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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.2024-3-15</article-id><title-group xml:lang="en"><article-title>Methodological Approach to the Efficiency Analysis of Regional Industrial Ecosystems</article-title></title-group><title-group xml:lang="ru"><article-title>Методический подход к анализу эффективности региональных промышленных экосистем</article-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-6579-0988</contrib-id><name-alternatives><name xml:lang="en"><surname>Mityakov </surname><given-names>Evgenii S. </given-names></name><name xml:lang="ru"><surname>Митяков</surname><given-names>Евгений Сергеевич </given-names></name></name-alternatives><email>mityakov@mirea.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7086-7457</contrib-id><name-alternatives><name xml:lang="en"><surname>Mityakov </surname><given-names>Sergey N. </given-names></name><name xml:lang="ru"><surname>Митяков </surname><given-names>Сергей Николаевич </given-names></name></name-alternatives><email>snmit@mail.ru</email><xref ref-type="aff" rid="aff2"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">MIREA - Russian Technological University</institution></aff><aff><institution xml:lang="ru">МИРЭА — Российский технологический университет</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Nizhny Novgorod State Technical University named after R.E. Alekseev</institution></aff><aff><institution xml:lang="ru">Нижегородский государственный технический университет им. Р.Е, Алексеева</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2024-09-30" publication-format="electronic"/><volume>20</volume><issue>3</issue><fpage>836</fpage><lpage>850</lpage><history><date date-type="received" iso-8601-date="2023-10-15"/><date date-type="accepted" iso-8601-date="2024-06-20"/></history><permissions><copyright-statement xml:lang="en">Copyright © 2024 Evgenii S. Mityakov, Sergey N. Mityakov</copyright-statement><copyright-statement xml:lang="ru">Copyright © 2024 Евгений Сергеевич Митяков, Сергей Николаевич Митяков</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="en">Evgenii S. Mityakov, Sergey N. Mityakov</copyright-holder><copyright-holder xml:lang="ru">Евгений Сергеевич Митяков, Сергей Николаевич Митяков</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/717">https://www.economyofregions.org/ojs/index.php/er/article/view/717</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/717/338">https://www.economyofregions.org/ojs/index.php/er/article/download/717/338</self-uri><abstract xml:lang="en"><p>Formation of a new model of limited open sovereign economy in Russia requires the improvement of the theoretical and methodological basis for evaluating the efficiency of regional industry. The research aims to develop a methodological approach to the efficiency analysis of regional industrial ecosystems. To this end, an ecosystem approach to analysing the efficiency of regional industry was employed. In order to establish evaluation criteria, the study defined the structure of regional industrial ecosystems, comprising a set of intrinsic characteristics (development projections): scale, production potential, production infrastructure, human capital, research and development (R&amp;D), innovation, integration potential, competitiveness, and ecology. Efficiency evaluation and comparative analysis of regional industrial ecosystems were performed using a developed system of twenty-seven indicators to provide an objective assessment of the state of industry. The paper examined five industrially developed regions of the Volga Federal District: the Republics of Bashkortostan and Tatarstan, Perm krai, Nizhny Novgorod and Samara oblasts. Testing of the authors’ approach revealed the uneven development of regions according to projections and indicators of industrial ecosystems. Nizhny Novgorod oblast achieved the best result in terms of the totality of indicators, as well as in terms of scale and production potential, R&amp;D and ecology. Perm krai is a leader according to such indicators as production infrastructure and product competitiveness. The Republic of Tatarstan leads in innovation, while the Republic of Bashkortostan has the greatest integration potential. Samara oblast is the outsider characterised by high depreciation of fixed assets and discharge of contaminated wastewater. The findings confirmed the research hypothesis about the possibility of representing processing industries of industrially developed Russian regions as industrial ecosystems.</p></abstract><abstract xml:lang="ru"><p>В условиях формирования новой модели ограниченно открытой экономики суверенного типа в РФ назрела острая необходимость совершенствования теоретико-методологического базиса анализа эффективности региональной промышленности. Целью данного исследования выступает разработка методического подхода к анализу эффективности функционирования региональных промышленных экосистем. Для достижения заданной цели в работе использован экосистемный подход к анализу эффективности региональной промышленности. Для формирования критериев оценки эффективности функционирования промышленных экосистем в данном исследовании определена структура региональной промышленной экосистемы, содержащая набор имманентных характеристик (проекций развития): масштаб, потенциал производства, инфраструктура производства, человеческий капитал, НИОКР, инновации, интеграционный потенциал, конкурентоспособность и экология. Оценку эффективности функционирования региональных промышленных экосистем региона и их сравнительный анализ предложено проводить с использованием разработанной системы показателей из двадцати семи индикаторов, ориентированной на проведение объективной оценки состояния промышленности в регионах. В качестве объектов исследования выбраны пять промышленно развитых регионов, входящих в состав Приволжского федерального округа: республики Башкортостан и Татарстан, Пермский край, Нижегородская и Самарская области. Апробация авторских разработок продемонстрировала существенную неравномерность развития регионов по проекциям и показателям промышленных экосистем. Наилучший результат по совокупности показателей продемонстрировала Нижегородская область, имеющая лучшие результаты по масштабу и потенциалу производства, НИОКР и экологии. Далее следуют Пермский край, лидирующий по уровням инфраструктуры производства и конкурентоспособности продукции. Затем — Республика Татарстан, лидирующая по инновациям, и Республика Башкортостан, имеющая наибольший интеграционный потенциал. Аутсайдером является Самарская область, имеющая высокие значения износа основных фондов и сброса загрязненных сточных вод. Результаты анализа подтвердили гипотезу исследования о возможности представления обрабатывающих отраслей промышленно развитых субъектов Федерации в качестве региональных промышленных экосистем. </p></abstract><kwd-group xml:lang="en"><kwd>regional industrial ecosystem, regional economy, processing industry, efficiency evaluation, indicator system</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>региональная промышленная экосистема, региональная экономика, обрабатывающая промышленность, оценка эффективности, система индикаторов</kwd></kwd-group></article-meta></front><body/><back><ack xml:lang="en"><p>The article has been prepared with the support of the Russian Science Foundation (the project № 23-78-10009).</p></ack><ack xml:lang="ru"><p>Исследование выполнено за счет гранта Российского научного фонда (проект № 23-78-10009).</p></ack><ref-list><ref id="en-ref1"><label>1</label><mixed-citation xml:lang="en">Akberdina, V. V. (2020). 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