financeФинансы: теория и практика/Finance: Theory and PracticeFinance: Theory and Practice2587-56712587-7089Financial University under The Government of Russian Federation10.26794/2587-5671-2024-28-3-52-60finance-2954Research ArticleДРАЙВЕРЫ ЭКОНОМИЧЕСКОГО РОСТАDRIVERS OF ECONOMIC GROWTHМодель роста экономики региона на основе индекса экономической сложностиModel of Growth of the Region’s Economy Based on the Index of Economic Complexityhttps://orcid.org/0000-0002-0804-8039ЧупинА. Л.ChupinA. L.

Александр Леонидович Чупин — кандидат экономических наук, заместитель декана по научной работе экономического факультета

Москва

Alexander L. Chupin — Cand. Sci. (Econ.), Deputy Dean for Research, Faculty of Economics

Moscow

chupin-al@rudn.ruhttps://orcid.org/0000-0003-0901-9720ЗаськоВ. Н.ZaskoV. N.

Вадим Николаевич Засько — доктор экономических наук, профессор, декан факультета налогов, аудита и бизнес-анализа

Москва

Vadim N. Zasko — Dr. Sci. (Econ.), Prof., Dean, Faculty of Taxes, Audit and Business Analysis

Moscow

vnzasko@fa.ruhttps://orcid.org/0000-0002-5372-8519МорковкинД. Е.MorkovkinD. E.

Дмитрий Евгеньевич Морковкин — кандидат экономических наук, доцент кафедры экономической теории, ведущий научный сотрудник Института исследований международных экономических отношений

Москва

Dmitry E. Morkovkin — Cand. Sci. (Econ.), Assoc. Prof., Department of Economic Theory, Leading Researcher, Institute for the Study of International Economic Relations

Moscow

demorkovkin@fa.ruhttps://orcid.org/0000-0002-7924-2111ДонцоваО. И.DontsovaO. I.

Олеся Игоревна Донцова — кандидат экономических наук, доцент кафедры экономической теории, ведущий научный сотрудник Института финансово-промышленной политики

Москва

Olesya I. Dontsova — Cand. Sci. (Econ.), Assoc. Prof., Department of Economic Theory, Leading Researcher, Institute of Financial and Industrial Policy

Moscow

oidontsova@fa.ruРоссийский университет дружбы народов (РУДН)РоссияRUDN UniversityRussian FederationФинансовый университетРоссияFinancial UniversityRussian Federation2024110720242835260Copyright © Чупин А.Л., Засько В.Н., Морковкин Д.Е., Донцова О.И., 20242024Чупин А.Л., Засько В.Н., Морковкин Д.Е., Донцова О.И.Chupin A.L., Zasko V.N., Morkovkin D.E., Dontsova O.I.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://financetp.fa.ru/jour/article/view/2954

Важной задачей Целей устойчивого развития ООН (ЦУР) является эффективное использование ресурсов планеты. В данном исследовании авторы показывают сильную экспоненциальную зависимость между индексом экономической сложности и эффективностью использования ресурсов в стране. Индекс экономической сложности — это характеристика производственных возможностей крупных экономических систем. Данный индекс измеряет уровень накопленных обществом знаний, которые позволяют производить продукцию. Оценка уровня индекса страны также позволяет прогнозировать будущие тенденции в области экономики региона. Предложенная авторами модель индекса экономической сложности включает в себя экономику услуг, розничную торговлю и обрабатывающую промышленность. Авторы изучают, как индекс экономической сложности влияет на уровень продукта, определяя продуктовое пространство для каждой страны и основные продукты, которые способствуют высокому индексу их сложности и перспективной расширяемости, что указывает на потенциал производства более совершенных продуктов в  будущем. Политика, направленная на повышение сложности экономики и  инвестирование в  основные продукты, представляется приоритетной для достижения устойчивого развития.

An important target of the UN Sustainable Development Goals (SDGs) is the efficient use of the planet’s resources. In this study, the authors show a strong exponential relationship between the economic complexity index and the efficiency of resource use in a country. The economic complexity index is a characterization of the productive capacity of large economies. This index measures the level of knowledge accumulated by a society that enables production. Assessing the level of a country’s index also makes it possible to predict future trends in the region’s economy. The model of economic sophistication index proposed by the authors includes the service economy, retail trade and manufacturing. Thus, in the paper, the authors identify how the economic complexity index affects the product level by defining the product space for each country and identifying the main products that contribute to a high product complexity index and prospective scalability, indicating the potential to produce better products in the future. Policies focused on increasing economic complexity and investing in staple products appear to be a priority for achieving sustainable development.

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The authors declare that there are no conflicts of interest present.