Frontiers in Environmental Science,
Journal Year:
2024,
Volume and Issue:
12
Published: Dec. 16, 2024
Rural
revitalization
(R),
new-type
urbanization
(U)
and
the
ecological
environment
(E)
are
a
unity
of
complementary
advantages
mutual
promotion
coexistence,
coupling
coordination
three
is
key
to
realizing
Chinese
modernization
harmonious
coexistence
human
beings
nature.
Based
on
China’s
provincial
panel
data
from
2011
2022,
this
paper
constructed
comprehensive
evaluation
index
for
R-U-E
system,
using
entropy
method,
coupled
model,
Dagum’s
Gini
coefficient,
kernel
density
estimation,
spatial
correlation
analysis,
Durbin
model
explore
level
development,
spatial-temporal
evolutionary
characteristics
coordination,
regional
differences
effects
systems.
The
following
results
were
observed:
(1)
rural
revitalizationand
exhibits
growing
trend
significant
differences,
with
East
China
outperforming
other
regions,
but
average
value
below
0.5
needs
be
further
improved.
smoother
growth
trend,
higher
in
South
than
regions.
(2)
has
increased
year
year,
barely
coordinated
primary
coordination.
(3)
imbalance
improved
both
nationally
seven
largest
intra-regional
smallest
Central
China.
between
Northeast
regions
exhibit
widening
while
all
decreasing
trend.
Interregional
variations
main
factor
affecting
overall
variance,
their
impact
variance
gradually
diminishing.
(4)
obvious
correlation,
“high-high”
“low-low”
cluster
aggregation
was
evident.
(5)
Government
behavior
levels
economic
growth,
capital,
digitization
significantly
contribute
development
region
and,
at
same
time,
have
spillover
effect
neighboring
provinces;
degree
openness
outside
world
contributed
region,
it
had
an
inhibitory
drive
innovate
only
certain
contributing
Targeted
policy
measures
response
paper’s
empirical
findings
may
provide
policymakers
reference
point
achieving
sustainable
goals.
Humanities and Social Sciences Communications,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Nov. 12, 2024
Based
on
the
annual
reports
and
input–output
table
data
of
Chinese
listed
companies
from
2008
to
2020,
this
paper
measures
level
digital
transformation
enterprises
by
using
keyword
word
frequency
index
in
reveals
impact
mechanism
industry
chain
elasticity
a
panel
model.
Additionally,
it
provides
theoretical
explanation
how
revolution
businesses
affects
industrial
resilience.
The
outcome
shows
that
improving
resilience
can
be
facilitated
undergoing
transition.
Moreover,
factor
mismatch
reduced
corporate
transformation,
which
enhances
Furthermore,
beneficial
effects
will
enhanced
politically
linked
businesses.
main
conclusions
contribute
our
understanding
relationship
between
enterprises'
transformation.
It
also
offers
crucial
policy
recommendations
guidance
government
use
create
sensible
economy
policies
successfully
direct
businesses'
transformations
order
strengthen
Frontiers in Environmental Science,
Journal Year:
2024,
Volume and Issue:
12
Published: Dec. 16, 2024
Rural
revitalization
(R),
new-type
urbanization
(U)
and
the
ecological
environment
(E)
are
a
unity
of
complementary
advantages
mutual
promotion
coexistence,
coupling
coordination
three
is
key
to
realizing
Chinese
modernization
harmonious
coexistence
human
beings
nature.
Based
on
China’s
provincial
panel
data
from
2011
2022,
this
paper
constructed
comprehensive
evaluation
index
for
R-U-E
system,
using
entropy
method,
coupled
model,
Dagum’s
Gini
coefficient,
kernel
density
estimation,
spatial
correlation
analysis,
Durbin
model
explore
level
development,
spatial-temporal
evolutionary
characteristics
coordination,
regional
differences
effects
systems.
The
following
results
were
observed:
(1)
rural
revitalizationand
exhibits
growing
trend
significant
differences,
with
East
China
outperforming
other
regions,
but
average
value
below
0.5
needs
be
further
improved.
smoother
growth
trend,
higher
in
South
than
regions.
(2)
has
increased
year
year,
barely
coordinated
primary
coordination.
(3)
imbalance
improved
both
nationally
seven
largest
intra-regional
smallest
Central
China.
between
Northeast
regions
exhibit
widening
while
all
decreasing
trend.
Interregional
variations
main
factor
affecting
overall
variance,
their
impact
variance
gradually
diminishing.
(4)
obvious
correlation,
“high-high”
“low-low”
cluster
aggregation
was
evident.
(5)
Government
behavior
levels
economic
growth,
capital,
digitization
significantly
contribute
development
region
and,
at
same
time,
have
spillover
effect
neighboring
provinces;
degree
openness
outside
world
contributed
region,
it
had
an
inhibitory
drive
innovate
only
certain
contributing
Targeted
policy
measures
response
paper’s
empirical
findings
may
provide
policymakers
reference
point
achieving
sustainable
goals.
