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<article xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.4" article-type="other" xml:lang="en"><front><journal-meta><journal-title-group><journal-title xml:lang="ru">Управленец</journal-title></journal-title-group><journal-id journal-id-type="issn">2218-5003</journal-id><journal-id journal-id-type="eissn">2686-7923</journal-id></journal-meta><article-meta><article-id pub-id-type="doi">10.29141/2218-5003-2025-16-4-4</article-id><article-id pub-id-type="uri">https://elibrary.ru/item.asp?id=82931590</article-id><self-uri>https://elibrary.ru/item.asp?id=82931590</self-uri><title-group><article-title xml:lang="ru">Модель развития инвестиций социального воздействия на основе краудлендинговых платформ</article-title><trans-title-group xml:lang="en"><trans-title>A model of social impact investingbased on crowdlending platforms</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name><surname>Веретенникова</surname><given-names>А. Ю.</given-names></name><name-alternatives><name xml:lang="ru"><surname>Веретенникова</surname><given-names>А. Ю.</given-names></name><name xml:lang="en"><surname>Veretennikova</surname><given-names>A. Yu.</given-names></name></name-alternatives><xref ref-type="aff" rid="aff1"/><email>vay_uiec@mail.ru</email></contrib><contrib contrib-type="author"><name><surname>Коровин</surname><given-names>Г. Б.</given-names></name><name-alternatives><name xml:lang="ru"><surname>Коровин</surname><given-names>Г. Б.</given-names></name><name xml:lang="en"><surname>Korovin</surname><given-names>G. B.</given-names></name></name-alternatives><xref ref-type="aff" rid="aff1"/><email>korovin.gb@uiec.ru</email></contrib><aff-alternatives id="aff1"><aff><institution xml:lang="en">Institute of Economics, Ural Branch of the Russian Academy of Sciences</institution></aff><aff><institution xml:lang="ru">Институт экономики Уральского отделения Российской академии наук</institution></aff></aff-alternatives></contrib-group><pub-date pub-type="epub" iso-8601-date="2025-09-09"><day>09</day><month>09</month><year>2025</year></pub-date><volume>16</volume><issue>4</issue><fpage>54</fpage><lpage>69</lpage><history><date date-type="received" iso-8601-date="2025-04-03"><day>03</day><month>04</month><year>2025</year></date><date date-type="accepted" iso-8601-date="2025-06-26"><day>26</day><month>06</month><year>2025</year></date></history><permissions><license><license-p xml:lang="ru">CC BY-NC 4.0</license-p></license><copyright-statement xml:lang="ru">А.Ю. Веретенникова, Г.Б. Коровин</copyright-statement><copyright-statement xml:lang="en">A.Yu. Veretennikova, G.B. Korovin</copyright-statement></permissions><abstract xml:lang="ru"><p>Одним из способов оптимального управления ресурсами выступает экономика совместного пользования (шеринг-экономика), которая в финансовом секторе реализуется посредством деятельности операторов инвестиционных платформ в форме краудлендинга и краудинвестинга. Возможности применения этих видов сотрудничества для решения социальных задач в должной мере в научных публикациях не раскрыты. Статья посвящена разработке модели развития инвестиций социального воздействия (ИСВ) на основе сотрудничества с краудлендинговыми платформами с помощью агент-ориентированного подхода. Методологической базой послужили концепции шеринг-экономики и инвестиций социального воздействия, а также агент-ориентированный подход. Применялись статистические методы анализа и нотация описания процессов BPMN 2.0. Эффективность взаимодействия экономических агентов на платформах определена методом имитационного моделирования в программном продукте AnyLogic. В работе использованы данные реестра операторов инвестиционных платформ РФ, единого реестра субъектов малого и среднего предпринимательства РФ, бухгалтерской отчетности социальных предпринимателей Свердловской области за 2023-2024 гг., а также открытая информация с инвестиционных платформ. Разработана архитектура агент-ориентированной модели, включающая экономических агентов, взаимодействующих на инвестиционной платформе, алгоритмы принятия решений данных агентов, расчет показателей, характеризующих социальные и экономические выгоды от реализации рассмотренной формы сотрудничества. Показано влияние субсидиарной поддержки государства на итоговые показатели модели. Наиболее значимым из них выступает рентабельность проекта, обеспечивающая прирост налоговых отчислений в региональных бюджет на 80 % при увеличении значения показателя на 20 %. Результаты исследования можно использовать при формировании институциональной среды, стимулирующей развитие ИСВ в регионе.</p></abstract><trans-abstract xml:lang="en"><p>One of effective business models for performing optimal resource management is sharing economy, which is implemented in the financial sector through the activities of investment platform operators in the form of crowdlending and crowdinvesting. The potential of these forms of cooperation for addressing social issues has not been adequately explored in academic literature. The study aims to propose a model of social impact investing based on crowdlending platforms through the agent-based approach. The foundation of research resides in the concepts of sharing economy and impact investing, as well as the agent-based approach. Statistical analysis methods and BPMN 2.0 (Business Process Model and Notation) were utilized. The efficiency of economic agents’ cooperation on the platforms was determined using simulation modelling in AnyLogic software. Empirical data are retrieved from the RF Register of Investment Platforms Operators, the RF Unified Registry of Small and Medium-Sized Enterprises, financial statements of social entrepreneurs in Sverdlovsk oblast for 2023-2024, and publicly available data from investment platforms. The architecture of the developed agent-oriented model comprises economic agents interacting on an investment platform, algorithms for their decision-making, and computations of indicators describing social and economic benefits from the form of collaboration under review. The article discusses the impact of state subsidies on the model’s final indicators. Among them, project profitability proved to be the most critical one, which, if increased by 20%, provide an 80% growth in tax revenues to regional budgets. The research findings are instrumental in shaping an institutional environment that stimulates social impact investing in a region.</p></trans-abstract><kwd-group xml:lang="en"><kwd>Social impact investing</kwd><kwd>impact investing</kwd><kwd>sharing economy</kwd><kwd>crowdlending platform</kwd><kwd>agent-based modelling</kwd><kwd>social projects</kwd><kwd>social investment</kwd><kwd>cooperation</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>импакт-инвестирование</kwd><kwd>шеринг-экономика</kwd><kwd>краудлендинговая платформа</kwd><kwd>агент-ориентированное моделирование</kwd><kwd>социальные проекты</kwd><kwd>социальные инвестиции</kwd><kwd>сотрудничество</kwd><kwd>инвестиции социального воздействия</kwd></kwd-group></article-meta></front><back><ref-list><ref id="ref1"><mixed-citation xml:lang="en">Avdokushin E.F., Kuznetsova E.G. (2022). Sharing model as a determinant factor of modern business. Vestnik Kemerovskogo gosudarstvennogo universiteta. 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