Discover Sustainability,
Год журнала:
2024,
Номер
5(1)
Опубликована: Дек. 2, 2024
Domestic
credits
to
the
private
sector
have
played
a
significant
role
in
reducing
CO2
emissions
various
developing
and
developed
countries.
This
study
aims
investigate
whether
domestic
similar
impact
on
sample
of
34
selected
African
countries
spanning
from
2000
2020.
Utilizing
method
moment
quantiles
regression
(MM_QR),
we
incorporated
variables
such
as
economic
growth,
natural
resource
rents,
renewable
energy
consumption,
trade
into
our
model.
The
results
indicate
that
lead
an
increase
across
all
(10–90th).Moreover,
growth
are
linked
increased
quantiles.
findings
reveal
asymmetric
relationship
between
resources
rent
emissions,
with
reduction
at
lower
higher
In
contrary,
consumption
demonstrates
consistent
These
robust
panel
corrected
standard
error
(PCSE).
policy
implications
for
governments
enact
sustainable
practices
sector,
offering
tax
incentives
businesses
embracing
green
technologies.
Investing
financial
development
promote
switching
fossil
fuels
important
curb
emissions.
measures
will
further
reduce
help
achieve
net
zero
region
by
2050.
Journal of Economy and Technology,
Год журнала:
2024,
Номер
unknown
Опубликована: Июнь 1, 2024
This
study
examines
the
impact
of
digital
economy,
technological
innovation,
financial
accessibility,
and
urbanization
on
CO2
emissions
in
G-7
region
from
1990
to
2019.
The
analysis
employed
Cross-Sectional
Dependence
(CSD)
Slope
Homogeneity
tests,
revealing
presence
CSD
issues
heterogeneous
slope
coefficients.
First-
second-generation
panel
unit
root
tests
indicated
no
problem
within
dataset,
with
variables
showing
mixed
integration
orders.
Panel
cointegration
confirmed
that
are
cointegrated
over
long
run.
To
assess
short-run
long-run
impacts
explanatory
emissions,
utilized
Autoregressive
Distributed
Lag
(ARDL)
model.
findings
indicate
economy
significantly
reduces
while
economic
growth,
increase
region.
robustness
ARDL
results
was
validated
using
Driscoll-Kraay
standard
errors,
Augmented
Mean
Group
(AMG),
Common
Correlated
Effects
(CCEMG)
estimations.
Additionally,
Dumitrescu-Hurlin
causality
test
revealed
a
unidirectional
causal
relationship
between
GDP
innovation.
Furthermore,
bidirectional
found
accessibility
as
well
emissions.
These
provide
comprehensive
insights
into
dynamic
interactions
economic,
technological,
environmental
region,
highlighting
complexity
achieving
sustainable
development.
Modeling Earth Systems and Environment,
Год журнала:
2024,
Номер
10(5), С. 6003 - 6011
Опубликована: Июль 22, 2024
Abstract
This
study
aims
to
analyze
the
trend
of
carbon
dioxide
CO
2
emissions
from
various
sources
in
Pakistan
between
1990
and
2020
effectively
model
underlying
dynamics
emissions.
The
design
fitting
historical
data
reveal
significant
trends
patterns,
highlighting
alarming
increase
These
findings
underscore
necessity
for
robust
policy
interventions
mitigate
achieve
sustainable
development
goals
(SDGs).
work
can
contribute
addressing
challenges
recent
plans
targeting
global
warming
climate
emergency.
By
controlling
these
parameters,
mean
reversion
be
managed,
allowing
control
increasing
rate
regions
threatened
by
change.
O-U
provides
a
valuable
framework
understanding
stochastic
nature
emissions,
offering
insights
into
persistence
variability
emission
levels
over
time.
optimized
parametric
thresholds
model,
after
synchronizing
it
with
real
data,
that
challenge
cannot
naturally
resolved
serious
are
highly
desired.
include
measures
improve
air
quality,
combat
Environmental and Sustainability Indicators,
Год журнала:
2024,
Номер
23, С. 100448 - 100448
Опубликована: Июль 30, 2024
Global
greenhouse
gases
and
carbon
dioxide
emissions
have
escalated
to
concerning
levels.
Given
the
growing
urbanization,
industrialization,
energy
consumption,
it
is
crucial
understand
how
from
various
sectors
influence
environmental
sustainability
in
Pakistan.
The
prime
objective
of
this
study
examine
nexus
between
sectoral
Pakistan,
analyzing
data
1971
2014.
employs
Stochastic
Impacts
by
Regression
on
Population,
Affluence,
Technology
(STIRPAT)
method
Autoregressive
Distributive
Lag
(ARDL)
model
analyze
patterns
relationships,
providing
insights
into
each
sector's
contribute
overall
impact.
results
highlight
that
independent
variables
–
economic
growth,
population
consumption
-
are
most
significant
contributors
emissions,
driven
high
fossil
fuels.
At
an
aggregate/disaggregate
level,
models
show
mixed
associations
dependent
such
as
gaseous
fuel
liquid
solid
residential
buildings,
commercial
public
services,
transportation
sector
with
variables.
Pairwise
Granger
causality
confirms
a
unidirectional
among
pairs
relationships.
suggests
policymakers
Pakistan
adopt
multi-sectoral
approach
achieve
sustainability.
It
also
recommends
accelerating
transition
renewable
sources
solar,
wind,
hydropower
reduce
dependence
This
study
aims
to
determine
the
relationship
between
economic
growth
and
CO2
emissions
through
hypothesis
of
Environmental
Kuznets
Curve
for
25
countries
American
continent
covering
period
2010-2020.
The
methodology
used
is
a
panel
data
model
that
employs
static
regression
with
cluster,
measuring
their
variables
GDP
per
capita,
electricity
consumption,
income
from
environmental
taxes,
exports,
imports
in
America.
result
allows
visualization
an
inverted
U-shaped
association
degradation
considered,
estimates
have
expected
signs
are
statistically
significant,
resulting
empirical
support
presence
Curve,
evidencing
need
implement
public
policies
promote
care.
Sustainable Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Март 6, 2025
ABSTRACT
In
recent
decades,
rapid
development
in
emerging
economies,
particularly
within
the
BRICS
bloc,
has
intensified
climate
challenges,
threatening
environmental
sustainability.
Green
energy,
technological
innovation,
and
carbon
pricing
strategies
have
emerged
as
key
tools
for
mitigating
these
impacts
while
promoting
green
economic
growth,
aligning
with
international
goals
such
2030
SDGs
pledge
neutrality
by
2060.
However,
balancing
socio‐economic
growth
sustainability
remains
a
significant
challenge
countries.
This
study
investigates
impact
of
diffusion,
finance,
natural
resource
rents
on
CO
2
emissions
economies
from
1995
to
2022.
The
research
employs
advanced
panel
data
techniques,
specifically
Augmented
Mean
Group
(AMG)
Common
Correlated
Effects
(CCEMG)
models,
account
cross‐sectional
dependence
heterogeneity.
empirical
results
show
that
finance
all
negative
emissions,
contributing
emission
reductions.
contrast,
diffusion
are
positively
associated
indicating
higher
lead
an
increase
emissions.
Dumitrescu
Hurlin
causality
tests
reveal
bidirectional
causal
relationships,
suggesting
not
only
do
factors
influence
but
also
advancement
technologies
growth.
Based
findings,
recommends
policy
actions
support
SDG
targets,
7,
8,
9,
13,
through
promotion
R&D,
circular
economy
practices.
Environmental Progress & Sustainable Energy,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 18, 2025
Abstract
Climate
change
poses
a
significant
threat
to
the
global
economy,
environment,
and
human
well‐being,
putting
their
long‐term
sustainability
at
risk.
Based
on
this
fact,
study
investigates
heterogeneous
effect
of
renewable
energy
consumption,
environmental‐related
technologies,
technological
innovation,
environmental
policy
stringency,
geopolitical
risk
carbon
emissions
in
MINT
countries
(Mexico,
Indonesia,
Nigeria,
Turkey)
from
1990
2020.
The
employs
econometric
techniques
such
as
Dynamic
Ordinary
Least
Squares,
Fully
Modified
Canonical
Cointegration
Regression,
Feasible
Generalized
Method
Moment
Quantile
Regression
approaches
evaluate
data
attributes.
findings
MMQR
demonstrate
that
consumption
stringency
initially
show
positive
relationship
with
CO
2
across
various
quantiles.
Environmental‐related
risk,
innovation
consistently
negative
impact
emissions.
causality
tests
indicate
bidirectional
association
among
variables.
above
results,
policymakers
should
enhance
funding
for
research
development
green
technologies
tailored
specific
needs
align
national
policies
relevant
United
Nations
Sustainable
Development
Goals
(SDGs),
particularly
7,
9,
13.
Economies,
Год журнала:
2025,
Номер
13(6), С. 153 - 153
Опубликована: Май 29, 2025
The
escalating
threat
of
climate
change
has
placed
carbon
dioxide
(CO2)
emissions
at
the
forefront
global
environmental
policy.
relationship
between
and
information
technology
(IT)
is
crucial
in
shaping
international
strategies.
This
study
investigates
impact
technology,
trade
globalisation
(TG),
economic
complexity
(EC)
on
CO2
BRICS
countries
using
panel
data
from
1996
to
2018.
analysis
applies
CUP-FM
estimator
assess
long-run
relationships
Dumitrescu–Hurlin
causality
test
evaluate
directionality.
results
show
that
significantly
reduces
emissions.
effect
primarily
driven
by
promotion
service
sector,
reduced
material
use,
improved
energy
efficiency.
In
contrast,
an
inconsistent
impact.
While
it
can
lower
through
diffusion
efficiency
gains,
also
increase
them
due
Scale
Effects
relocation
polluting
industries.
identifies
a
U-shaped
emissions,
indicating
initially
rise
with
but
decline
as
innovation
clean
production
practices
improve.
These
findings
suggest
developing
digital
infrastructure
green
technologies
Globalisation
promote
sustainable
development
economies.
Therefore,
policymakers
should
prioritise
strengthening
IT
environment,
fostering
partnerships,
integrating
balance
growth
protection.
