Sustainability,
Год журнала:
2024,
Номер
16(16), С. 6934 - 6934
Опубликована: Авг. 13, 2024
The
long-term
development
goals
of
most
countries
face
significant
challenges
in
reducing
emissions,
improving
environmental
sustainability,
and
mitigating
the
negative
effects
climate
change.
This
study
looks
at
how
ecological
sustainability
BRICS
is
affected
by
economic
growth,
financial
development,
new
technologies,
renewable
energy
consumption
with
mediating
effect
trade
openness.
covers
years
2004–2023,
it
was
based
on
fixed-effect
models
that
use
static
panel
data.
Data
were
collected
from
World
Development
Indicators
website.
time
frame
for
this
selected
basis
data
availability.
These
findings
show
sources,
technological
innovation,
all
have
a
positive
impact
sustainability.
Nevertheless,
significantly
negatively
impacted
growth.
Furthermore,
openness
functions
as
mediator
between
them.
Based
empirical
evidence,
paper
suggests
nations
seek
sustainable
development.
Moreover,
government
agencies
need
to
accurately
evaluate
connection
emission
reduction
when
formulating
programs
cut
emissions.
Energy Nexus,
Год журнала:
2023,
Номер
9, С. 100180 - 100180
Опубликована: Фев. 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,
Год журнала:
2023,
Номер
2(2), С. 100038 - 100038
Опубликована: Фев. 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.
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
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.
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
