scholarly journals Research on the relationship between the imbalance of regional economic growth and the allocation of financial resources

2021 ◽  
Vol 275 ◽  
pp. 01056
Author(s):  
Rong Sun
Keyword(s):  
Economic Growth ◽  
Industrial Structure ◽  
Insurance Premium ◽  
Regional Economic Growth ◽  
Financial Resources ◽  
Regional Economic ◽  
Financial Expenditure ◽  
Per Capita ◽  
Reform And Opening Up ◽  
The Relationship

Since the reform and opening up, China’s economic growth has attracted worldwide attention, and people’s living standards have been significantly improved. However, China’s economic growth shows an unbalanced trend, that is, the level of economic growth in the central and western regions is far lower than that in the eastern regions, and the gap between regional economic growth is still widening, which seriously hinders the construction of a harmonious society in China. The allocation of financial resources will play a mainstay role in economic development. Therefore, it is important to pay attention to the relationship between the imbalance of regional economic growth and the allocation of financial resources. This paper chooses GDP per capita to represent regional economy, and chooses deposit loan ratio, industrial structure, financial expenditure per capita, foreign capital per capita and insurance premium per capita to represent financial resource allocation. Using the above variables to build a panel regression model, according to the coefficient of the regression analysis results, this paper puts forward relevant suggestions to balance regional economic growth.

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.

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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