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<article xmlns="https://jats.nlm.nih.gov/publishing/1.1/" xmlns:xlink="http://www.w3.org/1999/xlink" xml:lang="ru" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" dtd-version="1.1" specific-use="eps-0.1"><front><journal-meta><journal-id journal-id-type="publisher">SciNotesIBI</journal-id><journal-id journal-id-type="ojs">SciNotesIBI</journal-id><journal-title-group><journal-title xml:lang="ru">Ученые записки Международного банковского института</journal-title><trans-title-group xml:lang="en"><trans-title>Proceedings of the International Banking Institute</trans-title></trans-title-group><abbrev-journal-title xml:lang="en">Proceedings of the International Banking Institute</abbrev-journal-title><abbrev-journal-title xml:lang="ru">Ученые записки Международного банковского института</abbrev-journal-title></journal-title-group><contrib-group/><publisher><publisher-name>Международный банковский институт</publisher-name><publisher-loc><country>RU</country><uri>https://www.ibispb.ru/</uri></publisher-loc></publisher><issn pub-type="ppub">2413-3345</issn><self-uri xlink:href="https://journal.ibispb.ru/index.php/SciNotesIBI"/></journal-meta><article-meta><article-id pub-id-type="publisher-id">263</article-id><article-id pub-id-type="EDN">BFOITB</article-id><article-categories><subj-group subj-group-type="heading" xml:lang="ru"><subject>Статьи</subject></subj-group></article-categories><title-group><article-title xml:lang="ru">Зеленое финансирование и моделирование поведения его участников</article-title><trans-title-group xml:lang="en"><trans-title>Green finance and modeling the behavior of its participants</trans-title></trans-title-group></title-group><contrib-group content-type="author"><contrib><name-alternatives><string-name specific-use="display">КЛЮЧНИКОВ О.И.</string-name><name name-style="western" specific-use="primary"><surname>КЛЮЧНИКОВ</surname><given-names>Олег Игоревич</given-names></name></name-alternatives><xref ref-type="aff" rid="aff-1"/><bio xml:lang="en"><p><strong>PhD, Associate professor</strong></p>
<p>Department of Banking Business and Innovative Financial Technologies</p>
<p>Department of Banking Business and Innovative Financial Technologies, Autonomous non-profit organization of higher education «International Banking Institute named after Anatoliy Sobchak»</p>
<p>60 Nevsky Ave., 191011, Saint Petersburg, Russia</p>
<p>Т.: +79219549889</p></bio><bio xml:lang="ru"><p><strong>к.э.н, доцент</strong></p>
<p>Кафедра банковского бизнеса и инновационных финансовых технологий</p>
<p>Автономная некоммерческая организация высшего образования «Международный банковский институт» имени Анатолия Собчака</p>
<p>191011, Невский пр., 60, Санкт-Петербург, Россия</p>
<p>Т.: +79219549889</p></bio></contrib></contrib-group><aff id="aff-1"><institution content-type="orgname">Автономная некоммерческая организация высшего образования «Международный банковский институт» имени Анатолия Собчака</institution></aff><pub-date date-type="collection"><year>2021</year></pub-date><pub-date date-type="pub" publication-format="epub"><day>25</day><month>06</month><year>2021</year></pub-date><issue seq="7">2 (36)</issue><issue-id>20</issue-id><fpage>87</fpage><lpage>105</lpage><pub-history><event event-type="received"><event-desc>Received: <date date-type="received" iso-8601-date="2026-04-09T14:19:22+00:00"><day>9</day><month>4</month><year>2026</year></date></event-desc></event></pub-history><permissions><copyright-statement>Copyright (c) 2021 Ученые записки Международного банковского института</copyright-statement><copyright-year>2021</copyright-year><copyright-holder>Ученые записки Международного банковского института</copyright-holder><license xlink:href="https://creativecommons.org/licenses/by-nc/4.0/"><license-p>&lt;a rel="license" href="https://creativecommons.org/licenses/by-nc/4.0/"&gt;&lt;img alt="Лицензия Creative Commons" src="//i.creativecommons.org/l/by-nc/4.0/88x31.png" /&gt;&lt;/a&gt;&lt;p&gt;Это произведение доступно по &lt;a rel="license" href="https://creativecommons.org/licenses/by-nc/4.0/"&gt;лицензии Creative Commons «Attribution-NonCommercial» («Атрибуция — Некоммерческое использование») 4.0 Всемирная&lt;/a&gt;.&lt;/p&gt;</license-p></license></permissions><self-uri xlink:href="https://journal.ibispb.ru/index.php/SciNotesIBI/article/download/263/264/914" content-type="application/pdf"/><self-uri xlink:href="https://journal.ibispb.ru/index.php/SciNotesIBI/article/view/263"/><abstract><p>Предлагается трехагентная модель поведения участников зеленого финансирования. Путем моделирования поведения основных участников анализируется механизм адаптации системы и агентов к внутреннему и внешнему давлению с целью сохранения их функциональности и повышения производительности и эффективности зеленого финансирования.</p>
<p>В работе объединяются две проблемы: характер взаимоотношений в сфере зеленых финансов на примере зеленых облигаций и локальных агентных моделей. Для этого уточняется понятие «зеленые финансы» и анализируется поведение участников зеленого финансирования. Агентно-ориентированная модель позволяет анализировать реалистичную картину поведения агентов, преследующих рациональные цели с учетом текущего поведения и субъективных ожиданий. Такое поведение в статье определяется как «мягкая» рациональность, которая отличается от традиционной рациональности, соответствующей гипотезе эффективного рынка, и иррационального поведения, соответствующего поведенческим финансам.</p></abstract><trans-abstract xml:lang="en">
<p>A three-agent model of behavior of participants of green financing is proposed. By modeling the behavior of the main participants, the mechanism of adaptation of the system and agents to internal and external pressure is analyzed in order to preserve their functionality and increase the productivity and efficiency of green financing.</p>
<p>The paper combines two problems: the nature of relations in the field of green finance on the example of green bonds and local agnet models. To do this, the concept of green finance is clarified and the behavior of participants in green finance is analyzed. The agent-based model allows you to analyze a realistic picture of the behavior of agents pursuing rational goals, taking into account current behavior and subjective expectations. This behavior is defined in the article as «soft» rationality, which differs from traditional rationality, corresponding to the efficient market hypothesis, and irrational behavior, corresponding to behavioral finance.</p>
</trans-abstract><trans-abstract xml:lang="en&lt;div style=&quot;mso-element: para-border-div; border: none white 1.0pt; mso-border-alt: none white 0cm; padding: 31.0pt 31.0pt 31.0pt 31.0pt;&quot;&gt;&#10;&lt;p class=&quot;a&quot; style=&quot;margin-left: 0cm; text-indent: 36.0pt; tab-stops: 36.0pt 72.0pt 108.0pt 144.0pt 180.0pt 216.0pt 252.0pt 288.0pt 324.0pt 360.0pt 396.0pt 432.0pt;&quot;&gt;&lt;span lang=&quot;EN-US&quot; style=&quot;font-family: 'Times New Roman',serif; mso-ansi-language: EN-US;&quot;&gt;A three-agent model of behavior of participants of green financing is proposed. By modeling the behavior of the main participants, the mechanism of adaptation of the system and agents to internal and external pressure is analyzed in order to preserve their functionality and increase the productivity and efficiency of green financing.&lt;/span&gt;&lt;/p&gt;&#10;&lt;p class=&quot;a&quot; style=&quot;margin-left: 0cm; text-indent: 36.0pt; tab-stops: 36.0pt 72.0pt 108.0pt 144.0pt 180.0pt 216.0pt 252.0pt 288.0pt 324.0pt 360.0pt 396.0pt 432.0pt;&quot;&gt;&lt;span lang=&quot;EN-US&quot; style=&quot;font-size: 14.0pt; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;&quot;&gt;The paper combines two problems: the nature of relations in the field of green finance on the example of green bonds and local agnet models. To do this, the concept of green finance is clarified and the behavior of participants in green finance is analyzed. The agent-based model allows you to analyze a realistic picture of the behavior of agents pursuing rational goals, taking into account current behavior and subjective expectations. 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