Environments,
Journal Year:
2025,
Volume and Issue:
12(2), P. 37 - 37
Published: Jan. 22, 2025
Policy
synergy,
the
evidence-based
coordination
of
public
policies,
can
aid
in
more
rapidly
achieving
air
pollutant
and
carbon
dioxide
(CO2)
emission
reduction
targets.
Using
logarithmic
mean
Divisia
index
(LMDI)
decomposition,
coupling
degree
(CCD),
geographically
temporally
weighted
regression
(GTWR)
models,
we
analyzed
characteristics,
drivers,
pathways
residential
pollution
across
30
Chinese
provinces
from
2001
to
2020.
The
southern
produced
than
northern
provinces,
with
gap
widening
after
2015.
In
sector,
energy
factors
(LMDI
decomposition
result,
686,681.9)
population
size
(14,331)
had
greater
impacts
on
emissions
structure,
intensity,
synergies,
or
GDP
per
capita.
GTWR
analysis
CCD
mechanism
indicated
that
hydroelectricity
urbanization
enhanced
southeast.
Meanwhile,
west,
was
improved
by
R&D
investment,
government
spending
industrial
control,
electricity
consumption,
capita
cropland,
temperature,
urbanization.
This
provides
a
valuable
reference
for
optimizing
strategies.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
159, P. 111662 - 111662
Published: Jan. 31, 2024
Carbon
emissions
and
air
pollutant
in
China
share
common
sources.
A
thorough
examination
of
carbon
is
imperative
for
a
comprehensive
understanding.
This
study
aims
to
assess
carbon-pollutant
efficiency
(CPEE)
30
Chinese
provinces
from
2006
2020,
focusing
on
the
integration
emissions.
Previous
research
CPEE
limited,
this
article
addresses
gap
by
investigating
its
spatiotemporal
characteristics
identifying
potential
influencing
factors.
Our
employs
super-efficiency
data
envelopment
analysis
model,
social
network
analysis,
spatial
econometric
models.
The
results
indicate
that:
(1)
During
period,
provincial
follows
"W-shaped"
trend
exhibits
"bimodal"
asymmetric
distribution,
indicating
notable
regional
heterogeneity.
(2)
Although
correlations
are
unstable
do
not
adhere
strict
hierarchical
structure,
positive
spillover
effects
evident
CPEE.
(3)
correlation
displays
various
characteristics,
including
Matthew
effect,
external
preference,
siphoning
altruistic
tendency.
(4)
Apart
technical
input,
explanatory
variables
affecting
exert
significantly
negative
direct
impact.
Furthermore,
indirect
effect
energy
intensity
contradicts
when
economic
distance
considered
weight
setting.
These
findings
provide
valuable
theoretical
insights
practical
guidance
improving
synergistic
effects.
