Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: Aug. 8, 2024
Abstract
In
order
to
address
the
carbon
emissions
generated
by
plantation
industry
in
China,
this
study
used
panel
data
from
30
provinces
between
2012
and
2022
predict
analyse
through
LightGBM
algorithm
SHAP.
addition,
hyper-parameters
of
regression
model
were
optimised
a
Bayesian
optimisation
five-fold
cross-validation
was
applied
check
robustness
machine
learning
results.
Finally,
SHAP
depth
key
factors
affecting
explore
ways
promote
emission
reduction
China's
industry.
The
results
show
that
agriculture-related
financial
expenditure,
number
agricultural
high-tech
enterprises
rural
professional
cooperatives
have
negative
effects
non-linear
characteristics
on
prediction
outperforms
benchmark
algorithm,
R2
mean
value
is
0.982.
can
provide
scientific
basis
technical
support
for
promoting
sustainable
development
Chinese
agriculture.
Agriculture,
Journal Year:
2024,
Volume and Issue:
14(9), P. 1454 - 1454
Published: Aug. 26, 2024
Promoting
low-carbon
agriculture
is
vital
for
climate
action
and
food
security.
State
farms
serve
as
crucial
agricultural
production
bases
in
China
are
essential
reducing
China’s
carbon
emissions
boosting
emission
efficiency.
This
study
calculates
the
of
state
across
29
Chinese
provinces
using
IPCC
method
from
2010
to
2022.
It
also
evaluates
efficiency
with
Super-Slack-Based
Measure
(Super-SBM
model)
analyzes
influencing
factors
Logarithmic
Mean
Divisia
Index
(LMDI)
method.
The
findings
suggest
that
three
largest
sources
rice
planting,
chemical
fertilizers,
land
tillage.
Secondly,
initially
surge,
stabilize
fluctuations,
ultimately
decline,
higher
observed
northern
eastern
China.
Thirdly,
rise
driven
primarily
by
technological
progress.
Lastly,
economic
development
industry
structure
promote
emissions,
while
labor
scale
reduce
them.
To
improve
efficiency,
following
measures
can
be
taken:
(1)
Improve
all
links;
(2)
Optimize
industrial
coordinated
agriculture;
(3)
Reduce
specialization,
professionalization,
high-quality
labor;
(4)
Accelerate
green
technology
innovation
guide
transformation
farms.
enriches
theoretical
foundation
develops
a
framework
assessing
farms,
offering
guidance
future
research
policy
sustainable
agriculture.
Frontiers in Environmental Science,
Journal Year:
2024,
Volume and Issue:
12
Published: Feb. 7, 2024
Introduction:
Achieving
peak
carbon
dioxide
emissions
and
neutrality
is
an
extensive
profound
systematic
economic
social
change.
Through
market-oriented
financial
means,
green
finance
has
moved
forward
the
effective
governance
port,
curbed
polluting
investment
promoted
technological
progress
such
as
low-carbon,
energy
conservation
environmental
protection,
which
become
a
powerful
starting
point
to
support
practice
of
low-carbon
development.
Methods:
Based
on
panel
data
30
provinces
in
China
(except
Tibet,
Hongkong,
Macau
Taiwan
Province)
from
2004
2021,
this
paper
calculates
development
level
by
using
entropy
weight
method,
basis,
uses
mathematical
statistical
model
verify
impact
its
sub-dimensions
regulatory
effect
heterogeneous
regulation
tools.
Results:
The
results
show
that
significant
inhibitory
during
investigation
period,
there
time
lag
effect.
After
series
robustness
tests
considering
endogenous
problems,
conclusion
still
holds.
From
heterogeneity
analysis,
emission
reduction
credit
most
obvious,
slightly
different
regions.
Besides,
Command-controlled
tools
public
participation
play
positive
role
transmission
path
finance’s
emissions,
but
market-driven
cannot
effectively
enhance
Discussion:
research
provide
basis
for
government
formulate
flexible,
accurate,
reasonable
appropriate
policies,
help
strengthen
exchange
cooperation
between
regions
reducing
fixing
carbon,
actively
steadily
promote
China’s
goal
“peak
neutrality”.
Agriculture,
Journal Year:
2025,
Volume and Issue:
15(4), P. 373 - 373
Published: Feb. 11, 2025
Reducing
carbon
emissions
in
crop
production
not
only
aligns
with
the
goal
of
high-quality
agricultural
development
but
also
contributes
to
achieving
“dual
goals”.
Based
on
panel
data
from
31
provinces
China
between
2010
and
2019,
this
paper
explores
impact
Agricultural
Socialized
Services
China’s
production.
Utilizing
classical
IPCC
emission
calculation
model
spatial
econometrics
models,
study
analyzes
temporal
distribution
characteristics
their
driving
factors,
a
particular
focus
evaluating
role
reducing
The
empirical
results
reveal
“reverse
U-shaped”
curve
for
peak
2015.
significantly
reduced
production,
especially
terms
reductions
fertilizer
pesticide
use,
although
other
sources
such
as
plastic
mulch,
diesel,
tillage
was
relatively
limited.
Furthermore,
exhibited
significant
spillover
effects,
effectively
local
generating
positive
reduction
effects
neighboring
regions
through
cross-regional
services.
these
findings,
suggests
improving
system
according
regional
conditions
fully
leverage
its
It
advocates
accelerating
innovation
low-carbon
technologies,
encouraging
farmers’
participation,
utilizing
organizational
advantages
village
collectives
jointly
promote
achieve
goals.
Data in Brief,
Journal Year:
2024,
Volume and Issue:
54, P. 110491 - 110491
Published: May 3, 2024
Understanding
and
predicting
CO2
emissions
from
individual
power
plants
is
crucial
for
developing
effective
mitigation
strategies.
This
study
analyzes
forecasts
an
engine-based
natural
gas-fired
plant
in
Dhaka
Export
Processing
Zone
(DEPZ),
Bangladesh.
also
presents
a
rich
dataset
ELM-based
prediction
model
Utilizing
of
Electricity
generation
Gas
Consumption,
tons
are
estimated
based
on
the
measured
energy
use,
ELM
models
were
trained
data
January
2015
to
December
2022
used
forecast
until
2026.
aims
improve
understanding
plants.
While
specific
operational
strategy
studied
not
available,
provided
can
serve
as
valuable
baseline
or
benchmark
comparison
with
similar
facilities
development
future
research
optimizing
operations
The
Extreme
Learning
Machine
(ELM)
modeling
method
was
employed
due
its
efficiency
accuracy
prediction.
achieved
performance
metrics
Root
Mean
Square
Error
(RMSE),
Absolute
(MAE),
Scaled
(MASE),
values
respectively
3494.46
(<5000),
2013.42
(<2500),
0.93
close
1,
which
falls
within
acceptable
range.
Although
gas
cleaner
alternative,
emission
reduction
remains
essential.
data-driven
approach
using
Bangladeshi
case
provides
replicable
framework
measuring
forecasting
facilities,
contributing
global
climate
change.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(10), P. e31215 - e31215
Published: May 1, 2024
Studying
the
impact
of
agricultural
digitalization
(ADT)
on
carbon
emission
intensity
planting
industry
(PCI)
can
help
promote
sustainable
development
and
realize
"dual
carbon"
goal.
Based
panel
data
31
provinces
in
China
from
2010
to
2020,
this
study
uses
entropy
weight
method
coefficient
measure
level
ADT
PCI,
respectively.
By
using
regression
analysis
method,
as
well
robustness
test,
heterogeneity
spatial
spillover
effect
threshold
tests,
PCI
was
examined.
The
results
are
follow:
(1)
is
high
north
low
south,
north-south
divide
becoming
prominent.
(2)
significantly
reduce
verified
through
test.
(3)
Regional
differences
exist
with
most
significant
observed
northeast
region,
followed
by
western
central
regions.
(4)
exerts
a
an
inhibitory
adjacent
provinces.
(5)
proportion
urban
population
PCI.
When
ratio
crosses
69
%,
emissions
decreases
marginally.
Therefore,
promoting
green
low-carbon
highly
recommended.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(11), P. 4775 - 4775
Published: June 4, 2024
With
the
deep
integration
of
digital
technology
and
inclusive
finance,
finance
has
provided
a
new
opportunity
for
agricultural
high-quality
development
through
“overtaking
on
curves”.
This
article
empirically
examines
impact
dynamic
mechanism
land
circulation
in
its
transmission
process,
utilizing
panel
data
from
various
provinces
China
2011
to
2021.
The
research
indicates
that
significant
improvement
effect
development,
this
conclusion
remains
valid
after
series
endogenous
treatments
robustness
tests.
Meanwhile,
intelligent
manufacturing
more
pronounced
role
promoting
China’s
eastern
regions,
regions
with
sound
infrastructure,
high
environmental
regulation
intensity.
Further
reveals
can
promote
circulation.
conclusions
provide
important
empirical
evidence
policy
implications
achieving
coordinated
economic
growth
protection,
thereby
realizing
beautiful
vision
comprehensive
rural
revitalization.
Frontiers in Ecology and Evolution,
Journal Year:
2024,
Volume and Issue:
12
Published: March 1, 2024
Objective
This
study
recalculates
the
carbon
emissions
of
urban
and
rural
residents
in
China,
analyzing
dynamic
evolution
trends
emissions.
It
explores
spatial
spillover
effects
centered
around
inequality
between
areas.
Methods
The
calculates
each
province
based
on
IPCC
method.
Non-parametric
kernel
density
estimation
is
employed
to
depict
characteristics
national,
urban,
Theil
Index
used
measure
disparities
major
strategic
regions,
further
applying
evaluate
across
provinces.
helps
identify
driving
factors
affecting
their
spatio-temporal
effects.
Finding
Carbon
from
China
present
a
divergent
development
pattern.
Urban
have
increased,
with
inter-provincial
widening;
tend
stabilize,
slight
growth
gaps.
overall
various
regions
experiences
three-phase
journey
rise,
decline,
stabilization.
first
increases
then
decreases,
while
gradually
lessens,
showing
clear
regional
urban-rural
differences.
Market
government
significantly
impact
digital
economy
aids
reducing
generates
significant
relationship
economic
level
emission
U-shaped.
Industrial
structure
optimization
can
reduce
inequality,
but
its
effect
not
significant.
Government
intervention
has
limited
effects,
environmental
regulations
may
increase
inequality.
Opening
up
outside
world
population
complex.
Frontiers in Sustainable Food Systems,
Journal Year:
2025,
Volume and Issue:
9
Published: April 14, 2025
Introduction
Agricultural
carbon
emission
reduction
is
the
meaning
of
realizing
goal
double
carbon,
and
Sichuan
province,
as
one
main
grain
producing
areas
in
China,
it
urgent
to
realize
agricultural
reduction.
Methods
Based
on
data
18
cities
province
from
2000
2022,
this
paper
calculates
total
intensity
by
using
IPCC
guidelines,
measures
its
temporal,
spatial
evolution
trend
regional
differences,
further
evaluates
driving
factors
fixed
effect
model.
Results
The
results
show
that:
(1)
quantity
emissions
has
increased,
but
decreased,
among
which
caused
land
planting
residents’
life
are
sources;
(2)
differences
narrowing,
gap
between
groups
root
emissions,
shows
that
eastern
western
Sichuan,
southern
quite
different;
(3)
characterized
agglomeration
spillover,
mainly
showing
a
High-High
mode,
few
have
changed
their
modes;
(4)
influenced
multiple
factors.
Population
density,
industrial
structure,
social
wealth,
mechanization
technological
progress
negative
effects
intensity,
while
macro-control
increased
intensity.
Discussion
In
study,
complete
accounting
system
for
was
established,
series
statistical
methods
were
used
analyze
obtain
insightful
results.
It
useful
exploration
low-carbon
models
context
climate
change.
important
implications
green
development
agriculture
province.
