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

Innovation and Foreign Technology

2013 ◽  
Author(s):  
Federico Barbiellini Amidei ◽  
John Cantwell ◽  
Anna Spadavecchia
Keyword(s):  
Human Capital ◽  
Technology Transfer ◽  
Innovation Activity ◽  
Foreign Technology ◽  
International Technology Transfer ◽  
Long Run ◽  
Innovative Capability ◽  
Indigenous Innovation ◽  
Activity Performance ◽  
The Impact

The chapter explores the long-run evolution of Italy's performance in technological innovation as a function of international technology transfer, reconstructing the different phases and dimensions of Italian innovative activity, tracking the transfer of foreign technological knowledge through a number of channels, analyzing the impact of imported technology. The study is based on a newly constructed dataset, over the 1861-2009 period, composed of variables related to innovation activity performance, foreign technology transfer, and domestic absorptive and innovative capability. The analysis highlights, also by econometric assessment, the significant contribution of foreign technology to innovation activity results. Machinery imports and the accumulation of technical human capital contributed positively to innovation activity; inward FDI contributed positively to productivity growth, but not to indigenous innovation activity results. Differences across channels of technology transfer and historical phases emerge, also in connection with the evolution of human capital endowment and domestic innovative capacity.

The role of labour migration inflows on R&D and innovation activity: evidence from Russian regions

foresight ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. 437-468 ◽  
Author(s):  
Luigi Aldieri ◽  
Maxim Kotsemir ◽  
Concetto Paolo Vinci
Keyword(s):  
Technological Innovation ◽  
Design Methodology ◽  
Transition Period ◽  
Causal Link ◽  
Innovation Activity ◽  
Russian Regions ◽  
Content Type ◽  
And Migration ◽  
The Impact

Purpose What is the effect of an increase of migration inflows on the R&D and innovative performance of developing countries? The purpose of this paper is to investigate the impact of migration inflows on the R&D and innovation activity (measured as expenditures on R&D and technological innovations) in Russian regions. Design/methodology/approach To this end, the authors use data on 85 Russian regions for the period 2010-2016 through a multi-region economic geography model. In particular, the authors test the hypothesis about the importance of migration inflows on R&D and technological innovation activity (H1) and the hypothesis about the importance of immigrants’ (incoming migrants) human capital (measured by the education level of incoming migrants) on R&D and innovation activity (H2). Findings Empirical findings support the evidence in favour of a positive causal link between innovation and migration inflows. Results of our investigation are important because they suggest useful insights for formulating science and innovation policies in Russia, which is a developing country where the recent policies favouring the technological innovation as the transition period have not yet achieved a satisfying outcome. Originality/value This paper increases the knowledge in the field with respect to the existing literature, shedding further light on the migration inflows effects, which is a political topic to manage very relevant in all countries.

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.

The impact of adaptation and mobility of the human capital on development of innovative processes in the oil and gas companies

2021 ◽  
pp. 16-21
Author(s):  
I.Yu. Eremina ◽  
A.V. Chuprova ◽  
A.A. Sheshina
Keyword(s):  
Human Capital ◽  
Research And Development ◽  
Oil And Gas ◽  
Main Idea ◽  
Innovation Activity ◽  
Technological Breakthrough ◽  
Capital Development ◽  
Oil And Gas Companies ◽  
The Impact ◽  
Innovation Processes

The article discusses the problem of the development of the intensity of innovation processes, namely the development of innovations and their implementation in all sectors of the economy in the context of increasing competition in the world arena. One of the key tools for ensuring economic growth and development of innovations is human capital, its intellectual capabilities based on knowledge and ideas. The main idea of the implementation of a technological breakthrough is revealed — the implementation of an effective state policy: financing and stimulating human capital; development of innovation, etc. Accordingly, the higher the volume of government spending in research and development, the higher the indicators of innovation activity and achievements in research and development

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.

scholarly journals The Impact of Human Capital on Enterprise Productivity in the Russian Regions

2019 ◽  
Vol 18 (3) ◽  
pp. 412-430
Author(s):  
N. B. Davidson ◽  
◽  
O. S. Mariev ◽  
I. M. Yunusova ◽  
◽  
...  
Keyword(s):  
Human Capital ◽  
Russian Regions ◽  
The Impact

Changes in the Impact of New Technologies and Human Capital on the Contribution of New Ways to the Russian Economy During the Crisis Period

2017 ◽  
Vol 5 (4) ◽  
pp. 27-30 ◽  
Author(s):  
Наталия Левкина ◽  
Nataliya Levkina ◽  
Леонид Басовский ◽  
Leonid Basovskiy ◽  
Елена Басовская ◽  
...  
Keyword(s):  
Human Capital ◽  
New Technologies ◽  
Federal District ◽  
Gdp Per Capita ◽  
Russian Regions ◽  
Russian Economy ◽  
Fixed Assets ◽  
New Business ◽  
Per Capita ◽  
The Impact

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.

scholarly journals Consumption of addictive goods in Russian regions and its impact on the quality of human capital

R-Economy ◽  
2020 ◽  
Vol 6 (1) ◽  
pp. 50-60
Author(s):  
Roman Yu. Skokov ◽  
◽  
Olga V. Brizhak ◽  
◽  
Keyword(s):  
Human Capital ◽  
Regional Analysis ◽  
Research Literature ◽  
Federal State ◽  
Russian Regions ◽  
Regional Variations ◽  
Alcohol Policies ◽  
Expert Estimation ◽  
The Impact

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.

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