Review of Development Economics,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 23, 2024
Abstract
Energy
poverty
is
a
prevalent
subject
in
Pakistan,
and
reducing
it
will
accelerate
the
pace
towards
reaching
targets
of
sustainable
development
goal
7
carbon
neutrality.
Workers'
remittances
have
proved
to
be
major
income
source
not
clear
how
they
can
channeled
improve
energy
access
consumption
eradicate
poverty.
Therefore,
this
study
designed
investigate
impact
considering
both
weak
(energy
consumption)
strong
(Multi‐Dimensional
Poverty
Index
[MDEPI])
forms
Data
from
1990
2020
were
gathered
analyzed
using
dynamic‐ARDL
simulations
understand
empirical
outcomes.
The
outcomes
show
that
effectively
reduce
MDEPI
with
−0.056
coefficient.
results
reveal
through
channel
(−1.569);
however,
relationship
ineffective
Pakistan.
In
case
form
poverty,
supported
idea
individually
investment
channels
alleviate
policies
should
promoted
legally
initiatives,
which
build
vacuum
for
solutions
eradication
Environment Development and Sustainability,
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 4, 2024
Abstract
Malaysia’s
commitment
towards
sustainable
environment
requires
implementing
clean
energy
sources
and
less
raw
materials
usage,
which
could
have
a
significant
impact
on
the
nation’s
biocapacity
ecological
footprint.
As
result,
this
study
examined
environmental
of
resource
efficiency,
biomass
energy,
economic
growth
in
Malaysia,
within
load
capacity
curve
hypothesis
framework,
while
controlling
globalization,
financial
globalization
trade
globalization.
This
research
utilizes
ARDL
estimator
bootstrapped
time-varying
causality
(TVC)
approach
to
analyse
dataset
from
1970
2018.
The
findings
reveals
that
efficiency
increase
factor
(LF),
reduces
LF
Malaysia.
Furthermore,
result
uncovered
validity
hypothesis,
highlighting
persistent
activities
will
help
achieving
quality
TVC
feedback
causal
association
between
its
predictors
These
results
emphasize
need
for
an
effective
circular
economy,
involves
maximizing
use,
reducing
waste,
incorporating
into
framework.
Forests,
Год журнала:
2025,
Номер
16(1), С. 122 - 122
Опубликована: Янв. 10, 2025
Forest
fires
pose
a
significant
ecological
threat,
particularly
in
the
Diamer
District,
Gilgit-Baltistan,
Pakistan,
where
climatic
factors
combined
with
human
activities
have
resulted
severe
fire
incidents.
The
present
study
sought
to
investigate
correlation
between
incidence
of
forest
and
critical
meteorological
elements,
including
temperature,
humidity,
precipitation,
wind
speed,
over
period
25
years,
from
1998
2023.
We
analyzed
169
recorded
events,
collectively
burning
approximately
109,400
hectares
land.
Employing
sophisticated
machine
learning
algorithms,
Random
(RF),
Gradient
Boosting
Machine
(GBM)
revealed
that
temperature
relative
humidity
during
season,
which
spans
May
through
July,
are
key
influencing
activity.
Conversely,
speed
was
found
negligible
impact.
RF
model
demonstrated
superior
predictive
accuracy
compared
GBM
model,
achieving
an
RMSE
5803.69
accounting
for
49.47%
variance
burned
area.
This
presents
novel
methodology
risk
modeling
under
climate
change
scenarios
region,
offering
insights
into
management
strategies.
Our
results
underscore
necessity
real-time
early
warning
systems
adaptive
strategies
mitigate
frequency
intensity
escalating
driven
by
change.
