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
Journal of Environmental Science and Economics,
Год журнала:
2022,
Номер
1(4), С. 1 - 11
Опубликована: Окт. 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,
Год журнала:
2023,
Номер
2, С. 100059 - 100059
Опубликована: Апрель 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,
Год журнала:
2022,
Номер
2, С. 100009 - 100009
Опубликована: Янв. 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,
Год журнала:
2022,
Номер
3, С. 100032 - 100032
Опубликована: Окт. 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,
Год журнала:
2022,
Номер
8, С. 100148 - 100148
Опубликована: Сен. 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
Energy Nexus,
Год журнала:
2023,
Номер
9, С. 100179 - 100179
Опубликована: Фев. 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,
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.