期刊
ENERGY REPORTS
卷 7, 期 -, 页码 783-791出版社
ELSEVIER
DOI: 10.1016/j.egyr.2021.09.194
关键词
CO2 emissions; Fossil fuel; Renewable energy; ARDL
资金
- National Natural Science Foundation of China [71763034]
- YNAU, China Outstanding Scholar Project [2020JY08]
This study examines the relationship between renewable energy, fossil fuel consumption, economic growth, urbanization, and CO2 emissions in China from 1990 to 2020. The findings suggest an inverted U-shaped relationship between CO2 emissions and GDP per capita, with fossil fuel consumption increasing CO2 emissions in China. The study also indicates a potential cumulative effect of renewable energy consumption on reducing CO2 emissions.
This study investigates the relationship between renewable energy, fossil fuel consumption, economic growth, urbanization and CO2 emissions in China via the commonly used Autoregressive Distributed Lag (ARDL) model under the Environmental Kuznets Curve (EKC) hypothesis examining the period from 1990 to 2020. The aim of this work is to test the role of long- and short-term dynamics of renewable energy consumption in reducing CO2 emissions in China. The findings strongly support the existence of an inverted U-shaped relationship between CO2 emissions and GDP per capita, both in the long and short term. Not surprisingly, fossil fuel use increases the level of CO2 emissions in China. We show that a 1% increase in fossil fuel consumption per capita increases the CO2 emission per capita by 0.235% in the long term. The role of renewable energy consumption in reducing CO2 emissions might result from a cumulative effect. A 1% increase in renewable energy consumption per capita decrease the CO2 emissions per capita by 0.259% in the long run, while our findings reveal that the rapid development of the renewable energy industry in China contemporarily increases CO2 emissions and 1% renewable energy consumption increase the CO2 emissions by 0.285% to 0.288% in the short term. Our conclusions suggest that China's energy policy should further encourage the use of renewable power sources in the energy mix and further increase awareness of the increased short-term levels of carbon emissions associated with the rapid development of the renewable energy industry in China. (C) 2021 The Author(s). Published by Elsevier Ltd.
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