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Daria S. Benz, Chelyabinsk State University, Chelyabinsk, Russia


Current pandemic-induced downturn has made the problem of economic growth even more acute for the Ural regions of Russia. The national economy is stagnating and transmits the same processes to the regional economies. The paper aims to identify the economic growth factors for eight Ural regions and for the national economy as a whole. The author models the functions of economic growth for regions that are part of both the Ural Federal District and the Ural macroregion, thereby consciously expanding the study for comparative analysis. Methodologically, the paper relies on the theory of economic growth and theory of production (works of C. W. Cobb, P. H. Douglas, R. M. Solow). The author uses econometric tools and builds regressions for eight regions and the national economy, where the outcome variable is the growth rate of gross regional product. The independent variables include the growth rates of the following indicators: industrial production, employment, investments in fixed assets, cost of fixed assets, average per capita incomes, costs of technological innovations. The source of statistical information is Rosstat data covering the period 1995–2018. Based on the constructed functions, the researcher draws a number of conclusions. For the majority of the Ural regions, as well as for the Russian economy, the deciding and the most elastic factor is the growth rate of industrial production. Results among regions vary, but in total, the growth rate of average per capita incomes is the second most important factor. The increase in employment affects greatly the economic growth, especially in those regions that have seen a drastic decline in the labour force over the past decades. The costs of technological innovation do not demonstrate high elasticity. The author suggests that the reason is that their amount is extremely small. Even high growth rates of costs of technological innovation do not produce a visible result, since their level remains catastrophically low. The results of the study can be used in the regional and national socioeconomic development strategies, as well as serve a basis for further economic studies.

Keywords: economic growth; factors of economic growth; Russian economy; regional economy; Ural Federal District; Ural macroregion; regression analysis.

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For citation: Benz D. S. (2020). Modelirovanie faktorov ekonomicheskogo rosta regionov Urala i RF [Modelling of the еconomic growth factors: The case of the Ural regions and the Russian Federation]. Journal of New Economy, vol. 21, no. 3, pp. 112–131. DOI: 10.29141/2658-5081- 2020-21-3-6