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.
PLoS ONE,
Год журнала:
2024,
Номер
19(4), С. e0292260 - e0292260
Опубликована: Апрель 18, 2024
Pollution
in
the
environment
is
today
biggest
issue
facing
globe
and
main
factor
development
of
many
fatal
diseases.
The
objective
study
to
investigate
green
investments,
economic
growth
financial
on
environmental
pollution
G-7
countries.
This
used
annual
penal
data
from
1997
2021.
panel
NARDL
(Non-linear
autoregressive
distributed
lag)
results
affirm
that
positive
change
investment
negative
shock
have
a
significant
association
with
nations.
Our
findings
provide
more
evidence
for
long-term
asymmetry
between
performance.
However,
confirm
modification
has
effect
pollution.
Whereas
insignificant
relationship
Moreover,
outcomes
reveal
both
gross
domestic
product
link
According
findings,
by
lowering
carbon
dioxide
emissions,
investments
reduced
nations
over
long
short
term.
it
an
innovative
research
effort
provides
light
connection
development,
while
making
mention
EKC
After
all
these,
our
recommendation
increases
expenditures
reduce
based
findings.
Additionally,
one
important
way
nation
achieve
its
sustainable
goals
improve
advancements
sector.
Cleaner Energy Systems,
Год журнала:
2023,
Номер
5, С. 100075 - 100075
Опубликована: Июнь 3, 2023
In
mining,
the
system
of
operation
relies
on
equipment
that
consumes
large
amounts
energy.
mine
operations,
diesel-powered
is
widely
used
due
to
its
flexibility,
loading
capacity,
and
adaptability
various
terrain
conditions.
However,
it
presents
high
diesel
oil
consumption
emission
rate
greenhouse
gasses,
mainly
carbon
monoxide.
This
paper
offers
a
comprehensive
view
hydrogen
effect
engines
in
search
for
renewable
energy
alternatives
are
tune
with
reduction
environmental
impact
arising
from
use
petroleum-derived
fuels.
article
trucks
mining
industry.
It
followed
by
discussion
fuel
exhaust
emissions.
adds
technologies
producing
hydrogen,
advantages
using
them
controlled
quantities,
challenges
production,
storage
as
well
supply
costs.
Highlight
carbon-free
"green
hydrogen",
which
itself
promising
alternative
operations
decarbonize
mines,
open
pit
or
underground.
Ore Geology Reviews,
Год журнала:
2023,
Номер
159, С. 105504 - 105504
Опубликована: Июнь 10, 2023
The
intelligent
construction
of
the
mining
industry
has
become
an
emerging
trend
in
its
future
development
plans.
As
a
traditional
high
energy
consumption
industry,
conservation
and
emissions
reduction
have
particularly
urgent
concerns.
Therefore,
it
is
great
significance
to
study
impact
intelligence
on
carbon
from
industry.
This
paper
first
uses
dynamic
indirect
factors
build
accounting
model
for
calculates
related
2001
2020
by
sector.
Then,
expandable
stochastic
environmental
assessment
(STIRPAT)
established
analyze
intellectualization
intensity
China’s
At
same
time,
many
other
important
are
included
model,
fitted
using
ridge
regression.
results
show
that
order
influence,
large
small,
as
follows:
intensity,
industrial
output
value,
per
capita
proportion
value
medium-sized
enterprises,
stock
fixed
assets,
average
enterprise
R&D
energy.
Each
1%
increase
above
will
corresponding
0.2005%,
−0.1271%,
−0.1207%,
0.7467%,
−0.0595%,
−0.09813%,
0.1143%
−0.1419%,
respectively.
prediction
values
independent
variables
obtained
scenario
analysis
method
grey
12
scenarios
set
up
predict
2021
2035
expanded
STIRPAT
model.
By
analyzing
results,
we
conclude
Scenario
8,
9,
10,
11
can
achieve
goals
2025
2030;
optimal
path
given
various
scenarios.
Finally,
strategy
proposed.
Energies,
Год журнала:
2024,
Номер
17(4), С. 767 - 767
Опубликована: Фев. 6, 2024
This
paper
presents
an
empirical
investigation
into
the
effects
of
energy
transition
and
digitization
on
carbon
dioxide
emissions,
serving
as
a
proxy
for
environmental
sustainability,
across
28
Chinese
provinces
from
2000
to
2021.
Utilizing
both
static
dynamic
regression
analyses,
study
reveals
significant
driving
effect
primarily
through
reduction
in
emissions.
Notably,
this
influence
is
more
pronounced
eastern
region
China,
followed
by
central
western
regions,
indicating
regional
heterogeneity
impact
transition.
Furthermore,
found
have
substantial
moderating
effect,
enhancing
conservation
emission
reductions.
As
progresses,
its
capability
diminish
transitions
emissions
becomes
apparent,
particularly
region,
while
less
marked
China.
The
also
delves
nonlinear
relationship
between
discovering
that
increased
levels
can
exacerbate
negative
These
findings
offer
valuable
insights
dynamics
digitalization,
highlighting
their
crucial
roles
shaping
sustainability
