Abstract

Introduction. The scientific problem under consideration is of particular relevance due to the need to assess the impact of the factors in the digital transformation of the regional economy and in the economic growth on the economic development of the regions of the Russian Federation. Based on the research conducted, the article presents an econometric assessment of the dependence of the level of the gross regional product per capita in the regions of Russia on such factors as digital labor and digital capital. Materials and Methods. The authors analyzed panel data from the Federal State Statistics Service covering 87 regions of Russia for the period from 2010 to 2018. The research methodology is based on the use of the Cobb–Douglas production function, statistical and correlation data analysis, as well as on econometric methods for studying panel data. Results. To analyze the impact of the digital transformation of the economy on the regional economic growth of the regions of Russia, various models based on panel data have been considered, such as the pooled model, fixed effects models, random effects models, as well as time-varying effects models using dummy variables. Based on statistical criteria, the best model has been chosen and conclusions have been drawn about the nature of the impact of the digital transformation indicators on the gross regional product per capita in the regions of Russia. Discussion and Conclusion. The results of econometric modeling have demonstrated that digital factors in economic growth (digital labor, digital capital), along with common factors in economic growth (labor and capital), affect the regional economic growth. According to the regional data for the period from 2010 to 2018, the time fixed effects model has proved to be the best model of the impact of the factors in economic growth and digital transformation on the economic development of the regions of the Russian Federation. The research results can be used when developing a public policy aimed at stimulating the digital transformation of the regional economy.

Highlights

  • Tourism activities are important development drivers of regional economies

  • Regional tourism has gained special significance in the last year, when restrictions on international travel caused by the COVID-19 pandemic diverted tourist flows to domestic travel

  • The study was based on the analysis of official statistical data from Russian Federal State Statistics Service and the Federal Agency for Tourism regarding the development of tourism and tourism infrastructure in the federal districts of the Russian Federation

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Summary

20. Measuring GDP in the Digital Economy

G. Information Communications Technology and Economic Growth in Sub-Saharan Africa: A Panel Data Approach / G. Digitalization and Economic Growth: A Comparative Analysis of Sub-Saharan Africa and OECD Economies / G. The Impact of Information and Communication Technology on Economic Growth: Evidence from Developed and Developing Countries / A. The Role of Information Communication Technology and Economic Growth in Recent Electricity Demand: Fresh Evidence from Combine Cointegration Approach in UAE / M. А. Влияние цифровизации экономики на благосостояние в развитых и развивающихся странах / А. Л. Симонова // Экономический анализ: теория и практика. Радионова – сбор, обработка и анализ информации; проведение эконометрического исследования и анализа моделей; подготовка текста статьи; формулирование выводов.

The main components of the company’s competitive advantages
17 Развитие птицеводства в Российской Федерации на 2010–2012 годы
Polygon of competitiveness of regional producers
23 Составлено с использованием
Factors in and the state of the environment in the poultry market
Dynamics of the worlds GDP and world motor vehicle production
Dynamics of the GDP and motor vehicle production in Russia
10 Составлено по данным OICA
11 Составлено по данным Росстата
The share of domestic models in the motor vehicle production volume in Russia
25. Geosites and Georesources to Foster Geotourism in Communities
Introduction
Дмитрий Чернышенко
Number of travel companies by federal districts in 2018
Number of places of accommodation in 2018 by federal districts
10. Tourism Development of Russian Territories
18 Рассчитано по: Мордовия
19 Рассчитано по: Мордовия
Unravelling the Extent of Inequalities in Health Across Urban and Rural Areas
О стратегическом планировании в Российской Федерации
Применяется обозначение федеральных округов России
Findings
Demographic transition in the Republic of Tatarstan

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