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
Journal of Technology Innovations and Energy,
Journal Year:
2022,
Volume and Issue:
1(4), P. 25 - 36
Published: Dec. 20, 2022
Although
the
effects
on
environmental
quality
have
not
yet
been
extensively
studied,
some
studies
demonstrate
that
renewable
energy,
remittances,
and
technical
innovation
contribute
to
a
country's
socioeconomic
development.
In
light
of
this,
current
study
utilizes
annual
data
from
1990
2020
evaluate
impact
carbon
dioxide
(CO2)
emissions
in
China.
By
using
autoregressive
distributed
lag
(ARDL)
bounds
testing,
research
was
able
reveal
persistent
associations
between
CO2
regressors.
Long-
short-run
ARDL
results
also
demonstrated
rise
alongside
economic
development,
but
advancement
help
lower
The
reliability
these
determined
fully
modified
ordinary
least
squares
(FMOLS),
dynamic
square
(DOLS),
canonical
cointegrating
regression
(CCR).
significant
determining,
several
policy
suggestions
are
proposed.
Global Sustainability Research,
Journal Year:
2022,
Volume and Issue:
1(2), P. 12 - 21
Published: Nov. 9, 2022
Industrialization,
urbanization,
population
growth,
and
changes
in
lifestyle
have
all
contributed
to
a
rise
the
OECD
countries'
risk
of
global
warming.
The
amount
carbon
dioxide
(CO2)
generated
from
heat
power
sources
put
out
is
directly
related
how
much
electricity
they
make.
Finding
which
are
bad
for
environment,
not
primary
motivation
behind
this
study.
impact
different
approaches
energy
production
on
emissions
analyzed
using
data.
data
Quantile
Regression
(QR),
Generalized
Method
Moments
(GMM),
Pooled
Ordinary
Least
Squares
(OLS).
study
found
that
CO2
were
significantly
impacted
positive
direction
when
was
coal,
oil,
or
gas.
coal-fired
plants
most
detrimental.
generation
hydroelectricity
other
forms
renewable
can
reduce
regression
models.
compelling
evidence
correlation
between
uncovered
In
order
produce
credible
findings,
paper
used
both
QR
GMM
methods.
Important
implications
environmental
policy
drawn
article's
findings.
Both
required
lessen
our
reliance
fossil
fuels
promote
development
like
solar,
wind,
hydroelectricity.
Journal of Environmental Science and Economics,
Journal Year:
2023,
Volume and Issue:
2(1), P. 25 - 36
Published: March 24, 2023
Bangladesh
receives
the
second-most
foreign
direct
investment
in
South
Asia.
Over
past
30
years,
Bangladesh's
economy
has
expanded
tremendously
because
of
increased
from
several
countries.
Although
it
can
be
beneficial
certain
ways
including
generation
new
jobs,
improvement
infrastructure,
and
equalization
economic
rewards
across
population;
unintended
consequences,
such
as
ecological
damage.
In
light
this,
is
worth
exploring
effects
on
sustainable
development
Bangladesh.
Using
most
up-to-date
annual
data
between
1990
2019,
this
study
investigated
evidence
Environmental
Kuznets
Curve
Pollution
Haven
Hypothesis
To
assess
growth,
investment,
energy
use,
trade
carbon
dioxide
emissions,
research
employed
autoregressive
distributed
lag
method.
The
empirical
results
indicated
that
country
an
inverted
U-shaped
adverse
impact
environment
confirmed
validity
paint
a
bleak
picture,
sounding
alarm
for
policymakers
to
pay
closer
attention
which
leads
emissions
how
multinational
companies
operating
within
worsen
situation.
That's
why
it's
important
subject
investors
stringent
environmental
regulations.
addition,
nation's
expansion
should
guided
by
goals.
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
