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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">finance</journal-id><journal-title-group><journal-title xml:lang="ru">Финансы: теория и практика/Finance: Theory and Practice</journal-title><trans-title-group xml:lang="en"><trans-title>Finance: Theory and Practice</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2587-5671</issn><issn pub-type="epub">2587-7089</issn><publisher><publisher-name>Financial University under The Government of Russian Federation</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26794/2587-5671-2021-25-6-54-67</article-id><article-id custom-type="elpub" pub-id-type="custom">finance-1381</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>БЮДЖЕТНАЯ СТРАТЕГИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>BUDGET STRATEGY</subject></subj-group></article-categories><title-group><article-title>Территории опережающего развития как инструмент поддержки предприятий в российских моногородах</article-title><trans-title-group xml:lang="en"><trans-title>Priority development areas as a tool for enterprises support in Russian monotowns</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3962-7428</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Белёв</surname><given-names>С. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Beleva</surname><given-names>S. G.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Сергей Геннадьевич Белёв — кандидат экономических наук, старший научный сотрудник Лаборатории исследований бюджетной политики, Институт прикладных экономических исследований; заведующий Лабораторией бюджетной политики, научное направление «Макроэкономика и финансы»</p><p>Москва</p></bio><bio xml:lang="en"><p>Sergei G. Belev — Cand. Sci. (Econ.), Senior Researcher, Budget Policy Research Lab, Institute of Applied Economic Research; Head of Budget Policy Department, Macroeconomics and Finance research area</p><p>Moscow</p></bio><email xlink:type="simple">belev@ranepa.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/0000-0002-0169-1451</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Ветеринаров</surname><given-names>В. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Veterinarov</surname><given-names>V. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Виктор Викторович Ветеринаров — аспирант</p><p>Мадрид</p></bio><bio xml:lang="en"><p>Viktor V. Veterinarov — PhD student</p><p>Madrid</p></bio><email xlink:type="simple">viktor.veterinarov@cemfi.edu.es</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-7072-0260</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Козляков</surname><given-names>Г. С.</given-names></name><name name-style="western" xml:lang="en"><surname>Kozlyakov</surname><given-names>G. S.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Глеб Сергеевич Козляков — младший научный сотрудник, Лаборатория исследований бюджетной политики, Институт прикладных экономических исследований</p><p>Москва</p></bio><bio xml:lang="en"><p>Gleb S. Kozlyakov — Junior Researcher, Budget Policy Research Lab, Institute of Applied Economic Research</p><p>Moscow</p></bio><email xlink:type="simple">kozlyakov-gs@ranepa.ru</email><xref ref-type="aff" rid="aff-3"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3378-9426</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Сучкова</surname><given-names>О. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Suchkova</surname><given-names>O. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Ольга Владимировна Сучкова — младший научный сотрудник, Лаборатория исследований бюджетной политики, Институт прикладных экономических исследований; старший преподаватель, кафедра математических методов анализа экономики экономического факультета</p><p>Москва</p></bio><bio xml:lang="en"><p>Olga V. Suchkova — Junior Researcher, Budget Policy Research Lab, Institute of Applied Economic Research; Senior lecturer, Department of Mathematical Methods in Economics, Faculty of Economics</p><p>Moscow</p></bio><email xlink:type="simple">suchkova-ov@ranepa.ru</email><xref ref-type="aff" rid="aff-4"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Российская академия народного хозяйства и государственной службы при Президенте Российской Федерации (РАНХиГС); Институт экономической политики имени Е. Т. Гайдара</institution><country>Россия</country></aff><aff xml:lang="en"><institution>The Russian Presidential Academy of National Economy and Public Administration (RANEPA); Gaidar Institute for Economic Policy</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Центр монетарных и финансовых исследований</institution><country>Испания</country></aff><aff xml:lang="en"><institution>Center for Monetary and Financial Studies (CEMFI)</institution><country>Spain</country></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>Российская академия народного хозяйства и государственной службы при Президенте Российской Федерации (РАНХиГС)</institution><country>Россия</country></aff><aff xml:lang="en"><institution>The Russian Presidential Academy of National Economy and Public Administration (RANEPA)</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-4"><aff xml:lang="ru"><institution>Российская академия народного хозяйства и государственной службы при Президенте Российской Федерации (РАНХиГС); МГУ имени М. В. Ломоносова</institution><country>Россия</country></aff><aff xml:lang="en"><institution>The Russian Presidential Academy of National Economy and Public Administration (RANEPA); Lomonosov Moscow State University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>22</day><month>12</month><year>2021</year></pub-date><volume>25</volume><issue>6</issue><fpage>54</fpage><lpage>67</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Белёв С.Г., Ветеринаров В.В., Козляков Г.С., Сучкова О.В., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Белёв С.Г., Ветеринаров В.В., Козляков Г.С., Сучкова О.В.</copyright-holder><copyright-holder xml:lang="en">Beleva S.G., Veterinarov V.V., Kozlyakov G.S., Suchkova O.V.</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://financetp.fa.ru/jour/article/view/1381">https://financetp.fa.ru/jour/article/view/1381</self-uri><abstract><p>Целью исследования является оценка эффективности программы создания Территорий опережающего социальноэкономического развития (ТОР) в моногородах Российской Федерации на уровне предприятий. Используя данные из базы СПАРК-Интерфакс для российских предприятий за 2014–2018 гг., авторы дают оценку эффекта резидентства в ТОР на рост выручки фирм в моногородах России. На уровне предприятий проверяются две гипотезы. Вопервых, что статус резидента ТОР получают более эффективные в предыдущих периодах фирмы. Во-вторых, что статус резидента ТОР не оказывает положительного эффекта на рост фирмы. Авторы используют эконометрические методы оценки эффекта воздействия — сопоставление по мере склонности по методу ближайшего соседа, что позволяет делать выводы о причинно-следственных связях в отличие от обычного метода наименьших квадратов (МНК). В регрессиях учитывается размер и отраслевая принадлежность предприятия, а также географическое положение города. По результатам исследования обе гипотезы подтверждены. Статус резидента определен приростами выручки фирмы двух предыдущих периодов (коэффициенты значимы во всех спецификациях на 5%-ном уровне). Влияние резидентства на прирост выручки фирмы исчезает (становится незначимым) при сравнении предприятий с одинаковыми изначальными трендами (pre-trends) до 2015 г. Таким образом, авторы делают вывод, что успешность программы создания ТОР в моногородах с точки зрения поддержки бизнеса вызывает сомнения. Выводы исследования справедливы для предприятий, созданных до 2015 г</p></abstract><trans-abstract xml:lang="en"><p>This paper aims to estimate the effectiveness of the Priority Development Areas (PDA) program in Russian monotowns at the firm level. Using data from the SPARK-Interfax database on Russian companies in 2014–2018, the authors estimate the effect of the PDA residency on the firms’ revenue growth in monotowns in Russia. The authors test two hypotheses. First, the status of the PDA resident is obtained by firms that have been successful in previous periods. Second, the PDA resident status does not have a positive effect on firm growth. To measure the treatment effect, the authors use the nearest neighbor propensity score matching method, which allows drawing conclusions about causality, as opposed to the ordinary least squares (OLS) method. The regressions consider the firm size, industry, and geographic location of the city. According to the results of the study, both hypotheses are confirmed. Resident status is determined by the gains in the company’s revenue for the two previous periods (the coefficients are significant in all specifications at the 5% level). The influence of residency on the firm’s revenue growth is neglected (becomes insignificant) when comparing enterprises with the same pre-2015 trends. Thus, the authors conclude that the success of the PDA program in Russian monotowns in terms of business support is questionable. The findings of the study are valid for enterprises established before 2015.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>моногород</kwd><kwd>развитие городов</kwd><kwd>территории опережающего развития</kwd><kwd>пространственное развитие</kwd><kwd>отраслевая структура</kwd><kwd>метод сопоставления по мере склонности</kwd><kwd>СПАРК</kwd><kwd>размер предприятия</kwd></kwd-group><kwd-group xml:lang="en"><kwd>monotown</kwd><kwd>city development</kwd><kwd>priority development area</kwd><kwd>spatial development</kwd><kwd>industry structure</kwd><kwd>nearest neighbor propensity score matching</kwd><kwd>SPARK</kwd><kwd>firm size</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Статья подготовлена по результатам научно-исследовательской работы, выполненной за счет бюджетных средств по государственному заданию. 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