Linear and non-linear impact of key agricultural components on greenhouse gas emissions
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Фев. 13, 2025
Agriculture
significantly
impacts
the
global
environment,
contributing
to
greenhouse
gas
(GHG)
emissions,
air
and
water
pollution,
biodiversity
loss.
As
population
grows
demands
higher
agricultural
output,
these
environmental
are
expected
intensify.
Among
contributors,
China,
with
its
vast
prominent
sector,
plays
a
leading
role
in
GHG
emissions.
Understanding
mitigating
China
is
crucial
for
addressing
broader
challenges.
To
address
key
issues,
we
conducted
study
on
dynamic
impact
of
variables
(agricultural
land,
fertilizer
consumption,
energy
use
agriculture,
value-added,
forest
livestock,
fisheries,
crop
production)
emissions
by
utilizing
data
from
1990
2020,
employed
linear
non-linear
autoregressive
distributed
lag
(ARDL
NARDL)
models.
In
study,
co-integration
analysis
confirms
long-run
relationship
between
variables,
long-term
findings
ARDL
model
reveal
important
insights,
increased
land
use,
production,
livestock
fishery
production
increases
can
be
reduced
increasing
long
term.
Furthermore,
asymmetric
NARDL
regression
applied
three
positive
shock
results
confirm
that
(AGL+),
consumption
(FC+),
(EUA+)
contribute
However,
adverse
shocks
(AGL−),
(FC−),
(EUA−)
could
compress
These
offer
valuable
implications
Chinese
authorities'
focus
expanding
using
more
renewable
energy,
minimizing
usage
chemicals
agriculture.
measures
help
mitigate
while
promoting
sustainable
practices.
Язык: Английский
Stringent Environmental Policies: How They Shape the Future of Nuclear Energy Generation
Nuclear Engineering and Technology,
Год журнала:
2025,
Номер
unknown, С. 103650 - 103650
Опубликована: Апрель 1, 2025
Язык: Английский
Do Natural Disasters, Fossil Fuels, and Renewable Energy Affect CO2 Emissions and the Ecological Footprint?
Ekonomikalia Journal of Economics,
Год журнала:
2025,
Номер
3(1), С. 47 - 63
Опубликована: Апрель 27, 2025
Climate
change
is
a
global
concern
driven
by
increasing
pollution
through
rising
CO2
emissions
and
growing
ecological
footprint
from
human
activities.
This
research
investigates
how
environmental
quality
(proxied
footprint)
in
Indonesia
affected
multiple
factors,
including
natural
disasters,
fossil
fuels,
renewable
energy
consumption,
economic
growth,
capital
formation
1965
to
2022.
The
analysis
employs
the
Autoregressive
Distributed
Lag
(ARDL)
model,
with
robustness
ensured
using
Dynamic
Ordinary
Least
Squares
(DOLS),
followed
Granger
causality
tests
examine
dynamic
relationships
between
variables.
findings
show
that
fuel
growth
contribute
long
run,
while
consumption
helps
reduce
them.
Natural
disasters
exhibit
negative
but
insignificant
impact
on
footprint.
Economic
increases
footprint,
whereas
it
run.
In
short
fuels
are
found
increase
emissions,
reduces
Additionally,
test
confirms
unidirectional
relationship
both
quality.
study
recommends
implement
integrated
strategies
focused
accelerating
green
adoption
enhancing
disaster
resilience
achieve
Язык: Английский