Avoiding the middle‐income trap: The spatial–temporal effects of human capital on regional economic growth in Northeast China

2021 ◽  
Author(s):  
Tingting Yu ◽  
Ah Rong ◽  
Feilong Hao
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Northeast China ◽  
Regional Economic Growth ◽  
Regional Economic ◽  
Middle Income ◽  
Temporal Effects ◽  
Middle Income Trap

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.

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

scholarly journals Transport Infrastructure Development and Economic Growth in China: Recent Evidence from Dynamic Panel System-GMM Analysis

2020 ◽  
Vol 12 (14) ◽  
pp. 5618
Author(s):  
Xiao Ke ◽  
Justin Yifu Lin ◽  
Caihui Fu ◽  
Yong Wang
Keyword(s):  
Economic Growth ◽  
Development Strategies ◽  
Transport Infrastructure ◽  
Western China ◽  
Regional Economic Growth ◽  
Dynamic Panel ◽  
Regional Economic ◽  
Middle Income ◽  
System Gmm ◽  
Income Status

China’s growth miracle has been accompanied by a great leap forward in the development of transport infrastructure. This study examines and compares impacts from the quantity, quality, and structural aspects of transport infrastructure on regional economic growth in China as the country approaches an upper-middle income status. We also incorporate government’s development strategies into the framework for evaluating the growth effect of China’s transport infrastructure. Using a consistent and robust dynamic panel data system generalized method of moments (system-GMM) estimation for identification, we find strong evidence confirming that transport infrastructure contributes to regional economic growth in China during the period 2007–2015, as the country approaches its upper-middle income status. In particular, quality improvements in roads and railways and the structural upgrading of transport infrastructure significantly contribute to growth. However, we do not find that quantity expansion of the overall land transport network has a significant impact. Moreover, government development strategies that defy local comparative advantages not only detract from the growth rate but also potentially restrict the contribution of transport infrastructure. Lastly, the regional heterogeneity for Western China may differ across transport modes, particularly with respect to goods versus passenger transport and roadways versus railways.

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