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.
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.
