Sustainability,
Год журнала:
2024,
Номер
16(10), С. 4233 - 4233
Опубликована: Май 17, 2024
Analyzing
the
driving
factors
and
mechanisms
of
urban
carbon
emission
correlation
networks
can
provide
effective
reduction
decision-making
support
for
Shandong
Province
other
regions
with
similar
industrial
characteristics.
Based
on
data
from
various
cities
in
2013
to
2021,
spatial
network
was
established
by
using
a
modified
gravity
model.
The
characteristics
were
explored
Social
Network
Analysis
(SNA)
method,
significant
affecting
identified
through
Quadratic
Assignment
Procedure
(QAP)
analysis
motif
analysis.
mechanism
analyzed
Temporal
Exponential
Random
Graph
Models
(TERGMs).
results
show
that:
(1)
exhibits
multi-threaded
complex
correlations
relatively
stable
structure,
overcoming
geographical
distance
limitations.
(2)
Qingdao,
Jinan,
Rizhao
have
high
degree
centrality,
betweenness
closeness
centrality
network,
Qingdao
Jinan
being
central.
(3)
be
spatially
clustered
into
four
regions,
each
distinct
roles,
displaying
certain
“neighboring
clustering”
phenomenon.
(4)
Endogenous
structures
such
as
Mutual,
Ctriple,
Gwesp
significantly
impact
formation
evolution
while
Twopath
does
not
expected
impact;
FDI
promote
generation
reception
relationships
network;
IR
spillover
GS,
differences
GDP,
EI,
similarities
organic
within
temporal
level,
has
shown
stability
during
study
period.
Journal of Environmental Management,
Год журнала:
2023,
Номер
343, С. 118239 - 118239
Опубликована: Май 26, 2023
Globalization
and
the
configuration
of
production
processes
around
Global
Value
Chains
(GVCs)
have
become
key
factors
for
explaining
recent
evolution
environmental
economic
indicators.
Indeed,
previous
research
found
evidence
on
significant
impact
GVCs
indicators
(participation
position)
CO2
emissions.
Additionally,
results
obtained
in
literature
vary
depending
time
period
geographical
areas
considered.
In
this
context,
main
aims
paper
are
to
analyze
role
emissions,
identify
possible
structural
breaks.
This
study
uses
Multiregional
Input-Output
framework
calculate
a
position
indicator
two
different
measures
participation
(interpreted
either
as
trade
openness
or
international
competitiveness).
The
analysis
useS
Inter-Country
tables
(ICIO)
database,
which
includes
66
countries
45
industries
covers
1995-2018.
It
is
first
concluded
that
upstream
positions
associated
lower
global
effect
depends
measure
used:
linked
while
higher
competitiveness
leads
Finally,
breaks
identified
2002
2008,
revealing
subperiods,
becomes
from
onwards.
Thus,
policies
mitigate
emissions
might
be
before
after
2008:
currently,
reductions
can
achieved
by
increasing
value-added
embodied
decreasing
volume
transactions.
