Journal of Industrial Ecology,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 7, 2025
Abstract
The
urbanization
process
in
China
has
to
deal
with
numerous
unique
challenges,
such
as
rapid
urbanization,
significant
regional
disparities,
high
natural
resource
consumption,
severe
environmental
pollution,
and
difficulties
unified
governance,
all
of
which
exacerbate
the
vulnerability
China's
urban
ecosystems.
In
order
investigate
ecological
resilience
(UER)
China,
this
study
integrates
factors
into
assessment
framework
evaluate
UER
China.
Using
social
network
analysis
based
on
a
modified
gravity
model,
structure
characteristics
was
assessed
formation
mechanism
spatial
association
networks
further
explored,
aiming
identify
vulnerabilities
resilient
areas.
results
indicate:
(1)
shows
distinct
differentiation,
distribution
pattern
exhibiting
gradient
decreasing
values
from
east
west.
particular,
economically
developed
areas
eastern
coastal
regions
show
“radiation
effects”
associations,
playing
“central”
role
improving
overall
region.
(2)
is
complex,
but
density
relatively
low.
inter‐regional
connections
collaborative
efforts
enhancing
need
be
strengthened.
(3)
Economic
development
level,
innovation
capacity,
industrial
structure,
geographical
distance
disparities
energy
consumption
significantly
influenced
across
nation.
This
demonstrates
importance
strengthening
coordination
cooperation
enhance
UER,
providing
empirical
insights
for
achievement
global
sustainable
goals.
Sustainability,
Год журнала:
2024,
Номер
16(7), С. 3086 - 3086
Опубликована: Апрель 8, 2024
From
2008
to
2021,
this
study
analyzed
the
spatial
correlation
characteristics
between
provincial
transportation
carbon
emission
intensity
and
explored
ways
reduce
emissions.
This
used
modified
gravity
model,
social
network
analysis
(SNA)
method,
temporal
exponential
random
graph
model
(TERGM)
analyze
evolution
driving
mechanism
of
China’s
intensity.
found
that
have
unbalanced
characteristics.
The
revealed
Shanghai,
Beijing,
Tianjin,
Guangdong,
Fujian,
other
provinces
were
at
center
network,
with
significant
intermediary
effects.
was
divided
into
four
functional
plates:
“two-way
spillover”,
“net
benefit”,
“broker”,
spillover”.
benefit”
plate
mainly
located
in
developed
regions,
spillover”
primarily
underdeveloped
regions.
Endogenous
structural
exogenous
variables
main
factors
affecting
Agriculture,
Год журнала:
2024,
Номер
14(5), С. 683 - 683
Опубликована: Апрель 26, 2024
Against
the
backdrop
of
global
environmental
challenges
and
sustainable
development
goals,
this
paper
pioneers
application
social
network
analysis
to
study
spatial
associations
in
China’s
agricultural
green
development.
It
not
only
enhances
understanding
interconnectivity
structural
characteristics
developments,
but
also
captures
complex
dependencies
interactions
among
provinces
through
a
lens,
offering
fresh
perspective
on
regional
cooperation
competition.
The
reveals:
(1)
displays
strong
overall
connectivity
enhanced
stability,
with
trends
becoming
increasingly
interlinked
interdependent.
(2)
exhibits
clear
hierarchical
core-periphery
structure
which,
over
time,
shows
signs
diminishing,
indicating
narrowing
developmental
disparities
regions.
(3)
Significant
shifts
roles
positions
within
occur
due
relocation
industrial
focal
points
adjustments
strategies,
highlighting
complexity
dynamic
changes
(4)
association
can
be
divided
into
four
main
clusters:
Net
spillover
block,
Bidirectional
beneficial
Broker
significant
gradient
relationships
between
these
clusters,
suggesting
directional
differential
flows
exchanges
resources
information
(5)
Geographic
proximity,
economic
level,
informatization,
technological
advancement
significantly
influenced
evolution
network.
Sustainability,
Год журнала:
2025,
Номер
17(2), С. 433 - 433
Опубликована: Янв. 8, 2025
Global
climate
change
has
necessitated
a
transition
to
sustainable
development,
prompting
nations
prioritize
green
total
factor
productivity
(GTFP)
as
key
indicator
of
economic
and
environmental
efficiency.
This
study
examines
the
role
innovation
network
(GIN)
in
enhancing
urban
GTFP
within
China’s
Yangtze
River
Delta
(YRD)—a
region
pivotal
national
growth
ecological
sustainability.
Using
data
from
41
cities
spanning
2011
2020,
we
constructed
GIN
based
on
inter-city
cooperative
patents
analyzed
positions
using
social
analysis
(SNA).
Urban
was
assessed
through
Super-SBM
model,
two-way
fixed-effects
panel
models,
along
with
threshold
effect
were
applied
evaluate
impacts
GTFP.
The
findings
reveal
that
stronger
significantly
enhance
GTFP,
finance
further
amplifying
this
effect.
These
results
provide
actionable
insights
for
policymakers
developing
countries,
highlighting
importance
integrated
strategies
enhanced
financial
systems
promote
development.
Journal of Industrial Ecology,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 7, 2025
Abstract
The
urbanization
process
in
China
has
to
deal
with
numerous
unique
challenges,
such
as
rapid
urbanization,
significant
regional
disparities,
high
natural
resource
consumption,
severe
environmental
pollution,
and
difficulties
unified
governance,
all
of
which
exacerbate
the
vulnerability
China's
urban
ecosystems.
In
order
investigate
ecological
resilience
(UER)
China,
this
study
integrates
factors
into
assessment
framework
evaluate
UER
China.
Using
social
network
analysis
based
on
a
modified
gravity
model,
structure
characteristics
was
assessed
formation
mechanism
spatial
association
networks
further
explored,
aiming
identify
vulnerabilities
resilient
areas.
results
indicate:
(1)
shows
distinct
differentiation,
distribution
pattern
exhibiting
gradient
decreasing
values
from
east
west.
particular,
economically
developed
areas
eastern
coastal
regions
show
“radiation
effects”
associations,
playing
“central”
role
improving
overall
region.
(2)
is
complex,
but
density
relatively
low.
inter‐regional
connections
collaborative
efforts
enhancing
need
be
strengthened.
(3)
Economic
development
level,
innovation
capacity,
industrial
structure,
geographical
distance
disparities
energy
consumption
significantly
influenced
across
nation.
This
demonstrates
importance
strengthening
coordination
cooperation
enhance
UER,
providing
empirical
insights
for
achievement
global
sustainable
goals.
