Evaluating the Impact of Human Capital on Economic Dynamics in Russian Regions

2021 ◽  
Vol 8 (1) ◽  
pp. 109-126
Author(s):  
Valentina Teslenko ◽  
Roman Melnikov ◽  
Damien Bazin

2021 ◽  
Vol 9 (2) ◽  
pp. 34-37
Author(s):  
Leonid Basovskiy ◽  
Elena Basovskaya

The paper put forward hypotheses that the possibility of economic growth during the transition to a post-industrial economy is determined by human capital formed in the higher education system, the possibility of economic well-being in the transition to a post-industrial economy is determined by human capital formed in the tertiary system. Education, institutional transformations in the education system due to their incon-sistency and approaches based on the administrative and control style of management inherited from the industrial economic system, worsen the conditions for the formation of human capital in the education system of modern Russia. To assess the impact of the socio-economic development of human capital formed in the education system, it is proposed to perform by means of a correlation analysis of links between indicators characterizing the composition of the employed population by education level and indi-cators characterizing the socio-economic development of Russian regions by years of a twenty-year period starting from 2000 to 2019. Preliminary research has made it possible to establish that the employed population of the regions with higher education has a positive effect on economic growth in the regions, but this influence is decreasing; the employed population of the regions with lower levels of education negatively affect the economic growth in the regions. The employed population of regions with higher and professional education has a positive effect on the welfare of the regions.


2018 ◽  
pp. 121-138 ◽  
Author(s):  
N. A. Buranshina ◽  
L. I. Smirnykh

In this paper we present the results of the assessment of the impact of internal migration and human capital of migrants on the convergence of regions on wages. Using Rosstat data for 2002—2016 for 77 Russian Regions we have estimated dynamic GMM model with spatial effects. The results have showed that internal migration increases the speed of convergence regions on wages. The impact of migration on the wage convergence of regions depends on the level of education of migrants.


Author(s):  
N. B. Davidson ◽  
◽  
O. S. Mariev ◽  
I. M. Yunusova ◽  
◽  
...  

Author(s):  
Наталия Левкина ◽  
Nataliya Levkina ◽  
Леонид Басовский ◽  
Leonid Basovskiy ◽  
Елена Басовская ◽  
...  

Estimates of coefficients of elasticity of the contribution of new ways to GDP per capita on the use of the new technologies estimated by capital-labor ratioof work by new fixed assets and on the use of the human capital estimated by a share of busy workers with the higher education during an economic crisis are received. The received results allow estimating the change of efficiency of use of new technologies and the human capital in the country and in regions of Central Federal District during the crisis. In the majority of regions, it corresponds with all-Russian tendencies. However, in several regions elasticity of the contribution of the human capital has not decreased. These are Kaluga, Kostroma, Yaroslavl regions. Elasticity of the contribution of the human capital to GRP provided with new technological ways the Voronezh, Ryazan, Tula regions has significantly increased. In the same regions elasticity of the contribution of new business assets has decreased less considerably, than on average on the Russian regions. Identification of the reasons of this phenomenon demands an additional research.


R-Economy ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 50-60
Author(s):  
Roman Yu. Skokov ◽  
◽  
Olga V. Brizhak ◽  
◽  

Research relevance. Consumption of addictive goods and its impact on the human capital is widely discussed in contemporary research literature, not only on the micro- and macro- but also on the meso-level. At the present stage of the ongoing transformations we are prompted to reassess current approaches to this problem and to re-evaluate its public significance; moreover, practical application of available research outcomes should also be reconsidered. In Russia, consumption of addictive goods is subject to significant regional variations determined by socio-economic and other factors. Research aim. The study is aimed at investigating the impact of consumption of addictive goods (alcohol) on the quality of Russian consumers' human capital and at building a system of indicators to estimate this impact. Data and methods. The study uses the methods of comparative analysis, expert estimation, ranking, and economic-statistical analysis, it also proposes a spatial approach to problems associated with regional variations in human capital of consumers of addictive goods. The study relies on the Russian and international research evidence; the data of the Federal State Statistics Service and its regional offices; expert estimates and the authors' own calculations. Results. The study demonstrates the connection between consumption of addictive goods and consumers' human capital. It also describes a system of statistical indicators that can be used for estimating the impact of alcohol consumption on human capital and the criteria such indicators should meet. Based on the proposed indicator set, the study analyzes and compares the trends in human capital deterioration on the regional and national levels. As a result of cross-regional analysis, regions with the highest and lowest figures of human capital deterioration are identified. Conclusions. As their addiction progresses, alcohol consumers face an increasing devaluation of their human capital. This parameter varies significantly across Russian regions due to a range of climatic, regional, and socio-economic factors, which should be taken into account when devising and implementing regional alcohol policies. The existing system of statistical observations uses a limited set of indicators that needs to be expanded to allow for a more comprehensive cross-regional analysis.


2014 ◽  
pp. 88-117 ◽  
Author(s):  
G. Syunyaev ◽  
L. Polishchuk

We study the impact of Russian regional governors’ rotation and their affiliation with private sector firms for the quality of investment climate in Russian regions. A theoretical model presented in the paper predicts that these factors taken together improve “endogenous” property rights under authoritarian regimes. This conclusion is confirmed empirically by using Russian regional data for 2002—2010; early in that period gubernatorial elections had been canceled and replaced by federal government’s appointments. This is an indication that under certain conditions government rotation is beneficial for economic development even when democracy is suppressed.


2020 ◽  
pp. 62-79
Author(s):  
P. N. Pavlov

The paper analyzes the impact of the federal regulatory burden on poverty dynamics in Russia. The paper provides regional level indices of the federal regulatory burden on the economy in 2008—2018 which take into account sectoral structure of regions’ output and the level of regulatory rigidity of federal regulations governing certain types of economic activity. Estimates of empirical specifications of poverty theoretical model with the inclusion of macroeconomic and institutional factors shows that limiting the scope of the rulemaking activity of government bodies and weakening of new regulations rigidity contributes to a statistically significant reduction in the level of poverty in Russian regions. Cancellation of 10% of accumulated federal level requirements through the “regulatory guillotine” administrative reform may take out of poverty about 1.1—1.4 million people.


2019 ◽  
pp. 46-64 ◽  
Author(s):  
Vladimir V. Klimanov ◽  
Sofiya М. Kazakova ◽  
Anna A. Mikhaylova

The article examines the impact of various socio-economic and financial indicators on the resilience of Russian regions. For each region, the integral index of resilience is calculated, and its correlation dependence with the selected indicators is revealed. The study confirms the relationship between fiscal resilience and socio-economic resilience of the regions. The analysis of panel data for 75 regions from 2007 to 2016 shows that there are significant differences in the dynamics of indicators in different periods. In particular, the degree of exposure to the negative effects of the crises of 2008—2009 and 2014—2015 in non-resilient regions is higher than in resilient ones.


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