scholarly journals ЉУДСКИ КАПИТАЛ И ЕНДОГЕНИ РАЗВОЈ РЕГИОНА

TEME ◽  
2017 ◽  
pp. 073
Author(s):  
Слободан Цветановић ◽  
Војислав Илић ◽  
Данијела Деспотовић
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
National Level ◽  
Regional Economic Growth ◽  
Regional Economic ◽  
Highly Educated ◽  
Different Types ◽  
National Productivity ◽  
The One ◽  
The Impact

The paper explores the nature of the impact of human capital on regional economic growth. The focus is on arriving at a reasonable answer to the question of whether the nature of the impact of human capital on regional economic growth is conceptually identical to the nature of its impact on economic growth at the national level. The conclusion is that the character of relationship between human capital and economic growth of countries, on the one hand, and growth of the region, as part of the national territory, on the other hand, is fundamentally different. Specifically, the existence of two completely different types of impact of human capital, impact on regional economic growth and impact on the economic growth of countries is noted. In particular, human capital affects regional economic growth through the increase of national productivity, mainly through the manifestation of various forms of externalities. Furthermore, the impact of human capital on regional economic growth through migration mechanism is noted, particularly due to the migration of highly educated workers. These two impacts do not always have the same direction, because the externality spillover mechanisms in a specific region and labour mobility are not per se of complementary character. In cases where these two impacts coincide, certain regions grow dynamically, while in the situations where they do not coincide, the regions may economically stagnate.

scholarly journals Regional Economic Growth in Malaysia: Does Aggregate Overqualification Matter?

2019 ◽  
Vol 10 (5) ◽  
pp. 139
Author(s):  
Zainizam Zakariya ◽  
Kristinn Hermanssons ◽  
Kho Yin Yin ◽  
Noor Fazlin Mohamed Noor
Keyword(s):  
Economic Growth ◽  
Negative Impact ◽  
Dynamic Panel Data ◽  
Bachelor's Degree ◽  
Regional Economic Growth ◽  
Kuala Lumpur ◽  
Regional Economic ◽  
Job Level ◽  
Highly Educated ◽  
The Impact

This paper explores the impact of aggregate overqualification on regional economic growth in Malaysia from 2005 to 2017 using Dynamic Panel Data (DPD) approach. The aggregate overqualification was gauged as the percentage of workers with at least a bachelor’s degree qualification who employed in an occupation below than the professional job level. Following the method, while the incidence stood at 1 percent, it was however higher in Kuala Lumpur (4.4 percent) and Selangor (3.9 percent) and was much lower in Perak (-0.26 percent) and Perlis (-0.12 percent). Moreover, the incidence was higher after 2010. Empirical findings revealed strong evidence of negative impact of the aggregate overqualification on regional economic growth. Yet, the magnitudes of the effect were smaller, between 0.02 and 0.03. Further analysis revealed the negative impact was greater in most developed states and for the period after 2010. The findings depict that there is a growth penalty for not being fully utilised the knowledge and skills of highly educated workers at the regional labour market.

scholarly journals Social capital and economic growth in the regions of Europe

2021 ◽  
pp. 0308518X2110000
Author(s):  
Jonathan Muringani ◽  
Rune D Fitjar ◽  
Andrés Rodríguez-Pose
Keyword(s):  
Economic Growth ◽  
Social Capital ◽  
Human Capital ◽  
European Social Survey ◽  
Knowledge Flows ◽  
Regional Economic Growth ◽  
Lower Growth ◽  
Regional Economic ◽  
Bonding Social Capital ◽  
Bridging Social Capital

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.

Assessing the Impact of the Factors in the Digital Transformation on the Regional Economic Growth

REGIONOLOGY ◽  
2021 ◽  
Vol 29 (3) ◽  
pp. 486-510
Author(s):  
Tatyana V. Mirolyubova ◽  
Marina V. Radionova
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Fixed Effects ◽  
Digital Transformation ◽  
Regional Economic Growth ◽  
Regional Economic ◽  
The Russian Federation ◽  
Regional Product ◽  
The Impact ◽  
Regions Of Russia

Introduction. The scientific problem under consideration is of particular relevance due to the need to assess the impact of the factors in the digital transformation of the regional economy and in the economic growth on the economic development of the regions of the Russian Federation. Based on the research conducted, the article presents an econometric assessment of the dependence of the level of the gross regional product per capita in the regions of Russia on such factors as digital labor and digital capital. Materials and Methods. The authors analyzed panel data from the Federal State Statistics Service covering 87 regions of Russia for the period from 2010 to 2018. The research methodology is based on the use of the Cobb–Douglas production function, statistical and correlation data analysis, as well as on econometric methods for studying panel data. Results. To analyze the impact of the digital transformation of the economy on the regional economic growth of the regions of Russia, various models based on panel data have been considered, such as the pooled model, fixed effects models, random effects models, as well as time-varying effects models using dummy variables. Based on statistical criteria, the best model has been chosen and conclusions have been drawn about the nature of the impact of the digital transformation indicators on the gross regional product per capita in the regions of Russia. Discussion and Conclusion. The results of econometric modeling have demonstrated that digital factors in economic growth (digital labor, digital capital), along with common factors in economic growth (labor and capital), affect the regional economic growth. According to the regional data for the period from 2010 to 2018, the time fixed effects model has proved to be the best model of the impact of the factors in economic growth and digital transformation on the economic development of the regions of the Russian Federation. The research results can be used when developing a public policy aimed at stimulating the digital transformation of the regional economy.

scholarly journals Agricultural R&D, spatial spillover and regional economic growth in different R&D sectors of performance: evidence from a spatial panel in regions of the EU-28

2018 ◽  
Vol 64 (No. 4) ◽  
pp. 163-169 ◽  
Author(s):  
Anousheh Shahrzad ◽  
Hojabr-Kiani Kambiz ◽  
Mojtahed Ahmad ◽  
Ranjbar Homayoun
Keyword(s):  
Economic Growth ◽  
Agricultural Sector ◽  
Regional Growth ◽  
Regional Economic Growth ◽  
Business Enterprise ◽  
Regional Economic ◽  
Spatial Spillover ◽  
Spatial Panel ◽  
Economic Output ◽  
The Impact

Agricultural R&D has been identified as an important determinant of economic output in the agricultural sector. Surprisingly, in previous studies, spatial spillover associated with R&D spending in the agricultural sector has not been taken into account. This paper investigates the effects of spatial spillover of agricultural R&D on regional economic growth across EU-28 NUTS-II regions in the period 1995–2014. In particular, we extend previous studies by considering spillover in all sectors of agricultural R&D performance including business enterprise, government and higher education. The spatial Durbin panel data model is employed to estimate brooders effect including direct and indirect effects. Empirical results show a positive effect of agricultural R&D and its spatial spillover on regional growth in all performance sectors. Moreover, the impact of spatial spillover of agricultural R&D on regional growth depends on the performance of the R&D sectors; positive spillovers are stronger in the business enterprise sector. Finally, the interaction effect between the economic output of the agricultural sector of each region with that of its neighbours is significantly positive.  

scholarly journals Human Capital and Regional Economic Growth in Russia

2021 ◽  
Vol 17 (2) ◽  
pp. 57-80
Author(s):  
Boris Alekhin
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Capital Accumulation ◽  
Positive Impact ◽  
Regional Economic Growth ◽  
Human Capital Accumulation ◽  
Regional Economic ◽  
Long Run ◽  
Per Capita

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

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