International Journal of Sustainable Development & World Ecology,
Год журнала:
2023,
Номер
31(4), С. 431 - 446
Опубликована: Дек. 25, 2023
The
concern
that
over-depleting
natural
resources
(NAT)
may
somehow
be
costly
for
environmental
quality
is
a
recurrent
topic
in
empirical
analysis.
However,
the
literature
has
predominantly
focused
on
studying
effects
of
increases
NAT
use
environment,
ignoring
potential
non-linear
interactions.
current
study
seeks
to
expand
previous
by
examining
ramifications
Russia,
home
one
world's
richest
resource
reserves.
In
this
regard,
adopting
load
capacity
factor
(LCF)
as
an
indicator,
examines
how
positive
and
negative
changes
affect
country's
well-being
within
framework
N-ARDL
model
1992–2021.
This
uses
artificial
intelligence
unit
root
asymmetric
Fourier
causality
approach
robustness
Empirical
evidence
suggests
shocks
have
deleterious
influence
LCF,
while
contribute
well-being.
Nonetheless,
long-term
shock
decreases
LCF
greater
amount
than
it.
results
also
demonstrate
'U-shaped'
connection
between
income
growth
ecological
well-being,
confirming
validity
LCC
hypothesis.
Furthermore,
outcomes
reveal
renewable
energy
consumption
human
capital
upgrade
quality.
Therefore,
Russian
policymakers
should
focus
SDG
7,
12,
13
targets,
which
refer
substantially
increasing
primary
secondary
education,
share
green
total
mix,
effective
management
utilization.
Scientific Reports,
Год журнала:
2023,
Номер
13(1)
Опубликована: Март 31, 2023
Abstract
This
paper
evaluates
the
impact
of
electricity
consumption
from
renewable
and
nonrenewable
sources
on
load
capacity
factor
for
BRICS-T
nations
using
data
1990
to
2018.
The
used
linear
nonlinear
autoregressive
distributed
lag
(ARDL)
approaches
explore
these
associations.
results
Westerlund
co-integration
show
long-run
between
independent
variables.
that
energy
human
capital
contribute
sustainability
environment,
while
consumption,
economic
growth,
industrialization
impede
environmental
sustainability.
Similarly,
effect
LCF
shows
interesting
findings.
positive
(negative)
shift
in
increases
ecological
nations.
Furthermore,
Dumitrescu
Hurlin
panel
causality
gives
credence
both
ARDL
results.
study
suggests
policy
recommendations
based
Energy & Environment,
Год журнала:
2023,
Номер
unknown
Опубликована: Июль 27, 2023
This
research
investigates
the
effects
of
income,
total
energy
consumption
(TEC),
price
index
(EPI),
crude
oil
(COP),
political
risk
(PRI),
and
geopolitical
(GPR)
on
environmental
degradation.
In
this
context,
study
includes
five
Gulf
Cooperation
Council
(GCC)
countries,
which
are
mainly
oil-rich
have
high
fossil
fuel
with
increasing
degradation;
considers
monthly
data
from
2000/1
to
2021/12,
deploys
novel
quantile-based
methods.
The
outcomes
demonstrate
that
(i)
an
increase
in
TEC,
EPI
stimulates
degradation
all
GCC
countries;
(ii)
PRI,
COP,
GPR
mixed
(iii)
a
causal
effect
regressors
CO
2
emissions
exists
quantiles
except
for
some
middle
(0.45–0.55)
higher
(0.95);
(iv)
power
vary
according
(v)
consistency
results
is
validated
based
robust
model.
findings
reveal
generally
harmful
environment
but,
effects.
methods
underline
significance
stability
as
non-economic
non-energy
factors
by
demonstrating
varying
countries.
Accordingly,
various
policies,
such
focusing
stability,
benefitting
leverage,
enabling
transition
clean
energy,
discussed.
Energy Strategy Reviews,
Год журнала:
2023,
Номер
51, С. 101281 - 101281
Опубликована: Дек. 12, 2023
Algeria's
recent
economic
shifts
have
caused
its
macroeconomic
data
to
exhibit
an
abnormal
distribution,
requiring
a
nonlinear
approach
examine
the
asymmetric
impact
of
technological
innovation
(TI),
fossil
fuel
energy
(FFE),
and
renewable
(RE)
on
CO2
emissions.
This
study
employs
autoregressive
distributed
lag
(NARDL)
model
analyze
these
factors
Furthermore,
Quantile
Autoregressive
Distributed
Lag
(QARDL)
Granger
Causality
(QGC)
approaches
are
employed
for
robustness
checks.
The
NARDL
results
indicate
that
positive
shocks
in
TI
decrease
emissions,
whereas
negative
increase
Positive
RE
also
while
no
effect.
In
contrast,
FFE
but
even
stronger
effect,
resulting
almost
double
emissions
over
time.
These
findings
confirm
presence
asymmetry,
as
regressors
clearly
influence
Algeria.
Moreover,
from
causality
analysis
TI,
RE,
causal
effect
consistent
with
QARDL
QGC
approaches.
Therefore,
it
is
crucial
Algeria
prioritize
investment
sustainable
technology
implement
carbon-neutral
policies
reduce
reliance
encourage
use
cleaner
sources.
shift
towards
green
sector
requires
policymakers
ensure
aligns
development
objectives.
