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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">10.32609/0042-8736-2020-6-80-103</article-id><article-id custom-type="elpub" pub-id-type="custom">voprecotest-2484</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>Измерение конкурентоспособности по качеству: что не так с высокотехнологичным экспортом?</article-title><trans-title-group xml:lang="en"><trans-title>Measuring quality-based competitiveness: What’s wrong with high-tech exports?</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., ведущий эксперт ЦМАКП, с. н. с. ИНП РАН, с. н. с. НИУ ВШЭ</p><p>SPIN-код РИНЦ: 2707-6004; WoS ResearcherID: D-7048-2017; Scopus AuthorID: 55935059300</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-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Центр макроэкономического анализа и краткосрочного прогнозирования; Институт народнохозяйственного прогнозирования РАН; Национальный исследовательский университет «Высшая школа экономики»</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Center for Macroeconomic Analysis and Short-Term Forecasting; Institute of Economic Forecasting, RAS; National Research University Higher School of Economics</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2020</year></pub-date><pub-date pub-type="epub"><day>07</day><month>06</month><year>2020</year></pub-date><volume>0</volume><issue>6</issue><fpage>80</fpage><lpage>103</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Voprosy Ekonomiki, NP, 2020</copyright-statement><copyright-year>2020</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/2484">https://www.vopreco.ru/jour/article/view/2484</self-uri><abstract><p>В статье предлагается способ измерения конкурентоспособности стран по качеству на основе данных о доле высокотехнологичных товаров в экспорте и интенсивности НИОКР. Решается проблема несоответствия между уровнем технологического развития стран и долей высокотехнологичной продукции в их экспорте, возникающая в результате широкого распространения сборочных производств, реэкспорта, неравномерности запасов «высокотехнологичного сырья», размещения производств в «налоговых гаванях». В работе предлагается способ обеспечить корректность использования данных о внешней торговле высокотехнологичными товарами как прокси уровня технологического развития стран. С применением методов статистического и графического анализа продемонстрированы масштаб проблемы и недостаточность предложенных в научной литературе мер (прежде всего «вычищения» промежуточного импорта) по ее решению. Разработан новый индекс интенсивности НИОКР на уровне товаров на основе информации о структуре экспорта по товарам и странам-производителям и интенсивности НИОКР, оценена средневзвешенная интенсивность НИОКР, соответствующая структуре экспорта каждой страны. Получен уточненный перечень ведущих стран по доле высокотехнологичного экспорта, более соответствующий традиционному списку стран — лидеров по интенсивности НИОКР (Япония, Южная Корея, Израиль, Германия, США, Франция). Показано, что Китай даже после корректировки сохраняет членство в клубе технологических лидеров.</p></abstract><trans-abstract xml:lang="en"><p>We propose an approach to measure countries’ quality-based competitiveness relying on the share of high-tech products in exports and R&amp;D intensity. We try to cope with the issue of discrepancy between the level of technological development of countries and the share of high-tech products in their exports that arises as a result of assembly production, re-exports, unequal endowments of “high-tech raw materials” and the attractiveness of tax havens. The task of the paper is to ensure the correct use of data on trade in high-tech products as a proxy for countries’ level of technological development. Relying on statistical and graphical analysis methods, we show that the problem is more complex that is generally considered, and that the ways to solve it proposed in the literature (primarily, subtracting intermediate imports) are far from being sufficient. We propose the index of R&amp;D intensity at the product level based on the data on export structure (by products and producing countries) and R&amp;D intensity, and calculate the weighted average R&amp;D intensity that corresponds to each country’s export structure. As a result, we provide an updated view on the leading countries by the share of high-tech products in exports that is consistent with the traditional list of leaders by R&amp;D intensity (Japan, South Korea, Israel, Germany, USA, and France). We also demonstrate that China, even after the adjustment procedure, is still a member of the technology leaders’ club.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>конкурентоспособность</kwd><kwd>высокотехнологичные товары</kwd><kwd>экспорт</kwd><kwd>НИОКР</kwd></kwd-group><kwd-group xml:lang="en"><kwd>competitiveness</kwd><kwd>high-tech products</kwd><kwd>exports</kwd><kwd>R&amp;D</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Статья подготовлена в рамках программы фундаментальных исследований НИУ ВШЭ в 2020 г. (ТЗ-16). Автор благодарит анонимного рецензента за комментарии и предложения, позволившие улучшить качество статьи в части обоснования результатов и применения альтернативных процедур оценки.</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">Aiginger K. (1997). 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