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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">voprstat</journal-id><journal-title-group><journal-title xml:lang="ru">Вопросы статистики</journal-title><trans-title-group xml:lang="en"><trans-title>Voprosy Statistiki</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2313-6383</issn><issn pub-type="epub">2658-5499</issn><publisher><publisher-name>The Federal State Budgetary Institution "Scientific Research Institute for Socio-Economic Statistics of the Federal State Statistics Service" (Statistics Research Institute of Rosstat)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.34023/2313-6383-2024-31-1-5-21</article-id><article-id custom-type="elpub" pub-id-type="custom">voprstat-1683</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>ВОПРОСЫ МЕТОДОЛОГИИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ISSUES OF METHODOLOGY</subject></subj-group></article-categories><title-group><article-title>Новые измерители неопределенности деловой среды в российской экономике</article-title><trans-title-group xml:lang="en"><trans-title>New Indicators of Business Uncertainty in the Russian Economy</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-0974-8723</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Лола</surname><given-names>И. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Lola</surname><given-names>I. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Лола Инна Сергеевна – канд. экон. наук, заместитель директора, Центр конъюнктурных исследований Института статистических исследований и экономики знаний</p><p>101000, г. Москва, Славянская пл., д. 4, стр. 2</p></bio><bio xml:lang="en"><p>Inna S. Lola – Cand. Sci. (Econ.), Deputy Director, Centre for Business Tendency Studies, Institute for Statistical Studies and Economics of Knowledge</p><p>4, Slavyanskaya Sq., Bldg. 2, Moscow, 101000</p></bio><email xlink:type="simple">ilola@hse.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/0000-0002-3144-2544</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Бакеев</surname><given-names>М. Б.</given-names></name><name name-style="western" xml:lang="en"><surname>Bakeev</surname><given-names>М. В.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Бакеев Мурат Булатович – аспирант, факультет экономических наук</p><p>109028, г. Москва, Покровский бульвар, д. 11</p></bio><bio xml:lang="en"><p>Murat B. Bakeev – Postgraduate Student, Faculty of Economic Sciences</p><p>11, Pokrovsky Blvd., Moscow, 109028</p></bio><email xlink:type="simple">mbakeev@hse.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/0000-0002-5899-8024</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Мануков</surname><given-names>А. Б.</given-names></name><name name-style="western" xml:lang="en"><surname>Manukov</surname><given-names>А. В.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Мануков Антон Борисович – ведущий аналитик, Центр конъюнктурных исследований Института статистических исследований и экономики знаний</p><p>101000, г. Москва, Славянская пл., д. 4, стр. 2</p></bio><bio xml:lang="en"><p>Anton B. Manukov – Leading Analyst, Centre for Business Tendency Studies, Institute for Statistical Studies and Economics of Knowledge</p><p> 4, Slavyanskaya Sq., Bldg. 2, Moscow, 101000</p></bio><email xlink:type="simple">amanukov@hse.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Национальный исследовательский университет «Высшая школа экономики»<country>Россия</country></aff><aff xml:lang="en">National Research University Higher School of Economics (HSE University)<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2024</year></pub-date><pub-date pub-type="epub"><day>22</day><month>02</month><year>2024</year></pub-date><volume>31</volume><issue>1</issue><fpage>5</fpage><lpage>21</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Лола И.С., Бакеев М.Б., Мануков А.Б., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Лола И.С., Бакеев М.Б., Мануков А.Б.</copyright-holder><copyright-holder xml:lang="en">Lola I.S., Bakeev М.В., Manukov А.В.</copyright-holder><license 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://voprstat.elpub.ru/jour/article/view/1683">https://voprstat.elpub.ru/jour/article/view/1683</self-uri><abstract><p>В статье изложены основные результаты исследования по разработке методики и апробации инструментария, для регулярного мониторинга деловой среды в России посредством измерения уровня ее неопределенности и выявления степени ее влияния на динамику экономической активности на основе анализа конъюнктурных обследований бизнеса. Данная методика впервые протестирована для оценки неопределенности деловой среды и ее воздействия на цифровое и технологическое развитие российских промышленных предприятий.</p><p>Источником данных для исследования послужили регулярные выборочные опросы руководителей организаций за период с 2009 по 2022 г. Задействованы две независимые базы данных: квартальные обследования деловой активности организаций различных видов экономической деятельности для построения национального и отраслевых индикаторов неопределенности деловой среды и ежегодные пилотные обследования цифровой активности промышленных предприятий для построения индикатора неопределенности в области цифрового и технологического развития промышленности.</p><p>Все рассчитанные композитные индикаторы смогли выявить значимые для России особенности экономической конъюнктуры, связанные с шоковыми событиями. Так, при анализе флуктуации исследуемых индикаторов четко обнаруживаются «всплески» в ответ на шоки конъюнктуры в 2020 и 2022 гг. В целом период с 2020 г. по настоящее время характеризуется как период продолжительного кризиса, обусловленного ростом неопределенности в российской экономической среде, беспрецедентный масштаб которого был оценен с помощью построенных измерителей.</p><p>По мнению авторов, предложенные композитные индикаторы расширяют аналитические возможности использования данных конъюнктурных мониторингов, создавая предпосылки для регулярного отслеживания изменений уровня неопределенности деловой среды, и повышают оперативную ценность предоставляемой компаниями информации. Это обеспечивает разработку более точных сценарных социально-экономических прогнозов.</p></abstract><trans-abstract xml:lang="en"><p>The purpose of the article is to present the main results of the study on the development of methods and testing of tools necessary for continuous monitoring of the business environment in Russia by measuring the level of its uncertainty and identifying the degree of its influence on the dynamics of economic activity based on the analysis of business tendency surveys. This methodology was tested for the first time to assess the level of uncertainty in the business environment and its impact on the digital and technological development of domestic industrial enterprises.</p><p>The source of data for the study is regular sample surveys of business leaders for the period from 2009 to 2022. Two independent databases are used: quarterly surveys of business activity of organizations of various types of economic activity to build national and industry indicators of uncertainty in the business environment and annual pilot surveys of digital activity of industrial enterprises to construct an indicator of uncertainty in the field of digital and technological development of industry.</p><p>All calculated composite indicators were able to identify significant features of the economic situation for the Russian economy associated with shock events. When analyzing the fluctuations of the indicators under study, «spikes» are clearly detected in response to the shocks of the business tendencies in 2020 and 2022. In general, the period from 2020 to the present is characterized as a period of prolonged crisis associated with growing uncertainty in the Russian economic environment, the unprecedented scale of which was demonstrated by the constructed indicators.</p><p>According to the authors, the proposed composite indicators expand the analytical capabilities of business tendency surveys data, creating the prerequisites for regular monitoring of changes in the level of uncertainty in the business environment and increasing the operational value of the information provided by companies. This allows to develop more accurate socio-economic scenario forecasts.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>экономика России</kwd><kwd>неопределенность деловой среды</kwd><kwd>экономическая конъюнктура</kwd><kwd>статистические методы</kwd><kwd>статистическое обследование</kwd><kwd>экономическое прогнозирование</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Russian economy</kwd><kwd>uncertainty of the business environment</kwd><kwd>business tendencies</kwd><kwd>statistical methods</kwd><kwd>statistical survey</kwd><kwd>economic forecasting</kwd></kwd-group><funding-group xml:lang="ru"><funding-statement>Статья подготовлена в ходе проведения исследования в рамках Программы фундаментальных исследований Национального исследовательского университета «Высшая школа экономики».</funding-statement></funding-group><funding-group xml:lang="en"><funding-statement>The article was prepared as a part of the Basic Research Program of the National Research University Higher School of Economics.</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">Cascaldi-Garcia D. et al. 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