Atmosphere,
Journal Year:
2024,
Volume and Issue:
15(6), P. 641 - 641
Published: May 26, 2024
It
is
of
great
scientific
value
to
study
the
spatial
differences
and
influencing
factors
carbon
emission
intensity
(CEI)
in
urban
agglomerations
(UAs),
it
also
has
reference
significance
for
China
formulating
energy-saving
emission-reduction
policies
achieve
target
neutrality.
Taking
165
prefecture-level
cities
19
UAs
from
2007
2019
as
research
object,
this
investigated
CEI
using
exploratory
data
analysis
explored
via
Geodetector.
The
results
showed
following:
(1)
a
downward
trend.
(2)
typical
agglomeration
characteristics,
where
North
comprises
mainly
high-high
low-high
types,
whereas
South
primarily
high-low
low-low
types.
(3)
have
undergone
transformation
industrial
structure
population
urbanization.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(1), P. 353 - 353
Published: Jan. 6, 2025
The
development
of
new-type
urbanization
(NTU)
represents
a
crucial
strategic
approach
to
fostering
new
drivers
economic
growth.
Despite
its
importance,
limited
research
has
explored
the
effects
and
underlying
mechanisms
through
which
NTU
influences
quality
productive
forces
(NQPFs),
key
indicators
emerging
dynamism.
Addressing
this
gap,
present
study
analyzes
panel
data
from
283
Chinese
cities
spanning
2009
2022,
applying
difference-in-differences
(DID)
model
empirically
evaluate
impact
New-Type
Urbanization
Pilot
Policy
(NTUPP)
on
NQPFs.
findings
reveal
that
NTUPP
significant
positive
effect
NQPFs,
conclusion
is
supported
by
series
robustness
endogeneity
checks.
Specifically,
NTUPP’s
implementation
corresponds
an
average
increase
1.1%
in
policy
facilitates
NQPF
growth
primarily
such
as
talent
agglomeration
optimal
resource
allocation.
Notably,
particularly
effective
boosting
NQPFs
at
lower
initial
levels.
Since
inherently
reflect
green
productivity,
NTU’s
emphasis
green,
low-carbon,
civilizational
features
markedly
amplifies
policy’s
while
focus
smart
aspects
appears
mitigate
effect.
These
contribute
valuable
empirical
insights
context,
highlighting
potential
accelerate
drivers.
Land,
Journal Year:
2025,
Volume and Issue:
14(3), P. 537 - 537
Published: March 4, 2025
Increasing
air
pollution,
rising
carbon
emissions,
and
urban
shrinkage
pose
significant
challenges
for
sustainable
development
in
China.
Exploring
the
relationship
between
synergy
effect
of
pollution
reduction
mitigation
(SPRCR)
can
contribute
to
systematically
addressing
green
development.
However,
few
studies
have
analyzed
all
three
factors
within
a
unified
analytical
framework.
Therefore,
our
study
takes
288
cities
at
prefecture
level
above
China
as
research
objects
endeavors
apply
Coupling
Coordination
Degree
(CCD),
Multi-scale
Geographically
Weighted
Regression
(MGWR),
Geodetector
(v2.1.0)
analyze
influence
on
SPRCR.
From
analysis,
it
was
demonstrated
that
(1)
general,
inhibit
an
improvement
synergistic
degree
SPRCR,
but
inhibition
is
weak.
(2)
The
this
shows
spatial
heterogeneity,
with
negative
impact
SPRCR
mainly
concentrated
northeast
region.
(3)
interaction
construction
land
expansion
more
than
other
factors,
enhancement
most
obvious.
Given
regional
differences
development,
provides
valuable
insights
promoting
Frontiers in Environmental Science,
Journal Year:
2025,
Volume and Issue:
13
Published: April 10, 2025
Digital
infrastructure,
as
a
core
component
of
new
plays
powerful
engine
role
in
driving
urban
development.
It
not
only
profoundly
shapes
the
future
landscape
cities
but
also
an
irreplaceable
accelerating
dual
transition
industries
toward
digitization
and
greening.
This
process
promotes
deep
integration
synergistic
development
greening
cleverly
builds
bridge
for
benefits
pollution
reduction
carbon
reduction,
laying
solid
foundation
achieving
environmentally
friendly
resource-saving
society.
study
adopt
multifaceted
approach
to
explore
impact
digital
infrastructure
on
management
abatement
reductions.
The
coefficient
this
effect
was
statistically
significant
at
1%
significance
level
(0.1056),
demonstrating
its
capacity
support
reductions
both
emissions,
with
regional
variations
observed.
Furthermore,
examining
factor
flows
reveals
that
enhanced
labor,
capital,
innovation
flows.
Notably,
these
sectors
exhibited
coefficients
57.5616,
0.0097,
0.0189
respectively.
These
findings
point
nexus
between
sustainable
A
nonlinear
U-shaped
relationship
observed
joint
mitigation
reduction.
concludes
policy
recommendations
aiming
optimize
utilization
goals.
