Research on potential human capital and the regional economic growth: Based on the perspective of higher education

Author(s):  
Yue Wang ◽  
Weiliang Han
2021 ◽  
pp. 0308518X2110000
Author(s):  
Jonathan Muringani ◽  
Rune D Fitjar ◽  
Andrés Rodríguez-Pose

Social capital is an important factor explaining differences in economic growth among regions. However, the key distinction between bonding social capital, which can lead to lock-in and myopia, and bridging social capital, which promotes knowledge flows across diverse groups, has been overlooked in growth research. In this paper, we address this shortcoming by examining how bonding and bridging social capital affect regional economic growth, using data for 190 regions in 21 EU countries, covering eight waves of the European Social Survey between 2002 and 2016. The findings confirm that bridging social capital is linked to higher levels of regional economic growth. Bonding social capital is highly correlated with bridging social capital and associated with lower growth when this is controlled for. We do not find significantly different effects of bonding social capital in regions with more or less bridging social capital, or vice versa. We examine the interaction between social and human capital, finding that bridging social capital is fundamental for stimulating economic growth, especially in low-skilled regions. Human capital also moderates the relationship between bonding social capital and growth, reducing the negative externalities imposed by excessive bonding.


2021 ◽  
Vol 17 (2) ◽  
pp. 57-80
Author(s):  
Boris Alekhin

This study examines the contribution of human capital accumulation to regional economic growth using panel data for 82 subjects of the Russian Federation over 2002–2019. This paper aims to test the hypothesis that in the long-run equilibrium there exists a connection between economic growth and human capital accumulation in the regions of Russia. From the point of view of econometrics, it would mean that we should refute the hypothesis that there is no cointegration of time series describing the aforementioned variables. General theoretical framework was drawn from the neoclassical growth theory, and panel data econometrics suggested the appropriate empirical methodology. Pooled mean group and fully modified least squares estimators were applied to an autoregressive distributed lags model based on the Solow model. The results indicate that accumulation of human capital has a positive and statistically significant long-term impact on the rate of growth of per capita income and that these variables are cointegrated. Such calculations allow us to make the following conclusions: per capita GRP is cointegrated with physical and human capital on the regional level. The cointegrating equation ‘explained’ more than 90% of per capita GRP variance. Human capital accumulation had a significant positive impact on per capita GRP growth in the long run; such impact exceeded the impact of physical capital accumulation. The positive impact of human capital accumulation on per capita GRP growth surpassed the negative elasticity of growth GRP by the amount of resource excluded from the real sector to provide support to students and maintain the regional education system. The paces at which regional economies were heading towards the steady state differed which is an evidence that there exist an incredible manifold of ways and means for regions to adjust to disbalancies


2020 ◽  
pp. 146-156
Author(s):  
E. O. Butova

Innovation-driven development of the Russian economy requires a consistent national policy aimed at boosting scientific and innovative activity in the regions, which would facilitate the development of entrepreneurship and technology. It also plays an important role in ensuring the socio-economic progress of the regions and efficiency of income distribution.Aim. The presented study aims to examine the potential directions for optimizing scientific and innovative activity in regional socio-economic development and to identify factors that facilitate the intensification of innovative activity in the regions.Tasks. The authors conduct a correlation analysis between scientific and economic development of the regions with allowance for such factors as the level of education of the population and the number of researchers engaged in research and development (R&D). They also assess the current state of scientific and innovative activity and the national policy on the formation of the scientific and innovative potential of the regions.Methods. The methodological basis of the study of the scientific and innovative aspects of regional economic development includes correlation-regression analysis and abstract logical methods.Results. This study substantiates the role of scientific and innovative activity in regional economic development; determines a positive correlation between regional economic growth and the number of researchers; establishes an inverse correlation between scientific and economic development based on the dependence of innovative activity in the regions on the accumulated scientific potential; empirically assesses the impact of innovative factors on regional economic growth and proposes directions for improving the efficiency of the regional system of science and innovation.Conclusions. Concentrations of knowledge are analyzed as agglomerations of expenses on research and development, science and technology. This leads to an increase in the number of scientists, engineers, scientific and technological personnel of innovative enterprises in various Russian regions. A correlation analysis between scientific and economic regional development shows that per-capita GRP growth rate by the number of researchers is statistically significant, which means there are several factors affecting this dependence: geographical accessibility of higher education, university expenses on infrastructure and services, job creation, additional revenue from students from other countries and regions. It is established that efficient regional higher education systems and innovative development have a positive effect on regional economic development. The conducted analysis shows that a policy on the innovative development of resource regions should be based on government support that would facilitate the creation of innovations and strengthening of scientific potential.


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