Sustainability,
Journal Year:
2024,
Volume and Issue:
16(23), P. 10472 - 10472
Published: Nov. 29, 2024
The
imbalance
in
the
development
of
digital
economy
hinders
effective
formation
economies
scale
and
synergies,
thereby
constraining
high-quality
growth
China’s
overall
economy.
This
study
employs
panel
data
from
31
Chinese
provinces
spanning
2013
to
2021,
using
exploratory
spatial
analysis
(ESDA)
Geodetector
investigate
differentiation
characteristics
driving
factors
findings
reveal
a
gradient
pattern
development,
decreasing
east
central,
west,
northeast
China,
with
high-value
clusters
concentrated
spatially
locked
eastern
region.
Analysis
gravity
center
standard
deviation
ellipse
indicates
distribution
dynamic
“longitudinal
clustering
lateral
expansion”,
significant
“westward
migration”
center.
Spatial
disparities
are
driven
by
both
inter-regional
intra-regional
differences,
discrepancies
between
region
other
three
regions
being
primary
source
variation.
identifies
human
capital,
foreign
direct
investment,
R&D
expenditure
as
main
contributing
spatial-temporal
Last,
offers
policy
recommendations
regarding
infrastructure,
resource
allocation,
institutional
mechanisms
promote
balanced
China.
Frontiers in Public Health,
Journal Year:
2025,
Volume and Issue:
13
Published: May 7, 2025
Introduction
The
coordinated
development
of
the
digital
economy
and
essential
public
health
services
is
a
critical
issue
for
advancing
Healthy
China
initiative
promoting
equity.
However,
existing
policy
frameworks
exhibit
significant
shortcomings
in
design
cross-system
collaborative
governance
tools
regional
adaptability,
thereby
constraining
implementation
effectiveness
“digital
health”
strategy.
Methods
This
study
constructs
an
evaluation
index
system
based
on
panel
data
from
30
Chinese
provinces
2012
to
2021.
By
employing
coupling
coordination
model
dynamic
fuzzy-set
qualitative
comparative
analysis
(fsQCA),
this
systematically
reveals
interaction
mechanisms
optimization
pathways
between
two
systems.
Results
key
findings
are
as
follows:
(1)
Temporal
Trends:
degree
has
undergone
phased
transition
“on
verge
disorder”
“primary
coordination.”
overall
growth
remains
limited,
indicating
urgent
need
shift
“scale
expansion”
“quality-driven”
approach.
(2)
Spatial
Patterns:
A
distinct
disparity
observed,
characterized
by
“eastern
leading,
central
catching
up,
western
lagging
behind”
pattern.
Notably,
80%
remain
constrained
economy-induced
maladaptation.
(3)
Correlation:
exhibits
positive
spatial
clustering
characteristics.
Provinces
such
Anhui
Hubei
have
achieved
leapfrog
leveraging
technological
spillovers.
(4)
Driving
Mechanisms:
fsQCA
results
identify
three
high-coordination
configurations:
infrastructure-driven”
eastern
China,
“government–human
capital
dual-driven”
“government–institutional
environment
synergy-driven”
China.
Discussion
These
underscore
necessity
region-specific
strategies
that
align
with
local
resource
endowments
contextual
factors.
adopting
differentiated
pathways,
can
effectively
promote
economy,
ultimately
fostering
high-quality
sustainable
integration
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(23), P. 10472 - 10472
Published: Nov. 29, 2024
The
imbalance
in
the
development
of
digital
economy
hinders
effective
formation
economies
scale
and
synergies,
thereby
constraining
high-quality
growth
China’s
overall
economy.
This
study
employs
panel
data
from
31
Chinese
provinces
spanning
2013
to
2021,
using
exploratory
spatial
analysis
(ESDA)
Geodetector
investigate
differentiation
characteristics
driving
factors
findings
reveal
a
gradient
pattern
development,
decreasing
east
central,
west,
northeast
China,
with
high-value
clusters
concentrated
spatially
locked
eastern
region.
Analysis
gravity
center
standard
deviation
ellipse
indicates
distribution
dynamic
“longitudinal
clustering
lateral
expansion”,
significant
“westward
migration”
center.
Spatial
disparities
are
driven
by
both
inter-regional
intra-regional
differences,
discrepancies
between
region
other
three
regions
being
primary
source
variation.
identifies
human
capital,
foreign
direct
investment,
R&D
expenditure
as
main
contributing
spatial-temporal
Last,
offers
policy
recommendations
regarding
infrastructure,
resource
allocation,
institutional
mechanisms
promote
balanced
China.
