Environmental Engineering Research,
Год журнала:
2023,
Номер
29(4), С. 230399 - 0
Опубликована: Ноя. 9, 2023
Agriculture,
a
critical
industry
highly
susceptible
to
climate
change,
requires
thorough
analysis
of
its
carbon
reduction
potential
and
priority
exploration
advance
towards
green
sustainable
development.
Therefore,
this
study
employs
variable
coefficient
panel
model
examine
the
regional
heterogeneity
influencing
factors.
It
also
uses
PSO-BP
neural
network
simulate
changes
in
China's
agricultural
intensity
total
emissions
under
three
distinct
scenarios.
The
findings
revealed
that
(1)
baseline
scenario
aggressive
scenario,
most
Chinese
provinces
cities
can
achieve
30%
by
2030,
advanced
economic
development
eastern
coastal
regions
positions
them
favorably
for
achieving
peak
emissions.
(2)
Economic
interventions
are
main
driving
force
their
targets,
followed
technological
population
adjustment.
(3)
Eight
be
used
as
emission
benchmarks,
while
Xinjiang,
Inner
Mongolia,
Henan
challenging
points
attaining
national
targets.
Environmental Science and Pollution Research,
Год журнала:
2023,
Номер
30(46), С. 102894 - 102909
Опубликована: Сен. 6, 2023
Abstract
Emerging
countries
are
at
the
frontier
of
climate
change
actions,
and
carbon
emissions
accounting
provides
a
quantifiable
measure
environmental
impact
economic
activities,
which
allows
for
comparisons
across
different
entities.
However,
currently
there
is
no
study
covering
detailed
inventories
emerging
in
Central
Asian.
This
paper
compiles
accurate
several
Asian
(i.e.,
Kazakhstan,
Kyrgyzstan,
Pakistan,
Palestine,
Tajikistan,
Uzbekistan)
during
period
2010–2020.
Using
IPCC
administrative
territorial
approach,
we
first
time
compile
their
47
sectors
five
energy
categories.
Moreover,
also
investigate
decoupling
status
based
on
Tapio
model
examine
driving
factors
index
decomposition
analysis
method.
The
primary
results
illustrate
that
increasing
with
huge
differences.
Decoupling
highlight
most
sample
still
need
more
effort
to
decouple
economy
except
Pakistan
achieves
an
ideal
strong
state.
indicate
population
both
raise
emissions,
while
intensity
negative
drivers
some
countries.
We
propose
practical
policy
implications
decarbonization
transition
roadmap
Environmental Engineering Research,
Год журнала:
2023,
Номер
29(4), С. 230399 - 0
Опубликована: Ноя. 9, 2023
Agriculture,
a
critical
industry
highly
susceptible
to
climate
change,
requires
thorough
analysis
of
its
carbon
reduction
potential
and
priority
exploration
advance
towards
green
sustainable
development.
Therefore,
this
study
employs
variable
coefficient
panel
model
examine
the
regional
heterogeneity
influencing
factors.
It
also
uses
PSO-BP
neural
network
simulate
changes
in
China's
agricultural
intensity
total
emissions
under
three
distinct
scenarios.
The
findings
revealed
that
(1)
baseline
scenario
aggressive
scenario,
most
Chinese
provinces
cities
can
achieve
30%
by
2030,
advanced
economic
development
eastern
coastal
regions
positions
them
favorably
for
achieving
peak
emissions.
(2)
Economic
interventions
are
main
driving
force
their
targets,
followed
technological
population
adjustment.
(3)
Eight
be
used
as
emission
benchmarks,
while
Xinjiang,
Inner
Mongolia,
Henan
challenging
points
attaining
national
targets.
