scholarly journals Analysis of the Spatial Structure of Regional Enterprises and Its Impact on Regional Economic Development Based on the Data Envelopment Analysis Model (DEA)

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Lei Wang ◽  
Yuan He ◽  
Tongwen Wang
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Spatial Structure ◽  
Spatial Association ◽  
Development Stage ◽  
Regional Economic Growth ◽  
Regional Economic ◽  
Economic Growth Rate ◽  
Urban Agglomerations ◽  
Evolution Characteristics

This paper adopts the data envelopment analysis (DEA) model to conduct an in-depth study and analysis of the spatial structure of regional enterprises and their impact on regional economic development and to apply the analysis of the impact between the two. Firstly, the concepts of urban agglomeration, regional spatial pattern evolution, and coordinated regional development and their connotations are explained to define the research topic of this paper. Then, we systematically analyze the theory of regional economic growth, development stage theory, spatial polarization theory, and regional spatial association theory and review the existing studies on regional economic growth, regional development stage, regional spatial association, and pattern evolution, as well as the efficiency and quality of regional economic growth, which further clarify the research focus and research ideas of this paper. The time evolution, spatial divergence, and spatial association characteristics of the economic growth rate of the central urban agglomerations are measured, then the DEA model and entropy value method are used to calculate the economic growth efficiency and economic growth quality of the urban agglomerations, respectively, the time evolution characteristics and spatial pattern evolution characteristics of the economic growth efficiency and economic growth quality are analyzed, and finally, the coupled model of regional economic growth rate, efficiency, and quality is constructed. Finally, a coordination model of the coupling of regional economic growth rate, efficiency, and quality is constructed and the time-series evolution characteristics and spatial-temporal divergence characteristics of the coupling coordination degree of the three are comprehensively analyzed, and the spatial classification of the coupling coordination type of each county unit is made. The direction and path of regulation for the optimization of spatial structure and coordinated spatial development of urban agglomerations are proposed, and finally, the leading factors for the reorganization of the regional economic spatial structure are analyzed, and the regulatory countermeasures for the optimization of the economic spatial structure of urban agglomerations are proposed according to the spatial structure of urban agglomerations and their evolutionary characteristics.

scholarly journals The Effect of Local Government Debt on Regional Economic Growth in China: A Nonlinear Relationship Approach

2019 ◽  
Vol 11 (11) ◽  
pp. 3065 ◽  
Author(s):  
Rubo Zhao ◽  
Yixiang Tian ◽  
Ao Lei ◽  
Francis Boadu ◽  
Ze Ren
Keyword(s):  
Economic Growth ◽  
Local Government ◽  
Spatial Model ◽  
Spatial Association ◽  
Spillover Effect ◽  
Private Investment ◽  
Government Debt ◽  
Regional Economic Growth ◽  
Nonlinear Relationship ◽  
Regional Economic

By drawing on the concept of sustainable economic development, this study advances the research on debt sustainability in the economic literature. We explore the correlation between local government debt and regional economic growth in 30 provinces in China. Previous studies have established that the development of economic growth between regions is not independent and we, therefore, investigate the spatial effect of regional economic growth due to the existence of a spatial spillover effect or spatial expansion among regions. Using Moran’s scatter plot, a Local Indicator of Spatial Association (LISA) map, and a semiparametric spatial model (SE-SDM), our results demonstrate the following: (1) the spatial agglomeration effect has a significant influence on regional economic growth; (2) the relationship between local government debt and regional economic growth presents nonlinear characteristics, rather than having an inverted U-shaped relationship; (3) the semiparametric spatial model more accurately characterizes in the nonlinear relationship between local government debt and regional economic growth compared to a basic regression model and the spatial Durbin model; and (4) when the scale of local government debt exceeds a certain level, economic growth will be suppressed by the crowding-out of private investment and the reduction of public expenditure.

THE EFFECTS OF DEMOGRAPHIC CHANGES ON REGIONAL ECONOMIC GROWTH: EVIDENCE FROM JAPAN

2019 ◽  
pp. 1-27
Author(s):  
DAI ERBIAO ◽  
HATTA TATSUO
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Total Population ◽  
Population Aging ◽  
Regional Economic Growth ◽  
Demographic Changes ◽  
Skilled Workers ◽  
Working Population ◽  
Regional Economic ◽  
Per Capita

Since the 1970s, due to the combination of the declining birthrate and rising longevity, the speed of population aging in Japan has been more dramatic than in any other developed country. Consequently, the growth of the working population, which had been faster than the growth of the total population, has gradually become slower in recent years than the latter in Japan. Moreover, similar rapid demographic changes are taking place at various speeds in all prefectures. By introducing demographic variables into empirical models of regional economic growth, which is based on prefecture-level panel data for the period 1980–2010, this paper shows that the recent demographic changes in Japan have had significant effects on its regional economic growth: the contribution of the growth rate difference between the working population and the total population to per capita Gross Regional Domestic Product (GRDP) growth rate, i.e., the demographic bonus, has disappeared. In addition, the growth rate of the aged population (65 years old and over) has had a very significant negative effect on per capita GRDP growth rate, while the growth rate of the young population aged 0–14 has had a significant positive effect. The findings of this study imply that Japan’s population aging and other ongoing demographic changes will continue to depress economic growth in all prefectures. Given the low probability of a significant rise in the birth rate and the rapid increase in the local labor supply, it is important for all prefectures in Japan to raise the quality of their labor-force and improve productivity. Meanwhile, effectively attracting young skilled workers to migrate from other regions/countries should be a key policy issue for both local and central governments in Japan.

scholarly journals A Study on Investment Structure of Fixed Assets and Regional Economic Growth

2020 ◽  
Vol 3 (3) ◽  
Author(s):  
Zhenzhen Liu
Keyword(s):  
Economic Growth ◽  
Growth Rate ◽  
Regional Economy ◽  
Regional Economic Growth ◽  
Fixed Asset ◽  
Regional Economic ◽  
Fixed Assets ◽  
Investment Structure ◽  
China’S Economy ◽  
Vast Territory

Nowadays, it has been in the period of rapidly developing China’s economy. Since the financial crisis in 2008, China has paid more and more attention to investing in fixed assets, and the growth rate of investing in fixed asset is also rising. However, when promoting regional economic growth, if we only pay attention to the total amount of fixed asset investment, there will inevitably exist some blindness and lack of sustainability. Therefore, the study between the investment structure of fixed assets and regional economic growth is quite important. China has a vast territory and many regions. The investment structure of fixed assets in different regions is also different, so the influence on economic growth is also different. This paper analyzes the investment structure of fixed assets and regional economic growth, and help realize the rapid growth of regional economy by recognizing the current situation of China's investment structure of fixed assets.

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