Frontiers in Environmental Science,
Journal Year:
2023,
Volume and Issue:
11
Published: Feb. 16, 2023
Based
on
panel
data
of
282
cities
in
China
from
2005
to
2019,
this
paper
constructs
an
economic
resilience
evaluation
index
system
three
dimensions
and
applies
the
entropy
value
method
measure
it.
The
two-stage
nested
Thiel
index,
kernel
density
estimation
geographic
detector
methods
are
also
used
explore
characteristics
their
spatial
temporal
divergence
driving
factors.
We
find
that
Chinese
has
increased
rapidly
over
sample
period,
but
with
significant
variation,
intra-provincial
variation
being
main
source
overall
variation.
Without
considering
conditions,
a
strong
stability.
In
case
factors
have
impact
low
resilience,
not
high
resilience.
Differences
technological
innovation
capabilities
key
driver
cities.
interaction
any
two
enhances
respective
effects
differentiation
above
findings,
should
actively
targeted
differentiated
ways
improve
based
comparative
advantages,
accelerate
construction
collaborative
improvement
mechanism
for
urban
support
China.
Our
findings
provide
useful
reference
promoting
concerted
Frontiers in Environmental Science,
Journal Year:
2024,
Volume and Issue:
11
Published: Jan. 4, 2024
To
systematically
explore
land
use/cover
change
(LUCC)
trends
and
driving
mechanisms
at
the
large
watershed
scale
under
background
of
climate
rapid
urbanization.
Taking
lower
reaches
Yangtze
River
(LRYR)
as
research
object,
based
on
use
remote
sensing
monitoring
data
from
1980
to
2020,
spatial
temporal
evolution
characteristics
LUCC
in
LRYR
were
analyzed
by
adopting
methods
dynamics
degree
(LUDD)
hotspot
analysis
used
geospatial
detectors
quantitatively
assess
intensity
role
drivers
LRYR.
The
results
show
that:
1)
land-use
types
dominated
arable
woodland,
accounting
for
more
than
70%
total
area.
During
study
period,
construction
area
increased
11,835
km
2
,
became
third
largest
type
after
2010
formed
a
typical
urban
contiguous
zone
along
route
Nanjing
Shanghai.
2)
comprehensive
index
(LUDCI)
each
stage
is
270.91,
270.88,
272.22,
272.72,
274.00,
275.57,
276.93
280.37,
respectively.
has
become
dramatic,
there
significant
heterogeneity.
Shanghai
always
been
hot
Huangshan
Chizhou
are
cold
spots
LUCC.
3)
mechanism
can
be
divided
into
three
stages.
In
these
stages,
secondary
industry
output
value,
precipitation,
elevation
important
factors
affecting
interaction
between
significant.
strongest
value
∩
above
0.6.
great
significance
promoting
sustainable
development
this
region.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Aug. 22, 2024
As
the
mainstream
and
trend
of
urban
development
in
China,
deeply
exploring
spatiotemporal
patterns
influencing
mechanisms
ecosystem
service
value
Yangtze
River
Delta
agglomeration
is
great
significance
for
achieving
sustainable
goals
agglomerations.
This
paper
uses
normalized
difference
vegetation
index
net
primary
productivity
as
dynamic
adjustment
factors
to
measure
analyze
its
evolution
characteristics.
Furthermore,
a
panel
quantile
regression
model
constructed
explore
response
differences
at
different
levels
various
factors.
The
results
show
that:
(1)
From
2006
2020,
decreased
by
37.086
billion
yuan,
with
high-value
areas
mainly
concentrated
southern
part
agglomeration.
(2)
structure
land
type
ecosystems
sub-services
stable.
(3)
number
grid
units
reduced
continuously
increasing,
distributed
eastern
coastal
areas.
(4)
degree
interference
types
on
varies,
same
factor
also
shows
heterogeneity.
In
summary,
analyzing
conducive
adjusting
intensity
human
utilization
protection
methods
ecosystems,
which
enhancing
products
Frontiers in Environmental Science,
Journal Year:
2023,
Volume and Issue:
11
Published: Feb. 16, 2023
Based
on
panel
data
of
282
cities
in
China
from
2005
to
2019,
this
paper
constructs
an
economic
resilience
evaluation
index
system
three
dimensions
and
applies
the
entropy
value
method
measure
it.
The
two-stage
nested
Thiel
index,
kernel
density
estimation
geographic
detector
methods
are
also
used
explore
characteristics
their
spatial
temporal
divergence
driving
factors.
We
find
that
Chinese
has
increased
rapidly
over
sample
period,
but
with
significant
variation,
intra-provincial
variation
being
main
source
overall
variation.
Without
considering
conditions,
a
strong
stability.
In
case
factors
have
impact
low
resilience,
not
high
resilience.
Differences
technological
innovation
capabilities
key
driver
cities.
interaction
any
two
enhances
respective
effects
differentiation
above
findings,
should
actively
targeted
differentiated
ways
improve
based
comparative
advantages,
accelerate
construction
collaborative
improvement
mechanism
for
urban
support
China.
Our
findings
provide
useful
reference
promoting
concerted
