Journal of statistics and economics.,
Год журнала:
2024,
Номер
1(6), С. 24 - 33
Опубликована: Дек. 1, 2024
This
study
selects
carbon
emission
data
from
Daqing
City
2001
to
2023
as
the
subject
of
analysis,
employs
STIRPAT
model
and
ridge
regression
method
decompose
key
factors
affecting
emissions,
combines
scenario
analysis
construct
32
different
combined
scenarios
predict
emissions
peak
time
2024
2035.
results
show
that
are
generally
positively
correlated
with
City;
Under
baseline
scenario,
is
expected
reach
its
in
2030,
while
under
single
pathway
scenarios,
likely
achieve
early
2025.
Based
on
prediction
results,
propose
suggestions
both
industry
technology
aspects,
take
lead
achieving
peak.
Ecological Indicators,
Год журнала:
2023,
Номер
156, С. 111156 - 111156
Опубликована: Окт. 27, 2023
Carbon
neutralization
of
land
use
and
cover
(LULC)
has
become
an
important
way
for
countries
to
cope
with
future
climate
change.
Existing
studies
focus
on
the
quantification
analysis
historical
current
carbon
storage
emissions
but
lack
understanding
LULC
emissions,
which
limits
practical
guiding
value
research
findings
regional
dynamic
management
scientific
decision-making.
In
this
study,
temporal
spatial
distribution
patterns
dynamics
in
different
ecosystems,
such
as
forest,
cropland
grassland,
West
Liao
River
Basin
(WLRB)
since
1990
were
quantitatively
assessed.
Grey
multiple
objective
programming
(G-MOP)
patch‑generating
simulation
(PLUS)
models
used
predict
distribution,
under
sustainable
development
scenario
(SDS)
WLRB
2030
2060,
a
comparative
was
performed
other
scenarios.
The
overall
area
grassland
forest
ecosystems
showed
upwards
trend
from
2020,
while
farmland
slightly
decreased.
western
part
WLRB,
net
ecosystem
production
(NEP)
high
aggregation,
low
NEP
aggregation
effect
urban
area.
Under
economic
(EDS)
impervious
layers
will
be
further
expanded,
highest,
amount
lowest.
ecological
protection
(EPS),
water
increased
significantly,
lowest,
highest.
SDS
scenario,
areas
cropland,
layer
body
are
moderate,
budget
is
better
than
that
natural
(NDS).
these
three
scenarios,
barren
lower
scenario.
Considering
benefit,
benefit
budget,
best
performance.
This
study
provides
new
perspective
discussing
status
small-scale
watershed
combines
goals
"sustainable
development"
"dual
carbon".
It
data-supported
basis
diversified
compensation
mechanism
neutrality
well
insights
formulation
optimization
policies.
Sustainable Development,
Год журнала:
2023,
Номер
31(5), С. 3387 - 3407
Опубликована: Май 3, 2023
Abstract
A
conceptual
framework
is
constructed
to
discuss
the
Energy
Transformation
Efficiency
and
Justice
for
Carbon
Neutrality
sustainable
development.
Both
Slack
Based
Measure‐based
Model
improved
are
applied
measure
transformation
efficiency
justice
respectively.
Then
empirical
analysis,
influencing
mechanism
of
energy
on
economy
analyzed
by
using
panel
data
USA,
China
EU
from
2000
2020
with
Panel
Smooth
Transition
Regression
(PSTR).
The
results
reveal
that:
requires
a
subtle
balance
between
three
essential
inputs
two
important
outputs,
while
associated
five
dimensions
can
describe
both
equal
opportunity
procedural
justice.
improving
year
year,
they
not
completely
mutually
exclusive
at
present.
As
far
as
performance
concerned,
best
all
justice,
USA
better
than
but
efficiency.
In
terms
interrelationship,
there
an
obvious
Regime
Switching
Effect
when
growth.
Furthermore,
note
that
state
transition
be
limited
economic
situation
sector
in
each
economy.
International Journal of Low-Carbon Technologies,
Год журнала:
2024,
Номер
19, С. 1368 - 1379
Опубликована: Янв. 1, 2024
Abstract
With
the
urgency
of
mitigating
global
warming,
low-carbon
transformation
power
grid
systems
has
emerged
as
a
pivotal
industry
upgrade
for
sustainable
development.
We
proposed
novel
deep
neural
network-based
approach
investment
decision
planning
in
grids,
which
aimed
to
address
multidimensional
key
indicators
related
and
provided
reliable
electricity
layouts
plans
system
decisions.
To
achieve
this,
three
targeted
branch
models
were
established,
encompassing
behavior,
production
consumption,
predictions
new
capacity
investment.
These
effectively
tackled
challenges
associated
with
distribution,
price
scheduling,
carbon
quotas,
feasibility
generation
technologies.
Subsequently,
model
was
constructed,
employing
spatiotemporal
networks
recurrent
networks,
integrated
aforementioned
incorporated
existing
data.
A
comparative
analysis
conducted,
examining
predicted
results
against
actual
values
from
perspectives:
portfolio,
economy,
overall
plans.
The
demonstrated
effectiveness
our
method
accurately
predicting
future
installed
diverse
technologies,
sustainability
indices,
returns.
Notably,
achieves
an
impressive
forecasting
accuracy
over
90%
compared
past
4
years.
Frontiers in Energy Research,
Год журнала:
2023,
Номер
11
Опубликована: Сен. 19, 2023
Nuclear
power
plays
a
crucial
role
in
achieving
the
target
of
carbon
neutrality
to
build
sustainable
society.
However,
it
is
not
“carbon-free”
when
considering
its
entire
life
cycle.
Therefore,
accurate
accounting
and
monitoring
generated
emissions
are
required
avoid
miscalculations
nuclear
energy
as
clean
source.
In
this
study,
life-cycle
plants
(NPPs)
with
different
reactor
types
reviewed.
addition
characteristic
differences
among
reactors,
disparities
review
results
originate
from
varying
at
respective
stages
fuel
cycle,
technology
choices
each
stage
methods
boundaries.
The
resulting
NPP
construction
operation
underestimated
due
limited
data
methods,
which
creates
uncertainty
evaluation
emissions.
An
integrated
framework
for
NPPs
(CACO-NPP)
proposed.
This
aims
improve
accuracy
originating
NPPs.
emerging
Generation
III
latest
technology,
HPR1000
(an
advanced
pressurized
water
reactor),
was
adopted
case
study.
show
that
total
vegetation
loss,
equipment
manufacturing
labor
input
during
1232.91
Gg
CO
2
intensity
1.31
g
/kWh,
indicating
notable
mitigation
capability
By
combining
maturity
successive
design
improvements,
such
could
be
further
reduced.
development
very
important
realizing
China’s
target.
Atmosphere,
Год журнала:
2023,
Номер
15(1), С. 3 - 3
Опубликована: Дек. 20, 2023
This
study
presents
a
comprehensive
analysis
of
vehicle
ownership,
energy
consumption,
and
carbon
emissions
in
Guangdong
Province,
China,
from
2020
to
2035
under
different
scenarios.
Key
findings
highlight
the
province’s
pursuit
peak
goals
provide
valuable
insights
into
strategies
achieve
them.
Vehicle
ownership
is
projected
exceed
48
million
by
2035,
which
represents
doubling
2020.
Under
both
scenarios,
internal
combustion
engine
will
around
2030
then
gradually
decline,
while
enhanced
scenario,
electric
40%
2035.
Enhanced
efficiency
reduced
annual
mileage
lead
17%
reduction
gasoline
diesel
consumption
At
same
time,
there
be
substantial
five-
six-fold
increase
electricity
for
vehicles
compared
Both
scenarios
before
2030,
with
scenario
achieving
this
year
earlier.
The
outperforms
baseline,
reducing
about
21.2%
8%
relative
Pure
exhibit
significant
advantage
per
their
counterparts.
Encouraging
new
vehicles,
especially
pure
ones,
accelerates
lowers
overall
emissions.
Accelerating
adoption
per-vehicle
fuel
average
mileage,
optimizing
transportation
modes
are
crucial
peaking
cycle.
Policy
recommendations
focus
on
promoting
transportation,
advancing
research
technology.
