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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">10.32609/0042-8736-2023-12-48-65</article-id><article-id custom-type="elpub" pub-id-type="custom">voprecotest-4490</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>МЕЖДУНАРОДНАЯ ЭКОНОМИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>INTERNATIONAL ECONOMICS</subject></subj-group></article-categories><title-group><article-title>«Уходя — уходи»: кто остается с Россией и как перераспределяется импорт?</article-title><trans-title-group xml:lang="en"><trans-title>“Having leapt never look back”: Who stays with Russia and how are imports redistributed?</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0678-8324</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Гнидченко</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Gnidchenko</surname><given-names>A. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Гнидченко Андрей Андреевич, к. э. н., вед. Эксперт ЦМАКП;</p><p>с. н. с. ИНП РАН;</p><p>с. н. с. НИУ ВШЭ</p><p>Москва</p></bio><bio xml:lang="en"><p>Andrey A. Gnidchenko</p><p>Moscow</p></bio><email xlink:type="simple">agnidchenko@forecast.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8703-1568</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Михеева</surname><given-names>О. М.</given-names></name><name name-style="western" xml:lang="en"><surname>Mikheeva</surname><given-names>O. M.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Михеева Ольга Михайловна, к. э. н., вед. эксперт ЦМАКП;</p><p>с. н. с. ИНП РАН;</p><p>н.  с. НИУ ВШЭ</p><p>Москва</p></bio><bio xml:lang="en"><p>Olga M. Mikheeva</p><p>Moscow</p></bio><email xlink:type="simple">omikheeva@forecast.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4528-4348</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Сальников</surname><given-names>В. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Salnikov</surname><given-names>V. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Сальников Владимир Алексеевич, к. э. н., руководитель направления анализа и прогнозирования развития отраслей реального сектора ЦМАКП;</p><p>завлабораторией ИНП РАН;</p><p>вед. н. с. НИУ ВШЭ</p><p>Москва</p></bio><bio xml:lang="en"><p>Vladimir A. Salnikov</p><p>Moscow</p></bio><email xlink:type="simple">vs@forecast.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Центр макроэкономического анализа и краткосрочного прогнозирования;&#13;
Институт народнохозяйственного прогнозирования РАН;&#13;
Национальный исследовательский университет «Высшая школа экономики»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Center for Macroeconomic Analysis and Short-Term Forecasting;&#13;
Institute for Economic Forecasting, Russian Academy of Sciences;&#13;
HSE University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>05</day><month>12</month><year>2023</year></pub-date><volume>0</volume><issue>12</issue><fpage>48</fpage><lpage>65</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Voprosy Ekonomiki, NP, 2023</copyright-statement><copyright-year>2023</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/4490">https://www.vopreco.ru/jour/article/view/4490</self-uri><abstract><p>В статье исследуется разделение стран по политическому отношению к России после начала специальной военной операции на Украине и введения широкомасштабных санкций, иллюстрируется значимость санкционного фактора и политического отношения к РФ для экспорта на российские рынки на основании доступных статистических данных. Страны классифицируются по признаку их участия в санкционном давлении на РФ и голосованию по резолюциям ООН, осуждающим действия России. Кроме «недружественных», выделяются три группы дружественных стран — «осторожные» (голосование за резолюции ООН), «колеблющиеся» (несистематическое голосование) и «сочувствующие» (голосование против резолюций или их игнорирование). В соответствии с данными о внешней торговле с Россией к кластеру «сочувствующих» относятся большинство стран, нарастивших экспорт в нее в 2022 г. На примере ЕС и Китая показано, что импорт санкционных товаров перераспределяется активнее, чем ввоз остальных; перечислены наиболее значимые товарные позиции, по которым отмечено успешное или неудачное перераспределение импорта.</p></abstract><trans-abstract xml:lang="en"><p>We examine the division of countries according to their political attitude towards Russia after the launch of a special military operation in Ukraine and the introduction of large-scale sanctions, and illustrate the importance of sanctions and political attitude to Russia for countries’ exports there with the available statistical data. The countries are clustered by their participation in sanctions pressure on Russia and voting on six UN resolutions condemning Russia’s actions. Except for hostile countries, we distinguish three groups of friendly countries — “cautious” (voting for UN resolutions), “wavering” (non-systematic voting), and “sympathetic” (voting against resolutions or ignoring them). According to mirror data on foreign trade with Russia, most countries which increased their exports to Russia in 2022 belong to the “sympathizers” group. Relying on the evidence from the EU and China, we demonstrate that imports of sanctioned goods are redistributed more actively than other imports. We list major products which imports were redistributed successfully or unsuccessfully.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>санкции</kwd><kwd>дружественные страны</kwd><kwd>кластеризация</kwd><kwd>перераспределение импорта</kwd><kwd>ЕС</kwd><kwd>Китай</kwd></kwd-group><kwd-group xml:lang="en"><kwd>sanctions</kwd><kwd>friendly countries</kwd><kwd>clusterization</kwd><kwd>import redistribution</kwd><kwd>EU</kwd><kwd>China</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">Bailey M., Strezhnev A., Voeten E. (2017). 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