Sustainability,
Journal Year:
2024,
Volume and Issue:
16(13), P. 5681 - 5681
Published: July 3, 2024
Reducing
embodied
carbon
emissions
in
the
construction
sector
is
pivotal
for
achieving
sustainable
development
goals,
mainly
those
related
to
health
and
well-being,
cities
communities,
climate
action.
Hence,
it
crucial
delve
into
trends
influencing
factors
of
construction-embodied
carbon,
especially
countries
like
China,
where
extensive
projects
are
underway.
Previous
studies
have
investigated
at
both
national
regional
levels,
whereas
research
specific
Northeast
China
remains
limited.
This
study
assessed
from
2005
2021.
The
results
indicated
that
initially
rose
before
declining,
peaking
278.9
MtCO2e
2012.
Based
on
Logistic
Mean
Divided
Index
(LMDI)
approach,
variations
were
decomposed
seven
driving
factors,
including
emission
source
structure,
intensity,
mechanization,
machinery
requirement,
industrial
economic
development,
population
scale.
While
mechanization
identified
as
primary
drivers
changes
intensity
scale
exerted
inhibiting
effects
rise.
Moreover,
potential
strategies
mitigating
delineated,
underscoring
regionality
across
different
provinces.
suggestions
can
help
foster
a
low-carbon
industry
provincial
perspective.
Atmosphere,
Journal Year:
2025,
Volume and Issue:
16(1), P. 80 - 80
Published: Jan. 14, 2025
Cities
are
of
wide
concern
to
scholars
due
their
major
share
global
carbon
emissions.
Energy-related
emissions
differ
significantly
among
cities,
especially
megacities,
regional
heterogeneity
in
socioeconomic
conditions.
To
analyze
the
differences
influencing
factors
on
within
and
further
target
emission
reductions,
measures
were
developed.
Beijing
was
selected
investigate
factor
core
zones,
developing
zones
ecological
using
STIRPAT
model
county
level.
The
results
show
following:
(1)
Regional
existed
changes
from
2010
2022.
grew
steadily
demonstrated
as
a
part
Beijing.
(2)
There
variations
Population
size
driving
while
driven
primarily
by
GDP
per
capita.
Notably,
urbanization
promoted
increase
but
had
negative
influence
zones.
energy
intensity
primary
force
three
(3)
population,
economic
scale,
industrial
structure
technological
level
lead
should
formulate
targeted
reduction
based
functional
positioning.
