Izvorni znanstveni članak
https://doi.org/10.1080/1331677X.2023.2177182
Analysis of influencing factors of CO2 emissions based on different coal dependence zones in China
Yang Chen
Huaizhong Mu
Sažetak
There are differences in economic level, population size, and technical
level in different stages. At the same time, as a coal-dependent
country, other regions have foreign dependence on coal. Then
the primary factors and influence degrees of CO2 emissions in different
stages and areas with different coal dependents will be various.
This paper adds urbanization rate, industrial structure, and
energy consumption structure to the traditional STIRPAT model.
Based on the expanded STIRPAT model, the panel data of 30
regions in China from 2005 to 2019 are used to analyze the different
stages and areas with foreign coal dependence. The main influencing
factors and degree of influence of CO2 emissions.
Regression finds that population size, energy consumption, and
industrial structure will increase regional carbon dioxide emissions.
There is an “inverted U-shaped” curve relationship between economic
development, technological level, and carbon dioxide emissions.
The improvement of the urbanization rate can reduce carbon
dioxide emissions. Carbon dioxide emissions. An “inverted Ushaped”
curve relationship between per capita GDP and CO2 emissions
in three research periods from 2005 to 2010, 2011 to 2015,
and 2016 to 2019. At the same time, the inhibition effect of the
urbanization rate is constantly strengthened, and the promotion
effect of the coal consumption ratio is decreasing year by year. The
influence of population size, technical level, and industrial structure
on carbon dioxide emissions in the whole country and areas with
different coal dependents varies with the study period. To provide
a theoretical basis for local conditions and regional management in
the future direction of energy-saving and carbon reduction.
Ključne riječi
carbon dioxide emissions; coal dependence; STIRPAT model; Technology; China
Hrčak ID:
306847
URI
Datum izdavanja:
30.4.2023.
Posjeta: 148 *