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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">sibsutis</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник СибГУТИ</journal-title><trans-title-group xml:lang="en"><trans-title>The Herald of the Siberian State University of Telecommunications and Information Science</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1998-6920</issn><publisher><publisher-name>СибГУТИ</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.55648/1998-6920-2021-15-2-27-47</article-id><article-id custom-type="elpub" pub-id-type="custom">sibsutis-50</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>Статьи</subject></subj-group></article-categories><title-group><article-title>Продукционный баланс экономики региона</article-title><trans-title-group xml:lang="en"><trans-title>Production balance of the regional economy</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Самков</surname><given-names>Т. Л.</given-names></name><name name-style="western" xml:lang="en"><surname>Samkov</surname><given-names>T. ..</given-names></name></name-alternatives><email xlink:type="simple">ermingngs.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="ru" id="aff-1"><institution>СибГУТИ</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>18</day><month>06</month><year>2021</year></pub-date><volume>0</volume><issue>2</issue><fpage>27</fpage><lpage>47</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Самков Т.Л., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Самков Т.Л.</copyright-holder><copyright-holder xml:lang="en">Samkov T...</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://vestnik.sibsutis.ru/jour/article/view/50">https://vestnik.sibsutis.ru/jour/article/view/50</self-uri><abstract><p>Статья посвящена созданию материального блока модели Леонтьева «затраты - выпуск», цель которого - отразить деятельность как производственных, так и торговых предприятий, т.е. объектов, создающих реальный ВВП в рамках каждого региона конкретного территориального образования (включая всю экономику РФ). Указанная деятельность предусматривает производство/ввоз продукции на территорию региона всеми отраслями и ее распределение между опять-таки как производственными, так и торговыми предприятиями для обеспечения их функционирования. Помимо отображения торговой части указанных товарных потоков, новизна модели заключается в учёте госзакупок, использовании наряду с нормативами удельного потребления материальных ресурсов/товаров не только в производстве, но и в торговле. Также разработаны формальные взаимосвязи между вложениями в научно-технические разработки и рост/уменьшение затрат ресурсов на выпуск/продажу единицы продукции. Показатели модели составлены из частей - вкладов со стороны производства и торговли, при этом имея многоаспектное представление, массивы данных которых образованы годовым, региональным и отраслевыми срезами, декомпозируемыми соответственно на месяцы, районы и корпорации. Это позволяет формировать необходимый для расчетов временной ряд путем технологии гиперкуба данных и реализовывать его с помощью языков поколения 4GL. В модели имеются соотношения, определяющие искомые значения ее изменяемых параметров исходя из ориентации на экономический рост, включающий насыщение регионального рынка продукцией отрасли, индикатором чего является ее потребление сектором, предоставляющим услуги. Этот показатель больше нуля в случае покрытия потребности всех остальных хозяйствующих субъектов региона и меньше либо равен нулю в остальных случаях.</p></abstract><trans-abstract xml:lang="en"><p>The article is devoted to the creation of the material block of the Leontief input-output model. Its purpose is to reflect the activities of both production and trade enterprises, i.e., objects that create real GDP within each region of a particular territorial entity (including the entire economy of the Russian Federation). This activity involves the production/import of products on the territory of the region by all industries and its distribution among both manufacturing and commercial enterprises to ensure their functioning. In addition to displaying the trade part of these commodity flows, the novelty of the model is to take into account public procurement, the use, along with the standards of specific consumption of material resources/goods not only in production but also in trade. Formal relationships have also been developed between investment in scientific and technical development and the growth/reduction of resource costs for the production/sale of a unit of production. The model indicators are made up of parts - contributions from production and trade while having a multi-aspect representation, data sets of which are formed by annual, regional and industry sections, decomposed respectively into months, districts and corporations. This allows you to generate the necessary time series for calculations using hypercube data technology and implement them using 4GL generation languages. The model has relations that determine the desired values of its variable parameters based on economic growth including the saturation of the regional market with the products of the industry, an indicator of which is its consumption by the service sector. This indicator is greater than zero in the case of covering the needs of all other economic entities in the region and less than or equal to zero otherwise.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>модель «затраты - выпуск»</kwd><kwd>коэффициент прямых затрат</kwd><kwd>отрасль</kwd><kwd>удельные затраты</kwd><kwd>сектор сервисного потребления</kwd><kwd>доля технологического перерасхода</kwd><kwd>доля технологической экономии</kwd></kwd-group><kwd-group xml:lang="en"><kwd>input-output model</kwd><kwd>direct cost coefficients</kwd><kwd>industry</kwd><kwd>service consumption sector</kwd><kwd>unit costs</kwd><kwd>share of technological overspending</kwd><kwd>share of technological savings</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">Schaffer W. A. Regional Impact Models. Morgantown: West Virginia University, 1999, 88 p. 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