The
health
of
the
population
serves
as
a
cornerstone
for
sustainable
economic
development
and
stands
vital
indicator
national
prosperity
strength.
Based
on
theory
human
capital,
this
study
explores
practical
issues
enhancing
residents'
levels
through
synergy
social,
ecological,
medical
factors.
Utilizing
provincial
panel
data
from
China
spanning
2011
to
2020,
research
employs
entropy
methods
dynamic
Qualitative
Comparative
Analysis
(QCA)
measure
Chinese
residents.
analyzes
synergistic
roles
factors
in
improving
both
temporal
perspective
configurational
viewpoint.
No
single
factor
is
necessary
condition
achieving
high
among
However,
necessity
per
capita
expenditure
has
been
increasing
yearly,
showing
effect.
There
are
four
distinct
pathways
that
can
lead
levels,
which
be
further
categorized
into
social-ecological-medical
synergistic,
social-ecological,
social-medical
driven
configurations.
Temporally,
consistency
configurations
1
3
collectively
decreased
likely
due
outbreak
COVID-19,
temporarily
shifted
core
affecting
health.
Spatially,
there
no
significant
regional
effects
configurations,
indicating
their
explanatory
power
does
not
significantly
differ
across
provinces.
collaborative
efforts
found
enhance
residents
China.
Drawing
existing
field
public
health,
proposes
an
analytical
framework
understanding
influencing
levels.
By
integrating
capital
theory,
broadens
lens
used
examine
offering
important
theoretical
insights
policy
implications.
Sustainability,
Год журнала:
2024,
Номер
16(2), С. 813 - 813
Опубликована: Янв. 17, 2024
During
urbanization,
rural
human
settlements
experience
dual
pressures
from
both
ecology
and
culture.
Strengthening
resilience
can
enhance
the
system’s
ability
to
withstand
external
restore
equilibrium,
providing
a
new
research
perspective
practical
approach
for
sustainable
development
of
areas.
Yet,
there
are
limited
reports
in
literature
on
evaluating
improving
resilience.
To
fill
this
gap,
paper
establishes
an
evaluation
system
utilizing
DPSIR
framework
entropy
method.
It
employs
115
counties
districts
Guangdong
Province
as
samples
evaluate
settlements’
2020.
The
Geographically
Weighted
Regression
(GWR)
model
is
used
analyze
spatial
differences
influencing
mechanisms
various
factors
results
suggest
that
overall
relatively
low,
showing
concentrated
distribution
also
variations
levels
distributions
across
different
dimensions.
Moreover,
dimensions
significantly
impact
settlements.
driving
force
coefficients
all
positive,
with
higher
values
Western
Eastern
Guangdong.
pressure
negative,
decreasing
east
west.
state
show
positive
correlation,
lower
central
northern
parts
eastern
western
parts.
response
generally
Pearl
River
Delta.
This
extends
theoretical
analyzing
resilience,
offering
empirical
evidence
optimize
their
geographical
context.
Land,
Год журнала:
2025,
Номер
14(3), С. 510 - 510
Опубликована: Фев. 28, 2025
Residential
carbon
emissions
(RCEs)
have
become
a
major
contributor
to
China’s
overall
emission
growth.
A
comprehensive
analysis
of
the
evolution
characteristics
regional
disparities
in
RCEs
at
urban
level,
along
with
thorough
examination
driving
factors
behind
and
convergence,
is
crucial
for
achieving
reduction
goals
within
regions.
This
study
calculates
270
cities
China
from
2011
2019
based
on
multiregional
input–output
tables
explores
differences
spatiotemporal
using
Dagum
Gini
coefficient
decomposition
method
kernel
density
estimation.
On
this
basis,
we
examine
an
extended
Stochastic
Impacts
by
Regression
Population,
Affluence,
Technology
(STIRPAT)
econometric
model
further
analyze
convergence
introducing
β-convergence
model.
The
results
are
as
follows:
(1)
disparity
generally
shows
wave-like
declining
trend,
primary
source
being
between
city
tiers.
(2)
Kernel
estimation
that
greater
rank,
larger
disparity;
RCE
distribution
third-
lower-tier
more
concentrated.
(3)
Population
density,
population
aging,
education
level
significantly
exert
negative
influence
RCEs,
whereas
economic
development
number
researchers,
private
cars
positively
correlated
RCEs.
(4)
Each
agglomeration’s
exhibits
significant
β-convergence,
but
their
differ
across
agglomerations.
provides
targeted
policy
recommendations
achieve
its
effectively.
cluster
should
tailor
approach
strengthen
collaborative
governance,
optimize
layouts,
promote
low-carbon
lifestyles
order
facilitate
transformation.
Ecological Indicators,
Год журнала:
2023,
Номер
153, С. 110393 - 110393
Опубликована: Июнь 1, 2023
Best
management
practices
(BMPs)
have
wide
application
in
non-point
source
(NPS)
pollution
abatement
agricultural
watersheds.
Multivariate
analysis
of
BMPs
reduction
effects
taking
their
randomness
and
correlations
into
account
is
significant
to
spatial
optimization
configuration.
However,
quantifying
the
among
high-dimensional
random
variables
challenging
remains
unexplored
thoroughly.
This
study
coupled
SWAT
with
Vine
Copula
model
conduct
multivariate
considering
caused
by
hydro-meteorological
variability
along
different
indicators
(ammonium
nitrogen,
NH3-N;
total
phosphorus,
TP)
BMPs.
The
was
applied
evaluate
multi-indicator
effect
individual
BMP
combined
various
upper
Boyang
River
basin,
China.
Results
showed
that
bivariate
copulas
three-dimensional
vine
can
efficaciously
describe
dependence
effects.
Simulation
results
indicate
43–100%
probabilities
45%
NH3-N
loads
reduction,
while
0–79%
TP
for
scenarios.
Besides,
joint
scenarios
are
generally
lower
than
separate
0–21%
decrease,
which
similar
BMP.
Generally,
using
provide
more
accurate
factual
knowledge
risk
dependability
implementation
univariate
variables.
proposed
has
great
prospect
future
risk-based
decision-making
NPS
management.
