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.

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

Study on the Measurement of Industrial Structure “Sophistication, Rationalization and Ecologicalization” Based on the Dynamic Analysis of Grey Relations — A Case Study of Beijing-Tianjin-Hebei

2020 ◽  
Vol 8 (2) ◽  
pp. 130-147
Author(s):  
Shiyi Yuan ◽  
Xiaopeng Sun ◽  
Weiguo Chen ◽  
Yongwu Li
Keyword(s):  
Economic Growth ◽  
Industrial Structure ◽  
Structure Optimization ◽  
Coordinated Development ◽  
Economic Growth Rate ◽  
Dynamic Correlation ◽  
Industrial Structure Optimization ◽  
High Level ◽  
The Relationship

AbstractThe Beijing-Tianjin-Hebei region is one of the regions with the most dynamic economies, highest degrees of openness, strongest innovation capacities and largest populations, as well as an important engine driving China’s economic development. Currently, the development of the Beijing-Tianjin-Hebei region faces many difficulties, including an inefficient distribution of regional functions, imbalance in industrial structure, low sophistication, and serious overburdening of resources and the environment. Promoting the overall coordinated development of the region has become an urgent challenge. In this paper, according to the conventions of industrial structure optimization, the three core indicators of regional industrial structure rationalization, sophistication and ecologicalization are constructed. With the help of the grey dynamic correlation model, the three indicators are coupled with the economic growth rate, and the industrial structure optimization index of the Beijing-Tianjin-Hebei region is comprehensively measured. The study shows that rationalization of the industrial structure in the Beijing-Tianjin-Hebei region is increasing but that this trend is not obvious; sophistication of the industrial structure is relatively high and has also been operating at a high level; however, the overall ecological level of the industrial structure in the Beijing-Tianjin-Hebei region is not high and presents the characteristics of high in the middle and low at both ends. In terms of the relationship between industrial structure and economic growth in the Beijing-Tianjin-Hebei region, ecologicalization of the industrial structure has the greatest influence on economic growth, followed by sophistication of the industrial structure, and rationalization of the industrial structure has the weakest influence.

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.

scholarly journals RESEARCH ON THE RELEVANCE AND SPATIAL SPILLOVER EFFECTS OF ENVIRONMENTAL POLLUTION, FINANCIAL DEVELOPMENT AND ECONOMIC GROWTH IN CHINA

2021 ◽  
Author(s):  
HAIFENG PAN ◽  
DINGSHENG ZHANG
Keyword(s):  
Economic Growth ◽  
Economic Development ◽  
Environmental Pollution ◽  
Financial Development ◽  
Spatial Dependence ◽  
Significant Positive Correlation ◽  
Spillover Effects ◽  
Spatial Spillover ◽  
Positive Correlation ◽  
Economic Distance

Abstract. Comprehensively considering the factors of environmental pollution, financial development and spillover effects, this paper analyzes the spatial dependence and clustering characteristics by selecting provincial panel data from 2005 to 2018. Meanwhile, considering geographic distance, economic distance and asymmetric factors, the optimal spatial econometric models are determined by constructing five different weight matrices and utilizing spatial panel models. The results show that (1) there existed significant positive correlation in the regional economic development and the spatial dependence played a significant role in promoting the economic development; (2) the direction and significance of spatial spillover effects were consistent under different spatial weights, and the spatial weight which considered geographical distance, economic distance and asymmetric factors proved to be the best; (3) the environmental pollution had a significant positive correlation with economic growth; (4) financial development had some positive effects on economic growth; (5) financial development was conducive to reducing the impact of environmental pollution on economic growth, and the promotion of environmental quality could strengthen the role of financial development in promoting economic growth; (6) from the perspective of regional heterogeneity, the cross terms of environmental pollution and financial development were not significant in the eastern region, but significantly negative in the central and western regions.

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