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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.2024-2-3</article-id><title-group xml:lang="en"><article-title>Russian Arctic-2035: Multi-Scale Forecast</article-title></title-group><title-group xml:lang="ru"><article-title>Российская Арктика-2035: полимасштабный прогноз</article-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2249-9351</contrib-id><name-alternatives><name xml:lang="en"><surname>Pilyasov</surname><given-names>Alexander N.</given-names></name><name xml:lang="ru"><surname>Пилясов</surname><given-names>Александр Николаевич </given-names></name></name-alternatives><email>pelyasov@mail.ru</email><xref ref-type="aff" rid="aff1"/><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-2990-3097</contrib-id><name-alternatives><name xml:lang="en"><surname>Kotov </surname><given-names>Alexander V. </given-names></name><name xml:lang="ru"><surname>Котов</surname><given-names>Александр Владимирович </given-names></name></name-alternatives><email>alexandr-kotov@yandex.ru</email><xref ref-type="aff" rid="aff3"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Institute of Regional Consulting</institution></aff><aff><institution xml:lang="ru">Институт регионального консалтинга</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Lomonosov Moscow State University</institution></aff><aff><institution xml:lang="ru">МГУ им. М. В. Ломоносова</institution></aff></aff-alternatives><aff-alternatives id="aff3"><aff><institution xml:lang="en">Institute of Europe RAS</institution></aff><aff><institution xml:lang="ru">Институт Европы РАН</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2024-06-30" publication-format="electronic"/><volume>20</volume><issue>2</issue><fpage>369</fpage><lpage>394</lpage><history><date date-type="received" iso-8601-date="2024-01-20"/><date date-type="accepted" iso-8601-date="2024-03-22"/></history><permissions><copyright-statement xml:lang="en">Copyright © 2024 Alexander N. Pilyasov, Alexander V. Kotov</copyright-statement><copyright-statement xml:lang="ru">Copyright © 2024 Александр Николаевич Пилясов, Александр Владимирович  Котов</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="en">Alexander N. Pilyasov, Alexander V. Kotov</copyright-holder><copyright-holder xml:lang="ru">Александр Николаевич Пилясов, Александр Владимирович  Котов</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/844">https://www.economyofregions.org/ojs/index.php/er/article/view/844</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/844/305">https://www.economyofregions.org/ojs/index.php/er/article/download/844/305</self-uri><abstract xml:lang="en"><p>The subject of the study is the forecast of the development of the Arctic territories of Russia at the zonal, regional and municipal levels based on the concept of technical and economic (structural) dynamics of N. Kondratiev – S. Glazyev – С. Peres. The object of study is the Arctic zone of the Russian Federation. The purpose of the study is to describe the technical and economic dynamics of the Arctic territories until 2035. This goal determined the solution of three tasks: 1) identifying the features of new resource development of the Russian Arctic based on the mineral resources and fuel and energy potential of the Arctic territories of Russia; 2) justification of the current situation in the regions of the Russian Arctic, such as the dynamics of technological structures and calculated positions on the volume of GRP in 2035; 3) compiling a list of Arctic municipalities (49) with limited delivery times for cargo and their typology based on the speed of technical and economic dynamics. Results of the study: I. The resource potential of the Russian Arctic from the point of view of technological structures can be strengthened through the commissioning of deposits of graphite, antimony, and bauxite, the global demand for which is characterized by favorable conditions in the forecast period; II. The regions of the Russian Arctic are differentiated based on the analysis of greenfield projects carried out during the forecast period into three groups of technological renewal: a) maximum; b) partial; c) minimal. The forecast of the GRP of the Arctic territories based on resource production indicators in 2035 determined their rank: 1) Yamal-Nenets Autonomous Okrug; 2) Murmansk region; 3-4) Nenets Autonomous Okrug and the Arctic of the Krasnoyarsk Territory; 5) Arctic of the Republic of Sakha (Yakutia); 6) Arctic of the Komi Republic; 7) Chukotka Autonomous Okrug; 8) Arctic of the Arkhangelsk region; 9) Arctic of the Republic of Karelia. III. Arctic municipalities with limited delivery times are separated into four groups from the point of view of the prospects for the formation of a new technological structure based on new projects: 1) maximum potential (12); 2) average potential (9); 3) without new mining projects, but with prospects for completing the development of previously started ones and technological modernization of old projects (12); 4) without prospects for the deployment of new projects for the development of non-renewable resources, but with prospects for the development of biological resources (16). Possible application of the results can be documents of strategic planning of the Russian Arctic at the zonal, regional and municipal levels.</p></abstract><abstract xml:lang="ru"><p>Статья посвящена прогнозу развития арктических территорий России на зональном, региональном и муниципальном уровне на основе концепции технико-экономической (укладной) динамики Н. Кондратьева, С. Глазьева и К. Перес. Цель исследования — охарактеризовать технико-экономическую динамику арктических территорий до 2035 г. — определила решение трех задач: выявить особенности нового ресурсного освоения российской Арктики, исходя из минерально-сырьевого и топливно-энергетического потенциала арктических территорий России, обосновать существующий укладный статус-кво регионов российской Арктики, тип укладной динамики и финальные позиции по объему ВРП в 2035 г., сформировать перечень арктических муниципальных образований с ограниченными сроками завоза грузов (49) и провести их типологию по скорости технико-экономической динамики. Получены следующие результаты. Во-первых, укладный потенциал ресурсов российской Арктики может быть усилен за счет ввода в эксплуатацию месторождений графитов, сурьмы, бокситов, мировой спрос на которые характеризуется в прогнозный период благоприятной конъюнктурой. Во-вторых, регионы российской Арктики дифференцируются на основании анализа вводимых в прогнозный период гринфилд-проектов на три группы технологического обновления: а) предельного, б) частичного, в) минимального. Прогноз ВРП арктических территорий на основании показателей ресурсной добычи в 2035 г. определил их ранг: 1) Ямало-Ненецкий автономный округ, 2) Мурманская область, 3-4) Ненецкий автономный округ и Арктика Красноярского края, 5) Арктика Республики Саха (Якутия), 6) Арктика Республики Коми, 7) Чукотский автономный округ, 8) Арктика Архангельской области, 9) Арктика Республики Карелия. В-третьих, арктические муниципальные образования с ограниченными сроками завоза обособляются в четыре группы с точки зрения потенциала нового технологического уклада на базе гринфилд проектов: 1) максимального (12), 2) среднего (9), 3) без новых добычных проектов, но с перспективами завершения обустройства ранее начатых и технологической модернизации старых проектов (12), 4) без перспектив к развертыванию новых проектов освоения невозобновляемых, но с перспективами освоения биологических ресурсов (16). Результаты исследования могут быть использованы при разработке документов стратегического планирования российской Арктики зонального, регионального и муниципального уровня.</p></abstract><kwd-group xml:lang="en"><kwd>Arctic zone, Arctic forecasting, zonal approach, technological structure, gross regional product, multi-scale, spatial economic proportions, regional specialization, investment projects, isolated areas</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>Арктическая зона, арктическое прогнозирование, зональный подход, технологический уклад, валовой региональный продукт, полимасштабность, пространственные экономические пропорции, региональная специализация, инвестиционные проекты, изолированные районы</kwd></kwd-group></article-meta></front><body/><back><ref-list><ref id="en-ref1"><label>1</label><mixed-citation xml:lang="en">Anderson, A. (2009). After the Ice: Life, Death and Politics in the New Arctic. 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