal-title><trans-title-group xml:lang="en"><trans-title>MIR (Modernization. Innovation. Research)</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2079-4665</issn><issn pub-type="epub">2411-796X</issn><publisher><publisher-name>School of Public Administration</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18184/2079-4665.2023.14.3.361-379</article-id><article-id custom-type="edn" pub-id-type="custom">eggmya</article-id><article-id custom-type="elpub" pub-id-type="custom">mir-1530</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>МОДЕРНИЗАЦИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>MODERNIZATION</subject></subj-group></article-categories><title-group><article-title>Факторы обеспечения экономической безопасности депрессивных регионов в условиях цифровой трансформации</article-title><trans-title-group xml:lang="en"><trans-title>Factors for ensuring the economic security of depressed regions in the context of digital transformation</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2369-6293</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Долганова</surname><given-names>Я. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Dolganova</surname><given-names>Ia. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Долганова Яна Алексеевна, кандидат экономических наук, старший научный сотрудник научно-исследовательской лаборатории «Центр комплексного изучения проблем региональной безопасности»</p><p>Researcher ID: IWU-4331-2023</p><p>Псков</p></bio><bio xml:lang="en"><p>Iana A. Dolganova, Candidate of Economic Sciences, Senior Researcher, Research Laboratory “Center for Comprehensive Study of Regional Security Problems”</p><p>Researcher ID: IWU-4331-2023</p><p>Pskov</p></bio><email xlink:type="simple">dolganova.y.a@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0941-6358</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Бабкин</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Babkin</surname><given-names>A. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Бабкин Александр Васильевич, доктор экономических наук, главный научный сотрудник научно-исследовательской лаборатории «Центр комплексного изучения проблем региональной безопасности»</p><p>Researcher ID: V-1094-2019</p><p>Псков</p></bio><bio xml:lang="en"><p>Alexander V. Babkin, Doctor of Economic Sciences, Chief Researcher, Research Laboratory“Center for Comprehensive Study of Regional Security Problems”</p><p>Researcher ID: V-1094-2019</p><p>Pskov</p></bio><email xlink:type="simple">al-vas@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Псковский государственный университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Pskov State University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>12</day><month>10</month><year>2023</year></pub-date><volume>14</volume><issue>3</issue><fpage>361</fpage><lpage>379</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Долганова Я.А., Бабкин А.В., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Долганова Я.А., Бабкин А.В.</copyright-holder><copyright-holder xml:lang="en">Dolganova I.A., Babkin A.A.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.mir-nayka.com/jour/article/view/1530">https://www.mir-nayka.com/jour/article/view/1530</self-uri><abstract><p>Цель работы – определение факторов, оказывающих как положительное, так и отрицательное влияние на экономическую безопасность депрессивных регионов.</p><sec><title>Методы</title><p>Методы. Применены методы статистического анализа и рейтинговой оценки при определении экономической безопасности депрессивных регионов, а также кластерный анализ, с целью выделения у регионов схожих тенденций, на основе которых возможно выделить факторы, оказывающие влияние на экономическую безопасность. Исследование основано на анализе статистических данных ЕМИСС, а также на данных рейтингового агентства «Эксперт РА». Расчеты выполнены с помощью программ Microsoft Office Excel 2016 (вычисление значений результирующих индикаторов экономической безопасности депрессивных регионов) и IBM SPSS Statistics 2019 (проведение кластерного анализа).</p></sec><sec><title>Результаты работы</title><p>Результаты работы. Проведена оценка экономической безопасности депрессивных регионов. Выявлено, что у всех регионов прослеживаются проблемы с финансовой устойчивостью и низким уровнем развития внешнеэкономической деятельности. Однако по ряду социально-экономических показателей Республика Алтай, Псковская область, Республика Калмыкия достигают значений выше среднероссийских, в то же время, у них по-прежнему остаются низкими показатели среднедушевых денежных доходов. На основе проведенного кластерного анализа регионов определен ряд факторов, влияющих на экономическую безопасность депрессивных  регионов.</p></sec><sec><title>Выводы</title><p>Выводы. Для каждого кластера выявлены ключевые факторы, влияющие на экономическую безопасность. Процессы цифровой трансформации, при условии их качественного внедрения, становятся положительным фактором обеспечения экономической безопасности для регионов, занимающих низкие позиции по социально-экономическому развитию. Первоочередными факторами обеспечения экономической безопасности для регионов, составляющих другой кластер, являются качественные изменения, направленные на экономический рост региона.</p></sec></abstract><trans-abstract xml:lang="en"><sec><title>Purpose</title><p>Purpose: of the study is to determine the factors that have both a positive and a negative impact on the economic security of depressed regions.</p></sec><sec><title>Methods</title><p>Methods: of statistical analysis and ratio assessment were applied in determining the economic security of depressed regions, as well as cluster analysis, in order to identify similar trends in regions, on the basis of which it is possible to identify factors that affect economic security. The study is based on the analysis of statistical data from EMISS, as well as data from the Expert RA rating agency. The calculations were performed using the following programs: Microsoft Office Excel 2016 (calculation of the values of the resulting indicators of economic security of depressed regions) and IBM SPSS Statistics 2019 (carrying out cluster analysis).</p></sec><sec><title>Results</title><p>Results: an assessment of the economic security of depressed regions was carried out. It was revealed that all regions have problems with financial stability and a low level of development of foreign economic activity. However, for a number of socio-economic indicators, the Altai Republic, Pskov Region, and Kalmykia Republic reach values above the Russian average, but the indicators of average per capita cash income still remain low. Based on the cluster analysis of regions, a number of factors influencing the economic security of depressed regions have been identified.</p><p>Conclusions and Relevance: for each cluster, key factors influencing economic security have been identified. The processes of digital transformation, subject to their high-quality implementation, become a positive factor in ensuring economic security for regions that occupy low positions in socio-economic development. The primary factors for ensuring economic security for regions that make up another cluster are qualitative changes aimed at the economic growth of the region.</p></sec></trans-abstract><kwd-group xml:lang="en"><kwd>depressed region</kwd><kwd>economic security of the region</kwd><kwd>digital transformation</kwd><kwd>conditions for ensuring economic security</kwd><kwd>features of digitalization of depressed regions</kwd><kwd>indicators of economic security of regions</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">РНФ (Грант №.23-28-01226) «Формирование интеллектуального кибер-физического технополиса депрессивного района на основе системообразующего инновационно-активного кластера для повышения экономической безопасности региона».</funding-statement><funding-statement xml:lang="en">Russian Science Foundation 23-28-01226 “Formation of an intellectual cyber-physical technopolis of the depressed area based on the system – forming innovation-active cluster to improve the economic security of the region”.</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Безденежных Т.И., Печерица Е.В., Шарафанова Е.Е. 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