Empirical Economics,
Год журнала:
2024,
Номер
unknown
Опубликована: Июль 24, 2024
Abstract
This
work
probes
the
dynamic
co-movement
between
Climate
Policy
Uncertainty
Index
(CPU)
and
Renewable
Energy
Clean
Technology
(RECT)
employing
novel
wavelet
power
spectrum
(WPS)
coherence
(WC)
approaches
for
monthly
data
2013
2022.
Using
approach
enables
us
to
observe
causality
direction
from
both
time
frequency
dimensions
also
help
detect
causal
linkage
in
short-medium
long-term
horizons.
is
first
study
aiming
perform
this
relationship
dimensions.
Remarkably,
findings
reveal
that:
i)
CPU
seems
only
volatile
2019
2021
short
run;
(ii)
there
was
significant
volatility
RECT
long
terms
(SLT)
2018
2022;
(iii)
significantly
caused
2014
2018;
iv)
after
2019,
started
cause
medium
(SMT).
Sustainable Development,
Год журнала:
2023,
Номер
unknown
Опубликована: Авг. 3, 2023
Abstract
In
the
context
of
trade
protectionism
impacting
economic
and
environmental
sustainability,
a
more
comprehensive
understanding
impact
on
carbon
emissions
is
critical
to
sustainability.
Existing
literature
mainly
explores
from
perspective
openness,
neglecting
perspectives
diversification
direction.
This
study
aims
fill
this
gap
by
investigating
openness
(measured
volume,
import,
export),
import
export
diversification)
based
data
OECD
G20
countries
between
1997
2019.
The
further
heterogeneity,
asymmetry,
mediation
effects.
results
demonstrate
that
(i)
heterogeneous,
with
leads
an
increase
in
emissions,
while
reduction
emissions.
Moreover,
has
strongest
effect
reducing
(ii)
asymmetry.
Trade
increases
at
10%–50%
quantile
levels
reduces
80%–90%
levels.
However,
consistent.
(iii)
mediated
technology
structural
effect.
On
one
hand,
industrial
structure.
other
it
contributes
technological
progress.
These
findings
could
serve
better
understand
complexity
free
trade's
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.
Energy Strategy Reviews,
Год журнала:
2024,
Номер
52, С. 101330 - 101330
Опубликована: Фев. 28, 2024
The
Paris
Agreement
and
COP27
have
been
actively
working
towards
a
transition
to
clean
energy
(SDG-7)
the
restoration
of
green
environment
(SDG-13).
Therefore,
this
study
was
situated
within
comprehensive
policy
framework.
This
aims
investigate
effects
environmental
governance
economic
complexity
on
in
20
OECD
countries
selected
for
analysis
from
1990
2021.
employs
novel
MMQR
model
account
slope
heterogeneity
cross-sectional
dependency.
Additionally,
an
asymmetric
conducted
examine
mediating
moderating
roles
geopolitical
risk
relationship
between
governance,
complexity,
transition.
primary
findings
indicate
that
(1)
stimulating
effect
at
different
levels
quantiles.
Strict
policies
played
critical
role
energy.
Furthermore,
interaction
factors
negatively
impacts
various
quantiles;
(2)
demonstrates
positive
association
with
transition,
as
high
possess
necessary
resources,
capabilities,
resilience
effectively
address
challenges
seize
opportunities
associated
transitioning
cleaner
more
sustainable
sources.
However,
geopolitics
transforms
influence
into
negative
nonparametric
panel
Granger
causality
test
establishes
significant
causal
relationship,
revealing
can
support
by
creating
favorable
adoption,
fostering
innovation,
facilitating
effective
planning
implementation,
enhancing
resilience,
promoting
international
collaboration.
Energy Reports,
Год журнала:
2023,
Номер
10, С. 381 - 395
Опубликована: Июль 6, 2023
Adopting
suitable
energy
policies
that
consider
the
existence
of
main
obstacles
could
make
development
solar
systems
much
smoother.
Several
have
been
placed
in
way
Pakistan,
which
has
prevented
its
growth
from
reaching
a
satisfactory
level.
In
order
to
tackle
these
issues,
it
is
necessary
first
recognize
stand
implementing
energy.
So,
this
research
aims
find
and
rank
expansion
power
Pakistan
using
novel
spherical
fuzzy
analytical
hierarchy
process.
The
results
revealed
economic
category
(21.46%)
ranks
highest
among
major
categories.
contrast,
overall
global
ranking
sub-obstacles
showed
budget
constraints
(4.68%),
lack
access
credit/capital
(4.52%),
political
instability
(4.51%),
high
investment
risk
operation
cost
(4.42%),
partnership
issues
(4.37%)
are
more
critical
five
than
rest
twenty-one
within
different
addition,
recommendations
made
for
elimination
obstacles.
current
study
policy
implications
policymakers,
researchers,
practitioners
involved
sector
country.
Furthermore,
may
help
develop
strategies
smooth
deployment
Pakistan.
