Natural Resources Forum,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 7, 2025
ABSTRACT
Uncertainty
in
climate
policies
is
a
new
topic
of
study
that
could
impact
environmental
issues
such
as
CO
2
emissions.
Using
recently
developed
monthly
dataset
on
the
Climate
Policy
index
(CPU),
spanning
from
April
1987
to
September
2022,
we
investigate
whether
CPU
can
be
used
tool
predict
total
and
sectoral
energy
consumption
emissions
changes
relying
time‐varying
frequency‐domain
Granger
causality
techniques
for
short‐,
middle‐,
long‐runs.
The
current
also
investigates
symmetric
asymmetric
between
Our
results
based
test
show
uncertainty
about
causes
Similarly,
reveal
significant
cause
long
medium
terms.
We
search
asymmetry
since
positive
negative
shocks
may
have
contrasting
impacts
To
see
this
effect
over
time,
conduct
Granger‐causality
frequency
domain
verify
asymmetrical
associations
some
cases.
findings
give
policymakers
academics
fresh
views
by
highlighting
significance
aspects
dynamics
CPU‐CO
nexus.
Science Progress,
Journal Year:
2025,
Volume and Issue:
108(1)
Published: Jan. 1, 2025
Increasing
concerns
about
climate
change
and
efforts
on
reducing
reliance
fossil
fuels
have
led
to
research
electric
vehicles
for
sustainable
solutions
increasing
energy
demands.
This
study
comprehensively
analyzes
the
impact
of
power
plant
emissions
adoption
in
relation
air
pollution.
The
main
pollutants
emitted
by
plants
potential
with
deployment
are
assessed.
Energy
consumption
was
calculated.
A
gasoline-powered
an
vehicle
modelled
MATLAB
Simulink
software.
theoretical
model
results
compared
analyze
effect
major
pollutants.
investigation
aims
identify
CO
2
emission
requirement
transitioning
vehicles.
Results
show
that
can
be
111%
82%
higher
than
GPVs
depending
electricity
generation
technologies.
Natural Resources Forum,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 7, 2025
ABSTRACT
Uncertainty
in
climate
policies
is
a
new
topic
of
study
that
could
impact
environmental
issues
such
as
CO
2
emissions.
Using
recently
developed
monthly
dataset
on
the
Climate
Policy
index
(CPU),
spanning
from
April
1987
to
September
2022,
we
investigate
whether
CPU
can
be
used
tool
predict
total
and
sectoral
energy
consumption
emissions
changes
relying
time‐varying
frequency‐domain
Granger
causality
techniques
for
short‐,
middle‐,
long‐runs.
The
current
also
investigates
symmetric
asymmetric
between
Our
results
based
test
show
uncertainty
about
causes
Similarly,
reveal
significant
cause
long
medium
terms.
We
search
asymmetry
since
positive
negative
shocks
may
have
contrasting
impacts
To
see
this
effect
over
time,
conduct
Granger‐causality
frequency
domain
verify
asymmetrical
associations
some
cases.
findings
give
policymakers
academics
fresh
views
by
highlighting
significance
aspects
dynamics
CPU‐CO
nexus.