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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.2026-2-12</article-id><title-group xml:lang="en"><article-title>Proportionality of State Agricultural Support to the Economic Potential  of Russia’s Leading Agricultural Regions</article-title></title-group><title-group xml:lang="ru"><article-title>Оценка соразмерности государственной поддержки сельского хозяйства экономическому потенциалу ведущих аграрных регионов России</article-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8951-9241</contrib-id><name-alternatives><name xml:lang="en"><surname>Averin </surname><given-names>Anton Yu.</given-names></name><name xml:lang="ru"><surname>Аверин</surname><given-names>Антон Юрьевич</given-names></name></name-alternatives><email>prosto-anton@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6716-1963</contrib-id><name-alternatives><name xml:lang="en"><surname>Bondarenko </surname><given-names>Vladimir V.</given-names></name><name xml:lang="ru"><surname>Бондаренко</surname><given-names>Владимир Викторович</given-names></name></name-alternatives><email>bond40@bk.ru</email><xref ref-type="aff" rid="aff2"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1257-3725</contrib-id><name-alternatives><name xml:lang="en"><surname>Leskina </surname><given-names>Olga N.</given-names></name><name xml:lang="ru"><surname>Лескина </surname><given-names>Ольга Николаевна</given-names></name></name-alternatives><email>onleskina@fa.ru</email><xref ref-type="aff" rid="aff2"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Penza State University</institution></aff><aff><institution xml:lang="ru">Пензенский государственный университет</institution></aff></aff-alternatives><aff-alternatives id="aff2"><aff><institution xml:lang="en">Penza Branch of the Financial University under the Government of the Russian Federation</institution></aff><aff><institution xml:lang="ru">Пензенский филиал Финансового университета при Правительстве РФ</institution></aff></aff-alternatives><pub-date date-type="pub" publication-format="electronic" iso-8601-date="2026-06-26"><day>26</day><month>06</month><year>2026</year></pub-date><pub-date date-type="collection" iso-8601-date="2026-06-26"><day>26</day><month>06</month><year>2026</year></pub-date><volume>22</volume><issue>2</issue><fpage>399</fpage><lpage>413</lpage><history><date date-type="received" iso-8601-date="2025-10-17"><day>17</day><month>10</month><year>2025</year></date><date date-type="accepted" iso-8601-date="2026-03-31"><day>31</day><month>03</month><year>2026</year></date></history><permissions><copyright-statement xml:lang="en">Copyright © 2026 Anton Yu. Averin, Vladimir V. Bondarenko, Olga N. Leskina</copyright-statement><copyright-statement xml:lang="ru">Copyright © 2026 Антон Юрьевич Аверин, Владимир Викторович Бондаренко, Ольга Николаевна Лескина</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="en">Anton Yu. Averin, Vladimir V. Bondarenko, Olga N. Leskina</copyright-holder><copyright-holder xml:lang="ru">Антон Юрьевич Аверин, Владимир Викторович Бондаренко, Ольга Николаевна Лескина</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/1413">https://www.economyofregions.org/ojs/index.php/er/article/view/1413</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/1413/1516">https://www.economyofregions.org/ojs/index.php/er/article/download/1413/1516</self-uri><abstract xml:lang="en"><p>When regional economies vary significantly in structure and budgetary capacity, state agricultural support can easily fall out of step with actual production outcomes. Most existing studies examine overall funding volumes and spending trends, but say little about how support is distributed relative to production performance across different regional groups. This gap hinders fair assessment of resource distribution and obscures underlying disproportions. This study focuses on key imbalances in the distribution of state agricultural support by evaluating its proportionality to the economic role and fiscal conditions of agricultural regions, and offers recommendations for improving the targeting and validity of support measures. The analysis draws on official data for Russian regions over the period 2012–2023. K-means clustering was applied to identify a leading cluster by average agricultural output. Findings show that the value of agricultural production within this cluster grew by 160.5 %, reaching RUB 4,195.8 billion, thus outpacing the national growth rate of 149.8 %. Meanwhile, state support grew by only 47.0 %, reaching RUB 81.6 billion. The support concentration coefficient remained stable at 1.06–1.08, suggesting that the relative distribution of support across regions was broadly preserved. Nevertheless, there is a deepening disproportion between agriculture’s economic significance and its budgetary priority: the sector’s share in gross value added rose from 11.6 % to 12.3 %, while the share of support expenditures declined from 3.2 % to 2.1 %, driving the proportionality coefficient from 3.59 to 5.95. Dependence on federal financing also declined, with the dependency coefficient falling from 4.16 to 2.43. These findings have practical implications for calibrating intergovernmental fiscal mechanisms and enhancing the targeting of state support for the agro-industrial sector.</p></abstract><abstract xml:lang="ru"><p>В условиях неоднородности региональных экономик и различий бюджетной обеспеченности возрастает риск несоответствия между объемами государственной поддержки сельского хозяйства и фактическими результатами агропроизводства. В литературе преобладают оценки по абсолютным объемам финансирования и динамике расходов, тогда как структурное сопоставление производства и поддержки для групп регионов раскрыто недостаточно. Это затрудняет интерпретацию справедливости распределения средств и выявление скрытых диспропорций. Цель исследования — на основе оценки соразмерности государственной поддержки сельского хозяйства экономической роли и бюджетным условиям аграрных регионов выявить ключевые диспропорции в ее распределении и разработать рекомендации по повышению обоснованности и адресности поддержки. Эмпирическая база — официальные данные по субъектам РФ за 2012–2023 гг. На основе кластеризации методом k-средних выделен ведущий кластер по среднему уровню стоимости продукции. Результаты исследования показали, что стоимость произведенной продукции в кластере выросла на 160,5 % (до 4 195,8 млрд р.), что выше общероссийской динамики (149,8 %). Рост государственной поддержки при этом существенно отставал и составил 47,0 % до 81,6 млрд р. Коэффициент концентрации поддержки оставался стабильным в интервале 1,06–1,08, что свидетельствует о сохранении пропорциональности распределения средств относительно вклада регионов в производство. Однако усилилась диспропорция между экономической ролью сельского хозяйства и бюджетным приоритетом его поддержки: при росте доли отрасли в валовой добавленной стоимости с 11,6 % до 12,3 % доля расходов на поддержку сократилась с 3,2 % до 2,1 %, вследствие чего коэффициент соразмерности увеличился с 3,59 до 5,95. Дополнительно выявлено снижение зависимости финансирования от федерального бюджета: коэффициент сократился с 4,16 до 2,43. Полученные результаты могут быть использованы при корректировке механизмов межбюджетного регулирования и повышении адресности государственной поддержки АПК.</p></abstract><kwd-group xml:lang="en"><kwd>leading agricultural regions</kwd><kwd>budget burden</kwd><kwd>regional co-financing</kwd><kwd>concentration of agricultural production</kwd><kwd>proportionality of state support</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>ведущие аграрные регионы</kwd><kwd>бюджетная нагрузка</kwd><kwd>региональное софинансирование</kwd><kwd>концентрация сельскохозяйственного производства</kwd><kwd>соразмерность государственной поддержки</kwd></kwd-group></article-meta></front><body/><back><ref-list><ref id="en-ref1"><label>1</label><mixed-citation xml:lang="en">Amaglobeli, D., Benson, T., &amp; Mogues, T. (2024). Agricultural Producer Subsidies: Navigating Challenges and Policy Considerations. 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