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.
With
the
rapid
pace
of
urbanization,
significance
urban
underground
spaces
is
increasingly
emphasized.
However,
risks
associated
with
these
have
also
grown,
and
there
exist
intricate
interrelationships
coupling
effects
among
risk
factors.
Hence,
it
paramount
importance
to
assess
analyze
in
enhance
their
safety
sustainability.
In
this
study,
we
first
identified
12
factors
by
categorizing
accidents
that
occurred
China
from
2012
2022
into
four
types:
people,
equipment,
environment,
management.
Subsequently,
employing
interpretative
structural
modeling,
qualitatively
classified
hierarchical
order
explored
mechanisms
behind
coupling.
As
a
result,
severe
climate,
emergency
plans,
regulations
as
primary
By
analytic
hierarchy
process
method
determine
weights
utilizing
cloud
model
ascertain
levels,
quantified
degree
for
each
factor.
Furthermore,
validated
accuracy
constructed
applying
real-world
case.
Finally,
based
on
PESTEL
analysis,
presented
specific
viable
countermeasures
relevant
departments
address
effectively.
This
great
effectively
managing
risks,
minimizing
human
casualties
property
losses,
enhancing
sustainability
spaces.
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.
