scholarly journals Spatial Spillover Effect of Government Public Health Spending on Regional Economic Growth during the COVID-19 Pandemic: An Evidence from China

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Xiaofei Li ◽  
Fen Chen ◽  
Songbo Hu

The COVID-19 pandemic, which was first reported at the end of 2019, has had a massive impact on the Chinese economy and society. The pandemic has seriously tested the emergency management capabilities of the Chinese government regarding public health. Based on the panel data of 31 provinces in China for the period of 2006–2019, this paper examines the impacts of government public health spending on regional economic growth. Furthermore, the possibility of spatial spillover effects of government public health spending is investigated through spatial econometric analysis. Government public health spending and regional economic growth have significant positive spatial correlation and spatial agglomeration effects. The indicator of government public health spending significantly promotes regional economic growth. In addition, it significantly promotes the economic growth of neighboring areas through certain spatial spillovers.

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4982 ◽  
Author(s):  
Huan Zhou ◽  
Shaojian Qu ◽  
Qinglu Yuan ◽  
Shilei Wang

Energy consumption is of great significance to the sustainable development of the economy. Due to the spatial heterogeneity of low-carbon growth in regional economies, the relationship between energy consumption and economic growth is complicated. However, a few researches have been published about spatial spillover effects and non-linearity of energy consumption and financial development on regional economic growth in China. Based on the panel data of 30 provinces in China from 2007 to 2017, this paper analyzes the spatial spillover effects and threshold effects of energy consumption and financial development on regional economic growth by using spatial and nonlinear econometric methods. The main conclusions are as follows. Spatial econometric methods show that financial development and energy consumption are two factors of production input to promote China’s economic growth. Meanwhile, energy consumption and financial development have spillover effects on regional economic growth. Additionally, the nonlinear econometric method finds that with increasing financial development, the impact of energy consumption on economic growth is segmented. Therefore, relevant policies should be implemented to enhance the role of finance in energy consumption to promote low-carbon growth of China’s economy.


2018 ◽  
Vol 10 (12) ◽  
pp. 4695 ◽  
Author(s):  
Feng Li ◽  
Guangdong Li

As the processes of globalization and localization deepen, spatial externalities of economic growth are becoming increasingly apparent. The agglomeration mechanisms and spillover effects of China’s regional economic growth are also gradually gaining attention. Nevertheless, there is a continuing lack of research at the prefecture and county levels. As a result, building on the foundations of new economic geography and centered on the concept of market potential, this paper used spatial econometrics and panel data from Chinese counties to calculate inequality in the economic growth of counties at the prefecture level for the period 1992–2013. It also investigated the agglomeration versus economic inequality trade-off as well as quantitatively measuring spatial spillover effects at the county and prefecture level in China. The results showed that economic agglomeration, represented by market potential, had a significant influence on economic growth at the prefecture level in China. In addition, economic agglomeration exacerbated regional economic inequality, but economic inequality within a controllable range was found to have a positive influence on economic growth. Thus, there is a trade-off between economic growth and economic agglomeration. Economic growth at the prefecture level in China is not yet free of the effects of basic factors of production, and direct spillover effects, represented by market potential, have the most significant and strongest positive influence on economic growth. Moreover, it was found that the economic growth of prefectures was inseparable from the random impacts of surrounding prefectures and that it was also affected by indirect spatial spillover effects. On the whole, the rational use of the benefits of regional economic agglomeration and spillover effects, the gradual removal of market barriers, and the transformation of the development of prefecture-level economic growth will be the keys to prefecture-level economic development in the future.


2012 ◽  
Vol 23 (4) ◽  
pp. 982-990 ◽  
Author(s):  
Chong-En Bai ◽  
Hong Ma ◽  
Wenqing Pan

2018 ◽  
Vol 64 (No. 4) ◽  
pp. 163-169 ◽  
Author(s):  
Anousheh Shahrzad ◽  
Hojabr-Kiani Kambiz ◽  
Mojtahed Ahmad ◽  
Ranjbar Homayoun

Agricultural R&D has been identified as an important determinant of economic output in the agricultural sector. Surprisingly, in previous studies, spatial spillover associated with R&D spending in the agricultural sector has not been taken into account. This paper investigates the effects of spatial spillover of agricultural R&D on regional economic growth across EU-28 NUTS-II regions in the period 1995–2014. In particular, we extend previous studies by considering spillover in all sectors of agricultural R&D performance including business enterprise, government and higher education. The spatial Durbin panel data model is employed to estimate brooders effect including direct and indirect effects. Empirical results show a positive effect of agricultural R&D and its spatial spillover on regional growth in all performance sectors. Moreover, the impact of spatial spillover of agricultural R&D on regional growth depends on the performance of the R&D sectors; positive spillovers are stronger in the business enterprise sector. Finally, the interaction effect between the economic output of the agricultural sector of each region with that of its neighbours is significantly positive.  


2019 ◽  
Vol 19 (1) ◽  
pp. 62-83
Author(s):  
Aspiansyah Aspiansyah ◽  
Arie Damayanti

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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