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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">economyprom</journal-id><journal-title-group><journal-title xml:lang="ru">Экономика промышленности / Russian Journal of Industrial Economics</journal-title><trans-title-group xml:lang="en"><trans-title>Russian Journal of Industrial Economics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2072-1633</issn><issn pub-type="epub">2413-662X</issn><publisher><publisher-name>MISIS</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17073/2072-1633-2022-2-131-142</article-id><article-id custom-type="elpub" pub-id-type="custom">economyprom-1040</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>Теория и практика стратегирования</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Theory and practice of strategy</subject></subj-group></article-categories><title-group><article-title>Методология и инструментарий стратегирования социально-экономического развития региона</article-title><trans-title-group xml:lang="en"><trans-title>Methodology and instruments of strategizing of socio-economic development of the region</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-5447-3119</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Журавлев</surname><given-names>Д. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Zhuravlev</surname><given-names>D. M.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Журавлев Денис Максимович – д-р экон. наук, директор, Научно-исследовательский институт социальных систем</p><p>119234, Москва, Ленинские Горы, д. 1, стр. 61</p></bio><bio xml:lang="en"><p>Denis M. Zhuravlev – Dr.Sci. (Econ.), Director, Research Institute of Social Systems</p><p>1-61 Leninskie Gory, Moscow 119234</p></bio><email xlink:type="simple">info@niiss.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Троценко</surname><given-names>А. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Trotsenko</surname><given-names>A. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Троценко Анатолий Николаевич – д-р физ.-мат. наук, Научно-исследовательский институт социальных систем</p><p>119234, Москва, Ленинские Горы, д. 1, стр. 61</p></bio><bio xml:lang="en"><p>Anatoliy N. Trotsenko – Dr.Sci. (Phys.-Math.), Research Institute of Social Systems</p><p>1-61 Leninskie Gory, Moscow 119234</p></bio><email xlink:type="simple">info@niiss.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/0000-0001-7484-5848</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Чаадаев</surname><given-names>В. К.</given-names></name><name name-style="western" xml:lang="en"><surname>Chaadaev</surname><given-names>V. K.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Чаадаев Виталий Константинович – д-р экон. наук, доцент, Научно-исследовательский институт социальных систем</p><p>119234, Москва, Ленинские Горы, д. 1, стр. 61</p></bio><bio xml:lang="en"><p>Vitaliy K. Chaadaev – Dr.Sci. (Econ.), Associate Professor, Research Institute of Social Systems</p><p>1-61 Leninskie Gory, Moscow 119234</p></bio><email xlink:type="simple">vkchaadaev@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Московский государственный университет имени М.В. Ломоносова</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Lomonosov Moscow State University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>05</day><month>07</month><year>2022</year></pub-date><volume>15</volume><issue>2</issue><fpage>131</fpage><lpage>142</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Журавлев Д.М., Троценко А.Н., Чаадаев В.К., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Журавлев Д.М., Троценко А.Н., Чаадаев В.К.</copyright-holder><copyright-holder xml:lang="en">Zhuravlev D.M., Trotsenko A.N., Chaadaev V.K.</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://ecoprom.misis.ru/jour/article/view/1040">https://ecoprom.misis.ru/jour/article/view/1040</self-uri><abstract><p>Практика использования количественных моделей социально-экономического развития в задачах регионального стратегирования является общепринятым трендом. Однако значимость и сфера практического применения, функциональные возможности и, как следствие, эффективность использования подобных моделей в контексте задач стратегирования по-прежнему является вопросом дальнейших исследований. В статье рассматривается методология и инструментарий стратегирования, объединяющий процедуры анализа, прогнозирования и управления, в совокупности ориентированные на сбалансированную оценку и поиск приоритетных направлений развития в условиях нарастающих ресурсных ограничений и внешних угроз. Авторами разработана универсальная экономико-математическая модель функционирования социально-экономической системы региона, воспроизводящая динамику ключевых процессов. В качестве приложения предлагается инструментарий, в автоматизированном режиме формирующий и отрабатывающий прогнозные варианты опережающего развития. Использованная для моделирования алгоритмическая техника позволяет эффективно сократить размерность пространства переменных задачи поиска и анализа зависимостей индикаторов от факторов, исключив необходимость непосредственного учета трудно выделяемых взаимных зависимостей показателей исходной статистики и фактически сводя задачу к построению парных линейных регрессий индексов индикаторов от индексов факторов. Также решена задача оценки достижимости заявленных целевых ориентиров при подготовке долгосрочных целевых программ. Использование в качестве инструмента стратегирования регионального развития разработанного приложения позволит существенно облегчить поиск и обоснование значимых сфер экономической деятельности в условиях глобальной неопределенности и ограниченности ресурсов.</p></abstract><trans-abstract xml:lang="en"><p>The practice of using quantitative models of socio-economic development to fulfil the tasks of regional strategizing is a common trend. However, the significance and the area of practical application, functionality and, consequently, the effectiveness of applying such models in the context of strategizing is still a matter for further research. The article deals with the methodology and the instruments of strategizing which combines analysis, forecasting and management procedures oriented on the balanced assessment and search for the priority development trends in the conditions of increasing resource limitations and external threats. The authors developed a universal economic-mathematical model of functioning of the socio-economic system of the region. The system reproduces the dynamics of the key processes, the suggested instruments automatically form and work out the predictive options for advanced development. Algorithmic technique used for modelling provides the opportunity for effective reduction of dimension of the space of variables for the tasks of searching and analyzing indicators’ dependencies on factors, excluding the need for direct accounting of hard-to-distinguish mutual dependencies of initial statistics indicators and actually reducing the problem to building paired linear regressions of the indicator indices to factor indices. The authors also have solved the task of evaluation of attainability of the declared target landmarks in preparing long-term targeted programs. Using the designed application as the instrument of strategizing of regional development may significantly facilitate the search for and justification of important areas of economic activity in terms of global uncertainty and limited resources.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>дисперсионно-регрессионный анализ</kwd><kwd>имитационное моделирование</kwd><kwd>прогнозно-аналитическая модель</kwd><kwd>региональная экономика</kwd><kwd>социально-экономическая статистика</kwd><kwd>стратегическое планирование</kwd><kwd>стратегия развития</kwd></kwd-group><kwd-group xml:lang="en"><kwd>dispersion-regression analysis</kwd><kwd>imitation modelling</kwd><kwd>predictive-analytical model</kwd><kwd>regional economics</kwd><kwd>socio-economic statistics</kwd><kwd>strategic planning</kwd><kwd>development strategy</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Mintzberg H., Ahlstrand B.W., Lampel J. 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