Frontiers in Environmental Science,
Journal Year:
2024,
Volume and Issue:
12
Published: Dec. 10, 2024
The
industrial
economy
occupies
a
crucial
position
in
China’s
national
economy,
and
eco-efficiency
(IEE)
as
significant
indicator
of
regional
green
development
levels.
Balancing
the
positive
interaction
between
resource
environment,
enhancing
ecological
efficiency
are
vital
for
achieving
sustainable
economic
development.
This
study
measures
IEE
115
cities
coastal
China
based
on
panel
data
resources
environment
factors.
Subsequently,
it
further
analyzes
influencing
mechanisms
future
trends
IEE.
results
indicate
that
overall
is
an
upward
trend,
with
higher
values
provinces
regions
characterized
by
faster
better
environmental
conditions.
Significant
changes
spatial
patterns
observed,
gaps
narrowing
“multi-core”
model
emerging.
Factors
such
per
capita
GDP,
ratio
pollution
control
investment
to
innovation
index,
proportion
foreign
direct
labor
productivity
significantly
positively
influence
In
contrast,
added
value
urbanization
rate,
number
enterprises
exhibit
notable
negative
inhibitory
effects.
Moreover,
effect
industrialization
level
other
factors
most
significant.
future,
expected
continue
improving,
although
sustainability
these
appears
weak.
These
findings
reveal
potential
impact
consumption
caused
activities
benefit
output.
provides
scientific
basis
optimizing
energy
layout,
comprehensive
utilization
resources,
improving
compensation
protection
mechanisms.
Humanities and Social Sciences Communications,
Journal Year:
2025,
Volume and Issue:
12(1)
Published: Jan. 3, 2025
Abstract
Marine
fisheries
constitute
a
crucial
component
of
global
green
development,
where
artificial
intelligence
(AI)
plays
an
essential
role
in
enhancing
economic
efficiency
associated
with
marine
fisheries.
This
study
utilizes
panel
data
from
11
coastal
provinces
and
municipalities
China
2009
to
2020,
employing
the
entropy
method
super-efficiency
EBM
model
calculate
AI
index
Based
on
these
calculations,
we
utilize
fixed
effects
models,
moderation
effect
threshold
models
examine
impact
The
reveals
that:
(i)
From
has
significantly
improved
overall,
while
shown
fluctuating
trend,
substantial
regional
disparities.
(ii)
enhances
(iii)
Green
finance,
trade
openness,
R&D
investment
act
as
moderating
variables,
accelerating
development
further
improving
(iv)
varies
across
different
intervals
investment.
These
findings
are
for
understanding
advancing
informatization
strategy
hold
significant
implications
sustainable
Sustainable Development,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 18, 2024
Abstract
Improving
urban
metabolic
efficiency
is
crucial
for
sustainable
development.
This
paper
examines
how
green
finance
affects
and
its
underlying
mechanisms
using
city‐level
data
from
China
between
2010
2022.
Additionally,
the
non‐linear
impact
of
on
analyzed
a
PLFC
model.
The
research
findings
indicate
that
notably
improves
via
constraint
effect,
incentive
innovation
compensation
effect.
conclusion
remains
valid
after
conducting
robustness
tests.
analysis
indicates
effect
outweighs
Heterogeneity
analyses
demonstrate
varies
depending
regions,
city
sizes,
attributes.
Furthermore,
further
investigation
demonstrates
exhibits
efficiency,
with
education
level
robotics
application
serving
as
significant
moderating
factors.
offers
fresh
insights
into
correlation
along
valuable
references
crafting
more
targeted
policies.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(5), P. 2299 - 2299
Published: March 6, 2025
Improving
the
green
efficiency
of
urban
land
use
(GEULU)
is
essential
for
optimizing
resource
utilization
while
minimizing
waste
and
pollution,
making
it
a
critical
factor
influencing
sustainability
development.
However,
spatiotemporal
heterogeneity
impact
China’s
New-Style
Urbanization
(NU)
policy
on
GEULU,
particularly
at
agglomeration
scale,
remains
understudied.
This
study
employed
super
SBM-DDF-GML
model
spatial
data
analysis
to
examine
characteristics
dynamics
GEULU
its
interactions
with
varying
implementations
NU
regional,
agglomeration,
city
levels.
The
results
show
that
followed
“U-shaped”
tendency
from
2006
2020.
Cities
in
western
China
exhibit
higher
levels
but
slower
growth,
compared
lower
absolute
faster
development
rates
amongst
eastern
cities.
displays
significant
positive
autocorrelation,
“high-high
clusters”
shifting
west
east
“low-low
moving
opposite
direction.
divergent:
central
regions
negative
areas.
Economic
urbanization,
population
clustering
research
education
facilitate
efficiency,
sprawl
significantly
hinders
improvement.
Social
urbanization
digitalization
exert
adverse
effects
across
many
Ecological
environmental
protections
promote
southwestern
cities
obstruct
northeastern
effect
has
diminished
over
time,
have
grown
stronger.
These
findings
provide
insightful
information
planners
politicians
crafting
region-contextualized
adaptive
strategies
enhance
sustainable
efficient
China.
