Energy Reports,
Journal Year:
2023,
Volume and Issue:
10, P. 4318 - 4331
Published: Nov. 1, 2023
This
study
analyzes
the
impact
of
economic
expansion,
fossil
fuel
consumption,
renewable
energy
adoption,
and
health
expenditure
on
carbon
dioxide
(CO2)
emissions
in
Malaysia
from
1990
to
2021.
The
autoregressive
distributed
lag
(ARDL)
method
is
used
examine
short
long-term
consequences.
ARDL
bounds
test
revealed
evidence
cointegration
among
variables
long
run
which
verified
by
Johansen
Engle-Granger
test.
empirical
results
suggest
that
increased
expansion
usage
are
associated
with
higher
CO2
emissions.
In
contrast,
use
linked
lower
term.
Toda-Yamamoto
causality
also
employed
investigate
causal
relationships
between
variables.
recommends
Malaysian
government
invest
green
technology
promote
policies
encourage
sustainable
practices.
A
growth
approach
can
ensure
growth,
mitigate
environmental
challenges,
achieve
development
goals.
Health
initiatives
should
be
prioritized
while
mitigating
damage.
reduce
country's
reliance
fuels,
create
new
employment
opportunities,
contribute
overall
well-being
population.
conclusion,
Malaysia's
has
led
an
increase
demand
However,
adopting
a
investing
energy,
practices,
pave
way
for
prosperous
future.
Innovation and Green Development,
Journal Year:
2023,
Volume and Issue:
2(1), P. 100035 - 100035
Published: Feb. 9, 2023
Emissions
of
greenhouse
gases
(GHG),
and
carbon
dioxide
(CO2)
represent
a
significant
threat
to
environment,
economy,
human
health.
This
article
summarises
the
results
an
empirical
investigation
on
potential
for
economic
growth,
renewable
energy
use,
technical
advancement,
forest
cover
in
Indonesia
reduce
CO2
emissions.
study
utilized
Dynamic
Ordinary
Least
Squares
(DOLS)
approach
analyze
time
series
data
covering
1990–2020.
The
statistics
suggest
that
Indonesia's
emissions
would
increase
by
1.17%
every
1%
development.
Furthermore,
use
may
be
connected
with
1.40%
decrease
emissions,
innovation
0.17%
decrease,
3.94%
estimated
outcomes
are
insensitive
alternative
estimators
such
as
fully
modified
ordinary
least
squares
(FMOLS)
canonical
cointegrating
regression
(CCR).
pairwise
Granger
causality
test
was
employed
capture
causal
relationship
between
variables.
presents
policy
suggestions
achieving
environmental
sustainability
through
reduction
These
policies
emphasize
low-carbon
promoting
financing
ecological
viability
forests.
Energy Nexus,
Journal Year:
2023,
Volume and Issue:
9, P. 100180 - 100180
Published: Feb. 17, 2023
Global
climate
change,
intensified
by
greenhouse
gas
(GHG)
emissions,
particularly
carbon
dioxide
(CO2),
provides
a
massive
threat
to
human
life,
the
environment,
development,
and
sustainability.
Consequently,
reducing
emissions
improving
environmental
conditions
are
now
global
priority
for
promoting
sustainable
growth
preventing
adverse
consequences
of
warming
change.
However,
there
is
paucity
research
employing
econometric
methodologies
investigate
potential
emission
reduction
factors,
in
case
Philippines.
Thus,
present
study
explored
dynamic
effects
economic
growth,
renewable
energy
use,
urbanization,
industrialization,
tourism,
agricultural
productivity,
forest
area
Philippines
order
accomplish
sustainability
lowering
CO2
emissions.
The
Autoregressive
Distributed
Lag
(ARDL)
bounds
testing
approach
Dynamic
Ordinary
Least
Squares
(DOLS)
methodology
were
used
scrutinize
time
series
yearly
data
from
1990
2020.
According
estimates,
1%
rise
tourism
will
raise
0.16%,
1.25%,
0.06%,
0.02%
Philippines,
respectively.
Furthermore,
increase
consumption,
may
result
reductions
1.50%,
0.20%,
3.46%,
pairwise
Granger
causality
test
was
employed
capture
causal
relationships
between
variables.
This
article
policy
implications
on
low-carbon
economies,
green
eco-friendly
climate-smart
agriculture,
management,
all
which
could
help
ensure
Innovation and Green Development,
Journal Year:
2023,
Volume and Issue:
2(2), P. 100038 - 100038
Published: Feb. 20, 2023
This
study
investigated
the
dynamic
effects
of
economic
growth,
renewable
energy
consumption,
urbanization,
industrialization,
tourism,
agricultural
productivity,
and
forest
area
on
carbon
dioxide
(CO2)
emissions
in
Chile.
Using
ordinary
least
squares
(DOLS)
approach,
time
series
data
from
1990
to
2020
were
analyzed.
A
1%
increase
tourism
will
Chile's
CO2
by
0.62%,
0.24%,
0.15%,
0.1%,
respectively.
Additionally,
a
production,
may
lead
emission
reductions
0.55%,
0.20%,
0.98%,
The
estimated
outcomes
are
insensitive
alternative
estimators
such
as
fully
modified
(FMOLS)
canonical
cointegrating
regression
(CCR).
In
order
ensure
environmental
sustainability
through
reductions,
this
article
recommends
policies
low-carbon
economies,
sustainable
green
eco-friendly
climate-smart
agriculture,
management.
World Development Sustainability,
Journal Year:
2023,
Volume and Issue:
2, P. 100059 - 100059
Published: April 2, 2023
Global
climate
change,
exacerbated
by
greenhouse
gas
(GHG)
emissions,
notably
carbon
dioxide
(CO2),
provides
a
huge
danger
to
lives,
the
global
environment,
and
development.
The
current
study
explored
dynamic
effects
of
economic
growth,
fossil
fuel
energy
consumption,
renewable
tourism,
agricultural
productivity
on
CO2
emissions
in
Egypt.
Dynamic
Ordinary
Least
Squares
(DOLS)
method
was
used
analyze
time
series
data
from
1990
2019.
empirical
findings
revealed
that,
while
use
energy,
tourism
contribute
environmental
damage
cumulative
Egypt,
an
increased
share
improved
quality
lowering
emissions.
Similar
results
were
obtained
using
alternative
estimators
such
as
fully
modified
least
squares
(FMOLS)
canonical
cointegrating
regression
(CCR).
Furthermore,
pairwise
Granger
causality
test
determine
causal
relationship
between
variables.
This
adds
literature
putting
light
causes
pollution
article
made
policy
ideas
for
low-carbon
economy,
boosting
green
climate-smart
agriculture,
all
which
would
assure
sustainability
Egypt
Energy Nexus,
Journal Year:
2023,
Volume and Issue:
9, P. 100179 - 100179
Published: Feb. 16, 2023
Global
climate
change
triggered
by
greenhouse
gases
(GHGs)
puts
incomparable
threats
to
the
environment
and
food
security.
Agriculture
is
one
of
key
drivers
environmental
deterioration,
which
linked
GHG
emissions
labeled
ultrasensitive
change.
However,
there
a
scarcity
research
exploring
nexus
between
agriculture
in
Bangladesh.
Thus,
present
study
empirically
investigates
dynamic
impacts
agricultural
land
expansion,
value
added,
crop
production,
livestock
fisheries
energy
use
agriculture,
fertilizer
consumption,
forest
on
Time
series
data
from
1990
2018
were
utilized
employing
Dynamic
Ordinary
Least
Squares
(DOLS)
approach.
The
empirical
findings
reveal
that
1%
increase
land,
production
index,
consumption
will
0.25%,
0.29%,
0.40%,
0.18%,
0.46%,
0.28%
long
run.
Conversely,
added
may
lead
reduction
0.32%
1.44%
estimated
results
are
robust
alternative
estimators
such
as
fully
modified
least
squares
(FMOLS)
canonical
cointegrating
regression
(CCR).
This
contributes
existing
literature
shedding
light
sector
article
put
forward
policy
recommendations
sustainable
climate-smart
would
enhance
productivity
resilience
while
reducing
sector.
Journal of Environmental Science and Economics,
Journal Year:
2023,
Volume and Issue:
2(1), P. 1 - 16
Published: Feb. 20, 2023
New
Zealand
has
set
a
target
of
net
zero
emissions
by
2050,
and
this
study
looks
into
the
role
that
economic
growth,
renewable
energy
use,
technological
innovation,
forests
could
play
in
getting
them
there.
The
Dynamic
Ordinary
Least
Squares
(DOLS)
technique
was
used
to
analyze
time
series
data
from
1990
2021.
According
results
DOLS
estimation,
one-percentage-point
increase
growth
is
associated
with
0.24%
CO2
emissions.
Furthermore,
increasing
use
1%
related
reduction
0.81
percent
over
long
run,
as
indicated
coefficient
being
negative
statistically
significant.
calculated
long-run
technical
innovation
significant,
suggesting
0.02%
forest
area
notably
which
means
reduces
4.78%.
empirical
show
Zealand's
economy
grows,
so
do
its
emissions,
but
country
may
get
closer
goal
carbon
neutrality
through
growing
energy,
sustainable
management.
Alternative
estimators,
such
fully
modified
least
squares
(FMOLS)
canonical
cointegrating
regression
(CCR),
not
significantly
affect
estimated
results.
In
order
for
reach
article
offers
policy
ideas
centered
on
low-carbon
economy,
promotion
sources,
financing
progress,
management.
Electronic Journal of Education Social Economics and Technology,
Journal Year:
2023,
Volume and Issue:
4(2), P. 55 - 65
Published: March 2, 2023
There
have
been
variances
in
environmental
quality
as
the
globe
continues
to
become
a
globalized
society,
however,
research
including
trade
globalization
into
policy
framework
remains
inconclusive.
Using
Uruguayan
time
series
dataset
between
1990
and
2020,
this
study
investigated
impact
of
economic
growth,
natural
resource
rents,
globalization,
financial
development
on
carbon
dioxide
(CO2)
emissions.
an
Autoregressive
Distributed
Lag
(ARDL)
model,
inquiry
quantifies
short-
long-run
dynamics.
The
results
ARDL
bounds
test
indicate
long-term
relationship
emissions
these
variables.
Additionally,
short-and
analyses
demonstrated
positive
statistically
significant
effect
Uruguay's
CO2
However,
both
short-run
coefficients
are
negative,
indicating
that
has
no
deterioration
Uruguay.
Furthermore,
by
using
Fully
Modified
Ordinary
Least
Squares
(FMOLS),
Dynamic
(DOLS),
Canonical
Cointegration
Regression
(CCR),
findings
were
confirmed.
Based
study,
it
is
recommended
international
regulations
be
reevaluated
export
limitations
for
goods
with
high
levels
pollution
strengthened.
Innovation and Green Development,
Journal Year:
2023,
Volume and Issue:
2(4), P. 100085 - 100085
Published: June 27, 2023
Global
warming
and
climate
change
are
caused
by
anthropogenic
greenhouse
gas
(GHG)
emissions
from
rising
energy
consumption
due
to
population
economic
growth.
Over
the
past
decade,
information
communication
technology
(ICT)
usage
has
increased
which
may
increase
utilization
GHG
emissions.
Conversely,
ICT's
clean
technologies
can
minimize
pollution.
Therefore,
this
study
investigated
dynamic
influences
of
ICT,
growth,
population,
use
on
in
Malaysia
employing
autoregressive
distributed
lag
(ARDL)
approach
using
data
1990
2021.
The
results
ARDL
bounds
test
indicated
existence
a
long-run
link
between
variables.
revealed
that
1%
number
Internet
users
could
0.013%
short
run
but
cut
0.077%
long
run.
Additionally,
have
positive
association
with
robustness
outcomes
been
checked
Fully
Modified
Ordinary
Least
Squares
(FMOLS),
Dynamic
(DOLS),
Canonical
Cointegration
Regression
(CCR)
methods.
This
article
offers
additional
policy
proposals
for
emission
reduction
sustainable
development
promoting
renewable
financing
green
ICT.