Sustainability,
Journal Year:
2024,
Volume and Issue:
16(23), P. 10581 - 10581
Published: Dec. 3, 2024
Water
resources,
the
social
economy,
and
ecological
environment
are
interrelated
interacting
complex
systems,
relationship
among
them
affects
sustainable
development
of
a
region.
To
explore
interactive
driving
factors
between
water
environment,
Yellow
River
Golden
Triangle
region
is
taken
as
research
object
in
this
paper.
By
constructing
coupling-coordination
evaluation
index
system
system,
from
2011
to
2021
studied
using
degree
model,
influencing
identified
by
gray
relational
analysis.
The
results
show
that
2021,
comprehensive
shows
trend
steady
followed
gradual
increase.
water-resources
subsystem
restricts
coupling
system.
increased
barely
coordinated
stage
well-coordinated
2021.
economy
main
affecting
Agriculture,
Journal Year:
2025,
Volume and Issue:
15(1), P. 98 - 98
Published: Jan. 3, 2025
Water
and
land
resources
(WLR)
are
the
most
important
basic
for
social
economic
development.
The
effective
alignment
of
WLR
is
crucial
maximizing
resource
utilization
promoting
sustainable
regional
This
study
focuses
on
Western
Jilin
Province
(WJP),
China,
employing
degree
coupling
coordination
model,
spatial
autocorrelation,
center
gravity
transfer
model
to
assess
characterize
spatio-temporal
differentiation
patterns
water
matching
from
2006
2020.
Five
indicators—annual
average
temperature
(AAT),
urbanization
rate
(UR),
population
density
(PD),
reclamation
(RR),
(WRUR)—were
selected
as
influencing
factors.
A
Tobit
was
constructed
elucidate
driving
mechanisms
behind
evolution
(CCD)
in
WJP.
results
indicate
following:
(1)
From
a
temporal
perspective,
WJP
has
shown
year-on-year
increase
2020,
transitioning
moderate
imbalance
intermediate
coordination,
reflecting
trend
continuous
improvement.
(2)
Regarding
distribution,
overall
remained
relatively
stable
between
2020;
however,
direction
distribution
gradually
shifted
northeast
southwest
then
northwest
southeast.
(3)
AAT,
PD,
RR
2020
were
all
statistically
significant
at
p
<
0.01.
Notably,
positively
influences
CCD
WLR,
whereas
AAT
PD
exert
negative
impact.
In
contrast,
UR
WRUR
do
not
significantly
affect
WLR.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(5), P. 2209 - 2209
Published: March 3, 2025
Achieving
green,
low-carbon,
and
sustainable
development
in
the
Yangtze
River
Basin
is
an
important
part
of
promoting
modernization
agriculture
rural
areas.
Based
on
panel
data
19
provinces
from
2002
to
2022,
this
article
constructed
a
comprehensive
evaluation
system
for
agricultural
economy–population
development–ecological
environment
system.
By
using
entropy-weighted
TOPSIS
method
coupling
coordination
degree
model,
level
status
economy,
population
development,
ecological
were
quantitatively
analyzed.
The
results
show
following:
(1)
index
shows
fluctuating
upward
trend,
with
obvious
regional
differences,
showed
trend
gradual
improvement
west
east.
(2)
exhibits
volatile
characteristic,
initially
increasing,
then
decreasing,
subsequently
increasing
again.
Overall,
moving
toward
tighter
state.
(3)
steadily
yet
overall
not
high
remains
barely
coordinated
Accordingly,
suggestions
are
put
forward
optimize
economic
structure,
improve
quality,
adhere
protection,
accelerate
linkage
so
as
promote
growth,
protection
basin.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(8), P. 3384 - 3384
Published: April 10, 2025
The
digital
economy
(DE)
and
real
(RE)
are
dual
pillars
of
the
modern
economic
system.
deep
integration
(IDR)
has
emerged
as
a
pivotal
strategic
trend.
IDR
not
only
can
enhance
international
competitiveness
but
also
contributes
to
sustainable
development
goals.
This
work
collects
DE
RE
data
from
30
provinces
in
China
between
2012
2022.
entropy
weight
method
coupling
coordination
degree
(CCD)
model
employed
measure
level
IDR.
Furthermore,
Dagum
Gini
coefficient,
Kernel
density
estimation,
spatial
autocorrelation
model,
geographically
temporally
weighted
regression
(GTWR)
utilized
analyze
spatial–temporal
evolution
influencing
factors
CCD.
following
conclusions
drawn:
(1)
During
study
period,
CCD
shows
an
upward
trend,
value
is
relatively
low.
(2)
There
significant
differences
CCD,
inter-regional
difference
primary
cause.
(3)
regional
continuously
widening.
(4)
obvious
global
agglomeration
feature,
been
enhanced
(5)
policy
intensity,
infrastructure,
industrial
structure,
human
capital,
technological
innovation,
market
environment
have
impacts
on
obtained
findings
provide
important
theoretical
support
for
coordinated
RE.
Engineering Construction & Architectural Management,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 16, 2025
Purpose
The
deep
integration
of
the
digital
economy
and
construction
industry
is
a
crucial
pathway
for
promoting
green
transformation
high-quality
development
sector.
This
study
investigates
spatiotemporal
evolution
coupling
coordination
degree
(CCD)
between
(DE)
in
(HQDCI)
across
different
provinces
China.
It
also
identifies
key
obstacle
factors,
aiming
to
provide
theoretical
support
practical
guidance
context
economy.
Design/methodology/approach
Utilizing
panel
data
from
30
China
2013
2022,
this
constructs
comprehensive
evaluation
index
system
DE
HQDCI.
entropy
weight
TOPSIS
method
employed
measure
levels
two
systems.
further
applies
model,
Dagum
Gini
coefficient
an
model
analyze
differentiation
characteristics,
regional
disparity
sources
factors
their
CCD.
Findings
HQDCI
both
exhibit
“east-high,
west-low”
gradient.
CCD
increased
0.334
0.445
although
it
remains
at
elementary
stage.
spatial
pattern
reveals
multi-layered
structure
characterized
by
“eastern
leadership,
central
catch-up,
western
differentiation,”
with
inter-regional
contributions
exceeding
70%
particularly
pronounced
east-west
gap.
Furthermore,
core
show
heterogeneity:
primarily
constrained
shortage
IT
talent
imbalances
technology
market,
while
limited
redundant
infrastructure
mismatches
supply
demand.
Originality/value
first
integrate
within
unified
framework,
thereby
unveiling
co-evolutionary
mechanisms.
Quantifying
provides
empirical
evidence
precise
policymaking.
Moreover,
identifying
region-specific
offers
targeted
solutions
overcoming
“digital–construction”
bottleneck,
yielding
insights
that
have
reference
value
rest
world.
