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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">ecr-journal</journal-id><journal-title-group><journal-title xml:lang="ru">Экономическая наука современной России</journal-title><trans-title-group xml:lang="en"><trans-title>Economics of Contemporary Russia</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1609-1442</issn><issn pub-type="epub">2618-8996</issn><publisher><publisher-name>Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.33293/1609-1442-2020-1(88)-67-81</article-id><article-id custom-type="elpub" pub-id-type="custom">ecr-journal-410</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>ЭКОНОМИЧЕСКАЯ ПОЛИТИКА И ХОЗЯЙСТВЕННАЯ ПРАКТИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ECONOMICAL POLICY AND ECONOMICAL PRACTICE</subject></subj-group></article-categories><title-group><article-title>Оценка конкурентоспособности моногородов Самарской области</article-title><trans-title-group xml:lang="en"><trans-title>Estimation of Competitiveness of Single-Industry Towns of the Samara Region</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6806-9210</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кужанбаева</surname><given-names>Юлия Ришатовна</given-names></name><name name-style="western" xml:lang="en"><surname>Kuzhanbaeva</surname><given-names>Julia Rishatovna</given-names></name></name-alternatives><email xlink:type="simple">y_gabbasova@mail.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/0000-0003-0245-9491</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Кужанбаев</surname><given-names>Рустам Тауфихович</given-names></name><name name-style="western" xml:lang="en"><surname>Kuzhanbaev</surname><given-names>Rustam Taufihovich</given-names></name></name-alternatives><email xlink:type="simple">rustam_zvuk@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Гусева</surname><given-names>Мария Сергеевна</given-names></name><name name-style="western" xml:lang="en"><surname>Guseva</surname><given-names>Maria S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>кандидат экономических наук, доцент кафедры региональной экономики и управления</p></bio><email xlink:type="simple">gusevams@yandex.ru</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>ФГБОУ ВО «Самарский государственный экономический университет», Самара</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Samara State University of Economics</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>ФГАОУ ВО «Самарский национальный исследовательский университет имени академика С. П. Королёва», Самара</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Samara National Research University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>ФГБОУ ВО «Самарский государственный экономический университет», Самара</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Samara State University of Economics, Samara</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2020</year></pub-date><pub-date pub-type="epub"><day>04</day><month>04</month><year>2020</year></pub-date><volume>0</volume><issue>1</issue><fpage>67</fpage><lpage>81</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Кужанбаева Ю.Р., Кужанбаев Р.Т., Гусева М.С., 2020</copyright-statement><copyright-year>2020</copyright-year><copyright-holder xml:lang="ru">Кужанбаева Ю.Р., Кужанбаев Р.Т., Гусева М.С.</copyright-holder><copyright-holder xml:lang="en">Kuzhanbaeva J.R., Kuzhanbaev R.T., Guseva M.S.</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.ecr-journal.ru/jour/article/view/410">https://www.ecr-journal.ru/jour/article/view/410</self-uri><abstract><p>В целях предупреждения негативных социально-экономических тенденций, прогнозирования социальных последствий принимаемых решений по вопросам реализации государственной политики в сфере развития монопрофильных территорий органами государственной власти осуществляется мониторинг социально-экономической ситуации в моногородах на основе оценки ряда статистических показателей. Подобная дифференцированная оценка статистических параметров не позволяет комплексно оценить уровень развития и конкурентоспособности моногорода в разрезе территорий, что приобретает особую актуальность в современных условиях глокализации. Особый научный и практический интерес представляет сравнительный анализ уровня развития моногородов на основе интегрального показателя, учитывающего разные аспекты различных сфер жизни населения и позволяющего провести объективную оценку конкурентных позиций монопрофильных территорий, который в настоящее время органами государственной власти для мониторинга не используется. Цель работы состоит в оценке и обосновании условий и тенденций развития моногородов Самарской области на основе расчета интегрального показателя конкурентоспособности, учитывающего уровень развития сферы экономики, финансов, занятости, социальной обеспеченности и демографии, а также «уровень монопрофильности» территорий. В настоящем исследовании использованы методы системного анализа, метод сравнений и аналогий, метод обобщений, методы диалектического и статистического анализа, метод экспертных оценок, метод ретроспективных оценок и структурно-динамического анализа. В работе приведена обзорная характеристика моногородов регионов Приволжского федерального округа; представлены результаты апробации методики оценки конкурентоспособности моногородов Самарской области на основе интегрального показателя и выявлены тенденции его изменения в период 2013–2017 гг. В исследовании участвовали четыре моногорода Самарской области: с городскими округами (г. о.) Октябрьск, Похвистнево, Тольятти, Чапаевск. Проведенные расчеты показали, что г. о. Октябрьск на протяжении пяти лет состоял в числе аутсайдеров по четырем из шести обследуемых сфер (экономика, трудовые ресурсы, социальная сфера, демография), что обусловило самое низкое значение индекса конкурентоспособности и позволяло идентифицировать уровень конкурентоспособности моногорода как «ниже среднего». В относительно равных социально-экономических условиях находились г. о. Похвистнево, г. о. Тольятти и г. о. Чапаевск, уровень конкурентоспособности которых оказался выше среднего.</p></abstract><trans-abstract xml:lang="en"><p>In order to prevent negative socio-economic trends, to predict the social consequences of decisions on the implementation of state policy in the development of single-industry territories, public authorities monitor the socio-economic situation in single-industry towns based on an assessment of a number of statistical indicators. Such a differentiated assessment of statistical parameters does not allow a comprehensive assessment of the level of development and competitiveness of a single-industry town by territory, which is of particular relevance in modern conditions of glocalization. Of particular scientific and practical interest is a comparative analysis of the level of development of single-industry towns on the basis of an integral indicator that takes into account aspects of various spheres of life of the population and allows an objective assessment of the competitive positions of single-industry territories, which is currently not used by state authorities for monitoring. The purpose of the work is to assess and justify the conditions and development trends of single-industry towns of the Samara region on the basis of calculating the integral indicator of competitiveness, taking into account the level of development of the economy, finance, employment, social security and demography, as well as the mono-profile level of territories. In this study, we used the methods of system analysis, the method of comparisons and analogies, the method of generalization, the methods of dialectic and statistical analysis, the method of expert estimates, the method of retrospective estimates and structural-dynamic analysis. The paper provides an overview of the single-industry towns of the regions of the Volga Federal District; the results of testing the methodology for assessing the competitiveness of single-industry towns of the Samara region on the basis of an integral indicator are presented and trends in its change in the period 2013–2017 are identified. The study involved four single-industry towns of the Samara region: Oktyabrsk, Pohvistnevo, Tolyatti, Chapaevsk. The calculations showed that For five years Oktyabrsk was an outsider in four of the six areas under study (economics, labor, social services, demography), which led to the lowest competitiveness index and allowed us to identify the competitiveness of a single-industry town as “below average”. In relatively equal socio-economic conditions, there were Pohvistnevo, Togliatti and Chapaevsk, the level of competitiveness of which is “above average”.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>монопрофильные территории</kwd><kwd>моногород</kwd><kwd>регион</kwd><kwd>Самарская область</kwd><kwd>Октябрьск</kwd><kwd>Похвистнево</kwd><kwd>Чапаевск</kwd><kwd>Тольятти</kwd><kwd>интегральный показатель</kwd><kwd>конкурентоспособность</kwd></kwd-group><kwd-group xml:lang="en"><kwd>single-industry towns</kwd><kwd>Oktyabrsk</kwd><kwd>Pokhvistnevo</kwd><kwd>Chapaevsk</kwd><kwd>Tolyatti</kwd><kwd>Samara region</kwd><kwd>integral indicator</kwd><kwd>competitiveness</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">Анимица Е. Г. Конкуренция в территориальном измерении // Интеграция: власть, наука, производство. 2003. № 1. С. 38–42. [Animitsa E. G. (2003). 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