Industrial growth and specialisation: The impact of the government support tools

In the past decade, the concept of smart specialisation has become the basis for incorporating the principle of selectivity while using the tools of industrial policy. The paper studies the impact of the selective government support on industrial growth and assesses its qualitative correspondence wi...

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Main Authors: Evgeny N. Starikov, Marina V. Evseeva, Ilya V. Naumov
Format: Article
Language:Russian
Published: Ural State University of Economics 2022-10-01
Series:Journal of New Economy
Subjects:
Online Access:https://jne.usue.ru/en/issues-2022/1194
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author Evgeny N. Starikov
Marina V. Evseeva
Ilya V. Naumov
author_facet Evgeny N. Starikov
Marina V. Evseeva
Ilya V. Naumov
author_sort Evgeny N. Starikov
collection DOAJ
description In the past decade, the concept of smart specialisation has become the basis for incorporating the principle of selectivity while using the tools of industrial policy. The paper studies the impact of the selective government support on industrial growth and assesses its qualitative correspondence with the industrial specialisation of Russian regions. Against this backdrop, considering the activity of the Industrial Development Fund (IDF) is at the center of the study. Modern concepts of industrial growth and the policy of new priorities constitute the methodological basis of the research. The methods include correlation analysis and ARIMA modelling. The research uses the information about 924 projects implemented with the funding from the IDF, panel data on the industrial production index (IPI) for 2015–2021, expert opinions on industrial specialisation of the Russian regions to identify three groups of Russian regions depending on the support provided by the IDF. The first group is characterised by the highest amount of support and displays an inverse relationship between IPI and the share of allocated funding, whereas other groups demonstrate a direct relationship. Presumably, high degree of interconnectedness of industries in the regions belonging to the first group leads to the network effects: these territories are self-developing and therefore, the government support does not much influence their industrial growth. On the contrary, other regions feature narrow specialisation and a small degree of interconnectedness of industries. The paper concludes that the IDF should prioritise loans for projects aimed at developing new production in the regions of the second and third groups based on the model of smart specialisation.
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spelling doaj.art-da0e3a84a8ae4e6ab6c5f194cd4ced342023-01-23T07:07:42ZrusUral State University of EconomicsJournal of New Economy2658-50812687-00022022-10-012338610810.29141/2658-5081-2022-23-3-5Industrial growth and specialisation: The impact of the government support toolsEvgeny N. Starikov0Marina V. Evseeva1Ilya V. Naumov2Ural State University of Economics, Institute of Economics (Ural branch of RAS), Ekaterinburg, RussiaUral State University of Economics, Ekaterinburg, RussiaInstitute of Economics (Ural branch of RAS), Ekaterinburg, RussiaIn the past decade, the concept of smart specialisation has become the basis for incorporating the principle of selectivity while using the tools of industrial policy. The paper studies the impact of the selective government support on industrial growth and assesses its qualitative correspondence with the industrial specialisation of Russian regions. Against this backdrop, considering the activity of the Industrial Development Fund (IDF) is at the center of the study. Modern concepts of industrial growth and the policy of new priorities constitute the methodological basis of the research. The methods include correlation analysis and ARIMA modelling. The research uses the information about 924 projects implemented with the funding from the IDF, panel data on the industrial production index (IPI) for 2015–2021, expert opinions on industrial specialisation of the Russian regions to identify three groups of Russian regions depending on the support provided by the IDF. The first group is characterised by the highest amount of support and displays an inverse relationship between IPI and the share of allocated funding, whereas other groups demonstrate a direct relationship. Presumably, high degree of interconnectedness of industries in the regions belonging to the first group leads to the network effects: these territories are self-developing and therefore, the government support does not much influence their industrial growth. On the contrary, other regions feature narrow specialisation and a small degree of interconnectedness of industries. The paper concludes that the IDF should prioritise loans for projects aimed at developing new production in the regions of the second and third groups based on the model of smart specialisation.https://jne.usue.ru/en/issues-2022/1194industrial growthindustrial production indexindustrial development fundindustrial specialisationpolicy toolsregionsindustrial development projects
spellingShingle Evgeny N. Starikov
Marina V. Evseeva
Ilya V. Naumov
Industrial growth and specialisation: The impact of the government support tools
Journal of New Economy
industrial growth
industrial production index
industrial development fund
industrial specialisation
policy tools
regions
industrial development projects
title Industrial growth and specialisation: The impact of the government support tools
title_full Industrial growth and specialisation: The impact of the government support tools
title_fullStr Industrial growth and specialisation: The impact of the government support tools
title_full_unstemmed Industrial growth and specialisation: The impact of the government support tools
title_short Industrial growth and specialisation: The impact of the government support tools
title_sort industrial growth and specialisation the impact of the government support tools
topic industrial growth
industrial production index
industrial development fund
industrial specialisation
policy tools
regions
industrial development projects
url https://jne.usue.ru/en/issues-2022/1194
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