Frontiers in Sustainable Food Systems,
Journal Year:
2024,
Volume and Issue:
8
Published: Sept. 24, 2024
Introduction
Warming
caused
by
greenhouse
gas
(GHG)
emissions
has
become
a
global
environmental
issue
of
widespread
concern,
and
China,
as
responsible
power,
the
pressing
task
reducing
carbon
emissions.
China
is
one
world’s
major
beef
producers
consumers,
at
same
time,
cattle,
large
livestock,
largest
source
GHG
in
livestock
industry.
Methods
This
study
considered
panel
data
31
provinces
from
2008
to
2022.
The
kernel
density
estimation
Dagum
Gini
coefficient
were
used
analyze
spatiotemporal
dynamic
evolution
patterns
influencing
factors
China’s
cattle
farming
Results
(1)
emission
trajectory
production
follows
distinctive
“ascend-descend-ascend”
three-phase
pattern.
By
2022,
sector’s
cumulative
had
burgeoned
37.62%
relative
2008,
reflecting
an
average
annual
escalation
2.31%.
Despite
overall
upward
trend
emissions,
significant
regional
differences
observed.
Central
Plains
region
witnessed
consistent
decline,
stark
contrast
Southwest
Northeast
regions,
which
have
emerged
hotspots
for
heightened
intensified
densities
within
landscape,
underscoring
intensifying
significance
mitigation
measures.
(2)
curve
shows
rightward
shift
with
specific
gradient
effect
on
In
addition,
range
right
drag
2022
was
significantly
reduced,
laterally
reflects
narrowing
difference
between
highest
lowest
farming.
principal
variance
disparities
accounts
contribution
rate
52.52%.
Conversely,
within-region
rates
remained
relatively
stable,
while
those
intensity
transvariation
substantial
rise,
averages
18.31
28.96%,
respectively.
(3)
Regarding
reduction,
regulations
efficiency
drive
reduction
Discussion
Relevant
government
departments
should
actively
guide
farmers
toward
green
production,
establish
perfect
policies
low-carbon
farming,
promote
models
based
local
conditions.
Buildings,
Journal Year:
2024,
Volume and Issue:
14(2), P. 550 - 550
Published: Feb. 19, 2024
Since
decoration
is
an
essential
part
of
buildings,
the
carbon
emissions
generated
by
work
should
not
be
ignored.
In
recent
years,
prefabricated
has
attracted
much
attention
as
efforts
are
made
to
pursue
green,
low-carbon,
and
waste-reducing
buildings.
However,
research
on
assessment
buildings
focused
mainly
structural
aspect
with
few
studies
having
considered
decoration.
This
study
therefore
focuses
assessing
from
life
cycle
perspective
a
case
residential
building
explores
potential
for
reducing
decorating
components.
The
results
show
that
using
in
reduced
29.08%
at
material
production
stage
compared
traditional
decoration,
optimized
design
building’s
energy
consumption
over
its
could
reduce
1046
kgCO2/m2.
These
findings
demonstrate
benefits
prefabrication
emissions.
provides
companies
robust
data
insights
guide
future
decisions
practices,
helping
transform
achieve
neutrality
goal
industry.
Waste Management & Research The Journal for a Sustainable Circular Economy,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 12, 2025
This
research
determines
the
potential
impact
of
reducing
food
waste
on
future
energy
consumption
and
pollutant
emissions.
The
study
uses
system
dynamics
modelling
to
simulate
complex
link
between
population,
demand,
output
their
interactions
with
in
carbon
dioxide
(CO
2
)
Scenarios
are
developed
by
considering
two
elements:
a
reduction
an
increase
output.
Based
case
Delhi,
demand
expected
rise
6%
35%
every
year,
respectively,
from
2023
2033.
model
predicts
that
20%
waste,
combined
efficiency,
could
reduce
CO
emissions
23.17%
combination
scenario
proved
be
most
efficient
consumption.
significant
highlights
integrated
management
strategies
mitigating
environmental
impact.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(4), P. 1364 - 1364
Published: Feb. 7, 2025
The
Beijing–Tianjin–Hebei
(BTH)
region
serves
as
a
pivotal
engine
for
China’s
economic
development
and
gathering
area
energy
consumption
carbon
emissions.
Its
early
achievement
of
peak
is
great
significance
promoting
high-quality
regional
coordinated
development.
This
study
constructs
system
dynamics
model
encompassing
four
primary
subsystems,
economy,
energy,
population,
environment,
based
on
an
in-depth
analysis
the
current
situation
main
characteristics
emissions
in
BTH
from
2010
to
2022.
We
explored
emission
reduction
effects
under
different
scenarios
by
simulating
baseline
scenario,
industrial
structure
optimization
environmental
protection
scenario.
results
indicate
following:
(1)
From
2020
2030,
predicted
exhibit
fluctuating
downward
trend
all
five
scenarios,
with
most
rapid
decline
observed
(2)
Under
single-variable
regulation,
Beijing
achieves
best
effect
while
Tianjin
Hebei
superior
performance
(3)
All
three
regions
demonstrate
optimal
reductions
Finally,
this
discusses
paths
Beijing,
Tianjin,
Hebei,
provides
targeted
suggestions
their
implementation.
