International Journal of Energy Research,
Journal Year:
2023,
Volume and Issue:
2023, P. 1 - 14
Published: March 31, 2023
Considering
relatively
high
but
recently
decreasing
environmental
quality
in
the
LAC
countries
with
regard
to
world,
this
study
uncovers
progress
of
quality,
which
is
proxied
by
load
capacity
factor
(LCF).
In
context,
considers
renewable
energy,
trade
openness,
income,
and
globalization
as
explanatory
indicators;
uses
data
from
1990
2018;
applies
pooled
mean
group
autoregressive
distributed
lag
(PMG-ARDL)
approach
main
model;
performs
panel
Toda-Yamamoto
(PTY)
causality
test
robustness
model.
This
important
because
have
ecological
reserves,
whereas
many
an
deficit.
For
reason,
investigation
has
significance
for
world.
Also,
novelty
terms
examining
using
LCF
quality.
The
results
present
that
(i)
energy
improving
impact
on
both
short
run
long
run;
(ii)
openness
a
stimulating
(iii)
however,
economic
growth
degrading
run.
Hence,
it
can
be
drawn
critical
preserving
developing
line
empirical
findings,
proposed
should
utilize
effectively,
improve
volume
through
increase
technology
import,
expand
use
foreign
activities.
Thus,
effective
policies
promote
achievement
sustainable
development
goals
(SDGs)
countries.
Energy Nexus,
Journal Year:
2022,
Volume and Issue:
8, P. 100144 - 100144
Published: Sept. 19, 2022
Greenhouse
gases
(GHGs)
emissions,
notably
carbon
dioxide
(CO2)
emissions
are
causing
global
climate
change,
which
poses
enormous
hazards
to
human
life,
the
environment,
development,
and
sustainability.
Bangladesh
is
predominantly
an
agricultural
country
experiencing
continuous
economic
growth
rapid
urbanization
higher
energy
consumption
CO2
emissions.
The
present
study
empirically
explores
nexus
between
growth,
use,
urbanization,
productivity,
in
Bangladesh.
Time
series
data
from
1972
2018
were
utilized
by
employing
Dynamic
Ordinary
Least
Squares
(DOLS)
approach.
Autoregressive
Distributed
Lag
(ARDL)
bounds
test
revealed
evidence
of
cointegration
among
variables
long
run
has
been
verified
Johansen
Engle-Granger
test.
empirical
findings
reveal
that
reduced
productivity
increase
estimated
results
robust
alternative
estimators
such
as
fully
modified
least
squares
(FMOLS),
canonical
cointegrating
regression
(CCR).
In
addition,
pairwise
Granger
causality
capture
causal
linkage
variables.
This
adds
current
body
knowledge
shining
light
on
factors
contribute
environmental
degradation
article
put
forward
policy
recommendations
aimed
at
sustainable
development
establishing
strong
regulatory
instruments
reduce
degradation.
Cleaner Production Letters,
Journal Year:
2022,
Volume and Issue:
3, P. 100008 - 100008
Published: June 8, 2022
Emissions
reduction
and
increasing
environmental
quality
have
become
a
global
concern
to
ensure
sustainable
development
mitigate
the
negative
impacts
of
warming
climate
change.
However,
there
is
scarcity
research
exploring
potential
emission
components
by
using
econometric
approaches.
Thus,
present
study
investigated
role
economic
growth,
fossil
fuel
energy
use,
renewable
technological
innovation,
agricultural
productivity,
forested
area
achieve
sustainability
reducing
carbon
dioxide
emissions
in
Indonesia.
Time
series
data
from
1990
2020
were
utilized
applying
Dynamic
Ordinary
Least
Squares
method.
The
empirical
findings
revealed
that
1%
increase
growth
use
will
0.36%
0.67%
Conversely,
may
lead
0.11%,
0.07%,
0.24%,
2.87%,
respectively
long
run.
This
article
put
forward
policy
recommendations
areas
low-carbon
economy,
promoting
financing
climate-smart
agriculture,
forest
management
which
would
Sustainability Analytics and Modeling,
Journal Year:
2022,
Volume and Issue:
2, P. 100009 - 100009
Published: Jan. 1, 2022
Singapore
is
a
foremost
tourist
destination
country
experiencing
continuous
economic
growth
and
rapid
urbanization
which
causing
higher
energy
consumption
carbon
dioxide
(CO2)
emissions.
This
study
aims
to
investigate
the
dynamic
impacts
of
growth,
use,
urbanization,
tourism
on
CO2
emissions
in
Singapore.
Time
series
data
from
1990
2019
were
utilized
by
employing
ordinary
least
squares
(DOLS)
approach.
The
DOLS
findings
show
that
long-run
coefficient
negative
significant,
indicating
1%
rise
will
result
0.99%
reduction
Furthermore,
use
positive
significant
reveals
an
increasing
linked
with
rising
0.52%
long
run.
In
addition,
implying
causes
1.90%
increase
Moreover,
specifies
activities
associated
0.45%
estimated
results
are
robust
alternative
estimators
such
as
(OLS),
fully
modified
(FMOLS),
canonical
cointegrating
regression
(CCR).
pairwise
Granger
causality
test
was
capture
causal
linkage
between
variables.
article
put
forward
policy
recommendations
toward
environmental
sustainability
establishing
strong
regulatory
instruments
reduce
degradation.
Cleaner Energy Systems,
Journal Year:
2022,
Volume and Issue:
3, P. 100032 - 100032
Published: Oct. 23, 2022
Global
climate
change
caused
by
Greenhouse
gases
(GHGs),
particularly
carbon
dioxide
(CO2)
emissions,
poses
incomparable
threats
to
the
environment,
development,
and
sustainability.
This
research
investigates
potential
of
economic
growth,
renewable
energy
use,
technological
innovation
achieve
environmental
sustainability
reducing
CO2
emissions
in
Bangladesh.
Time
series
data
from
1980
2019
were
utilized
applying
autoregressive
distributed
lag
(ARDL)
bounds
testing
approach
followed
Dynamic
Ordinary
Least
Squares
(DOLS)
method.
The
DOLS
estimate
findings
show
that
long-run
coefficient
growth
is
positive
significant
with
indicating
a
1%
increase
related
1.3%
rise
emissions.
Furthermore,
use
negative
significant,
which
indicates
increasing
associated
reduction
0.15%
long
run.
In
addition,
estimated
but
not
implying
results
0.07%
empirical
reveal
increases
Bangladesh
while
increased
help
are
robust
alternative
estimators
such
as
fully
modified
least
squares
(FMOLS)
canonical
cointegrating
regression
(CCR).
pairwise
Granger
causality
test
capture
causal
linkage
between
variables.
article
provides
policy
recommendations
aimed
at
low-carbon
economy,
promoting
financing
advancement,
emission