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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">rusjel</journal-id><journal-title-group><journal-title xml:lang="ru">Russian Journal of Economics and Law</journal-title><trans-title-group xml:lang="en"><trans-title>Russian Journal of Economics and Law</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2782-2923</issn><publisher><publisher-name>"TCE "Taglimat"" Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">rusjel-1478</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>ЭКОНОМИКА И УПРАВЛЕНИЕ НАРОДНЫМ ХОЗЯЙСТВОМ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ECONOMICS AND NATIONAL ECONOMY MANAGEMENT</subject></subj-group></article-categories><title-group><article-title>ИССЛЕДОВАНИЕ ФАКТОРОВ РОСТА ПРОМЫШЛЕННОСТИ РОССИИ С ИСПОЛЬЗОВАНИЕМ ПРОИЗВОДСТВЕННОЙ ФУНКЦИИ</article-title><trans-title-group xml:lang="en"><trans-title>RESEARCH OF THE FACTORS OF INDUSTRIAL GROWTH IN RUSSIA USING THE PRODUCTION FUNCTION</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>Колчинская</surname><given-names>Е. Э.</given-names></name><name name-style="western" xml:lang="en"><surname>Kolchinskaya</surname><given-names>E. E.</given-names></name></name-alternatives><email xlink:type="simple">kolch@leontief.ru</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>Растворцева</surname><given-names>С. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Rastvortseva</surname><given-names>S. N.</given-names></name></name-alternatives><email xlink:type="simple">Rastvortseva@bsu.edu.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Санкт-Петербургский государственный экономический университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Saint Petersburg State Economics University</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Белгородский государственный национальный исследовательский университет</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Belgorod State National Scientific-Research University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2013</year></pub-date><pub-date pub-type="epub"><day>30</day><month>12</month><year>2013</year></pub-date><volume>0</volume><issue>4</issue><fpage>152</fpage><lpage>158</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Колчинская Е.Э., Растворцева С.Н., 2013</copyright-statement><copyright-year>2013</copyright-year><copyright-holder xml:lang="ru">Колчинская Е.Э., Растворцева С.Н.</copyright-holder><copyright-holder xml:lang="en">Kolchinskaya E.E., Rastvortseva S.N.</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.rusjel.ru/jour/article/view/1478">https://www.rusjel.ru/jour/article/view/1478</self-uri><abstract><p>Цель: построение и анализ производственных функций для отраслей промышленности России. Метод: корреляционно-регрессионный анализ. Результаты: в результате проведенного анализа были построены три производственные функции: для обрабатывающих производств, предприятий по добыче полезных ископаемых и предприятий по производству и распределению электроэнергии, газа и воды. Анализ полученных коэффициентов показал, что в обрабатывающих производствах главным фактором увеличения объема выпуска предприятий является увеличение объемов труда. Для добывающих предприятий значение капитала существенно выше. По третьей отрасли не удалось получить модели с высоким коэффициентом детерминации. Научная новизна: построены производственные функции для трех отраслей промышленности России; предложен подход к построению производственных функций по российским отраслям, учитывающий ограничения по статистическим данным; сделаны выводы о факторах роста обрабатывающих и добывающих предприятий России. Практическая значимость: предложенная модель позволяет прогнозировать развитие промышленности России в зависимости от изменения объемов ресурсов, вкладывающихся в производство.</p></abstract><trans-abstract xml:lang="en"><p>Objective: to construct and analyze production functions for the Russian industrial sectors. Methods: correlation-regression analysis. Results: the carried out analysis resulted in constructing three industrial functions: for processing industries, mining enterprises and electricity, gas and water producing and distributing enterprises. The analysis of the obtained coefficients showed that in processing industries the main factor of production growth is the increase in labor volumes. For the extractive industry the capital is much more important. The third sector did not allow to construct a model with high determination coefficient. Scientific novelty: production functions are constructed for the three industrial sectors in Russia; the approach is proposed for constructing the production functions for the Russian sectors, taking into account the limitations of statistical data; conclusions are made about the growth factors of processing and extractive enterprises in Russia. Practical value: the proposed model allows to predict the industrial development of Russia depending on the changes in resources volume invested into industry.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>производственная функция Кобба-Дугласа</kwd><kwd>панельные данные</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Cobb-Douglas production function</kwd><kwd>panel data</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">Cobb C. W. and P. H. Douglas. 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