Carbon Research,
Journal Year:
2023,
Volume and Issue:
2(1)
Published: May 18, 2023
Abstract
Uruguay
has
set
a
target
of
becoming
carbon
neutral
by
the
year
2030,
and
this
study
looks
into
role
that
economic
progress,
renewable
energy
utilization,
technological
innovations,
forest
extent
could
play
in
reaching
goal.
The
Dynamic
Ordinary
Least
Squares
(DOLS)
technique
was
applied
to
examine
time
series
data
from
1990
2021.
According
outcomes
DOLS
estimation,
one-percentage-point
boost
growth
is
associated
with
1.16%
increase
CO
2
emissions.
However,
increasing
use
1%
related
reduction
emissions
0.73
percent
over
long
run,
as
indicated
coefficient
being
negative
statistically
significant.
calculated
long-run
innovations
significant,
suggesting
innovation
causes
0.11%
cut
area
notably
which
means
expanding
lessens
0.56%.
empirical
results
show
Uruguay's
economy
grows,
so
do
its
emissions,
but
country
may
get
closer
goal
neutrality
through
growing
energy,
innovation,
sustainable
management.
robustness
verified
utilizing
fully
modified
least
squares
(FMOLS)
canonical
cointegrating
regression
(CCR)
techniques.
In
order
for
reach
article
offers
policy
ideas
centered
on
low-carbon
economy,
promoting
financing
Graphical
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.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(18), P. 13462 - 13462
Published: Sept. 8, 2023
This
study
explores
the
interplay
among
economic
growth,
financial
globalization,
urbanization,
fossil
fuel
consumption,
and
renewable
energy
usage
their
combined
impact
on
load
capacity
factor
in
Mexico.
research
employs
as
a
unique
measure
of
ecological
health,
facilitating
comprehensive
ecosystem
assessment
by
sequentially
evaluating
biocapacity
effects.
Using
time
series
data
spanning
from
1971
to
2018,
this
Autoregressive
Distributed
Lag
(ARDL)
method
analyze
both
long-term
short-term
dynamics
cointegration.
The
findings
reveal
that
usage,
urbanization
reduce
Mexico’s
factor,
thereby
diminishing
environmental
quality.
In
contrast,
adoption
sources
influence
globalization
exhibit
positive
effects
over
long
short
term.
These
outcomes
remain
consistent
even
when
compared
with
alternative
estimation
techniques,
including
dynamic
ordinary
least
squares
(DOLS),
fully
modified
(FMOLS),
canonical
cointegrating
regression
(CCR).
As
priority,
Mexican
policymakers
should
accelerate
transition
sources,
encourage
sustainable
urban
development,
foster
more
ecologically
conscious
agenda.
Furthermore,
promoting
greener
technologies
can
enhance
mitigate
degradation.
Ultimately,
Mexico
establish
an
environment
conducive
expanding
investments
encouraging
cross-border
investments,
enabling
global
trade
services,
cultivating
greater
integration
capital
markets.
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.
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.