Energy Science & Engineering,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 2, 2025
ABSTRACT
Energy
poverty
poses
a
significant
challenge
in
the
context
of
stringent
environmental
policies,
particularly
developing
economies
like
China.
This
study
investigates
impact
energy
at
household
level
from
2010
to
2022
using
data
China
Family
Panel
Studies
(CFPS).
The
analysis
incorporates
information
49,373
households
across
25
regional
administrative
divisions,
excluding
regions
with
insufficient
representation.
We
measure
two
proxies:
proportion
expenditure
total
income,
and
threshold
indicator
where
spending
more
than
10%
their
budget
on
are
classified
as
poor.
Covariates
include
family
size,
age,
education
heads,
characteristics
(North–South
division).
Results
reveal
that
northern
experience
significantly
higher
poverty,
exacerbated
by
stricter
policies
climatic
conditions.
storage
systems
emerging
critical
mitigating
factor,
reducing
costs
smoothing
consumption
patterns.
Policy
implications
suggest
incentivizing
affordable
accessible
technologies
alleviate
while
ensuring
sustainability.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(17), P. e36634 - e36634
Published: Aug. 23, 2024
This
study
investigates
the
efficacy
of
green
industrial
policies
in
stimulating
innovation
within
China's
polluting
industries,
over
period
2011-2022.
Focusing
on
30
provinces,
we
assess
dynamic
relationship
between
policy
implementation
and
environmentally
detrimental
sectors.
Employing
Difference-in-Differences
(DID)
Propensity
Score
Matching
DID
(PSM-DID)
models,
analyze
comprehensive
provincial-level
data
to
quantify
impact
measures
technological
advancements.
The
results
reveal
a
significant
positive
correlation
rate
innovation,
particularly
regions
with
higher
pollution
levels.
These
findings
suggest
that
well-structured
can
serve
as
effective
catalysts
for
fostering
sustainable
innovations
industries.
Policy
implications
highlight
necessity
targeted,
region-specific
approaches
maximize
potential
promoting
environmental
sustainability
economic
growth.
Natural Resources Forum,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 30, 2024
Abstract
The
rapid
advancement
of
digital
technologies
in
China,
America,
India,
Saudi
Arabia,
Japan,
Indonesia,
Germany,
Iran,
South
Korea,
and
Russia
presents
both
significant
opportunities
challenges
for
achieving
sustainable
development,
particularly
balancing
economic
growth
with
environmental
conservation.
This
study
rigorously
assesses
the
impact
government
initiatives
on
innovations
emission
reduction
policies
from
2002
to
2022,
focusing
their
ability
balance
ecological
influences.
By
employing
a
sophisticated
model
that
integrates
second‐generation
tests
confirm
cross‐sectional
dependence
gradient
variation,
this
research
ensures
precision
its
findings.
analysis
reveals
digitalization,
clean
energy
adoption,
utilization
these
countries'
abundant
natural
resources
over
two‐decade
period
have
contributed
substantially
reducing
footprints.
However,
also
identifies
structural
discontinuities
linear
trends
intercepts
due
integration
technologies.
incorporating
variables
such
as
e‐commerce,
income
resources,
growth,
conservation‐friendly
technologies,
sources,
carbon
dioxide
emissions,
provides
comprehensive
evaluation.
results
highlight
consistent
decline
driven
by
technological
advancements.
policy
implications
are
clear:
sustain
enhance
positive
trends,
governments
must
continue
promote
digitalization
innovation
while
carefully
managing
new
prevent
potential
disruptions.
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(2), P. e0317914 - e0317914
Published: Feb. 6, 2025
Regarding
the
transportation
of
people,
commodities,
and
other
items,
aeroplanes
are
an
essential
need
for
society.
Despite
generally
low
danger
associated
with
various
modes
transportation,
some
accidents
may
occur.
The
creation
a
machine
learning
model
employing
data
from
autonomous-reliant
surveillance
transmissions
is
detection
prediction
commercial
aircraft
accidents.
This
research
included
development
abnormal
categorisation
models,
assessment
recognition
quality,
anomalies.
methodology
consisted
following
steps:
formulation
problem,
selection
labelling,
construction
prediction,
installation,
testing.
tagging
technique
was
based
on
requirements
set
by
Global
Aviation
Organisation
business
jet-engine
aircraft,
which
expert
pilots
then
validated.
93%
precision
demonstrated
excellent
match
most
effective
model,
linear
dipole
Furthermore,
"good
fit"
verified
its
achieved
area-under-the-curve
ratios
0.97
identification
0.96
daily
detection.
