ecnaЭкономика наукиEconomics of Science2410-132X2949-4680Delo Publishing house10.22394/2410-132X-2023-9-4-18-31ecna-429Research ArticleНАУЧНО-ТЕХНИЧЕСКИЙ ПРОГРЕСС И ЕГО ВЛИЯНИЕ НА ОТРАСЛИ ЭКОНОМИКИ, ЭКОНОМИЧЕСКИЙ РОСТ И ИННОВАЦИОННОЕ РАЗВИТИЕSCIENTIFIC AND TECHNICAL PROGRESS AND ITS IMPACT ON INDUSTRIES, ECONOMIC GROWTH, AND INNOVATIVE DEVELOPMENTИзменение рынка труда при внедрении научно-технологических инноваций в экономику (зарубежный и отечественный опыт)Changes in the labor market with the introduction of scientific and technological innovations into the economy (foreign and domestic experience)https://orcid.org/0000-0002-8754-0012ЕрохинВ. В.ErokhinV. V.

Ерохин Виктор Викторович – доктор технических наук, доцент, профессор кафедры “Математические методы и бизнес-информатика”, профессор кафедры “Инновационное предпринимательство”

Scopus Author ID: 57195330507

143007, Московская обл., г. Одинцово, Можайское шоссе, д. 30, кв. 52

Viktor V. Erokhin – Doctor of Technical Sciences, Associate Professor, Professor of the Department of Mathematical Methods and Business Informatics, Professor of the Department of Innovative Entrepreneurship

Scopus Author ID: 57195330507

143007, Moscow region, Odintsovo, Mozhaiskoe highway, 30, apt. 52

erohinvv@mail.ruМосковский государственный институт (университет) международных отношений Министерства иностранных дел Российской Федерации; Московский государственный технический университет имени Н. Э. БауманаРоссияMoscow State Institute of International Relations (University) of the Ministry of Foreign Affairs; Bauman Moscow State Technical UniversityRussian Federation202321122023941831Copyright © Ерохин В.В., 20232023Ерохин В.В.Erokhin V.V.This work is licensed under a Creative Commons Attribution 4.0 License.https://ecna.elpub.ru/jour/article/view/429

В статье представлено влияние научно-технологических инноваций на отраслевую структуру торгуемого сектора экономики. Анализ экономических данных проводился на основе модели VAR Кристофера Симсона по данным 15 развитых государств с открытой экономикой и без санкционного режима, включая Российскую Федерацию, за период с 1995 по 2013 гг. Исследования показали, чем больше постоянный рост общей факторной производительности в торгуемом секторе экономики по сравнению с ростом в неторгуемом секторе, тем больше перемещается трудовых ресурсов из торгуемого сектора в неторгуемый сектор экономики, что оказывает стимулирующее влияние на долю трудовых доходов в обоих секторах экономики. Разработана модель влияния научно-технологических инноваций на рынок труда в торгуемом секторе экономики. Модель позволяет просчитать факторные технологические изменения для государств с открытой экономикой и с учетом межстрановых дисперсий перераспределительных эффектов. Наиболее точные результаты модель предсказывает для государств, капиталоемкие отрасли которых вносят больший вклад в увеличение общей факторной производительности торгового сектора экономики, т. е. для государств, в которых капитал увеличивается по отношению к эффективности труда

The article presents the impact of scientific and technological innovations on the industrial structure of the tradable sector of the economy. The analysis of economic data was carried out on the basis of the VAR model by Christopher Albert Sims for 15 developed countries with open economies and without a sanction’s regime, including the Russian Federation, for the period 1995…2013. Research has shown that the greater the continuous growth of total factor productivity (TFP) in the tradable sector of the economy compared to growth in the non-tradable sector, the more labor resources move from the tradable sector to the non-tradable sector of the economy, which has a stimulating effect on the share of labor income in both sectors of the economy. A model of the influence of scientific and technological innovations on the labor market in the tradable sector of the economy has been developed. The model allows for a state with an open economy and taking into account cross-country dispersion of redistribution effects to calculate factor technological changes. The model predicts the most accurate results for states where capital-intensive industries make a greater contribution to the increase in total factor productivity of the trade sector of the economy, i. e. for states in which capital increases in relation to labor efficiency.

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