Frontiers in Public Health,
Год журнала:
2024,
Номер
12
Опубликована: Апрель 24, 2024
Background
Anxiety
disorders
have
emerged
as
one
of
the
most
prevalent
mental
health
problems
and
concerns.
However,
previous
research
has
paid
limited
attention
to
measuring
public
anxiety
from
a
broader
perspective.
Furthermore,
while
we
know
many
factors
that
influence
disorders,
still
an
incomplete
understanding
how
these
affect
anxiety.
We
aimed
quantify
perspective
Internet
searches,
analyze
its
spatiotemporal
changing
characteristics
influencing
factors.
Methods
This
study
collected
Baidu
Index
2014
2022
in
31
provinces
mainland
China
measure
degree
based
on
2022.
The
spatial
autocorrelation
analysis
method
was
used
trends
distribution
were
studied
using
statistical
modeling
methods.
Results
Empirical
shows
level
my
country
continued
rise
recent
years,
with
significant
clustering
characteristics,
especially
eastern
central-southern
regions.
In
addition,
constructed
ordinary
least
squares
(OLS)
geographically
weighted
regression
(GWR)
models
examine
relationship
between
social,
economic,
environmental
levels.
found
GWR
model
considers
correlation
dependence
is
significantly
better
than
OLS
terms
fitting
accuracy.
Factors
such
number
college
graduates,
traffic,
urbanization
rate
are
positively
correlated
Conclusion
Our
results
draw
among
policymakers,
highlighting
necessity
for
more
extensive
examination
issues,
university
by
relevant
authorities.
Ecological Indicators,
Год журнала:
2023,
Номер
154, С. 110535 - 110535
Опубликована: Июнь 29, 2023
As
a
strategy
for
building
beautiful
China,
new-type
urbanization
(NTU)
has
an
impact
on
the
regional
ecological
security
pattern.
Clarifying
coupling
coordination
relationship
between
NTU
and
ecosystem
services
(ESs)
can
help
protection
high-quality
coordinated
development.
The
methods
of
this
paper
are
as
follows.
Firstly,
integrated
Valuation
Ecosystem
Services
Tradeoffs
(InVEST)
model
is
used
to
calculate
ESs,
then
evaluate
level
from
multiple
dimensions.
On
basis,
degree
relative
development
analyze
ESs
NTU.
results
indicate
that
in
Yangtze
River
Economic
Belt
(YREB)
decreased,
2000
2020.
continues
improve,
but
spatial
imbalance
more
prominent.
significantly
negatively
correlated,
with
population,
economic,
land,
infrastructural
having
detrimental
effect
overall.
In
general,
Es
changes
intermediate
primary
coordination,
manifestation
was
"high
east
low
west"
dependence
strong.
Most
areas
show
lagging
ES
disorders.
To
achieve
orderly
breakthrough
steady-state
phase
while
adhering
law
coupled
coercive
development,
well
serve
guide
making
decisions
create
YREB
clear
skies,
lush
vegetation,
stunning
mountains,
harmony
people
land.
Ecological Indicators,
Год журнала:
2023,
Номер
155, С. 111053 - 111053
Опубликована: Окт. 10, 2023
Industrial
structure
transformation
is
important
for
realizing
Chinese
modernization,
and
ecological
civilization
necessary
building
a
beautiful
China.
How
to
use
the
construction
of
realize
industrial
major
issue
economic
development
China
other
developing
countries.
The
difference-in-differences
method
was
used
evaluate
impact
pilot
policy
(ECPP)
on
transformation.
three-stage
mediating
effect
explore
mechanism
channel.
Through
heterogeneity
discussion
spatial
spillover
analysis
method,
effects
ECPP
were
further
understood.
study
reveals
following:
Overall,
has
promoted
structure.
Specifically,
significant
positive
rationalization
but
negative
advancement.
Several
robustness
checks
support
this
finding.
Second,
channels
are
primarily
achieved
through
environmental
investment,
green
finance
infusion,
congestion
alleviation.
Third,
good
central-local
relationships
can
enhance
trend
toward
rationalization,
while
unfavorable
may
pose
hindrances
In
addition,
varies
depending
population
density
pollution.
Lastly,
promoting
rationalization.
results
above
provide
additional
information
about
ECPPs
transformation,
both
negative,
help
strategy
system
be
adjusted
promptly.
Ecological Indicators,
Год журнала:
2024,
Номер
159, С. 111748 - 111748
Опубликована: Фев. 1, 2024
Arid
regions
hold
a
prominent
position
as
global
tourist
destination.
However,
their
ecological
fragility
and
sensitivity
to
economic
social
factors
make
them
more
susceptible
various
disruptive
elements,
thereby
exacerbating
the
instability
of
tourism
socio-ecological
system.
Consequently,
there
has
been
growing
focus
on
system
resilience
(TSESR)
in
arid
regions.
This
study
developed
scientific
universally
applicable
assessment
framework
evaluate
TSESR
regions,
considering
system's
process
mechanisms
dimensions.
The
encompasses
four
key
domains:
resistance,
recovery,
adaptation,
renewal,
further
divided
into
twelve
criterion
layers.
conducted
case
14
prefecture-level
units
Xinjiang,
China,
from
2010
2020.
An
improved
TOPSIS
model,
Gini
coefficient,
Kernel
density
estimation,
Obstacle
degree
model
were
employed
investigate
levels,
spatiotemporal
variations,
obstacle
TSESR.
research
findings
indicate
that
during
period,
levels
cities
exhibited
an
overall
upward
trend
with
fluctuations.
There
are
notable
spatial
disparities,
yet
these
disparities
diminishing.
Furthermore,
such
resource
endowment,
market
potential,
foundation,
industrial
environment,
human
capital
represented
common
obstacles,
while
unique
regional
impediments
also
existed.
index
can
scientifically
comprehensively
offering
adaptive
indicators
for
It
promotes
development
resilient
system,
achieving
sustainable
development.
Ecological Indicators,
Год журнала:
2023,
Номер
154, С. 110662 - 110662
Опубликована: Июль 18, 2023
In
rapidly
urbanizing
areas,
intense
human
development
activities
and
fierce
competition
for
spatial
resources
have
led
to
apparent
territorial
space
conflicts.
This
paper
selects
Jiangsu
Province
as
the
study
area
explore
spatiotemporal
evolution
characteristics
response
relationship
between
expansion
of
county-level
construction
land
conflicts
from
1985
2020
provide
a
reference
regional
optimization.
The
results
show
that
intensity
(CEI)
at
county
level
showed
characteristic
greater
power
in
southeast
than
northwest.
mode
(SEI)
was
mainly
characterized
by
spread
type,
with
experiencing
marginal
expansion,
emergence
new
independent
points,
then
process
agglomeration
distribution.
From
2020,
there
significant
increase
an
aggregation
level.
regions
high
index
(SCII)
values
changes
(SCIIC)
were
located
Xuzhou,
Nanjing,
junction
Changzhou,
Wuxi,
Suzhou,
Zhenjiang.
There
positive
correlation
CEI
SCIIC,
units
increased
south
north.
SEI
strong
Nantong,
Wuxi.
population
density
GDP
also
affect
SCIIC.
strengthens
understanding
related
relationships
over
long
time,
which
can
decision-making
basis
regulation
optimization
Province.
