Abstract
Carbon
dioxide
(CO
2
),
whose
atmospheric
volume
has
been
increasing,
is
the
principal
greenhouse
gas
(GHG)
that
causes
global
warming
and
climate
change.
Climate
change
from
increasing
gases
(GHGs)
broad
health
environmental
influences.
Human-emitted
GHGs
constitute
a
significant
cause
of
warming.
The
main
objective
this
article
to
assess
influence
technological
innovation,
economic
growth,
fossil
energy
use,
renewable
consumption,
globalisation
on
CO
emissions
Es)
in
South
Africa
over
observation
period
1990–2020.
Dynamic
Ordinary
Least
Squares
(DOLS)
estimator
was
implemented
examine
relationship
between
constituents.
study
results
indicate
boost
Es,
whereas
consumption
reduces
Es.
output
canonical
cointegrating
regression
fully
modified
least
squares
estimators
also
supports
DOLS
estimator.
We
concluded
that,
Africa,
rise
an
upsurge
In
contrast,
increase
leads
reduction
This
research
work
contributes
discourse
Es
African
context.
recommends
policymakers
should
design
policies
foster
formation
low-carbon
country,
energy,
implementation
environment-friendly
innovations
reduce
use
energy.
Graphical
Sustainability,
Год журнала:
2023,
Номер
15(18), С. 13462 - 13462
Опубликована: Сен. 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.
Renewable energy focus,
Год журнала:
2023,
Номер
47, С. 100491 - 100491
Опубликована: Сен. 10, 2023
This
study
estimates
the
effects
of
gross
domestic
product
(GDP),
population,
renewable
energy
consumption,
fossil
fuels,
and
foreign
direct
investment
(FDI)
on
Kenya's
carbon
emissions
by
considering
time
series
data
from
1972
to
2021.
investigation
makes
use
"Autoregressive
Distributed
Lag
(ARDL)"
method,
which
is
grounded
in
theoretical
framework
"Stochastic
Impacts
Regression
Population,
Affluence,
Technology"
model
known
as
STIRPAT
model.
According
empirical
results,
variables
have
long-run
cointegration.
lends
credence
earlier
research
demonstrating
that
a
rise
GDP
population
can
increase
country's
CO2
emissions.
All
estimation
methods
used
this
also
demonstrated
growth
has
negative
impact
emissions,
while
positive
effect
long
run.
In
context
ARDL,
fuels
but
not
statistically
significant.
Achieving
sustainable
development
required
significant
investments
infrastructure
because
reduces
Based
these
findings,
policymakers
make
informed
decisions
about
energy.
Energies,
Год журнала:
2023,
Номер
16(15), С. 5845 - 5845
Опубликована: Авг. 7, 2023
As
the
sustainability
of
environment
is
a
very
much
concerning
issue
for
developed
countries,
drive
paper
to
reveal
effects
nuclear,
environment-friendly,
and
non-friendly
energy,
population,
GDP
on
CO2
emission
Italy,
country.
Using
extended
Stochastic
Regression
Population,
Affluence,
Technology
(STIRPAT)
framework,
yearly
data
from
1972
2021
are
analyzed
in
this
through
an
Autoregressive
Distributed
Lag
(ARDL)
framework.
The
reliability
study
also
examined
by
employing
Fully
Modified
Ordinary
Least
Square
(FMOLS),
Dynamic
(DOLS),
Canonical
Cointegration
(CCR)
estimators
Granger
causality
method
which
used
see
directional
relationship
among
indicators.
investigation
confirms
findings
previous
studies
showing
that
longer
period,
rising
Italian
non-green
energy
1%
can
lead
higher
emissions
8.08%
1.505%,
respectively,
while
alternative
nuclear
falling
0.624%.
Although
population
green
adversely
influence
upsurge
CO2,
they
seem
insignificant.
Robustness
tests
confirm
these
longer-period
impacts.
This
analysis
may
be
helpful
planning
developing
strategies
future
financial
funding
sector
essential
if
country
achieve
its
goals
sustainable
development.
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.
Energies,
Год журнала:
2023,
Номер
16(17), С. 6198 - 6198
Опубликована: Авг. 25, 2023
This
study
intends
to
shed
light
on
the
environmental
impacts
of
energy
decisions
in
South
Korea
by
analyzing
correlation
between
consumption
patterns
and
indicators
such
as
carbon
dioxide
emissions.
In
2021,
global
CO2
emissions
increased
6%—to
highest
ever
level
36.3
billion
tons—according
International
Energy
Agency
(IEA).
increase
is
a
big
problem
for
all
countries
around
world.
The
aim
this
article
an
analyze
impact
fossil
fuels,
renewable
energy,
nuclear
Korea’s
environment
based
STIRPAT
(stochastic
regression
population,
affluence,
technology)
model.
Exploring
intricate
nexus
economic
outcomes,
employs
model
influence
GDP,
population
dynamics,
environment.
yearly
data
from
1972
2021
are
analyzed
paper
using
autoregressive
distributed
lag
(ARDL)
reliability
also
examined
employing
FMOLS
(fully
modified
ordinary
least
squares)
CCR
(canonical
cointegrating
regression)
estimators.
confirms
findings
previous
research
showing
that
rising
GDP
can
lead
higher
strategy
switching
cut
down
Korea,
it
exhibits
coefficient
−0.085
*.
robustness
results
CCR’s
support
baseline
ARDL
findings.
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.
Energy Reports,
Год журнала:
2023,
Номер
10, С. 4318 - 4331
Опубликована: Ноя. 1, 2023
This
study
analyzes
the
impact
of
economic
expansion,
fossil
fuel
consumption,
renewable
energy
adoption,
and
health
expenditure
on
carbon
dioxide
(CO2)
emissions
in
Malaysia
from
1990
to
2021.
The
autoregressive
distributed
lag
(ARDL)
method
is
used
examine
short
long-term
consequences.
ARDL
bounds
test
revealed
evidence
cointegration
among
variables
long
run
which
verified
by
Johansen
Engle-Granger
test.
empirical
results
suggest
that
increased
expansion
usage
are
associated
with
higher
CO2
emissions.
In
contrast,
use
linked
lower
term.
Toda-Yamamoto
causality
also
employed
investigate
causal
relationships
between
variables.
recommends
Malaysian
government
invest
green
technology
promote
policies
encourage
sustainable
practices.
A
growth
approach
can
ensure
growth,
mitigate
environmental
challenges,
achieve
development
goals.
Health
initiatives
should
be
prioritized
while
mitigating
damage.
reduce
country's
reliance
fuels,
create
new
employment
opportunities,
contribute
overall
well-being
population.
conclusion,
Malaysia's
has
led
an
increase
demand
However,
adopting
a
investing
energy,
practices,
pave
way
for
prosperous
future.
Journal of Technology Innovations and Energy,
Год журнала:
2023,
Номер
2(3), С. 37 - 63
Опубликована: Сен. 19, 2023
The
rising
usage
of
fossil
fuels
increases
greenhouse
gas
(GHG)
emissions,
leading
to
global
climate
change.
Thus,
addressing
environmental
challenges
requires
a
widespread
switch
from
renewable
energy.
Renewable
energy
reduces
GHG
extreme
weather,
and
change
while
boosting
efficiency.
Indonesia
ranks
among
Asia-Pacific's
top
five
producers.
Indonesia,
vast
country
with
abundant
natural
resources,
has
seen
rise
in
demand
as
consumption
increased.
this
study
examines
Indonesia's
sustainable
technologies'
existing
position,
possibilities,
future
improvements.
With
420
gigawatts
(GW)
theoretical
capacity,
great
potential.
This
capacity
includes
208
GW
solar,
75
hydro,
61
wind,
33
biofuel,
24
geothermal,
19
micro-hydro.
need
increase
is
driven
by
economic
growth
laws.
review
expected
guide
research
on
technology
Indonesia.
would
energy-related
policies,
particularly
ones,
meet
demands
goals.