Spatial effect decomposition of new-type urbanization on green development efficiency in China: based on an improved spatial DID model
Guimei Wang,
No information about this author
Muhammad Salman
No information about this author
Environment Development and Sustainability,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 7, 2025
Language: Английский
Delineating urban agglomeration regions in China by network community scanning: Structures and policy implications
Cities,
Journal Year:
2025,
Volume and Issue:
158, P. 105721 - 105721
Published: Jan. 17, 2025
Language: Английский
Does smart city construction exacerbate capital misallocation? Spatial spillovers, digital transformation, and robotics application
Structural Change and Economic Dynamics,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 1, 2025
Language: Английский
The Spatiotemporal Evolution of Geo-Disaster Resilience in China and the Impact Mechanism of Environmental Governance
Hao Zhu,
No information about this author
Xing Zhu,
No information about this author
Yong Li
No information about this author
et al.
Atmosphere,
Journal Year:
2025,
Volume and Issue:
16(3), P. 247 - 247
Published: Feb. 21, 2025
The
increasing
frequency
of
extreme
climate
events
has
posed
severe
challenges
to
China’s
socio-economic
development
and
ecological
environment
due
geological
disasters.
Therefore,
there
is
an
urgent
need
for
effective
adaptive
strategies
enhance
geo-disaster
resilience.
Environmental
governance,
as
measure
reduce
risks
from
climates
disasters
while
promoting
high-quality
social
development,
remains
underexplored
in
terms
its
impact
on
This
study
innovatively
constructs
a
resilience
assessment
framework
that
considers
intensity,
integrating
various
statistical
methods,
including
the
Super-Efficiency
Slacks-Based
Measure
Data
Envelopment
Analysis
(SBM-DEA)
model,
spatial
Markov
chains,
methods
such
Geodetector
Geographically
Temporally
Weighted
Regression
(GTWR),
reveal
spatiotemporal
evolution
China
2007
2022,
also
analyzing
mechanisms
through
which
environmental
governance
influences
variations.
findings
indicate
exhibits
unstable
growth
with
significant
regional
disparities.
Spatially,
shows
notable
spillover
effects
tendency
toward
convergence
within
similar
regions.
unevenly
enhances
over
time
space:
soil
water
conservation
afforestation
are
generally
measures,
contributions
replenishment,
facility
management
personnel,
fiscal
expenditure,
nature
reserve
protection
vary
by
region.
research
offers
key
insights
into
improving
optimizing
disaster
response
capacity
sustainable
development.
Language: Английский
Does Multidimensional Urbanization Help Reduce Environmental Pollution?—Evidence from Three Major Urban Agglomerations in the Yangtze River Economic Belt
Lijie Wei,
No information about this author
Yu Cheng,
No information about this author
Zhibao Wang
No information about this author
et al.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(3), P. 1202 - 1202
Published: Feb. 2, 2025
China’s
rapid
urbanization
has
spurred
economic
growth
and
posed
environmental
challenges.
We
investigate
the
relationship
between
multidimensional
pollution
by
a
fixed
effect
model
based
on
panel
data
of
70
cities
in
three
major
urban
agglomerations
Yangtze
River
Economic
Belt
during
2005–2020.
Overall,
aggravates
then
decreases
agglomerations,
which
is
closely
related
to
control
policies.
Environmental
shows
obvious
spatial
heterogeneities
five
levels
have
been
gradually
changed
from
high-value
low-value
levels.
In
Belt,
dominated
“High–High”
“Low–Low”
clusters.
Among
them,
clusters
move
eastwards,
while
concentrate
southeastwards.
Multidimensional
helps
alleviate
regional
pollution.
Economic,
social,
land
reduces
certain
extent.
Population
non-significant
Social
improved
Chengdu–Chongqing
agglomeration
(CC)
Delta
(YRD),
increased
population
middle
reaches
(MYD)
comprehensive
CC.
Language: Английский
Exploring influencing factors of health resilience for urban buildings by integrated CHATGPT-empowered BERTopic model: A case study of Hong Kong
Tianjiao Shan,
No information about this author
Fan Zhang,
No information about this author
Albert P.C. Chan
No information about this author
et al.
Environmental Impact Assessment Review,
Journal Year:
2025,
Volume and Issue:
112, P. 107852 - 107852
Published: Feb. 8, 2025
Language: Английский
Non-locality and Spillover Effects of Residential Flood Damage on Community Recovery: Insights from High-resolution Flood Claim and Mobility Data
Sustainable Cities and Society,
Journal Year:
2024,
Volume and Issue:
117, P. 105947 - 105947
Published: Oct. 30, 2024
Language: Английский
Coupling Coordination of Urban Resilience and Urban Land Use Efficiency in Hunan Province, China
Shuangfei Zhao,
No information about this author
Wei Zeng,
No information about this author
Da Hsuan Feng
No information about this author
et al.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(24), P. 10860 - 10860
Published: Dec. 11, 2024
Urban
resilience
and
urban
land
use
efficiency
are
inevitable
topics
in
planning
development,
the
coupling
coordination
between
two
will
contribute
substantially
to
sustainability.
With
panel
data
from
14
cities
Hunan
2010
2021
by
combining
entropy
method,
Super-SBM
model,
degree
this
study
analyzed
dynamic
spatial–temporal
evolution
pattern
of
utilization
their
through
a
multi-dimensional
evaluation
index
system
2021.
The
main
findings
were
as
follows:
overall,
stayed
low
over
years
study.
Temporally,
mean
increased
gradually
0.1962
0.3331,
spatially,
was
higher
eastern
region
than
western
area
province,
with
Changsha
having
highest
level
resilience.
Second,
rose
volatility
0.7162
0.9299,
northern
southern
region,
Zhangjiajie
efficiency.
Third,
province
had
high
efficiency,
average
value
0.8531,
degrees
observed
Chang–Zhu–Tan
agglomeration
province.
Fourth,
moderate
across
rising
0.5788
0.6453,
marginally
coordinated
primarily
coordinated,
where
degree.
All
state
level.
highly
state.
research
here
is
expected
provide
some
references
for
administrators
beyond
release
policies
that
achieve
stronger
resilience,
better
coordination.
Language: Английский
Analysis and Short-Term Peak Forecasting of the Driving Factors of Carbon Emissions in the Construction Industry at the Provincial Level in China
Chao Dai,
No information about this author
Yuanqiang Tan,
No information about this author
Shuangping Cao
No information about this author
et al.
Energies,
Journal Year:
2024,
Volume and Issue:
17(16), P. 4101 - 4101
Published: Aug. 18, 2024
The
construction
industry
plays
a
pivotal
role
in
China’s
achievement
of
its
“dual
carbon”
goals.
This
study
conducts
decomposition
analysis
the
carbon
emissions
from
(CECI)
at
both
national
and
provincial
levels
for
period
2010–2020
employs
ARIMA
model
to
predict
short-term
peak
trends
level.
findings
are
as
follows.
(1)
Inner
Mongolia,
Shandong,
Sichuan,
Chongqing
exhibit
an
N-shaped
trend
CECI,
while
northeast
region
shows
inverted
U-shaped
trend.
(2)
Labor
productivity
energy
intensity
identified
largest
smallest
drivers
CECI
growth,
respectively,
with
driving
force
study’s
factors
fluctuating
between
1%
60%.
(3)
Energy
significantly
contributes
growth
Tianjin
Zhejiang,
it
aids
reducing
western
provinces.
“rebound
effect”
building
efficiency
is
particularly
pronounced
provinces
strong
resource
endowments,
such
Ningxia.
(4)
Between
2021
2025,
predicted
decrease
northern
economically
developed
provinces,
expected
increase
central
Heilongjiang,
Guangdong,
Shanghai,
Shaanxi
potentially
reaching
their
peaks
within
forecast
period.
paper
concludes
several
recommendations.
Language: Английский
The Impact of Smart City Policies on City Resilience: An Evaluation of 282 Chinese Cities
Yahong Feng,
No information about this author
Jie Wang,
No information about this author
Tianlun Zhang
No information about this author
et al.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(19), P. 8669 - 8669
Published: Oct. 8, 2024
This
study
uses
four
dimensions,
namely
social
resilience,
economic
infrastructure
and
ecological
to
construct
an
index
system
for
urban
resilience.
The
subject
data
came
from
the
panel
of
282
prefecture-level
cities
in
China
2006
2020.
We
selected
a
multiperiod
double-difference
model
effects
smart
city
pilot
policies
on
macro-urban
By
conducting
parallel-trend
tests
selecting
appropriate
robustness
tests,
this
drew
following
relevant
conclusion:
can
have
positive
effect
resilience
level.
These
exert
their
influence
by
facilitating
industrial
structure
upgrading,
which
plays
partial
mediating
role.
Considering
different
area
distributions
scales,
significant
heterogeneity
enhancement
is
pronounced
“east
>
central
west”
states
more
likely
impact
small-
medium-sized
cities.
Therefore,
promoting
scope
pilots,
strengthening
intermediary
role
implementing
differentiated
regions
sizes
are
important
sustainable
development.
Language: Английский