International Journal of Sustainable Transportation,
Год журнала:
2024,
Номер
18(11), С. 920 - 934
Опубликована: Ноя. 4, 2024
This
study
explores
the
dynamic
effects
of
road
transportation
infrastructure,
transport
taxes,
economic
growth,
trade
openness,
and
environmental
technologies
on
ecological
footprint
using
three
quantile
regression
techniques:
Simultaneous,
Powell,
Method
Moments
Quantile
Regression
(MMQR).
These
variables
are
selected
for
their
significant
influence
both
outcomes
sustainability,
reflecting
interconnectedness
systems,
government
policies,
technological
advancements
in
shaping
impacts.
Based
panel
data
from
19
European
countries
between
1995
2020,
results
reveal
that
investments
infrastructure
higher
taxes
contribute
to
reducing
footprint.
At
middle
high
quantiles,
environment-related
further
decrease
footprint,
whereas
openness
tends
worsen
quality.
Importantly,
relationship
GDP
follows
an
inverted
U-shape,
confirming
Environmental
Kuznets
Curve
(EKC)
hypothesis
across
all
which
suggests
growth
can
support
sustainability
long
run.
findings
validated
by
robustness
checks
fully
modified
ordinary
least
squares
(FMOLS),
(DOLS),
canonical
cointegration
(CCR)
models.
Key
policy
implications
include
need
targeted
tax
strategies,
tailored
national
contexts,
along
with
technology-driven
strategies
curb
degradation.
Lastly,
causality
test
reveals
unidirectional
highlighting
significance
as
short-term
contributors
improvement.
International Journal of Green Energy,
Год журнала:
2024,
Номер
unknown, С. 1 - 14
Опубликована: Окт. 14, 2024
In
an
era
where
energy
transitions
are
critical
for
addressing
climate
change
and
ensuring
economic
stability,
policy
uncertainty
(EGU)
emerges
as
a
crucial
factor
influencing
consumption
patterns.
This
study
investigates
the
complex
relationship
between
EGU
various
forms
of
consumption,
including
fossil
fuels,
renewables,
total
use
across
G7
countries
from
1996
to
2022.
Utilizing
FMOLS
(fully
modified
OLS)
DOLS
(dynamic
ordinary
models,
long-term
relationships
among
variables
were
established
robustness
was
checked
by
employing
ARDL
(autoregressive
distributed
lag)
model.
Our
findings
reveal
that
significantly
hampers
fuel
impedes
renewable
uptake,
affects
adversely.
These
effects
underscore
broader
implications
on
strategies.
Specifically,
checks
confirm
these
hold
different
model
specifications
periods.
addition,
analysis
reveals
dynamic
impact
control
FDI
inflow,
institutional
quality,
banking
development,
inflation
rates
specific
consumptions.
Policy
profound:
governments
must
prioritize
stabilization
policies
enhance
investor
confidence
facilitate
transition
sustainable
sources.
Additionally,
targeted
interventions
mitigate
can
promote
development
infrastructure
support
more
predictable
markets.
provides
new
insights
into
impacts
offers
foundation
strategic
formulation
aimed
at
achieving
balanced
future.
International Journal of Sustainable Development & World Ecology,
Год журнала:
2024,
Номер
31(7), С. 848 - 860
Опубликована: Апрель 8, 2024
The
growing
societal
concern
regarding
environmental
matters
has
led
to
the
implementation
of
many
measures
intended
protect
environment
and
address
global
warming
by
lessening
emissions
mitigating
climate
change.
In
line
with
this
movement,
study
scrutinizes
impact
these
on
greenhouse
gas
(GHG)
analyze
cases
Finland
Sweden.
More
specifically,
employs
Environmental
Policy
Stringency
(EPS)
index
as
a
proxy
for
measures,
explores
sector-specific
GHG
employing
nonlinear
quantile-based
methodologies
(including
quantile-on-quantile
regression
Granger
causality-in-quantiles
methods
primary
model
quantile
robustness
checking)
spanning
period
from
1991/Q1
2020/Q4.
findings
show
that:
(i)
EPS
lessens
fuel
exploitation,
industrial
combustion,
power
industry
sector
at
lower
middle
quantiles
in
Sweden;
(ii)
decreases
processes,
transportation,
waste
sectors
but
increases
them
Sweden
higher
quantiles;
(iii)
leads
an
increase
agriculture
construction
(iv)
causal
effect
across
different
(v)
is
largely
confirmed.
Hence,
underscores
varying
impacts
sectoral
based
quantiles,
sectors,
countries,
emphasizing
need
policymakers
adopt
policies
comprise
differences
adjust
policy
framework
accordingly.
Environmental and Sustainability Indicators,
Год журнала:
2024,
Номер
23, С. 100447 - 100447
Опубликована: Июль 29, 2024
The
world
has
witnessed
serious
climate-related
problems.
Even
though
there
are
various
effective
factors
in
this
point,
sustainable
resource
consumption
takes
place
among
critical
that
have
been
deeply
affecting
climate
change.
Accordingly,
Sustainable
Development
Goals
(SDGs)
8–12
come
to
the
fore
for
all
related
parties
due
directly
use.
Among
all,
Gulf
Cooperation
Council
(GCC)
countries
a
special
position
terms
of
global
change-related
goals
because
they
high
oil
and
consumption.
Hence,
study
firstly
attempts
investigate
validity
environmental
Kuznets
curve
(EKC)
hypothesis
material
footprint
(MAF)
GCC
by
analyzing
impact
income,
energy
consumption,
financial
institution
development,
technological
performing
augmented
mean
group
model,
using
data
period
2000–2019.
findings
show
(i)
EKC
is
valid
panel,
whereas
it
case
only
Oman
on
country
basis;
(ii)
increases
(decreases)
MAF
at
panel
(Qatar);
(iii)
development
does
not
affect
while
causes
an
increase
Saudi
Arabia;
(iv)
reduces
Bahrain,
Kuwait,
Arabia
basis.
Thus,
results
highlight
need
focus
both
income
level
achieve
targets
SDGs
decreasing
resource-based
This
study
empirically
investigates
the
sustainable
environment
in
Lebanon.
In
this
context,
uses
ecological
footprint
(EFP)
as
leading
environmental
proxy,
while
load
capacity
factor
(LCF)
is
used
for
robustness
check.
Also,
considers
some
critical
factors
(namely,
income,
population,
disaggregated
level
electricity
consumption,
and
energy
transition)
explanatory
variables,
applies
a
marginal
effect
analysis
through
Kernel-Based
Least
Squares
(KRLS)
approach,
data
between
2000
2022.
The
empirical
results
show
that
(i)
1%
increase
hydroelectricity,
transition
causes
0.09%,
0.17%,
0.03%,
0.80%
EFP,
order;
(ii)
fossil
renewable
consumption
do
not
have
statistically
significant
effect;
(iii)
almost
all
variables
considered
varying
across
percentiles;
(iv)
KRLS
higher
estimation
around
96.7%;
(v)
are
robust
case
of
alternative
indicator
(i.e.,
LCF)
use.
Thus,
highlights
factors'
percentile-based
differentiating
effects,
only
hydroelectricity
has
declining
on
degradation.
Considering
results,
discusses
policy
options
Lebanon
ensuring
environment.
