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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">mir</journal-id><journal-title-group><journal-title xml:lang="ru">МИР (Модернизация. Инновации. Развитие)</journal-title><trans-title-group xml:lang="en"><trans-title>MIR (Modernization. Innovation. Research)</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2079-4665</issn><issn pub-type="epub">2411-796X</issn><publisher><publisher-name>School of Public Administration</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18184/2079-4665.2021.12.2.182-196</article-id><article-id custom-type="elpub" pub-id-type="custom">mir-1155</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>РАЗВИТИЕ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>RESEARCH</subject></subj-group></article-categories><title-group><article-title>Профессиональная сегрегация по признакам пола и неравенства в оплате труда в разбивке по образованию, возрасту и мобильности (Южная Суматра, Индонезия)</article-title><trans-title-group xml:lang="en"><trans-title>Occupational Segregation Based on Gender and Wage Inequality by Education, Age and Mobility (South Sumatra, Indonesia)</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Курниаван</surname><given-names>Арика</given-names></name><name name-style="western" xml:lang="en"><surname>Kurniawan</surname><given-names>Arika</given-names></name></name-alternatives><bio xml:lang="ru"><p>Арика Курниаван, аспирант</p><p>30128, Южная Суматра, Палембанг, Илир Барат 1 </p></bio><bio xml:lang="en"><p>Arika Kurniawan, Postgraduate Student</p><p>Ilir Barat 1, Palembang, South Sumatra, 30128 </p></bio><email xlink:type="simple">Arikakurniawan@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Азварди</surname><given-names>A.</given-names></name><name name-style="western" xml:lang="en"><surname>Azwardi</surname><given-names>А.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Азварди, доктор экономики, преподаватель</p><p>30128, Южная Суматра, Палембанг, Илир Барат 1 </p></bio><bio xml:lang="en"><p>Azwardi, Doctor (Economics), Lecturer </p><p>Ilir Barat 1, Palembang, South Sumatra, 30128 </p></bio><email xlink:type="simple">azwardi@fe.unsri.ac.id</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Юнисвита</surname><given-names>A.</given-names></name><name name-style="western" xml:lang="en"><surname>Yunisvita</surname><given-names>А.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Юнисвита, доктор экономики, преподаватель</p><p>30128, Южная Суматра, Палембанг, Илир Барат 1 </p></bio><bio xml:lang="en"><p>Yunisvita, Doctor (Economics), Lecturer </p><p>Ilir Barat 1, Palembang, South Sumatra, 30128 </p></bio><email xlink:type="simple">yunisvita@unsri.ac.id</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Экономический факультет, Университет Шривиджая (UNSRI)</institution><country>Индонезия</country></aff><aff xml:lang="en"><institution>Faculty Economics, Sriwijaya University (UNSRI)</institution><country>Indonesia</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>14</day><month>07</month><year>2021</year></pub-date><volume>12</volume><issue>2</issue><fpage>182</fpage><lpage>196</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Курниаван А., Азварди A., Юнисвита A., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Курниаван А., Азварди A., Юнисвита A.</copyright-holder><copyright-holder xml:lang="en">Kurniawan A., Azwardi А., Yunisvita А.</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://www.mir-nayka.com/jour/article/view/1155">https://www.mir-nayka.com/jour/article/view/1155</self-uri><abstract><p>Цель данного исследования – измерение гендерной сегрегации по профессиям и неравенству в оплате труда в провинции Южная Суматра в 2019 г. на основе общей, вертикальной и горизонтальной сегрегации с точки зрения предложения рабочей силы, а именно, различий в заработной плате, продолжительности рабочего времени, в возрасте, уровне образования и мобильности (в сельской и городской местности) респондентов.Методы или методология проведения работы. Представленное исследование базируется на вторичном анализе информации, полученной в результате обследования рабочей силы в провинции Южная Суматра 2019 г. (SAK19.AK), включающего данные о работающих на указанный момент лицах в возрасте от 15-ти до 64-х лет – всего 10 429 человек, в том числе 6873 мужчин и 3556 женщин. Классификация основных профессий выполнена с использованием методов количественного анализа, а именно, исследование сегрегации опирается на общие, вертикальные и горизонтальные измерения на основе коэффициента Джини, статистики Somer D и теоремы Пифагора.Результаты работы. (1) Женщины региона более сегрегированы по признаку основного занятия, особенно в профессиях с высоким социальным расслоением и по группам заработной платы. (2) Женщины имеют больше преимуществ на рабочих местах с низким социальным расслоением и в категории высшего образования. (3) Не присутствует неравенства в оплате труда по основным профессиям, образованию, возрасту и мобильности.Выводы. Результаты исследования доказывают, что существует высокая сегрегация по группам заработной платы и образования. Женщины уделяют особое внимание повышению уровня образования, поскольку на основе вертикальной сегрегации выявлено, что женщины с более высоким уровнем образования получают больше преимуществ и занимают рабочие места, равные с мужчинами, в зависимости от стратификации заработной платы.</p></abstract><trans-abstract xml:lang="en"><p>Purpose: this study measures gender segregation by occupations and wage inequality based on overall segregation, vertical segregation, and horizontal segregation in terms of labour supply, namely differences in wages, hours of work, age, level of education, and mobility (rural and urban) in South Sumatra Province in 2019.Methods: the data used in this study are secondary data sourced from the 2019 South Sumatra Province Labour Force Survey (SAK19.AK) which is limited to individuals aged 15 to 64 who are currently working, namely as many as 10,429 individuals, of whom 6,873 men and 3,556 women. Classification of the main occupations using quantitative analysis techniques, namely measuring segregation is based on the overall, vertical and horizontal dimensions based on the Gini coefficient, Somer D Statistic, and Pythagorean Theorem.Results: (1) Women are more segregated based on the main occupations, especially jobs with high social stratification and wage groups. (2) Women have more advantages in workplaces with low social stratification and higher education categories. (3) There is no wage inequality based on the main occupations, education, age, and mobility.Conclusions and Relevance: the results of the study prove that there is high segregation based on wage groups and educational composition. Women emphasize increasing education because based on vertical segregation, women with higher education level advantage more and they occupy jobs that are equal to men based on wage stratification.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>профессиональная сегрегация</kwd><kwd>неравенство в оплате труда</kwd><kwd>гендерный разрыв</kwd><kwd>образование</kwd><kwd>возраст</kwd><kwd>мобильность</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Occupational Segregation</kwd><kwd>Wage Inequality</kwd><kwd>Gender Gap</kwd><kwd>Education</kwd><kwd>Age</kwd><kwd>Mobility</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">Agrawal T. Occupational Segregation in the Indian Labor Market. European Journal of Development Research. 2016; 28(2):330–351. https://doi.org/10.1057/ejdr.2015.10</mixed-citation><mixed-citation xml:lang="en">Agrawal T. 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