Relationship between economic development and population age structure in the Russian regions

Artamonov, N. V.; Kurbatskii, A. N.; Khalimov, Timur M.

doi:10.18522/2073-6606-2021-19-2-77-90

Terra Econ.

2021

DOI: 10.18522/2073-6606-2021-19-2-77-90

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Relationship between economic development and population age structure in the Russian regions

N. V. Artamonov

A. N. Kurbatskii

Timur M. Khalimov

Abstract: This article was supported by the Russian Science Foundation, project № 20 68 47030 "Econometric and probabilistic methods for the analysis of financial markets with complex structure".

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2024

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Cited by 2 publications

References 17 publications

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Spatial Estimation of Regional Economic Growth Heterogeneity During 2014‒2021

Doroshenko,

Vasilyeva

2024

Russian journal of regional studies

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Introduction. The aggravation of socio-economic heterogeneity among Russian regions is one of the main challenges for sustainable development of the country. The main task of spatial policy is to ensure advanced rates of development of geostrategic and lagging behind territories as well as increasing competitiveness of regional economies. However, the events of the past decade substantially adjusted plans on regional economic growth enhancement. The aim of the study is to estimate spatial economic growth heterogeneity and interdependence of bordering entities of Russia over 2013‒2021. Materials and Methods. The main research method is Moran’s methodology for assessing local and global indices characterizing the inter-regional relation and A. Anselin’s approach for local indices of spatial autocorrelation and spatial clusters identification. The research uses regional data on real GRP per capita growth rates for 85 Russian regions for five annual intervals. Results. The results confirmed that geopolitical tensions significantly enhance the regional economic growth heterogeneity. The most developed regions, including main hydrocarbon producers, are found being most exposed to external economic shocks, which reduced their spatial interrelation. Southern and eastern regions demonstrated an upward growth trend. The COVID-19 pandemic shaped the appearance of western and eastern clusters. Regional economies demonstrated the decreasing heterogeneity through enhancing the economic growth rates in the post-crises period. Coincidently, we document that economic development of the regions influences the growth in bordering entities. Discussion and Conclusion. The research allows defining three stages of regional economic growth rates heterogeneity during 2013‒2021. The derived conclusions are recommended for actualizing state policy in reducing regional heterogeneity and strengthening the national economic space.

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Spatial Estimation of Regional Economic Growth Heterogeneity During 2014‒2021

Doroshenko,

Vasilyeva

2024

Russian journal of regional studies

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Methodological Approaches to Constructing Human Capital Index: Regional Dimension

Medyanik,

Kurbatskii,

Nagorny

et al. 2024

Vopr. stat.

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The paper analyses available foreign and domestic expertise in the treatment and methods for measuring human capital. The authors identify weaknesses of a common approach to measuring human capital based on international statistical standards not adapted to national features of information and statistical support for regional analysis in the face of prominent interregional differences in socio-economic development.A methodological approach to assessing human capital is substantiated using an integral indicator that combines subindices that reflect the accumulation and reproduction of human capital. Guided by this approach and statistics on the demographic situation, upgrading knowledge, skills and strengthening the public health, including that of the working population, and based on actual data for the regions of Russia (for the year 2020), a unified summary indicator of human capital for the constituent entities of the Russian Federation was calculated and the regions were ranked by a level of human capital development.According to the authors, the developed methodological approaches to measuring the human capital index shall make it possible to take more specific action on implementing the Programme for Socio-economic Development as applied to individual Russian regions

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Relationship between economic development and population age structure in the Russian regions

Abstract: This article was supported by the Russian Science Foundation, project № 20 68 47030 "Econometric and probabilistic methods for the analysis of financial markets with complex structure".

Cited by 2 publications

References 17 publications

Spatial Estimation of Regional Economic Growth Heterogeneity During 2014‒2021

Spatial Estimation of Regional Economic Growth Heterogeneity During 2014‒2021

Methodological Approaches to Constructing Human Capital Index: Regional Dimension

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