Innovation and Green Development,
Journal Year:
2024,
Volume and Issue:
3(3), P. 100139 - 100139
Published: Feb. 15, 2024
Global
climate
change
triggered
by
the
escalating
carbon
dioxide
(CO2)
emissions
resulting
from
heightened
economic
expansion
and
consumption
of
energy
represents
foremost
environmental
concern
in
contemporary
global
context.
China
is
accountable
for
nearly
27%
total
CO2
emissions,
making
it
largest
emitter
worldwide.
This
study
explores
consequences
outgrowth,
fossil
fuel,
renewable
utilization
on
China's
CO2.
The
utilized
an
autoregressive
distributed
lag
(ARDL)
model
to
analyze
annual
data
1965
2022.
ARDL
bounds
test
results
indicate
presence
long-term
cointegration
among
variables.
empirical
specify
that
a
1%
growth
fuels
economy
leads
4.97%
0.58%
emissions.
In
short
term,
these
increases
amount
2.42%
1.21%,
respectively.
Conversely,
enhancement
could
result
reduction
1.39%,
whereas
would
be
0.50%.
proposes
policy
suggestions
attainment
sustainable
development
neutrality.
Journal of Environmental Science and Economics,
Journal Year:
2022,
Volume and Issue:
1(4), P. 1 - 11
Published: Oct. 1, 2022
Greenhouse
gas
(GHG) emissions,
especially
carbon
dioxide
(CO2)
emissions,
contribute
significantly
to
global
climate
change,
which
in
turn
threatens
the
environment,
development,
and
sustainability.
The
current
study
examines
nexus
between
Russia's
energy
consumption,
industrialization,
forest
cover
terms
of
country's
total
CO2
emissions.
Autoregressive
Distributed
Lag
(ARDL)
bounds
testing
technique
Dynamic
Ordinary
Least
Squares
(DOLS)
methodology
were
used
examine
time
series
data
from
1990
2020.
Evidence
cointegration
variables
was
found
using
ARDL
test.
An
increase
1%
consumption
industrialization
is
predicted
result
an
1.3%
0.23%
emissions
Russia.
In
addition,
it
has
been
estimated
that
a
area
might
lead
4.29%
reduction
long
run.
This
article
proposed
policies
reduce
Russia
assure
environmental
sustainability
through
use
renewable
sources,
green
industry,
sustainable
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
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.
Energy Nexus,
Journal Year:
2022,
Volume and Issue:
8, P. 100148 - 100148
Published: Sept. 29, 2022
Global
climate
change,
aggravated
by
greenhouse
gas
(GHG)
emissions,
particularly
emissions
from
carbon
dioxide
(CO2),
poses
significant
threats
to
the
environment,
development,
and
sustainability.
Mexico
is
a
prominent
tourist
country
experiencing
continuous
economic
growth,
rapid
urbanization,
agricultural
productivity
which
causing
higher
energy
consumption
CO2
emissions.
The
current
research
explores
dynamic
effects
of
fossil
fuel
use,
renewable
tourism,
on
in
Mexico.
Time
series
data
1990
2019
were
analyzed
using
Dynamic
Ordinary
Least
Squares
(DOLS)
method.
According
estimations,
1%
rise
tourism
will
raise
0.45%,
1.77%,
0.10%
0.04%.
Furthermore,
increase
may
result
reductions
0.66%
0.20%.
This
article
put
forward
policy
recommendations
areas
low-carbon
economy,
promoting
sustainable
eco-friendly
climate-smart
agriculture
would
ensure
environmental
sustainability
reducing
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
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.