Exploring the low-carbon development path of resource-based cities based on scenario simulation
Liyong Cao,
No information about this author
Peian Chong
No information about this author
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: Feb. 18, 2025
Abstract
Resource-based
cities
(RBCs)
have
historically
been
constrained
by
their
inherent
characteristics,
impeding
rapid
shifts
in
energy
consumption
patterns
and
exerting
substantial
pressure
on
regional
decarbonization
efforts.
Herein,
18
RBCs
southwestern
China
were
taken
as
the
research
object.
Firstly,
a
resilience
index
system
was
constructed
for
resource
ecosystem
socio-economic
of
RBCs,
optimization
mutation
level
algorithm
used
to
measure
each
city.
Secondly,
an
interval
prediction
model
established
carbon
emissions
based
GA-DBN-KDE
algorithm.
Finally,
setting
16
scenarios,
emission
range
“carbon
peak”
time
Southwest
from
2023
2040
predicted,
scientific
path
low-carbon
development
explored
under
differentiated
scenarios.
The
results
indicated
that:
(1)
urban
levels
both
rise;
(2)
demonstrated
excellent
performance;
(3)
simulation
scenarios
revealed
varying
specific
paths
achieve
peak,
underscoring
necessity
city-specific
policy
formulation.
Overall,
this
paper
provides
new
analytical
method
transformation
further
forging
basis
decision-makers
formulate
reduction
measures.
Language: Английский
Towards sustainable development: can industrial collaborative agglomeration become an accelerator for green and low-carbon transformation of resource-based cities in China?
Journal of Environmental Management,
Journal Year:
2025,
Volume and Issue:
381, P. 125199 - 125199
Published: April 10, 2025
Language: Английский
Spatiotemporal Dynamics of Land Use Carbon Balance and Its Response to Urbanization: A Case of the Yangtze River Economic Belt
Land,
Journal Year:
2024,
Volume and Issue:
14(1), P. 41 - 41
Published: Dec. 28, 2024
Urbanization
and
its
impact
on
land
use
cover
change
are
key
drivers
of
global
carbon
balance
shifts.
Understanding
the
spatiotemporal
evolution
in
relation
to
urbanization
helps
optimize
regional
planning
sustainable
development.
This
study
develops
a
city-level
system
quantify
dynamics
across
130
cities
Yangtze
River
Economic
Belt
(YREB).
Moran’s
Index
is
applied
assess
spatial
correlation
balance,
Environmental
Kuznets
Curve
(EKC)
used
explore
relationship
between
levels
net
emissions.
The
results
show
following:
(1)
From
2005
2021,
absorption
YREB
remained
relatively
stable,
whereas
emissions
increased.
Net
increased
by
574.61,
456.16,
1163.60
Mt
C
upper,
middle,
lower
reaches,
respectively.
Nearly
98%
exhibited
index
greater
than
1,
indicating
deficit.
Carbon
emission
intensity
displayed
decreasing
trend,
with
most
significant
reductions
observed
middle
reaches.
(2)
Land
exhibits
positive
correlation,
northeastern
reaches
southwestern
upper
forming
“high–high”
“low–low”
clusters.
(3)
per
capita
followed
an
inverted
“N”-shaped
curve,
turning
points
at
around
30%
85%
urbanization.
provides
insights
into
optimizing
management
amidst
urban
growth
YREB.
Language: Английский
A Study on the Decoupling Effect Between Economic Development Level and Carbon Dioxide Emissions: An Empirical Analysis Based on Mineral Resource-Based Cities in Southwest China
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(22), P. 10081 - 10081
Published: Nov. 19, 2024
Mineral
resource-based
cities
(MRBCs)
refer
to
with
mining
and
processing
of
mineral
resources
as
the
main
industry,
so
there
is
a
close
relationship
between
their
economic
development
resource
consumption.
However,
this
often
hinders
its
rapid
transition
towards
diversification
low-carbon
models.
Based
on
quantifying
index
level
18
MRBCs
in
southwest
China,
paper
has
employed
Tapio
elasticity
coefficient
method
(Tapio
model)
Environmental
Kuznets
Curve
(EKC
curve)
analyze
decoupling
effect
carbon
dioxide.
After
deep
research
“decoupling”
phenomenon
dynamic
changes
emissions,
aimed
explore
transformation
path
suitable
for
each
city.
The
results
have
indicated
that:
(1)
overall
trend
dioxide
emissions
increasing,
but
growth
rate
gradually
slowing
down,
effectively
controlling
situation
emissions.
(2)
shows
an
upward
trend,
increases,
which
signifies
positive
development.
(3)
began
China
2013,
was
achieved
2019.
Language: Английский