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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">guuvest</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник университета</journal-title><trans-title-group xml:lang="en"><trans-title>Vestnik Universiteta</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1816-4277</issn><issn pub-type="epub">2686-8415</issn><publisher><publisher-name>State University of Management</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26425/1816-4277-2019-9-166-172</article-id><article-id custom-type="elpub" pub-id-type="custom">guuvest-1729</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>ФИНАНСЫ И БАНКОВСКОЕ ДЕЛО</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>FINANCE AND BANKING</subject></subj-group></article-categories><title-group><article-title>ПЕРСПЕКТИВЫ ПРИМЕНЕНИЯ ТЕХНОЛОГИИ РАСПРЕДЕЛЕННОГО РЕЕСТРА ДЛЯ УЛУЧШЕНИЯ ФИНАНСИРОВАНИЯ СТАРТАПОВ (ОПЫТ ЯПОНИИ)</article-title><trans-title-group xml:lang="en"><trans-title>PROSPECTS FOR THE APPLICATION OF DISTRIBUTED LEDGER TECHNOLOGY TO IMPROVE FINANCING OF START-UP (JAPAN EXPERIENCE)</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8307-910X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Матвеевский</surname><given-names>С. C.</given-names></name><name name-style="western" xml:lang="en"><surname>Matveevskii</surname><given-names>S. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Матвеевский Сергей Сергеевич – кандидат технических наук</p><p>Москва</p></bio><bio xml:lang="en"><p>Matveevskii Sergey S. – Candidate of Technical Sciences</p><p>Moscow</p></bio><email xlink:type="simple">ssmatveevskii@fa.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГОБУ ВО «Финансовый университет при Правительстве Российской Федерации»</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>2019</year></pub-date><pub-date pub-type="epub"><day>26</day><month>10</month><year>2019</year></pub-date><volume>0</volume><issue>9</issue><fpage>166</fpage><lpage>172</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Матвеевский С.C., 2019</copyright-statement><copyright-year>2019</copyright-year><copyright-holder xml:lang="ru">Матвеевский С.C.</copyright-holder><copyright-holder xml:lang="en">Matveevskii S.S.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://vestnik.guu.ru/jour/article/view/1729">https://vestnik.guu.ru/jour/article/view/1729</self-uri><abstract><p>Рассмотрен проект использования технологии распределенного реестра для улучшения финансирования стартапов в Японии. Проект основан на применении технологии распределенного реестра, смарт-контрактов, базы больших данных кредитного риска стартапов (в Японии – CRDS), локального инвестиционного фонда, единой маркетинговой и торговой платформы. Модель поведения инвесторов, которая учитывает риск и доходность, позволила показать, что при росте доверия инвесторов (физических лиц и домохозяйств) и определенном уровне доходности стартапов, инвестирование в стартапы будет более предпочтительным по сравнению с банковским вкладом. Выделены особенности проекта и сделан вывод о том, что при определенных условиях приведенная схема финансирования стартапов может быть использована и в России, например, Фондом развития промышленности.</p></abstract><trans-abstract xml:lang="en"><p>A project on the use of distributed registry technology to improve funding for start-ups in Japan has been considered. The project is based on the application of distributed registry technology, smart contracts, a big database of start-ups credit risk (in Japan CRDS), a local investment fund, a unified marketing and trading platform. The model of investor behavior (taking into account risk and profitability) has made it possible to show, that with growing investor confidence (individuals and households) and a certain level of profitability of startups, investing in startups will be more preferable, than a bank deposit. The features of the project have been highlighted and a conclusion has been made, that under certain conditions, the adduced scheme for financing start-ups can be used in Russia, for example, by the Industry Development Fund.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>технология распределенного реестра</kwd><kwd>стартап</kwd><kwd>финансирование</kwd><kwd>риск</kwd><kwd>доходность</kwd></kwd-group><kwd-group xml:lang="en"><kwd>distributed ledger technology</kwd><kwd>startup</kwd><kwd>financing</kwd><kwd>risk</kwd><kwd>profitability</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">Вайгенд, А. Big data. Вся технология в одной книге / А. Вайгенд. – М.: Эксмо, 2017. – 432 c.</mixed-citation><mixed-citation xml:lang="en">Vaigend A. Big data. Vsya tekhnologiya v odnoi knige [Big data. All technology in one book]. 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