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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">qainar</journal-id><journal-title-group><journal-title xml:lang="ru">Qainar Journal of Social Science</journal-title><trans-title-group xml:lang="en"><trans-title>Qainar Journal of Social Science</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2958-7212</issn><issn pub-type="epub">2958-7220</issn><publisher><publisher-name>Q University</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.58732/2958-7212-2022-4-35-48</article-id><article-id custom-type="elpub" pub-id-type="custom">qainar-13</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>Статьи</subject></subj-group></article-categories><title-group><article-title>Оценка уровня депрессивности и уязвимости населенных пунктов: на примере регионов западного Казахстана</article-title><trans-title-group xml:lang="en"><trans-title>Assessment of the Level of Depression and Vulnerability of Settlements: on the Example of the Regions of Western Kazakhstan</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3412-3706</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Киреева</surname><given-names>А. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Kireyeva</surname><given-names>A. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Автор корреспондент, к.э.н., ассоциированный профессор</p><p>Алматы</p></bio><bio xml:lang="en"><p>Anel A. Kireyeva – correspondent author, PhD, Associate Professor</p><p>Almaty</p></bio><email xlink:type="simple">kireyeva.anel@ieconom.kz</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-4210-3783</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Нурланова</surname><given-names>Н. К.</given-names></name><name name-style="western" xml:lang="en"><surname>Nurlanova</surname><given-names>N. K.</given-names></name></name-alternatives><bio xml:lang="ru"><p>К.э.н., профессор</p><p>Алматы</p></bio><bio xml:lang="en"><p>Nailya K. Nurlanova – Doctor of Economics, Professor</p><p>Almaty</p></bio><email xlink:type="simple">n.k.nurlanova@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1232-4788</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кенжегулова</surname><given-names>Г. К.</given-names></name><name name-style="western" xml:lang="en"><surname>Kenzhegulova</surname><given-names>G. K.</given-names></name></name-alternatives><bio xml:lang="ru"><p>PhD докторант</p><p>Алматы</p></bio><bio xml:lang="en"><p>Gaukhar G. Kenzhegulova – PhD student</p><p>Almaty</p></bio><email xlink:type="simple">gaukhar.kenzhegulova@gmail.com</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-1447-1298</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кенжеали</surname><given-names>Е. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Kenzheali</surname><given-names>Y.</given-names></name></name-alternatives><bio xml:lang="ru"><p>PhD докторант</p><p>Алматы</p></bio><bio xml:lang="en"><p>Yerkezhan Kenzheali – PhD student</p><p>Almaty</p></bio><email xlink:type="simple">y.kenzheali@gmail.com</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Институт экономики КН МНВО РК<country>Казахстан</country></aff><aff xml:lang="en">Institute of Economics MSHE RK<country>Kazakhstan</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Университет НАРХОЗ<country>Казахстан</country></aff><aff xml:lang="en">NARXOZ University<country>Kazakhstan</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru">Университет Международного Бизнеса имени К. Сагадиева<country>Казахстан</country></aff><aff xml:lang="en">University of International Business named after Sagadiyev K.<country>Kazakhstan</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2022</year></pub-date><pub-date pub-type="epub"><day>23</day><month>12</month><year>2022</year></pub-date><volume>1</volume><issue>4</issue><fpage>35</fpage><lpage>48</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Киреева А.А., Нурланова Н.К., Кенжегулова Г.К., Кенжеали Е.А., 2022</copyright-statement><copyright-year>2022</copyright-year><copyright-holder xml:lang="ru">Киреева А.А., Нурланова Н.К., Кенжегулова Г.К., Кенжеали Е.А.</copyright-holder><copyright-holder xml:lang="en">Kireyeva A.A., Nurlanova N.K., Kenzhegulova G.K., Kenzheali Y.</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.journal-kainar.kz/jour/article/view/13">https://www.journal-kainar.kz/jour/article/view/13</self-uri><abstract><p>Целью исследования является оценка уровня уязвимости экономики и социальной сферы депрессивных населенных пунктов на примере регионов западного Казахстана (Атырауской, Мангистауской и Западно-Казахстанской). Для визуализации данных были использованы следующие методы исследования: библиографическая, табличная и группировка данных. Исходные данные за 2009-2020 гг. для исследования были взяты из статистических данных Бюро национальной статистики, региональных департаментов по статистике, различных электронных ресурсов и др. По результатам анализа были получены показатели развития районов в Мангистауской, Атырауской и Западно-Казахстанской областей, в составе которых были выявлены депрессивные и уязвимые территории. Полученные данные свидетельствуют о том, что в уязвимых районах Казахстана существует значительное межрегиональное неравенство по показателям уровня и качества жизни. Ряд социальных индикаторов уровня и качества жизни населения имеют огромные межрегиональные разрывы. Проведенный анализ в целом позволяет позитивно оценить возможности перспективного развития данных территорий в рамках исторически сложившейся специализации экономики по наличию транспортных потоков между городами и регионами. В то же время наметить пути по дальнейшей диверсификации их экономики для вывода из состояния депрессивности и уязвимости. Разработанная методика была апробирована на примере регионов Западного Казахстана, что доказывает возможность ее применения как органами управления для выявления населенных пунктов, нуждающихся в государственной поддержке, так и в дальнейших исследования.</p></abstract><trans-abstract xml:lang="en"><p>The aim of the study is to assess the level of vulnerability of the economy and social sphere of depressed settlements in the example of the regions of western Kazakhstan (Atyrau, Mangystau and West Kazakhstan). The following research methods were used to visualize the data: bibliographic, tabular, and grouping of data. The initial data for 2009-2020 for the study were taken from statistical data of the Bureau of National Statistics, regional departments of statistics, various electronic resources, etc. According to the results of the analysis, indicators of the development of districts in Mangystau, Atyrau and West Kazakhstan regions were obtained, in which depressed and vulnerable territories were identified. The data obtained indicate that in vulnerable areas of Kazakhstan there is significant interregional inequality in terms of the level and quality of life. A number of social indicators of the level and quality of life of the population have huge interregional gaps. The analysis as a whole makes it possible to positively assess the possibilities of the prospective development of these territories within the framework of the historically developed specialization of the economy in the presence of transport flows between cities and regions. At the same time, to outline ways to further diversify their economies in order to get out of the state of depression and vulnerability. The developed methodology was tested on the example of the regions of Western Kazakhstan, which proves the possibility of its application both by government authorities to identify settlements in need of state support and in further research.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>уровень депрессивности</kwd><kwd>уровень уязвимости</kwd><kwd>населённые пункты</kwd><kwd>рейтинговая оценка</kwd><kwd>Казахстан</kwd></kwd-group><kwd-group xml:lang="en"><kwd>level of depression</kwd><kwd>level of vulnerability</kwd><kwd>settlements</kwd><kwd>rating assessment</kwd><kwd>Kazakhstan</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">Butterworth P., Olesen S.C., Leach L.S. (2012). 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