Cluster Analysis of CO2 Emissions by the Chinese Power Industry
Lei Wen 1,2
More details
Hide details
Department of Economics and Management, North China Electric Power University, Baoding, Hebei, China
The Academy of Baoding Low-Carbon Development, Baoding, Hebei, China
Submission date: 2017-09-29
Final revision date: 2017-11-03
Acceptance date: 2018-01-02
Online publication date: 2018-09-19
Publication date: 2018-12-20
Corresponding author
Linlin Huang   

North China Electric Power University, North China Electricity Power University, 071003 Baoding, Hebei, China, China
Pol. J. Environ. Stud. 2019;28(2):913-921
The power industry is a major fossil fuel consumer in China, with large amounts of CO2 emissions released from the production process of the power industry. To decrease CO2 emissions, it is practical to start by analyzing its influencing factors in the power industry. This paper identified five influencing factors of CO2 emissions through the extended STIRPAT model, including GDP, urbanization level, electric power structure, industrialization level, and power-consumption efficiency. According to the projection pursuit model, 30 provinces in China were divided into 4 categories based on the average of all the best projection values. Results indicate that there were positive correlations between the five influencing factors and CO2 emissions – especially per capita GDP, power-consumption efficiency, and urbanization level. The impact of industrialization level and electric power structure on CO2 emissions fluctuated greatly. The regional features of the each type were analyzed and policy implications proposed.
Journals System - logo
Scroll to top