Please use this identifier to cite or link to this item: https://doi.org/10.3390/en13184982
Title: Spatial effects and nonlinear analysis of energy consumption, financial development, and economic growth in China
Authors: Zhou, H.
Qu, S.:rp24993:600
Yuan, Q.
Wang, S.
Keywords: Energy consumption
Financial development
Nonlinear econometric method
Spatial econometric method
Sustainable development
Issue Date: 2020
Publisher: MDPI AG
Citation: Zhou, H., Qu, S.:rp24993:600, Yuan, Q., Wang, S. (2020). Spatial effects and nonlinear analysis of energy consumption, financial development, and economic growth in China. Energies 13 (18) : 4982. ScholarBank@NUS Repository. https://doi.org/10.3390/en13184982
Rights: Attribution 4.0 International
Abstract: 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. © 2020 by the authors.
Source Title: Energies
URI: https://scholarbank.nus.edu.sg/handle/10635/199716
ISSN: 1996-1073
DOI: 10.3390/en13184982
Rights: Attribution 4.0 International
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