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<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.4 20241031//EN" "https://jats.nlm.nih.gov/archiving/1.4/JATS-archive-oasis-article1-4-mathml3.dtd">
<article xmlns:ali="http://www.niso.org/schemas/ali/1.0/" 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" article-type="research-article" xml:lang="ru"><front><journal-meta><issn publication-format="print">2072-6414</issn><issn publication-format="electronic">2411-1406</issn></journal-meta><article-meta><article-id pub-id-type="doi">10.17059/ekon.reg.2023-2-6</article-id><title-group xml:lang="en"><article-title>SOCIO-ECONOMIC DETERMINANTS OF TOBACCO CONSUMPTION IN RUSSIAN REGIONS</article-title></title-group><title-group xml:lang="ru"><article-title>СОЦИАЛЬНО-ЭКОНОМИЧЕСКИЕ ДЕТЕРМИНАНТЫ ПОТРЕБЛЕНИЯ ТАБАЧНОЙ ПРОДУКЦИИ В РЕГИОНАХ РОССИИ</article-title></title-group><contrib-group><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8282-6062</contrib-id><name-alternatives><name xml:lang="en"><surname>Doroshenko</surname><given-names>Svetlana V. </given-names></name><name xml:lang="ru"><surname>Дорошенко</surname><given-names>Светлана Викторовна</given-names></name></name-alternatives><email>doroshenkos@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-9826-9547</contrib-id><name-alternatives><name xml:lang="en"><surname>Sanaeva </surname><given-names>Olga V.</given-names></name><name xml:lang="ru"><surname>Санаева</surname><given-names>Ольга Владимировна </given-names></name></name-alternatives><email>olg.sanaev@yandex.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Institute of Economics of the Ural Branch of RAS</institution></aff><aff><institution xml:lang="ru">Институт экономики УрО РАН</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2023-06-29" publication-format="electronic"/><volume>19</volume><issue>2</issue><fpage>370</fpage><lpage>384</lpage><history><date date-type="received" iso-8601-date="2022-11-22"/><date date-type="accepted" iso-8601-date="2023-03-24"/></history><permissions><copyright-statement xml:lang="en">Copyright © 2023 Svetlana V. Doroshenko, Olga V. Sanaeva</copyright-statement><copyright-statement xml:lang="ru">Copyright © 2023 Светлана Викторовна Дорошенко, Ольга Владимировна Санаева</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="en">Svetlana V. Doroshenko, Olga V. Sanaeva</copyright-holder><copyright-holder xml:lang="ru">Светлана Викторовна Дорошенко, Ольга Владимировна Санаева</copyright-holder><ali:free_to_read/><license license-type="open-access" xlink:href="https://creativecommons.org/licenses/by/4.0/"><license-p>CC BY 4.0</license-p></license></permissions><self-uri content-type="html" mimetype="text/html" xlink:title="article webpage" xlink:href="https://www.economyofregions.org/ojs/index.php/er/article/view/358">https://www.economyofregions.org/ojs/index.php/er/article/view/358</self-uri><self-uri content-type="pdf" mimetype="application/pdf" xlink:title="article pdf" xlink:href="https://www.economyofregions.org/ojs/index.php/er/article/download/358/200">https://www.economyofregions.org/ojs/index.php/er/article/download/358/200</self-uri><abstract xml:lang="en"><p>Nowadays, it is necessary to analyse the influence of various socio-economic factors on the regional heterogeneity of tobacco consumption in Russia, since there is a lack of econometric studies based on regional data. The present study aims to assess the impact of financial, economic and educational factors on tobacco consumption in Russian regions. To this end, a simultaneous quantile regression approach, resistant to outliers, was applied to separately estimate the influence of the above factors on regions classified as light and heavy smokers. Panel data on 82 Russian regions for the period 2005-2019 was examined. The dependent variable is the percentage of household expenditures on tobacco obtained from a sample survey of household budgets. The main independent variables are education, income, unemployment, loan debt. Control variables include alcohol consumption, male-to-female ratio, divorce rate, proportion of the rural population, binary variables. The invariance of the impact of factors relative to the percentiles of regions was revealed. The greatest differences are observed between light and heavy smokers regions (q10 and q90 groups). Individual loan debts, average per capita income, alcohol consumption, increase in excise tax, divorces and emergence of e-cigarettes are significant for regions with low tobacco consumption and insignificant for regions with high consumption. High consumption regions are greatly influenced by the male-to-female ratio, number of graduates of secondary vocational institutions and proportion of the rural population. Such factors as higher education, crises and anti-tobacco laws are significant for each quintile. The results can be used to improve state policy measures to reduce the consumption of nicotine products. The study is limited by the lack of regional data in terms of age and gender.</p></abstract><abstract xml:lang="ru"><p>Высокий уровень потребления табачных изделий в России и региональная неоднородность этого явления актуализируют исследования по оценке влияния на него различных социально-экономических факторов. Подобных эконометрических исследований на основе российских региональных данных недостаточно. Цель исследования — оценить влияние финансово-экономических и образовательных факторов на уровень потребления табака в российских регионах. Впервые для такого исследования использован метод одновременной квантильной регрессии, устойчивый к выбросам и позволяющий оценить влияние факторов для «слабо курящих» и «сильно курящих» регионов по отдельности. Использованы панельные данные за 2005–2019 гг. по 82 субъектам РФ. В качестве зависимой переменной, отражающей уровень потребления табака в регионе, выбран процент расходов домохозяйств на табачные изделия на основе выборочного обследования бюджетов домашних хозяйств. Основные объясняющие переменные — уровень образования, дохода, безработицы и задолженности по кредитам. Контрольные переменные — потребление алкогольной продукции, соотношение мужчин и женщин, количество разводов и удельный вес сельского населения, бинарные переменные. В результате исследовнаия обнаружена инвариантность влияния факторов относительно процентилей регионов. Наибольшие различия прослеживаются между «слабо курящими» и «сильно курящими» регионами (группы q10 и q90). В регионах с низким уровнем потребления табака оказывают влияние объем задолженности физических лиц по кредитам, среднедушевой доход, употребление алкоголя, повышение акцизов, разводы и появление электронных сигарет. Однако они незначимы для регионов с высоким уровнем потребления, для которых значимыми факторами оказались соотношение женщин и мужчин, количество выпускников средних специальных учреждений и доля сельского населения. Вне зависимости от квантиля оказывают влияние наличие высшего образования, кризис и антитабачный закон. Результаты могут быть использованы при совершенствовании мер государственной политики противодействия потребления никотинсодержащей продукции. В качестве ограничения исследования можно отметить отсутствие региональных данных в возрастном и гендерном разрезе.
 </p></abstract><kwd-group xml:lang="en"><kwd>Russian regions, tobacco, factors, education, debt, unemployment, income, alcohol, divorce, quantile regression</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>регионы России, табачная продукция, факторы, образование, задолженность, безработица, доходы, алкоголь, разводы, квантильная регрессия</kwd></kwd-group></article-meta></front><body/><back><ack xml:lang="en"><p>The article has been prepared in accordance with the research plan of the Institute of Economics of the Ural Branch of RAS for 2021–2023 “Institutional models and factors of social and economic adaptation of the regional population in the context of the transition to dynamic development”.</p></ack><ack xml:lang="ru"><p>Исследование проводится в рамках темы плана НИР Института экономики УрО РАН на 2021-2023 гг. «Институциональные модели и факторы социальной и экономической адаптации населения региона в условиях перехода к динамичному развитию».</p></ack><ref-list><ref id="en-ref1"><label>1</label><mixed-citation xml:lang="en">Arcaya, M., Glymour, M., Christakis, N. 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