Analysis
of
land
use
sustainability
(LUS)
coupling
socioeconomic
and
ecological
systems
has
drawn
the
interest
researchers
decision-makers
concerned
with
sustainable
development.
Exploring
relationships
between
can
offer
a
coordinated
route
for
localized
effective
governance
strategies.
We
proposed
new
theoretical
framework
LUS
considering
development
socioeconomy
ecology.
applied
it
further
to
Xiongan
New
Area,
typical
region
government-led
construction
in
eastern
China,
explore
depth
coordination
relationship
among
their
driving
factors.
Results
revealed
that:
(1)
grew
while
declined
most
areas
Area
during
2010–2020
at
township
level,
(2)
showed
trend
development,
but
generally,
was
still
only
primary
moderate
shift
from
prominent
lag
lag,
(3)
economic
factors
are
critical
systems,
influence
is
also
increasing,
(4)
four
types
were
identified
towns:
developed,
undeveloped,
tradeoff
undeveloped.
Policymakers
better
appreciate
importance
government
interventions
future
planning
terms
help
zoning
optimization
governance.
Ecological Indicators,
Год журнала:
2024,
Номер
160, С. 111824 - 111824
Опубликована: Март 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."
Ecological Indicators,
Год журнала:
2023,
Номер
151, С. 110331 - 110331
Опубликована: Май 12, 2023
Increasing
urban
land
use
eco-efficiency
(ULUEE)
is
conducive
to
alleviating
the
human-land
conflict
in
cities,
especially
densely
populated
and
ecologically
sensitive
areas.
ULUEE
research
past
has
been
less
focused
on
different
river
basins
from
a
comparative
perspective,
largely
ignored
regional
heterogeneity
driving
factors.
Thus,
this
study
aims
compare
spatiotemporal
dynamics
factors
of
Yangtze
River
Economic
Belt
(YREB)
Yellow
Basin
(YRB)
China.
The
was
first
evaluated
using
Slack
Based
Model-Undesirable,
then
Theil
Index
spatial
Markov
Chain
were
used
reveal
differential
changes
shifting
direction
ULUEE,
followed
by
an
analysis
segments
sized
cities
Tobit
model.
Results
show
that:
(1)
both
YREB
YRB,
shows
characteristic
"lower
reaches
>
middle
upper
reaches",
however,
notable
differences
index
values
are
evident
among
basin
segments.
(2)
exhibits
spillovers
convergence
phenomena
during
its
variations.
(3)
There
significant
U-shaped
relationship
between
GDP
whole
YREB,
but
only
lower
YRB.
Additionally,
form
environmental
regulations
have
heterogeneous
impacts
different-sized
cities.
In
order
maintain
sustainability
resource
management
coordinate
city
development
varying
sizes,
governments
must
take
systematic
approach
that
accounts
for
complexity
characteristics
drivers
ULUEE.
Land,
Год журнала:
2023,
Номер
12(3), С. 701 - 701
Опубликована: Март 17, 2023
The
improvement
of
urban
land
green
use
efficiency
is
significant
in
promoting
sustainable
development.
As
an
important
place-based
policy
China,
the
pilot
free-trade
zone
establishment
has
exerted
a
profound
impact
on
economy
and
society.
Meanwhile,
issue
whether
can
improve
or
not
missing
from
prior
literature,
which
concern
this
study.
Specifically,
based
super-efficiency
slacks-based
measure
model,
we
first
279
cities
China
2011
to
2019
then
multi-period
difference-in-differences
method
investigate
causal
effect
efficiency.
results
show
that
significantly
improved
efficiency,
especially
eastern
cities,
coastal
with
high
economic
development
level.
Further,
there
exists
spatial
spillover
This
study
implications
for
optimal
allocation
deployment
policies,
serving
structural
upgrading
carbon
neutrality
vision.
Ecological Indicators,
Год журнала:
2024,
Номер
159, С. 111602 - 111602
Опубликована: Янв. 25, 2024
Due
to
high
pollution
and
low
eco-efficiency
of
urban
land
use,
the
sustainable
development
economy
ecology
is
restricted.
Environmental
regulation
(EnR)
essential
for
government
guide
eco-efficient
use
resources,
solve
environmental
problems,
promote
ecological
civilization
construction.
Utilizing
a
dataset
comprising
266
cities
in
China
from
2011
2021,
this
paper
studies
intermediary
effect
green
technology
innovation
(GTI)
industrial
structure
optimization
(ISO)
EnR
affecting
(ULUEE).
The
results
show
that:
(1)
significantly
promotes
improvement
ULUE,
reaching
0.354;
(2)
also
GTI
ISO
0.653
0.189,
respectively;
(3)
From
mediating
effect,
are
variables
that
affect
level
ULUEE.
affects
ULUEE
through
ISO.
perspective
path
coefficient
chain
influence
path①
(EnR
→
ULUEE)
0.107,
path②
0.111,
path③
ULUEE))
0.043;
(4)
There
an
inverted
U-shaped
relationship
between
effects
on
ULUEE;
(5)
In
heterogeneity
analysis,
more
evident,
but
impact
less
pronounced
eastern
large
scale.
Ecological Indicators,
Год журнала:
2024,
Номер
162, С. 112025 - 112025
Опубликована: Апрель 16, 2024
This
study
focuses
on
improving
environmental
protection
and
facilitating
coordinated
economic
social
development
in
the
Yangtze
River
Economic
Belt
(YREB).
Examining
progress
of
green
11
provinces
cities
within
YREB.
The
Super
SBM
model
GML
index
were
utilized
to
assess
efficiency
these
regions
from
2008
2021.
Additionally,
spatial
distribution,
evolutionary
trends,
determinants
explored
through
hot
cold
spot
analysis,
kernel
density
estimation,
random
forest
RF
method,
Tobit
model.Findings
indicate
that
overall
is
relatively
notable,
with
upstream
downstream
areas
exhibiting
higher
compared
midstream
regions.
Shanghai
Zhejiang
have
emerged
as
frontrunners
development.
Analysis
spots
revealed
are
predominantly
located
Delta,
while
sub-cold
extend
upstream,
forming
concentrated
contiguous
reaches.
Kernel
densities
show
more
efficient
particular
areas.
In
contrast,
witnessed
a
decline
this
efficiency.
Regarding
influencing
factors,
ecological
identified
direct
influence
Furthermore,
degrees
advancement,
governmental
support,
investment
pioneering
science
technology
exert
substantial
development..
