vguitВестник Воронежского государственного университета инженерных технологийProceedings of the Voronezh State University of Engineering Technologies2226-910X2310-1202VSUET10.20914/2310-1202-2022-3-412-426vguit-3067Research ArticleЭкономика и управлениеEconomics and ManagementАнализ Глобального инновационного индекса в России с использованием модели структурного уравненияThe Global Innovation Index analysis in Russia using the Structural equation modelhttps://orcid.org/0000-0002-2230-9637ДжиббуриХ. Б.DjebbouriK. B.

аспирант, кафедра экономической безопасности и финансового мониторинга, пр-т Революции, 19, г. Воронеж, 394036, Россия

graduate student, economic security and financial monitoring department, Revolution Av., 19 Voronezh, 394036, Russia

khaled.djebb@gmail.comhttps://orcid.org/0000-0002-4579-5201БутуатуА. И.BoutouatouA. N.

аспирант, кафедра экономической безопасности и финансового мониторинга, пр-т Революции, 19, г. Воронеж, 394036, Россия

graduate student, economic security and financial monitoring department, Revolution Av., 19 Voronezh, 394036, Russia

boutouatouamine66@gmail.comhttps://orcid.org/0000-0002-8438-0607ХоревА. И.KhorevA. I.

д.э.н., профессор, кафедра экономической безопасности и финансового мониторинга, пр-т Революции, 19, г. Воронеж, 394036, Россия

Dr. Sci. (Econ.), professor, economic security and financial monitoring department, Revolution Av., 19 Voronezh, 394036, Russia

al.khorev@gmail.comhttps://orcid.org/0000-0002-8754-2608ИвлиевМ. Н.IvliyevM. N.

к.т.н., доцент, кафедра высшей математики и информационных технологий, пр-т Революции, 19, г. Воронеж, 394036, Россия

Cand. Sci. (Engin.), associate professor, economic security and financial monitoring department, Revolution Av., 19 Voronezh, 394036, Russia

max1m@mail.ruВоронежский государственный университет инженерных технологийРоссияVoronezh State University of Engineering TechnologiesRussian Federation202216032023843412426Copyright © Джиббури Х.Б., Бутуату А.И., Хорев А.И., Ивлиев М.Н., 20232023Джиббури Х.Б., Бутуату А.И., Хорев А.И., Ивлиев М.Н.Djebbouri K.B., Boutouatou A.N., Khorev A.I., Ivliyev M.N.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://www.vestnik-vsuet.ru/vguit/article/view/3067

Глобальный инновационный индекс (ГИИ) был разработан для отслеживания инновационного потенциала и эффективности в стране, используя определенные параметры входов и выходов. Однако при этом не учитываются любые структурные связи между элементами, влияющими на достижения страны. В данном исследовании мы предложили модель структурного уравнения (МСУ), основанную на гипотетической структуре инноваций между семью показателями, представляющими входы, которые содержат учреждения, человеческий капитал и исследования, инфраструктуру, искушенность рынка и искушенность бизнеса. И выходами, которые представлены выходами знаний и технологий, а также творческими выходами. Используя данные ГИИ с 2012 по 2021 год в России, мы обнаружили, что выход знаний и технологий, а также инфраструктура, основанная на информационно-коммуникационных технологиях, оказывают наибольшее прямое и косвенное влияние на творческий выход и искушенность рынка, соответственно. Кроме того, мы обнаружили значительное влияние учреждений на искушенность рынка, а также большое влияние инфраструктуры на учреждения, и человеческий капитал, и развитие. И хотя инновации так важны для экономического роста, для повышения эффективности инноваций необходимо увеличить усвоение знаний. Кроме того, с учетом экологических соображений, таких как экологическая устойчивость, а также косвенного влияния на развитость рынка

The Global Innovation Index (GII) was developed to track innovation potential and efficiency in the country, by utilizing specified inputs and outputs parameters. However, take into account any structural links among elements affecting a country's achievement. We proposed in this study a structural equation model (SEM) based on the hypothesized innovation structure between seven indicators, representing inputs that contain institutions, human capital and research, infrastructure, market sophistication, and business sophistication. And outputs which are represented by knowledge and technology outputs, and creative outputs. By using the GII data from 2012 to 2021 in Russia, we discovered that knowledge and technology outputs, as well as infrastructure, have the largest direct and indirect influence on creative outputs and market sophistication, respectively. Also, we found a significant effect of institutions on market sophistication, and a great effect from infrastructure on institutions, and human capital and development. And while innovation is so important for economic growth, it is necessary to increase knowledge absorption to improve innovation performance. Also, for environmental considerations, such as ecological sustainability, as well as the indirect effect on Market sophistication)

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