Human Capital and Regional Economic Growth: An Empirical Research Based on Panel Data of Eastern, Central and Western China

2010 ◽  
Author(s):  
Hai-bin Han
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Empirical Research ◽  
Western China ◽  
Regional Economic Growth ◽  
Regional Economic

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 PERAN MODAL MANUSIA TERHADAP PERTUMBUHAN EKONOMI REGIONAL DI JAWA

2017 ◽  
Vol 13 (1) ◽  
pp. 79 ◽  
Author(s):  
Aminuddin Anwar
Keyword(s):  
Economic Growth ◽  
Human Capital ◽  
Panel Data ◽  
Fiscal Decentralization ◽  
Average Length ◽  
Critical Role ◽  
Regional Economic Growth ◽  
Positive Contribution ◽  
Regional Economic

Abstrak: Peran Modal Manusia Terhadap Pertumbuhan Ekonomi Regional di Jawa. Penelitian ini bertujuan untuk memberikan bukti empiris peran sentral modal manusia terhadap pertumbuhan ekonomi. Kontribusi tersebut difokuskan di Pulau Jawa karena menjadi pusat aktivitas perekonomian di Indonesia sehingga perlu dianalisis kontribusi pengembangan modal manusia terhadap pertumbuhan ekonomi regional. Penelitian ini menggunakan metode panel data pada 114 kabupaten dan kota di Pulau Jawa selama periode 2004-2013. Indikator modal manusia yang digunakan dalam penelitian ini adalah rata-rata lama sekolah untuk pendidikan dan angka harapan hidup untuk kesehatan. Hasil estimasi menunjukkan bahwa pendidikan dan kesehatan memiliki kontribusi positif terhadap pertumbuhan ekonomi regional. Hal ini mengindikasikan peran penting pendidikan sebagai salah satu sumber utama untuk mencapai pembangunan ekonomi yang lebih baik. Temuan lain dari penelitian ini adalah adanya peran positif dari investasi dan kontribusi yang cenderung negatif dari adanya desentralisasi fiskal. Kata kunci: Pertumbuhan Ekonomi Regional, Modal Manusia, Panel Data, Jawa Abstract: The Role of Human Capital Toward Regional Economic Growth in Java. The aim of this study is to provide empirical evidence of the central role of human capital in economic growth. The contribution of this study is focused on Java island as a center of economic activities in Indonesia that needs to be analyzed the contribution of human capital development to the growth of regional economies. This study uses panel data on 114 counties and cities in Java during the period 2004-2013. Human capital indicators employed in this study is the average length of school for education and life expectancy for health. The estimation results indicate that education and health have a positive contribution to regional economic growth. Its shows the critical role of education as one of the primary sources to achieve better economic development. Another finding of this study is the positive role of investment and tends to be a negative contribution of the fiscal decentralization. Keywords: Regional Economic Growth, Human Capital, Panel Data, Java

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 Model Pertumbuhan Ekonomi Indonesia: Peranan Ketergantungan Spasial

2019 ◽  
Vol 19 (1) ◽  
pp. 62-83
Author(s):  
Aspiansyah Aspiansyah ◽  
Arie Damayanti
Keyword(s):  
Economic Growth ◽  
Panel Data ◽  
Growth Model ◽  
Spatial Dependence ◽  
Regional Economic Growth ◽  
Regional Economic ◽  
Spatial Spillover ◽  
Economic Growth Model ◽  
Per Capita

This study aims to examine the role of spatial dependence on Indonesia’s regional economic growth based on panel data of all provinces in Indonesia during 1990–2015. By using spatial durbin model, the authors found that spatial dependence plays an important role in achieving regional economic growth in Indonesia. Indonesia’s regional economic growth model that controls spatial dependence, yields better estimates than growth model that does not control spatial dependence. The researchers also found positive spatial spillover to Indonesia’s regional economic growth sourced from other region’s economic growth and initial per capita incomes, as well as population growth in other regions. ============================ Penelitian ini bertujuan untuk mengkaji peranan ketergantungan spasial terhadap pertumbuhan ekonomi regional Indonesia berdasarkan data panel seluruh provinsi di Indonesia selama tahun 1990–2015. Dengan menggunakan model durbin spasial, penulis menemukan bahwa ketergantungan spasial berperan penting dalam pencapaian pertumbuhan ekonomi regional di Indonesia. Model pertumbuhan ekonomi regional Indonesia yang mengontrol ketergantungan spasial menghasilkan estimasi yang lebih baik daripada model pertumbuhan ekonomi regional Indonesia yang tidak mengontrol ketergantungan spasial. Peneliti jugamenemukan terjadinya spatial spillover yang positif terhadap pertumbuhan ekonomi regional Indonesia yang bersumber dari pertumbuhan ekonomi wilayah lain, pendapatan per kapita awal dari wilayah lain dan pertumbuhan penduduk wilayah lain.

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