scholarly journals The Spillover Effect of Labor Agglomeration on Regional Economic Growth

2021 ◽  
Vol 13 ◽  
pp. 378-385
Author(s):  
Yunfei Ding
Keyword(s):  
Economic Growth ◽  
Fixed Effects ◽  
Mainland China ◽  
Spillover Effect ◽  
Regional Economic Growth ◽  
Dependency Ratio ◽  
Regional Economic ◽  
Impact Mechanism ◽  
Surrounding Areas ◽  
Spatial Spillover Effect

Under the background that China's labor force is decreasing and they can move freely, this paper selects the Spatial Doberman model with time-individual fixed effects to analyze and study the spatial spillover effect and its impact mechanism of the labor agglomeration of 31 provinces in mainland China from 2003 to 2018 on regional economic growth. It was found that in China, the increase in the concentration of labor in a region and surrounding areas can promote economic growth in the region through the increase in marketization and the decline in the dependency ratio. However, the current regional economic growth in China is manifested by the promotion of labor agglomeration in the region and the suppression of labor agglomeration in the surrounding areas.

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 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.

scholarly journals Does the Expansion of Urban Construction Land Promote Regional Economic Growth in China? Evidence from 108 Cities in the Yangtze River Economic Belt

2018 ◽  
Vol 10 (11) ◽  
pp. 4073 ◽  
Author(s):  
Hualin Xie ◽  
Zhenhong Zhu ◽  
Bohao Wang ◽  
Guiying Liu ◽  
Qunli Zhai
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Yangtze River ◽  
Spillover Effect ◽  
Regional Economic Growth ◽  
The Yangtze River ◽  
Regional Economic ◽  
Construction Land ◽  
Urban Construction ◽  
The Impact

Since the reform and opening up, China’s economy has maintained rapid growth. At the same time, the process of urbanization in China has been accelerating and the scale of urban construction land has expanded accordingly. The purpose of the research is to explore whether there is an inevitable connection between the expansion of urban construction land and economic growth. This study uses 108 prefecture-level cities in the Yangtze River Economic Belt as an example. Considering panel data from 2005 to 2015, the spatial econometric model was used to explore the impact of urban construction land expansion on regional economic growth. The results are as follows: (1) The expansion of construction land in cities in the Yangtze River Economic Belt has a significant impact on economic growth but the extent of the impact is not as great as that of capital stock. (2) In the Yangtze River Economic Belt, the expansion of urban construction land in a certain area has not only a positive effect on the local economic growth but also a certain spillover effect and it can promote the economic development level of the adjacent areas in the economic belt. (3) Although the expansion of urban construction land along the Yangtze River Economic Belt promotes economic growth, there are obvious differences between regions. The expansion of urban construction land in the central region of the Yangtze River Economic Belt has a significant driving effect on economic growth. However, the expansion of urban construction land in the eastern and western regions has no significant effect on the economic growth of the respective regions. Finally, based on the above conclusions, this paper proposes corresponding policy recommendations for economic development in different regions. These research conclusions will also facilitate the follow-up of other researchers to further explore the driving factors of the economic development of many prefecture-level cities in the Yangtze River Economic Belt and the related mechanisms for the expansion of construction land to promote economic growth.

scholarly journals Empirical Analysis on Regional Economic Growth from the Perspectives of Entrepreneurship and Investment in Research and Development

2020 ◽  
Vol 15 (8) ◽  
pp. 1259-1265
Author(s):  
Hongmei Chen ◽  
Min Liang
Keyword(s):  
Economic Growth ◽  
Research And Development ◽  
Fixed Effects ◽  
Panel Data Analysis ◽  
Regional Economic Growth ◽  
Fixed Effects Model ◽  
Promoting Effect ◽  
Regional Economic ◽  
Entrepreneurial Spirit ◽  
D Investment

This paper mainly assesses the influence of entrepreneurship over regional economic growth (REG) and the investment in research and development (R&D), and puts forward countermeasures to promote the REG. The fixed effects model for panel data analysis was adopted to evaluate how entrepreneurship directly affects REG and indirectly affects REG via R&D investment. The results show that the entrepreneurial and innovative spirits of entrepreneurs promote economic growth; the promoting effect of entrepreneurial spirit is greater than that of innovative spirit; R&D investment mediates the influence of entrepreneurship over economic growth; the three major economic regions of China, namely, East, Central, and West China, have different laws in the influence of entrepreneurial spirit and innovative spirit on economic growth and R&D investment, owing to the variation in resources endowment and entrepreneurship allocation. The research results help policy-makers formulate regional economic development strategies in the light of entrepreneurship configuration and R&D investment.

scholarly journals Study of the Spillover Effect on Sport to Chinese Regional Economic Development

2019 ◽  
Vol 10 (5) ◽  
pp. 487
Author(s):  
Huijun Jiang ◽  
Myeong Cheol Choi ◽  
Xinke Leng
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Data Model ◽  
Spillover Effect ◽  
Spillover Effects ◽  
Regional Economic Growth ◽  
Panel Data Model ◽  
Regional Economic ◽  
Incentive Effect

Sports development can lead to the emergence of external economies, which forms part of the spillover effects on regional economic growth under certain conditions. This study uses a sample of 31 provinces in China from 2008–2012 to construct a panel data model to examine the role of sports development in the regional economic growth in the C-D function. The results indicate that sports development indeed brings a good incentive effect to the economy in all areas, which suggests a spillover effect of Chinese sports development that stimulates regional economic growth, but this spillover effect reflects a greater difference between different regions. Overall, Hebei, Jiangxi, Henan, Hubei, Hunan, and Sichuan have the highest coefficient of sports investment on economy, but Jilin is relatively weak.

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