Natural Resources Forum,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 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.
Ecological Indicators,
Год журнала:
2023,
Номер
158, С. 111508 - 111508
Опубликована: Дек. 29, 2023
Exploring
the
spatial
network
structure
of
land-use
carbon
emissions
(LUCE)
and
balance
in
developing
regions
is
pivotal
for
climate
change
mitigation
these
areas.
Using
socio-economic
data
from
2000
to
2020,
this
study
focused
on
Jiangxi
Province
as
a
representative
case
elucidate
LUCE
conduct
zoning.
The
primary
findings
were
follows:
(1)
distribution
demonstrated
pattern
with
high
values
northwest
low
southeast.
An
increasing
trend
was
observed
total
amount
LUCE.
Furthermore,
there
evident
regional
differences
Ecological
Support
Coefficient
(ESC),
indicating
weakening
sink
capacity.
(2)
intricate
but
stable.
Although
gravitational
interactions
between
cities
have
intensified,
overall
connectivity
remained
moderately
correlated,
prominent
development
imbalance.
(3)
There
pronounced
"core-periphery"
correlation
network.
Northern
"core"
network,
taking
an
"initiator"
role,
whereas
most
southern
played
"passive"
resided
at
"periphery"
inter-regional
exhibited
spillover,
inter-block
correlations
surpassing
those
within
blocks.
(4)
By
leveraging
empirical
metrics,
we
categorized
into
five
distinct
zoning
types
subsequently
proposed
optimization
strategies.
From
perspective
social
analysis
(SNA),
offers
methodological
insights
low-carbon
synergistic
emission
reduction
regions.
International Journal of Green Energy,
Год журнала:
2024,
Номер
unknown, С. 1 - 14
Опубликована: Окт. 14, 2024
In
an
era
where
energy
transitions
are
critical
for
addressing
climate
change
and
ensuring
economic
stability,
policy
uncertainty
(EGU)
emerges
as
a
crucial
factor
influencing
consumption
patterns.
This
study
investigates
the
complex
relationship
between
EGU
various
forms
of
consumption,
including
fossil
fuels,
renewables,
total
use
across
G7
countries
from
1996
to
2022.
Utilizing
FMOLS
(fully
modified
OLS)
DOLS
(dynamic
ordinary
models,
long-term
relationships
among
variables
were
established
robustness
was
checked
by
employing
ARDL
(autoregressive
distributed
lag)
model.
Our
findings
reveal
that
significantly
hampers
fuel
impedes
renewable
uptake,
affects
adversely.
These
effects
underscore
broader
implications
on
strategies.
Specifically,
checks
confirm
these
hold
different
model
specifications
periods.
addition,
analysis
reveals
dynamic
impact
control
FDI
inflow,
institutional
quality,
banking
development,
inflation
rates
specific
consumptions.
Policy
profound:
governments
must
prioritize
stabilization
policies
enhance
investor
confidence
facilitate
transition
sustainable
sources.
Additionally,
targeted
interventions
mitigate
can
promote
development
infrastructure
support
more
predictable
markets.
provides
new
insights
into
impacts
offers
foundation
strategic
formulation
aimed
at
achieving
balanced
future.
Heliyon,
Год журнала:
2025,
Номер
unknown, С. e41944 - e41944
Опубликована: Янв. 1, 2025
Climate
policy
is
crucial
in
shaping
global
responses
to
environmental
challenges
and
steering
societies
towards
sustainable
resilient
futures.
Thus,
research
study,
we
examine
the
impacts
of
Economic
(ECONF),
Environmental
(ENVF),
Social
(SOCF),
Governance
(GOVNF)
factors,
as
well
combined
(ECON-ESG)
on
Policy
Uncertainty
(CPU)
at
level.
The
new
ECON-ESG
form
sustainability,
defined
this
refers
holistic
approach
sustainability
by
including
economic
factors
(ECON)
traditional
ESG
factors.
Empirical
findings
reveal
that
while
(E)
social
(S)
worsen
CPU,
improve
it
long
run.
(G)
have
no
impact
CPU.
While
a
1
%
increase
E
S
increases
CPU
22
27
%,
same
percentage
ECON
decreases
40
%.
These
results
clearly
show
analyses
conducted
only
through
conventional
may
be
insufficient
inaccurate
analyzing
effects
Our
study's
result
should
not
considered
limited
only,
will
helpful
use
proposed
form,
ECON-ESG,
more
comprehensive
concept
studies
since
also
incorporates
This
enable
policymakers
look
climate
policies
lens
with
ECON-ESG.
adopt
includes
when
policies.
