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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">manguu</journal-id><journal-title-group><journal-title xml:lang="ru">Управление</journal-title><trans-title-group xml:lang="en"><trans-title>UPRAVLENIE / MANAGEMENT (Russia)</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2309-3633</issn><issn pub-type="epub">2713-1645</issn><publisher><publisher-name>State University of Management</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26425/2309-3633-2025-13-2-42-55</article-id><article-id custom-type="elpub" pub-id-type="custom">manguu-790</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>УПРАВЛЕНИЕ В СФЕРЕ ЭКОНОМИКИ: ПРОБЛЕМЫ И ПЕРСПЕКТИВЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>MANAGEMENT IN ECONOMY: PROBLEMS AND PROSPECTS</subject></subj-group></article-categories><title-group><article-title>Инфраструктурный потенциал инновационной экосистемы региона: модели и методики оценки</article-title><trans-title-group xml:lang="en"><trans-title>Infrastructure potential of regional innovation ecosystem: models and assessment methods</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2388-596X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Победин</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Pobedin</surname><given-names>A. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Александр Александрович Победин, канд. экон. наук, зав. каф.</p><p>каф. экономики и управления</p><p>620990; 8 Марта ул., 66; Екатеринбург</p></bio><bio xml:lang="en"><p>Alexander A. Pobedin, Cand. Sci. (Econ.), Head of the Department</p><p>Economics and Management Department</p><p>620990; 66, 8 Marta ulitsa; Yekaterinburg</p></bio><email xlink:type="simple">pobedin-aa@ranepa.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Уральский институт управления – филиал Российской академии народного хозяйства и государственной службы при Президенте Российской Федерации</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Ural Institute of Management of the Russian Presidential Academy of National Economy and Public Administration</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>18</day><month>06</month><year>2025</year></pub-date><volume>13</volume><issue>2</issue><fpage>42</fpage><lpage>55</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Победин А.А., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Победин А.А.</copyright-holder><copyright-holder xml:lang="en">Pobedin 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://upravlenie.guu.ru/jour/article/view/790">https://upravlenie.guu.ru/jour/article/view/790</self-uri><abstract><p>   Инфраструктурный потенциал инновационной экосистемы региона становится определяющим фактором экономического роста и технологического развития территорий в условиях жесточайшей межрегиональной конкуренции как внутри страны, так и на международном уровне. Реализация стратегий «умной» специализации регионов, направленных на повышение инновационной восприимчивости территорий, снижение инновационной резистентности, преодоление «эффекта колеи», повышение абсорбционной способности территорий в сфере инноваций, актуализирует задачу поиска оптимального методологического инструментария для оценки инфраструктурного потенциала инновационных экосистем.</p><p>   Целью настоящего исследования является систематизация теоретических моделей и методических подходов к оценке инфраструктурного потенциала инновационной экосистемы региона, выявление проблем и определение направлений совершенствования методик.</p><p>   Проведенный обзор методик оценки инфраструктурного потенциала выявил их значительное разнообразие: результатный подход с учетом трансакционных издержек, анализ производственных функций и корреляционных связей, интегральные индексы, матричный метод и специализированные индикаторы цифровой трансформации. Особую ценность представляет экосистемная парадигма, рассматривающая инновационную инфраструктуру как открытую систему взаимозависимых агентов, совместно генерирующих, распространяющих и коммерциализирующих инновации на основе «умной» специализации. Выделены ключевые проблемы современных методик: терминологическая неоднозначность, абстрактность, слабая практическая апробация, недостаточный учет интегральных эффектов и качественных характеристик инфраструктурного потенциала региональных инновационных экосистем. Определены перспективные направления совершенствования методологии оценки инфраструктурного потенциала инновационной экосистемы региона: создание единой терминологической базы, разработка комплексного подхода с интеграцией количественных и качественных методов, учет современных технологических трендов и адаптация передовых международных практик к российским условиям. Результаты исследования представляют интерес для федеральных, региональных и местных органов власти в рамках формирования и реализации инновационной политики и преодоления территориальной дифференциации регионов с различной институциональной плотностью инновационной среды.</p></abstract><trans-abstract xml:lang="en"><p>   The infrastructural potential of regional innovation ecosystem is becoming a determining factor of economic growth and spatial technological development in the conditions of fierce interregional competition both within a country and at the international level. The implementation of smart regional specialization strategies, aimed at increasing the innovation susceptibility of territories, reducing innovation resistance, overcoming the rut effect, increasing the spatial absorption capacity of territories in the field of innovation, actualizes the task of finding optimal methodological tools for assessing the infrastructural potential of innovation ecosystems.</p><p>   The purpose of the study is to systematize theoretical models and methodological approaches to assessing the infrastructural potential of regional innovation ecosystem, identify issues, and determine the directions for improving the methodologies.</p><p>   The review of the methodologies for assessing the infrastructural potential has revealed their significant diversity: the results-based approach, considering transaction costs, the analysis of production functions and correlations, integral indices, the matrix method, and specialized indicators of digital transformation. Of particular value is the ecosystem paradigm, which considers the innovation infrastructure as an open system of interdependent agents that jointly generate, disseminate, and commercialize innovations on the basis of smart specialization. The key issues of modern methods have been identified: terminological ambiguity, abstractness, poor practical testing, insufficient consideration of integral effects, and qualitative characteristics of the infrastructural potential of regional innovation ecosystems. Promising directions for improving the methodology of assessing the infrastructural potential of regional innovation ecosystem have been identified: creating a unified terminological base, developing a comprehensive approach with the quantitative and qualitative methods integration, considering modern technological trends, and adapting advanced international practices to Russian conditions. The study results are of interest to federal, regional, and local authorities in the framework forming and implementing innovation policy and overcoming the territorial differentiation of regions with varying institutional density of innovation environment.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>инновационная инфраструктура региона</kwd><kwd>оценка инновационного потенциала</kwd><kwd>региональные инновационные системы</kwd><kwd>умная специализация</kwd><kwd>инновационная экосистема</kwd><kwd>коммерциализация инноваций</kwd><kwd>цифровая трансформация</kwd><kwd>технологическое развитие территорий</kwd><kwd>региональная инновационная политика</kwd><kwd>экономический рост</kwd><kwd>межрегиональная дифференциация</kwd><kwd>институты развития</kwd></kwd-group><kwd-group xml:lang="en"><kwd>regional innovation infrastructure</kwd><kwd>innovation potential assessment</kwd><kwd>regional innovation systems</kwd><kwd>smart specialization</kwd><kwd>innovation ecosystem</kwd><kwd>innovations commercialization</kwd><kwd>digital transformation</kwd><kwd>spatial technological development</kwd><kwd>regional innovation policy</kwd><kwd>economic growth</kwd><kwd>interregional differentiation</kwd><kwd>development institutions</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">Абашкин В.Л. 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