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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">voprecotest</journal-id><journal-title-group><journal-title xml:lang="ru">Вопросы экономики</journal-title><trans-title-group xml:lang="en"><trans-title>Voprosy Ekonomiki</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">0042-8736</issn><publisher><publisher-name>Voprosy Ekonomiki, NP</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.32609/0042-8736-2025-8-121-146</article-id><article-id custom-type="elpub" pub-id-type="custom">voprecotest-5420</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>ЭКОНОМИКА ТРУДА И СОЦИАЛЬНОЙ СФЕРЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>LABOR AND SOCIAL ECONOMICS</subject></subj-group></article-categories><title-group><article-title>Социально-экономическое неравенство и экономический рост: оценка гипотезы Кузнеца методом XGBoost</article-title><trans-title-group xml:lang="en"><trans-title>Socio-economic inequality and economic growth: Assessing the Kuznets hypothesis using gradient boosting</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-2829-9900</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Дорофеев</surname><given-names>М. Л.</given-names></name><name name-style="western" xml:lang="en"><surname>Dorofeev</surname><given-names>M. L.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Дорофеев Михаил Львович - к. э. н., доцент кафедры общественных финансов финансового факультета Финуниверситета.</p><p>Москва</p></bio><bio xml:lang="en"><p>Mikhail L. Dorofeev</p><p>Moscow</p></bio><email xlink:type="simple">dorofeevml@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Финансовый университет при Правительстве РФ</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Financial University under the Government of the Russian Federation</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>14</day><month>08</month><year>2025</year></pub-date><volume>0</volume><issue>8</issue><fpage>121</fpage><lpage>146</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Voprosy Ekonomiki, NP, 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Voprosy Ekonomiki, NP</copyright-holder><copyright-holder xml:lang="en">Voprosy Ekonomiki, NP</copyright-holder><license xlink:href="https://www.vopreco.ru/jour/about/submissions#copyrightNotice" xlink:type="simple"><license-p>https://www.vopreco.ru/jour/about/submissions#copyrightNotice</license-p></license></permissions><self-uri xlink:href="https://www.vopreco.ru/jour/article/view/5420">https://www.vopreco.ru/jour/article/view/5420</self-uri><abstract><p>П</p><p>Проблема связи между социально-экономическим неравенством (СЭН) и экономическим ростом остается актуальной в условиях глобальной неопределенности и усиления роли государственного финансового регулирования (ГФР). Актуальность исследования обусловлена необходимостью уточнить характер этой связи для разработки эффективных мер ГФР, особенно в контексте российских национальных целей, включающих снижение коэффициента Джини к 2030 и 2036 гг. Цель исследования — определить влияние уровня СЭН на динамику экономического роста с акцентом на проверку гипотезы Кузнеца о нелинейной зависимости. Основные задачи исследования включали систематизацию теоретических и эмпирических подходов, подробный анализ каналов влияния СЭН на темпы экономического роста для разработки эконометрической модели и проверку гипотезы о нелинейности связи между исследуемыми показателями. Методологической основой стал метод градиентного бустинга, примененный к панельным данным 175 стран за 2000—2022 гг. Результаты подтвердили перевернутую U-образную зависимость темпов экономического роста от коэффициента Джини для посленалоговых доходов, определив оптимальный диапазон этого коэффициента (0,35—0,65) для максимальных темпов экономического роста, а также Г-образную зависимость, указывающую на целесообразность смягчения налоговой нагрузки в странах с низким уровнем СЭН. Выводы подчеркивают ограниченную универсальность гипотезы Кузнеца и обоснованность дифференцированного подхода к ГФР СЭН, необходимость усилить перераспределение доходов в странах с низкими подушевыми доходами и сократить избыточную фискальную нагрузку в развитых экономиках с низким уровнем СЭН. Также предложена теоретическая спиралевидная модель долгосрочной зависимости динамики экономического роста от уровня СЭН, учитывающая долгосрочные технологические циклы. Результаты имеют практическое значение для оптимизации ГФР в России.</p></abstract><trans-abstract xml:lang="en"><p>The issue of the relationship between socio-economic inequality (SEI) and economic growth remains relevant amid global uncertainty and the growing role of state financial regulation (SFR). The study’s relevance stems from the need to clarify the nature of these relationships to develop effective SFR measures, particularly in the context of Russia’s national goals, which include reducing the Gini coefficient by 2030 and 2036. The research aims to refine the impact of SEI levels on economic growth dynamics, with a focus on testing Simon Kuznets’ hypothesis of a nonlinear relationship. The main objectives included systematizing theoretical and empirical approaches, conducting a detailed analysis of SEI influence channels on economic growth rates to develop an econometric model, and verifying the hypothesis of nonlinear relationships between the studied indicators. The methodological foundation relied on the gradient boosting method, applied to panel data from 175 countries over the 2000—2022 period. Results confirmed an inverted U-shaped relationship between economic growth rates and the Gini coefficient for post-tax income, identifying an optimal Gini range (0.35—0.65) for maximum economic growth rates, as well as a G-shaped relationship, suggesting the need to reduce tax burdens in countries with low SEI levels. Conclusions highlight the limited universality of the Kuznets hypothesis and the necessity for a differentiated approach to SFR of SEI. Key recommendations include enhancing income redistribution in countries with low per capita incomes and reducing excessive fiscal burdens in developed economies with low SEI. A theoretical spiral model of the long-term relationship between economic growth dynamics and SEI, accounting for long-term technological cycles, is also proposed. The results hold practical significance for optimizing SFR in Russia.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>социально-экономическое неравенство</kwd><kwd>экономический рост</kwd><kwd>гипотеза Кузнеца</kwd><kwd>государственное финансовое регулирование</kwd><kwd>коэффициент Джини</kwd><kwd>градиентный бустинг</kwd><kwd>XGBoost</kwd></kwd-group><kwd-group xml:lang="en"><kwd>socio-economic inequality</kwd><kwd>economic growth</kwd><kwd>Kuznets hypothesis</kwd><kwd>state financial regulation</kwd><kwd>Gini coefficient</kwd><kwd>gradient boosting</kwd><kwd>XGBoost</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Статья подготовлена по результатам исследований, выполненных за счет бюджетных средств по государственному заданию Финуниверситета</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Варшавский А. Е. (2019). 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