ORIGINAL RESEARCH
Provincial Differences on CO2 Emissions
in China’s Power Industry:
A Quantile Regression Approach
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Department of Economics and Management, North China Electric Power University, Baoding, Hebei, China
Submission date: 2018-06-11
Final revision date: 2018-08-16
Acceptance date: 2018-08-26
Online publication date: 2019-05-29
Publication date: 2019-07-08
Corresponding author
Xin Zhang
Department of Economics and Management, Department of Economics and Management, North China Electric Power University, Baoding, Hebei 071003, 071003 Baoding, China
Pol. J. Environ. Stud. 2019;28(5):3929-3939
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ABSTRACT
As the world’s largest energy consumer today, China is causing increasing pressure on the global
environment, and the power industry might bear the primary responsibility for producing nearly 50%
of China’s CO2 emissions. Investigating the main drivers of CO2 emissions in China’s power industry
is of vital importance for developing effective environmental policies. Based on the panel data of
30 provinces in China, the quantile regression approach was applied in the present paper in order
to find out which provinces should pay more attention to mitigating CO2 emissions in the power industry.
Results show that the upper 90th quantile provinces (Guangdong, Jiangsu and Shandong) have to spend
more efforts on carbon reduction, and the influences of economic growth, industrialization level and
energy efficiency in these provinces are more significant than in others. These findings are extremely
helpful for related departments in the power industry to develop appropriate policies pertaining
to energy savings and emissions reduction.