Frontiers in Energy Research,
Journal Year:
2024,
Volume and Issue:
12
Published: Oct. 1, 2024
This
study
evaluates
the
impact
of
China’s
carbon
finance
development
on
emission
reduction
and
its
role
in
promoting
low-carbon
economic
growth.
We
construct
an
evaluation
index
system
employ
Systematic
Cluster
Analysis
(SCA)
Data
Envelopment
(DEA)
methods
to
analyze
markets
five
representative
Chinese
provinces
(autonomous
regions).
Utilizing
DEA-BCC
model
DEA-Malmquist
index,
we
conducted
in-depth
analysis
effects
between
2022
2023.
Our
findings
reveal
that
while
significantly
contributes
reduction,
there
are
considerable
regional
disparities
effectiveness.
Beijing
Guangdong
achieved
DEA
efficiency,
whereas
Jilin,
Ningxia,
Xinjiang
experienced
efficiency
losses,
suggesting
a
need
for
structural
optimization.
The
provides
insights
into
challenges
potential
improvements
sector
offers
policy
recommendations
enhancing
market
mechanisms,
technological
innovation,
social
engagement
support
peak
neutrality
goals.
Energy & Environment,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Feb. 8, 2024
Existing
research
on
the
state
transition
process
of
ecological
resilience
(ER)
has
neglected
ultimate
goal
enhancing
well-being
and
lacks
theoretical
framework
support.
To
address
these
issues,
we
have
innovatively
developed
a
three-dimensional
analysis
“resistant,
absorptive,
restorative
capacity”
to
measure
ER.
We
also
explored
regional
unevenness
factors
influencing
ER
at
provincial
level
in
China
through
spatiotemporal
evolution
GeoDetector
models.
The
results
indicate
that:
Chinese
provinces
ranges
from
0.415
0.596,
with
all
falling
into
risk
or
good
areas.
Furthermore,
fluctuating
increasing
trend
is
observed.
eastern
coastal
provinces,
such
as
Beijing
Shandong,
comprise
predominantly
areas
that
are
distributed
band
manner,
while
western
notably
Xinjiang,
primarily
clustered
pattern.
per
capita
electricity
consumption,
GDP,
patent
applications
high-tech
industries
identified
primary
heterogeneity
resilience,
interaction
effects
each
factor
synergistic
enhancement
effects.
Spatial
displays
certain
degrees
“nonhomogeneous”
agglomeration
spatial
heterogeneity.
However,
no
apparent
polarization
phenomenon
These
findings
provide
valuable
insights
for
cities
aiming
risks
enhance
urban
resilience.
