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.
Energy and Climate Change,
Journal Year:
2022,
Volume and Issue:
3, P. 100080 - 100080
Published: Aug. 6, 2022
Global
climate
change,
exacerbated
by
greenhouse
gas
(GHG)
emissions,
notably
carbon
dioxide
(CO2)
offers
enormous
risks
to
the
environment,
development,
and
long-term
sustainability.
This
study
looks
at
how
economic
growth,
renewable
energy
utilization,
urbanization,
industrialization,
technological
innovation,
forest
area
might
help
Bangladesh
attain
environmental
sustainability
lowering
CO2
emissions.
The
autoregressive
distributed
lag
(ARDL)
bounds
testing
strategy
was
used
test
time
series
data
from
1990
2019,
followed
Dynamic
Ordinary
Least
Squares
(DOLS)
method.
empirical
findings
reveal
that
industrialization
increase
emissions
in
while
improving
use,
assistance
achieve
reducing
In
addition,
pairwise
Granger
causality
utilized
capture
causal
linkages
between
variables.
article
provides
policy
recommendations
aimed
a
low-carbon
economy,
promoting
sustainable
green
financing
advancement,
management,
accomplish
emission
reduction
Bangladesh.
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
Carbon Research,
Journal Year:
2022,
Volume and Issue:
1(1)
Published: Sept. 26, 2022
Abstract
The
present
study
examined
the
dynamic
effects
of
economic
growth,
renewable
energy
use,
urbanization,
industrialization,
tourism,
agricultural
productivity,
and
forest
area
in
Turkey
to
accomplish
environmental
sustainability
by
lowering
carbon
dioxide
emissions.
Dynamic
Ordinary
Least
Squares
method
was
used
analyze
time
series
data
from
1990
2020.
results
disclosed
that
a
1%
rise
tourism
will
raise
emissions
0.39%,
1.22%,
0.24%,
0.02%
Turkey,
respectively.
Furthermore,
increase
consumption,
might
result
reductions
0.43%,
0.12%,
3.17%,
This
article
made
policy
recommendations
on
low-carbon
economies,
sustainable
green
eco-friendly
climate-smart
agriculture,
management,
all
which
could
help
Graphical
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.
Energy Nexus,
Journal Year:
2022,
Volume and Issue:
7, P. 100113 - 100113
Published: July 15, 2022
Global
climate
change,
exacerbated
by
greenhouse
gas
(GHG)
emissions,
notably
carbon
dioxide
(CO2)
provides
huge
risks
to
the
environment,
development,
and
sustainability.
This
study
empirically
investigated
dynamic
impacts
of
economic
growth,
fossil
fuel
energy
use,
renewable
agricultural
productivity
on
CO2
emissions
in
Nepal.
Time
series
data
from
1990
2019
were
utilized
applying
autoregressive
distributed
lag
(ARDL)
bounds
testing
approach
followed
Dynamic
Ordinary
Least
Squares
(DOLS)
method.
The
ARDL
test
revealed
evidence
cointegration
among
variables.
DOLS
findings
that
an
increase
growth
use
1%
for
each
variable
would
0.61%
0.67%,
respectively.
Conversely,
a
may
lead
reduction
3.65%
0.41%
long
run.
estimated
results
are
robust
alternative
estimators
such
as
fully
modified
least
squares
(FMOLS)
canonical
cointegrating
regression
(CCR).
In
addition,
pairwise
Granger
causality
was
capture
causal
linkage
between
article
put
forward
policy
recommendations
aimed
at
sustainable
development
establishing
strong
regulatory
instruments
reduce
environmental
degradation.
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.