Quantifying Socio-Regional Variability via Factor Analysis over China: Optimizing Residential Sector Emission Reduction Pathways
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.
Language: Английский
Evolutionary Game Analysis of Sustainable Aviation Fuel Promotion
Energy,
Journal Year:
2025,
Volume and Issue:
unknown, P. 135723 - 135723
Published: March 1, 2025
Language: Английский
Towards urban low-carbon industrial development through air pollution reduction: A spatiotemporal synergy perspective
Kang Gao
No information about this author
Gondwana Research,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 1, 2025
Language: Английский
Spatial–temporal evolution, drivers, and pathways of the synergistic effects of digital transformation on pollution and carbon reduction in heavily polluting enterprises
Wei Mai,
No information about this author
Lixin Xiong,
No information about this author
Bo Liu
No information about this author
et al.
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: April 8, 2025
Abstract
Under
the
“dual
carbon”
goals,
heavily
polluting
enterprises
face
dual
pressures
to
reduce
both
pollution
and
carbon
emissions,
necessitating
urgent
exploration
of
effective
pathways
for
coordinated
emission
reductions.
This
study
investigates
potential
digital
transformation
in
achieve
synergistic
First,
entropy
method
is
employed
measure
enterprise
digitalization
pollutant
levels,
spatial–temporal
evolution
characteristics
regional
reductions
are
analyzed.
Subsequently,
using
panel
data
from
Yangtze
River
Economic
Belt,
examines
impact
on
reduction,
its
underlying
mechanisms,
moderating
effects
environmental
policies
these
relationships.
Robustness
tests
confirm
synergy
between
emissions.
The
findings
reveal
that
contributes
reduction
emissions
enterprises,
primarily
through
two
pathways:
integration
internal
innovation
resources
collaborative
engagement
external
networks.
Furthermore,
air
control
low-carbon
city
initiatives
significantly
enhance
digitalization.
Interestingly,
located
downstream
regions
River,
those
with
smaller
operational
scales,
or
facing
strong
financing
constraints,
demonstrate
more
pronounced
transformation.
Based
conclusions,
we
recommend
governments
focus
strengthening
either
“pollution
reduction”
“carbon
policies,
as
alone
can
yield
benefits.
Additionally,
tailoring
local
conditions
maximize
economic
Language: Английский
Artificial intelligence modeling for power system planning
Sonja Knežević,
No information about this author
Mileta Žarković
No information about this author
Electrical Engineering,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 11, 2024
Language: Английский
The Impact of Carbon Emissions Trading Policy on Regional Economy and Pollution Reductions in Chinese Provinces
Hui Zhang,
No information about this author
Xiuying Lv
No information about this author
Atmosphere,
Journal Year:
2024,
Volume and Issue:
15(11), P. 1362 - 1362
Published: Nov. 13, 2024
Carbon
emissions
trading
policy
is
an
important
tool
to
achieve
carbon
peaking
and
neutrality
goals.
In
order
explore
the
effectiveness
of
policy,
this
paper
adopts
difference-in-differences
model
analyze
effects
China’s
pilot
on
regional
economic
development
pollution
reductions.
The
results
show
that
can
significantly
promote
reduce
total
emissions,
industrial
SO2
solid
wastes
production
regions.
Further
research
finds
there
significant
difference
in
effectiveness,
with
more
effective
western
areas.
addition
direct
effects,
could
exert
indirect
effect
air
quality,
by
optimizing
energy
consumption
structures
increasing
technological
investment.
This
result
verifies
“Porter
hypothesis”.
China
should
improve
construction
national
markets,
covering
industries,
considering
differences
negative
spillover
effect.
Language: Английский