Sustainability,
Journal Year:
2023,
Volume and Issue:
15(18), P. 13655 - 13655
Published: Sept. 13, 2023
Water
pollution
exhibits
distinct
negative
externalities,
necessitating
trans-regional
collaborative
governance
among
basin
governments.
However,
few
studies
have
examined
the
structural
features
of
water
collaboration
networks
local
governments
in
China
from
a
spatial
analysis
perspective.
This
study
focuses
on
27
central
cities
Yangtze
River
Delta,
collecting
109
policy
texts
and
evidence
cooperative
actions
these
cities.
By
utilizing
combination
social
network
GIS
analysis,
research
visualizes
results
delves
into
overall
structure
internal
network.
The
indicate
that
density
cooperation
is
0.75,
suggesting
relatively
stable
closely
connected
for
has
been
formed.
Furthermore,
Delta
typical
“multi-center”
structure,
with
Shanghai–Suzhou,
Nanjing,
Hangzhou
as
core,
forming
three
city
clusters
tighter
cooperation.
Suzhou,
Shanghai,
Jiaxing
highest
degree
centrality,
which
are
51,
46,
44,
respectively.
centrality
reveals
higher
levels
economic
development
or
those
serve
provincial
capitals
often
play
leading
role
also
observes
adjacent
closer
to
core
more
likely
establish
relationships;
this
phenomenon
not
limited
by
administrative
boundaries.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
159, P. 111726 - 111726
Published: Feb. 1, 2024
To
facilitate
rational
regional
emission
targets
and
enhance
nationwide
reduction
efforts,
this
study
systematically
examines
carbon
spatial
correlations.
Using
social
network
analysis
(SNA),
we
investigated
the
China
Carbon
Emission
Spatial
Correlation
Network
(CCESCN)
from
2011
to
2020.
The
network's
structure
gradually
evolved
with
strong
stability.
associations
loosened,
correlations
reduced
over
time.
Jiangsu
Shandong
had
spillover
effects,
while
Shanghai,
Zhejiang,
Beijing,
Tianjin
received
emissions
other
regions.
Jiangsu,
Shandong,
Anhui,
Zhejiang
played
core
roles,
Guangdong,
Beijing
acted
as
intermediaries.
Different
levels
of
regions
are
interacting
more
integration
is
increasing.
Regions
were
grouped
into
four
functionally
different
blocks.
Industry
proportion
urbanization
influenced
sending
relationships,
openness,
industry
proportion,
energy
efficiency,
affected
receiving
relationships.
Geographic,
information,
transportation,
innovation
distances
also
roles
in
CCESCN
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(3), P. 1154 - 1154
Published: Jan. 31, 2025
The
relevance
of
this
research
lies
in
the
increasing
global
focus
on
sustainable
development,
growth
green
economy,
and
pursuit
national
international
goals
these
areas.
This
study
examines
role
environmental
collaboration
models
business
integration
implementing
technological
projects
to
achieve
development
aimed
at
enhancement
resource
efficiency
performance
within
companies.
Open
generate
additional
value
competitive
advantages
by
leveraging
synergistic
resources
knowledge
among
all
participants.
study’s
methodological
foundation
includes
systems
analysis
comparative
analysis.
findings
identify
key
characteristics
open
propose
recommendations
for
establishing
a
system
assess
projects.
proposed
approach
was
validated
through
application
one
largest
pulp
paper
manufacturers.
As
result
implementation
model,
profit
Syktyvkar
Forest
Industry
Complex
increased
four
times,
revenue
almost
doubled,
product
output
89%,
asset
62%.
contributes
deeper
understanding
how
industrial
impacts
regional
development.
It
also
provides
empirical
insights
policy
businesses
governments
promote
advance
technology
transfer.
International Journal of Low-Carbon Technologies,
Journal Year:
2024,
Volume and Issue:
19, P. 1633 - 1639
Published: Jan. 1, 2024
Abstract
Carbon
dioxide
(CO2)
emissions
reduction
has
emerged
as
a
paramount
priority,
aiming
to
achieve
‘peak
and
carbon
neutrality’,
wherein
green
innovation
assumes
critical
role.
The
existing
literature
extensively
examined
the
impact
of
innovations
on
emissions.
However,
there
been
comparatively
less
emphasis
nonlinear
relationship
between
technological
emission.
This
research
employs
panel
data
from
16
districts
in
Shanghai
spanning
2010
2019
investigate
primary
objective
our
is
examine
applicability
maximum
information
coefficient
method
within
an
environmental
context.
Furthermore,
analysis
indicates
that
patent
applications,
citations,
grants
exhibit
feature
importance
scores
0.55,
0.53,
0.52,
respectively,
according
random
forest
regression
results.
These
findings
offer
valuable
insights
for
policymakers
committed
achieving
neutrality
China.
Atmosphere,
Journal Year:
2024,
Volume and Issue:
15(8), P. 984 - 984
Published: Aug. 16, 2024
Accurately
identifying
the
dynamic
interaction
effects
and
network
structure
characteristics
of
air
pollution
is
essential
for
effective
collaborative
governance.
This
study
investigates
spatial
interactions
among
30
cities
in
Central
Plains
Urban
Agglomeration
using
convergent
cross
mapping.
Social
analysis
applied
to
assess
overall
node
network,
while
key
driving
factors
are
analyzed
an
exponential
random
graph
model.
The
findings
reveal
that
levels
initially
increase
before
they
decrease,
with
heavily
polluted
transitioning
from
centralized
sporadic
distribution.
Among
interactions,
Heze’s
impact
on
Kaifeng
was
strongest,
Xinxiang’s
Changzhi
weakest.
emission
receiving
peaked
during
2010–2012.
exhibit
significant
characteristics,
block
model
results
indicating
emitting
relationships
primarily
concentrated
bidirectional
spillover
plate.
Natural
such
as
temperature
precipitation
significantly
influence
network.
Economic
social
like
economic
level
industrial
sector
proportion
also
have
a
impact.
However,
population
density
does
not
contributes
understanding
pollution,
thereby
enhancing
strategies
optimizing
regional
governance
efforts
address
pollution.
