Land,
Journal Year:
2024,
Volume and Issue:
13(4), P. 404 - 404
Published: March 22, 2024
The
development
and
application
of
urban
digital
infrastructure
can
alter
land
use
patterns
facilitate
the
aggregation
factors
such
as
labor
capital,
thereby
influencing
efficiency
in
cities.
Based
on
statistical
data
from
279
cities
China
spanning
2004
to
2019,
this
study
employs
fixed-effects
mediation
models
analyze
impact
efficiency.
findings
reveal
that
construction
significantly
promotes
enhancement
efficiency,
with
technological
innovation
levels
industrial
structural
transformation
serving
mediators
between
exhibits
heterogeneity
across
different
city
scales,
tiers,
geographic
locations,
policy
implementation
batches.
Its
effects
are
more
pronounced
larger-scale
cities,
higher-tier
those
located
central
western
regions,
first
two
batches
pilot
research
contribute
providing
theoretical
references
a
decision-making
basis
for
enhancing
advocating
increased
investment
construction,
encouraging
levels,
facilitating
upgrading
transformation.
Land Degradation and Development,
Journal Year:
2023,
Volume and Issue:
34(15), P. 4635 - 4648
Published: July 4, 2023
Abstract
The
sustainable
development
goals
regard
improving
agricultural
production
efficiency
(APE)
as
the
main
method
to
solve
food
security
problems.
Based
on
geographical
cognition,
combined
with
functional
positioning,
we
used
meta
semi‐parametric
linear
programming
and
spatial
convergence
models
analyze
spatiotemporal
characteristics
of
APE
in
Yangtze
River
Economic
Belt
from
2000
2020.
results
show
that
(1)
under
framework
metafrontier
analysis,
increases
while
maintaining
an
olive‐shaped
stable
structure
“sharp
at
both
ends
wide
middle”;
(2)
efficiencies
areas
middle
reaches
has
obviously
declined
compared
non‐agricultural
areas;
(3)
non‐spatial
factors
jointly
drive
convergence.
research
can
provide
references
for
clarifying
evolution
law
regional
agriculture
formulating
differentiation
macro
policies.
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: Feb. 16, 2023
The
rational
use
of
land
is
an
important
guarantee
for
the
sustainable
development
resource-based
cities.
First,
this
paper
uses
panel
data
115
cities
in
China
from
2004
to
2018
measure
green
efficiency
(GLUE)
by
SBM
model
and
Metafrontier-Malmquist
productivity
index
model.
Secondly,
it
analyzes
industrial
upgrading
perspectives
optimization
structure
rationalization
explore
impact
mechanism
on
GLUE.
Furtherly,
heterogeneity
analysis
carried
out
following
two
perspectives:
exploring
GLUE
under
different
types
urban
samples;
using
quantile
analyze
quantiles.
main
conclusions
study
are
as
follows:
(1)
both
promote
improvement
robustness
test
instrumental
variable
method
support
conclusion.
(2)
For
cities,
have
positive
coefficients
regeneration
growing
declining
but
a
negative
effect
mature
(3)
In
all
quantiles,
effects
positive.
However,
with
increase
role
gradually
decreases.
increases.
Meanwhile,
there
obvious
threshold
when
taking
resource
endowment
variable.
This
provides
theoretical
reference
transformation
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
160, P. 111824 - 111824
Published: March 1, 2024
Urban
land
green
use
efficiency
(ULGUE)
is
one
of
the
important
indicators
growth,
making
limited
resources
exert
optimal
benefits
and
minimize
environmental
pollution,
enabling
development
cities.
This
survey
measures
ULGUE
284
Chinese
cities
at
prefecture
level
above
using
Super-SBM
model,
built
around
panel
data
from
2004
to
2021.
The
geographic
temporal
evolution
features
are
studied
ArcGIS
exploratory
spatio-temporal
analysis
(ESTDA).
elements
influencing
assessed
a
spatial
econometric
model.
It
found
that:
(1)
fluctuates
rises
with
time
but
has
still
not
achieved
validity
in
general;
regionally,
west
>
east
central,
an
overall
roughly
decreasing
trend
perimeter
center;
provincially,
Beijing,
Tianjin,
Shanghai,
Hainan
basically
achieve
validity.
(2)
Each
city's
enthusiastic
association.
number
dynamic
local
structures
increases,
strong
dependence
regional
synergy
be
further
strengthened.
leap
matrix
indicates
that
most
have
undergone
transformation
cohesion.
(3)
Spatial
modeling
results
highlight
assisted
by
urbanization,
industrial
structure,
regulation,
economic
development,
while
it
hampered
population
density,
scientific
technical
input,
financial
development.
may
optimized
through
bolstering
urban
collaboration,
refining
system,
developing
utilizing
orderly
manner,
adjusting
constructing
system
"government,
industry,
academia,
research,
application."
Land,
Journal Year:
2025,
Volume and Issue:
14(2), P. 354 - 354
Published: Feb. 8, 2025
Taking
Inner
Mongolia
as
a
case,
this
study
systematically
analyzes
the
coupling
and
coordination
relationship
between
carbon
emissions
from
land
use
(CELU)
high-quality
economic
development
(HQED).
The
aim
is
to
provide
empirical
support
policy
inspiration
for
archiving
“dual
carbon”
goal
HQED
strategy
in
border
areas.
Panel
data
12
cities
2000
2020
were
selected.
We
established
an
evaluation
index
system
CELU
using
entropy-weight
TOPSIS
method
scientifically
evaluated
level
of
HQED.
applied
exploratory
spatial
analysis,
topic
decoupling,
degree
(CCD),
geographic
detector
models
comprehensively
analyze
status
heterogeneity
driving
factors
affecting
CCD
explored
detail.
Although
total
has
increased,
its
growth
rate
slowed
significantly.
was
low,
obvious
disequilibrium
observed.
Seven
key
factors,
including
land-use
structure,
efficiency,
energy
intensity,
have
significant
effects
on
CCD.
To
supply-side
structural
reform,
promote
HQED,
achieve
emission
reduction
green
goals,
we
offer
series
recommendations:
transformation
resource-based
cities,
optimize
industrial
structure
upgrading,
strengthen
scientific
technological
innovation
technology
applications,
improve
regional
cooperation
coordination.
This
reveals
internal
provides
practical
instructive
countermeasures
suggestions
sustainable
areas,
such
Mongolia,
which
important
reference
value
promoting
economies
achieving
goal.
Ecological Indicators,
Journal Year:
2022,
Volume and Issue:
145, P. 109601 - 109601
Published: Nov. 1, 2022
Currently,
China
will
promote
county
towns'
urbanization,
and
few
studies
have
analyzed
spatial
effects
of
urban
land-use
intensity
on
CO2
emissions
predicted
at
the
level
accurately.
Here,
taking
data
from
2010
to
2015
Zhejiang
Province
as
an
example,
we
effect
three
aspects
input,
density
output
by
Durbin
model
(SDM).
And
then
a
machine
learning
method
Back
Propagation
Neural
Network
(BPNN)
was
proposed
predict
for
2035
nonlinearly
under
different
promotions
intensity.
The
main
result
conclusion
showed
that:
(1)
spillover
were
negatively
related
emissions,
positive
emissions;
(2)
prediction
BPNN
that
improvement
would
not
be
effective
in
reductions
southwestern
counties
with
both
low
levels
urbanization
intensity;
(3)
It
reduction
slowing
down
growth
rate
capital
input
intensity,
especially
northeast
region
which
developed
port
economy.
Our
study
encouraged
regional
differentiated
strategy
achieve
carbon
development.
