The human capital of migrants and the convergence of wages in the regions of Russia

2018 ◽  
pp. 121-138 ◽  
Author(s):  
N. A. Buranshina ◽  
L. I. Smirnykh
Keyword(s):  
Human Capital ◽  
Internal Migration ◽  
Spatial Effects ◽  
Russian Regions ◽  
Speed Of Convergence ◽  
Level Of Education ◽  
Wage Convergence ◽  
The Impact ◽  
Regions Of Russia

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.

Impact of regulatory framework rigidity on poverty in the regions of Russia

2020 ◽  
pp. 62-79
Author(s):  
P. N. Pavlov
Keyword(s):  
Economic Activity ◽  
Regional Level ◽  
Institutional Factors ◽  
Federal Regulations ◽  
Russian Regions ◽  
Poverty Dynamics ◽  
Regulatory Burden ◽  
Sectoral Structure ◽  
The Impact ◽  
Regions Of Russia

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.

scholarly journals Evaluation of the impact of human capital on innovation activity in Russian regions

2021 ◽  
Vol 8 (1) ◽  
pp. 109-126
Author(s):  
Valentina Teslenko ◽  
Roman Melnikov ◽  
Damien Bazin
Keyword(s):  
Human Capital ◽  
Innovation Activity ◽  
Russian Regions ◽  
The Impact

Revealing of the specificity of mortgage housing lending based on the results of clustering of regions

2021 ◽  
Vol 27 (12) ◽  
pp. 2679-2697
Author(s):  
Lyudmila E. ROMANOVA ◽  
Anna L. SABININA ◽  
Andrei I. CHUKANOV ◽  
Dar’ya M. KORSHUNOVA
Keyword(s):  
Systems Approach ◽  
Mortgage Lending ◽  
Effective Algorithm ◽  
Russian Regions ◽  
Local Conditions ◽  
Partitioning Around Medoids ◽  
Analysis And Synthesis ◽  
The Russian Federation ◽  
The Impact ◽  
Regions Of Russia

Subject. This article deals with the particularities of the development of housing mortgage lending in the regions of Russia. Objectives. The article aims to substantiate the need for clustering of territorial entities by level of development of mortgage housing lending in Russia and test the most effective algorithm for mortgage clustering of regions. Methods. For the study, we used a systems approach, including scientific abstraction, analysis and synthesis, and statistical methods of data analysis. The algorithm k-medoids – Partitioning Around Medoids (PAM) was also used. Results. Based on the results of the study of regional statistics of the Russian Federation, the article reveals a significant asymmetry in the values of key socioeconomic indices that determine the level and dynamics of housing mortgages in the regions. This necessitates the clustering of territorial entities according to the level of development of mortgage housing lending in the country. To take into account the impact of various local conditions in assessing the prospects for the development of regional housing mortgages, the article proposes an indicator, namely, the integral regional mortgage affordability index. On its basis, in accordance with the selected clustering procedure, the article identifies five mortgage clusters in Russia and identifies their representative regions. Conclusions. Based on the analysis of the specificity of the development of regional mortgages in the Tula Oblast, taking into account the implementation of the target State programme, the article concludes that it is necessary to improve the mechanisms for financing regional mortgage programmes and justifies the need to develop differentiated programmes for the development of housing mortgages in groups of Russian regions.

The impact of FDI on human capital development in SACU countries

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Winfried Henok ◽  
Teresia Kaulihowa
Keyword(s):  
Human Capital ◽  
Secondary Level ◽  
Policy Implications ◽  
Supporting Evidence ◽  
Human Capital Development ◽  
Member States ◽  
Content Type ◽  
Level Of Education ◽  
Capital Development ◽  
The Impact

PurposeThis paper aims to examine how FDI trickle down to human capital development in SACU member states.Design/methodology/approachA longitudinal research design and feasible general least squares was used over the periods 1990 and 2018.FindingsThere is supporting evidence that FDI enhances human capital when primary school enrolment rate is used. However, the reverse holds for the secondary level of education. It can be argued that although FDI exhibits a positive effect on primary education, optimal spillovers to human capital development has not been realized. An indication that certain level of human capital may be required to ensure the optimal benefit of FDI or the types of current FDI does not enhance FDI-led-human capital hypothesis.Practical implicationsThe negative effect of FDI toward secondary level of education could be an indication of a weak absorptive capacity. SACU's current dominance of FDI activities toward extractive industries could limit potential benefit of FDI due to capacity constraints. Practical policy implications indicate that SACU member states need to ensure that it attracts FDI toward smart investment that enhances human capital development.Social implicationsThere is need to a gear FDI firms toward corporate social responsibilities that will stimulate secondary education.Originality/valueThe novelty of this paper is twofold. First, it focuses on SACU countries where majority of the people are trapped with poverty and inequality issues. Second, SACU member states have used greenfield FDI as a policy instrument to enhance human capital. However, human capital link remains weak. This creates a need to search for smart FDIs that are committed toward community transformation through human capital development.

Assessing the Impact of Remittances on Schooling: the Mexican Experience

2005 ◽  
Vol 5 (1) ◽  
pp. 1850033 ◽  
Author(s):  
Fernando Borraz
Keyword(s):  
United States ◽  
Human Capital ◽  
Census Data ◽  
The United States ◽  
Level Of Education ◽  
Low Level ◽  
Child Human Capital ◽  
The Impact

This paper analyzes the impact of remittances on child human capital in Mexico. During the 90’s and in particular after the “tequila crisis” Mexican workers increased the remittances that were sent to their homes from the United States. I will analyze the effect of such increasing source of income on child human capital decisions. Contrary to Hanson and Woodruff (2003) the results obtained from Census data indicate a positive and small effect of remittances on schooling only for children living in cities with fewer than 2,500 inhabitants and with mothers with a very low level of education. However its magnitude is not substantial.

Spatial Distribution of Human Development Index in the Regions of Russia

2018 ◽  
Vol 8 (8) ◽  
pp. 2594 ◽  
Author(s):  
Nailya K. SHAMSUTDINOVA ◽  
Elmira I. ISIANGULOVA ◽  
Irina A. LAKMAN ◽  
Vadim B. PRUDNIKOV ◽  
Liana F. SADIKOVA
Keyword(s):  
Human Capital ◽  
Human Development ◽  
Human Development Index ◽  
Russian Far East ◽  
Spatial Gradient ◽  
Russian Regions ◽  
Development Index ◽  
Spatial Autoregressive ◽  
Geary’S C ◽  
Regions Of Russia

Spatial effects in human development levels among different regions of a territory are important to study in the context of the core-periphery model. We use different methods to study human development index (HDI) for 85 Russian regions. The authors studied the human development index (HDI) for 85 Russian regions. Methods of spatial statistics (econometrics) are used to estimate the ‘spatial gradient’ in economic geography (Moran’s global and local I, Geary’s C, Getis-Ord global G indices). As a weighting matrix we used a contiguity matrix, taking into account the HDI levels only in neighboring regions. Analysis of the global indices of Moran’s I, Geary’s C and Getis-Ord G and Morans scatter plots showed the presence of time-inconsistent spatial autoregressive dependence of the level of HDI in regions of Russia. The ‘spatial gradient’ of the level of human development in Russia is influenced by historically existing imbalances (due to strong oil and gas export-oriented nature of the economy) and insufficient use of human capital. To our view the regional differentiation in human development among the regions is caused primarily by the ‘catching up’ style of Russian economy: human capital is concentrated in regions with already high level of development, although in terms of growth rates Moscow and St. Petersburg are not the leaders. The territorial and geopolitical policies of Russian Federation also influence HDI distribution. For example, huge public investments in the regions of Russian Far East are often ineffective.

The Problem of the Impact of Human Capital Formed in the Education System on the Socio-Economic Development of Russian Regions

2021 ◽  
Vol 9 (2) ◽  
pp. 34-37
Author(s):  
Leonid Basovskiy ◽  
Elena Basovskaya
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Economic Development ◽  
Education System ◽  
Russian Regions ◽  
Industrial Economy ◽  
Socio Economic Development ◽  
Post Industrial ◽  
The Impact ◽  
Positive Effect

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.

scholarly journals Spatial Analysis Of Human Capital Structures

2014 ◽  
Vol 17 (4) ◽  
pp. 43-54 ◽  
Author(s):  
Artur Gajdos
Keyword(s):  
Human Capital ◽  
Labour Market ◽  
Cross Section ◽  
Labour Force ◽  
Labour Productivity ◽  
Occupational Structure ◽  
Level Of Education ◽  
Depth Analysis ◽  
Data Source ◽  
The Impact

The main purpose of this paper is to analyse the interdependence between labour productivity and the occupational structure of human capital in a spatial cross-section. Research indicates (see Fischer 2009) the possibility to assess the impact of the quality of human capital (measured by means of the level of education) on labour productivity in a spatial cross-section. This study attempts to thoroughly analyse the issue, assuming that apart from the level of education, the course of education (occupation) can also be a significant factor determining labour productivity in a spatial cross-section. The data used in this paper concerning labour force structure in major occupational groups in a regional cross-section comes from a Labour Force Survey. The data source specificity enables the assessment of labour force occupational specialisation at the regional level and the estimation of this specialisation at the subregional or county level. An in-depth analysis of the occupational structure of the labour market in a spatial cross-section is an important theoretical and practical area of study necessary for the development of effective labour market policies and the education system.

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