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
Journal of Environmental Science and Economics,
Год журнала:
2023,
Номер
2(1), С. 1 - 16
Опубликована: Фев. 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,
Год журнала:
2023,
Номер
4(2), С. 55 - 65
Опубликована: Март 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,
Год журнала:
2023,
Номер
2(4), С. 100085 - 100085
Опубликована: Июнь 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.
Innovation and Green Development,
Год журнала:
2023,
Номер
2(3), С. 100066 - 100066
Опубликована: Май 3, 2023
The
environmental
challenges
that
have
arisen
as
a
result
of
rapid
economic
growth
become
hindrance
to
social
progress.
This
article
examines
the
effects
energy
consumption,
urbanization,
industrialization,
development,
and
technological
innovations
on
South
Korea's
greenhouse
gas
(GHG)
emissions.
Using
data
from
1990
2021
autoregressive
distributed
lag
(ARDL)
method
for
empirical
investigations,
findings
indicate
fossil
fuel
expansion
all
pose
threat
sustainability
due
their
positive
impact
GHG
In
contrast,
results
suggest
renewable
usage
improve
by
reducing
emissions
in
both
short
long
term.
addition,
were
validated
using
Fully
Modified
Ordinary
Least
Squares
(FMOLS),
Dynamic
(DOLS),
Canonical
Cointegration
Regression
(CCR)
techniques.
most
significant
contribution
is
this
study
provide
various
policy
recommendations
achieving
net
zero
Korea.
Innovation and Green Development,
Год журнала:
2023,
Номер
2(4), С. 100071 - 100071
Опубликована: Май 31, 2023
The
utilization
of
fossil
fuels
and
deforestation
are
the
primary
causes
global
warming
climate
change.
Innovation
is
therefore
essential
to
achieve
green
energy
sustainable
development.
As
part
Paris
Agreement,
Colombia
has
pledged
cut
51%
its
emissions
by
2030
net
zero
2050.
Thus,
present
study
examined
emission
reduction
potential
economic
growth,
renewable
utilization,
globalization,
technological
innovations,
forests
in
employing
Dynamic
Ordinary
Least
Squares
(DOLS)
technique
utilizing
time
series
data
from
1990
2020.
empirical
results
revealed
that
a
rise
growth
connected
with
boost
emissions,
while
consumption
energy,
technical
innovation,
forest
cover
might
Colombia's
carbon
long
run.
Furthermore,
credibility
test
was
conducted
total
greenhouse
gas
as
other
measurements
reduction.
DOLS
stable
applying
fully
modified
least
squares
(FMOLS)
canonical
cointegrating
regression
(CCR)
techniques.
This
article
includes
policy
ideas
aiming
at
low-carbon
economy,
promotion
financing
management
meet
goal
Innovation and Green Development,
Год журнала:
2024,
Номер
3(3), С. 100139 - 100139
Опубликована: Фев. 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.
Abstract
Tourism
serves
as
a
crucial
means
of
funding
national
development
and
ensuring
the
sustainability
local
livelihoods
in
growing
countries
such
Brazil.
Nevertheless,
accelerated
growth
tourism
various
nations
might
lead
to
significant
environmental
consequences
due
heightened
energy
consumption.
This
surge
usage
contributes
exacerbation
global
warming
through
amplified
release
carbon
dioxide
(CO
2
).
In
light
increasingly
evident
impacts
climate
change
on
natural
environment,
multitude
endeavors
have
been
undertaken
with
aim
attaining
ecological
sustainability.
The
objective
this
study
is
examine
dynamic
effects
economic
growth,
consumption,
emissions
Brazil
by
analyzing
time
series
data
spanning
from
1990
2019.
stationarity
was
assessed
application
unit
root
tests,
while
an
autoregressive
distributed
lag
(ARDL)
approach
employed
analyze
relationship
between
components,
accounting
for
both
long-term
short-term
dynamics.
empirical
results
indicate
that
1%
rise
tourist
arrivals
leads
deterioration
causing
respective
increase
CO
1.37%,
1.06%,
0.57%
near
term,
0.72%,
0.62%,
0.16%
long
term.
article
presents
policy
ideas
aimed
at
achieving
neutrality
increasing
utilization
renewable
sources,
simultaneously
fostering
sustainable
enhance
country’s
economy.
Highlights
•This
investigated
tourism-economy-energy-environment
nexus
•The
econometric
analysis
revealed
tourism,
use,
emissions.
offers
suggestions
achieve
neutrality.
Graphical
Global Sustainability Research,
Год журнала:
2024,
Номер
3(1), С. 1 - 24
Опубликована: Янв. 7, 2024
The
aim
of
this
study
was
to
consolidate
current
information
on
the
utilization
Geographic
Information
Systems
(GIS)
and
Remote
Sensing
(RS)
in
agricultural
sector,
with
a
focus
their
role
promoting
evidence-based
policies
practices
enhance
sustainability.
Additionally,
review
sought
identify
challenges
hindering
widespread
adoption
GIS
RS
applications,
particularly
low-
middle-income
nations.
This
employed
methodology
systematic
literature
review.
findings
indicate
that
technology
sector
has
experienced
notable
increase
over
past
few
years.
primary
areas
use
for
have
been
identified
encompass
crop
yield
estimation,
assessment
soil
fertility,
monitoring
cropping
patterns,
evaluation
drought
conditions,
detection
management
pests
diseases,
implementation
precision
agriculture
techniques,
fertilizer
weed
control.
possesses
capacity
augment
sustainability
by
incorporating
spatial
aspect
into
policies.
Furthermore,
potential
facilitating
decision
making
is
expanding.
Given
escalating
peril
climate
change
food
security,
there
exists
heightened
imperative
include
policy
formulation
decision-making
processes
practices.
might
be
beneficial
informing
development
effectively
integrate
sustainable
climate-smart
agriculture.
Journal of Environmental Science and Economics,
Год журнала:
2022,
Номер
1(4), С. 36 - 50
Опубликована: Дек. 19, 2022
Concerns
about
climate
change,
emission
reduction,
and
environmental
sustainability
have
become
crucial
in
accomplishing
long-term
development
goals.
The
present
study
explored
the
dynamic
effects
of
financial
development,
renewable
energy
utilization,
technological
innovation,
economic
growth,
urbanization
on
carbon
dioxide
(CO2)
emissions
India.
This
investigation
quantifies
short-
long-run
dynamics
using
time
series
data
from
1990
to
2020
an
Autoregressive
Distributed
Lag
(ARDL)
model.
outcomes
ARDL
analysis
revealed
a
positive
significant
effect
CO2
In
contrast,
both
coefficients
for
utilization
innovation
are
negative
statistically
significant,
suggesting
that
expanding
these
variables
will
lead
lower
emissions.
findings
were
validated
by
employing
Fully
Modified
Ordinary
Least
Squares
(FMOLS),
Dynamic
(DOLS),
Canonical
Cointegration
Regression
(CCR)
methods.
research
provides
novel
add
current
literature
may
be
special
relevance
policymakers
country
because
role
system
plays
concerns.
Abstract
Bangladesh
is
facing
a
conundrum
in
figuring
out
how
to
improve
public
health
while
simultaneously
reducing
the
environmental
pollution.
To
alleviate
pressure
from
high
healthcare
expenditure
Bangladesh,
management
efforts
quality
of
environment
need
be
developed
with
help
understanding
nexus
between
carbon
emission,
energy
use,
and
expenditure.
In
society
that
experiencing
quick
difficult
problems
due
rising
demand,
current
study
focused
on
evaluating
effects
dioxide
emissions,
fossil
fuel
renewable
use
Bangladesh.
Time
series
data
were
analyzed
year
2000
2020
using
Dynamic
Ordinary
Least
Squares
technique.
The
findings
revealed
1%
increase
emissions
will
by
0.95%
2.67%,
respectively.
Furthermore,
may
result
reduced
1.44%
long
run.
This
article
provides
policy
recommendations
ensure
sustainability
facilities
lowering
emission
research
would
helpful
for
designing
proactive
scheme
counteract
emerging
consequences
pollution
Graphical
