Modeling the spatial spillover effects of energy consumption, environmental degradation and economic growth in high and middle-income countries

2019 ◽  
Author(s):  
Sayed Kushairi Sayed Nordin ◽  
Siok Kun Sek
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Environmental Degradation ◽  
Spillover Effects ◽  
Middle Income ◽  
Spatial Spillover ◽  
Middle Income Countries ◽  
Spatial Spillover Effects

scholarly journals Spatial Effects and Nonlinear Analysis of Energy Consumption, Financial Development, and Economic Growth in China

Energies ◽  
2020 ◽  
Vol 13 (18) ◽  
pp. 4982 ◽  
Author(s):  
Huan Zhou ◽  
Shaojian Qu ◽  
Qinglu Yuan ◽  
Shilei Wang
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Financial Development ◽  
Spillover Effects ◽  
Regional Economic Growth ◽  
Low Carbon ◽  
Regional Economic ◽  
Spatial Spillover ◽  
Econometric Methods ◽  
Spatial Spillover Effects

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.

scholarly journals Spatial spillover effects of county-scale tourism economic growth in Zhejiang Province

2020 ◽  
Vol 39 (9) ◽  
pp. 1512-1521
Author(s):  
Xiaoyan CHEN ◽  
Dong XU ◽  
Rui HUANG ◽  
Xiaohai HU ◽  
Zhenfang HUANG ◽  
...  
Keyword(s):  
Economic Growth ◽  
Spillover Effects ◽  
Zhejiang Province ◽  
Spatial Spillover ◽  
Spatial Spillover Effects ◽  
County Scale

scholarly journals Government Education Expenditure, Third-party Spillover Effect and Economic Growth in China

2016 ◽  
Vol 9 (2) ◽  
pp. 145 ◽  
Author(s):  
Jiangyi Qi
Keyword(s):  
Economic Growth ◽  
High Education ◽  
Positive Impact ◽  
Spillover Effects ◽  
Third Party ◽  
Education Expenditure ◽  
Spatial Spillover ◽  
Government Education ◽  
Local Economic Growth ◽  
Spatial Spillover Effects

This paper investigates the impacts of government education expenditure on economic growth in China taking into account the spatial third-party spillover effects. After the theretical analyse, a spatial panel estimation model based on the augmented Solow model is applied by using province data in China during 2007 and 2013. The results reveal that (1) In a whole, Government education expenditure in China has significantly positive impact on economic growth, but expenditure in different educational level shows different results. Government education expenditure in below high-education is positive related to local economic growth, whereas the effect of education expenditure in high-education is insignificant. (2) Neighboring government education expenditure shows spatial spillover effects on local economic growth, and spatial spillover effects in two education level is different. (3) Other input factors of third-governmet also have spatial effects. Some policies about education and economic development are proposed. Meanwhile this study recommends that corporation relationship among regions is very important.

Total-factor air environmental efficiency and its influencing factors in the areas along the Belt and Road in China: A spatial spillover perspective

2021 ◽  
pp. 0958305X2110151
Author(s):  
Ni-Ni Yin ◽  
Ke-Liang Wang ◽  
Zhen Yao ◽  
Li-Li Ding ◽  
Zhuang Miao
Keyword(s):  
Economic Development ◽  
Energy Consumption ◽  
Fixed Effects ◽  
Spillover Effects ◽  
Environmental Efficiency ◽  
Spatial Spillover ◽  
Positive Effects ◽  
Belt And Road ◽  
Spatial Spillover Effects ◽  
The Belt And Road

In order to promote sustainable economic development in the areas along the Belt and Road in China, it is of great necessity to reduce the negative impact of air pollutants resulting from industrialization and urbanization on the complex and fragile ecological environments of neighboring areas. First, this study estimated the total-factor air environmental efficiency (TFAEE) of 17 provinces along the Belt and Road in China from 2010 to 2017 using a slacks-based measure (SBM) model. Second, the global and local Moran indices were used to test the spatial correlations between TFAEEs. Finally, the spatial factors and spatial spillover effects influencing the TFAEEs were investigated using the spatial Durbin model with spatiotemporal double fixed effects. The results were shown as follows: (1) The total-factor TFAEEs of the areas along the Belt and Road were low and showed significant regional spatial differences during 2010–2017. (2) There was a positive spatial autocorrelation between the TFAEEs of the areas along the Belt and Road, and the spatial distribution generally clustered into High-High and Low-Low concentrations. (3) Economic development and technological innovation played significantly positive effects on TFAEEs of the areas in the Belt and Road, while energy consumption structure had negative effect on it. In addition, although industrial structure and environmental regulation were negatively correlated with TFAEEs, the coefficients were not significant. (4) The positive spatial spillover effect of the TFAEEs of the areas along the Belt and Road was mainly the result of significant environmental regulations and insignificant economic development factors, while the technological innovations, energy consumption structures and industrial structures showed insignificant negative spatial spillover effects.

scholarly journals Spatial Spillover Effect and Action Path of Electricity Consumption Driven by China’s Financial Development based on Global Co-integration

2021 ◽  
Author(s):  
Jianjun Xu ◽  
Xuejiao Ma ◽  
Xiaoqing Xu
Keyword(s):  
Economic Growth ◽  
Financial Development ◽  
Industrial Structure ◽  
Electricity Consumption ◽  
Structure Optimization ◽  
Spillover Effects ◽  
Short Term ◽  
Spatial Spillover ◽  
Spatial Spillover Effects ◽  
Industrial Structure Optimization

Abstract Although studies on the influencing factors of electricity consumption are rich, the focus on the relationship between financial development and electricity consumption is scarce due to the characteristics of financial sector. In fact, the financial development cannot only increase electricity consumption, but also have the spatial spillover effects. Based on the global spatial modelling techniques, the long-term and short-term relationship between financial development and electricity consumption is examined, and the intermediary effect of financial development on electricity consumption through economic growth, urbanization and industrial structure optimization is also verified. Results show that there is a global co-integration relationship between financial development, economic growth, urbanization, industrial structure optimization and China's electricity consumption, rather than a local co-integration relationship. When the short-term change of electricity consumption deviates from the equilibrium state, the global error correction mechanism can promote the unbalanced system to return to equilibrium from time and spatial dimension. This study not only confirms the spatial spillover effects, but also heterogeneous influences of financial development on electricity consumption, which provides new evidence to make relevant policies.

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