Environmental Health Insights,
Journal Year:
2024,
Volume and Issue:
18
Published: Jan. 1, 2024
This
study
examines
how
EC,
FF
use,
RC,
POP
growth,
trade,
GDP,
and
CO
2
emissions
are
interrelated
in
China.
It
aims
to
clarify
these
factors
together
impact
environmental
pollution
economic
sustainability.
The
motivation
stems
from
China’s
dual
challenge
of
sustaining
growth
while
mitigating
degradation,
particularly
emissions.
Understanding
the
intricate
relationships
among
variables
is
critical
for
shaping
adequate
energy
policies
context
growing
role
as
a
global
power.
empirical
methodology
utilizes
time-series
data
2000
2023
applies
econometric
techniques,
including
Autoregressive
Distributed
Lag
(ARDL).
These
methods
allow
exploring
both
long-term
short-term
dynamics
identifying
causal
relationships.
key
findings
reveal
significant
relationship
between
emissions,
with
RC
increasingly
crucial
carbon
In
short
term,
there
bidirectional
causality
utilization
indicating
mutual
feedback
demand
development.
trade
activities
also
significantly
influence
patterns
policy
implications
profound:
China
must
prioritize
promoting
enhancing
efficiency,
strengthening
regulations
decouple
degradation.
Policies
should
integrate
sustainable
urban
planning
international
cooperation
accelerate
transition
low-carbon
economy.
strategies
ensure
can
meet
its
goals
without
compromising
Natural Resources Forum,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Oct. 25, 2024
Abstract
The
pursuit
of
a
sustainable
environment
is
common
goal
for
many
nations;
however,
achieving
this
has
become
increasingly
difficult
due
to
country‐specific
risks,
often
referred
as
country
risk.
Despite
its
importance,
the
relationship
between
risk
and
environmental
outcomes
still
in
early
stages
exploration.
This
study
aims
bridge
gap
by
examining
influence
on
India's
ecological
footprint
within
an
asymmetric
empirical
framework,
while
accounting
economic
growth
coal
energy
consumption.
Utilizing
nonlinear
autoregressive
distributed
lag
(NARDL)
estimator,
analysis
covers
data
from
1984
2018.
findings
reveal
that
positive
changes
financial
contribute
improvement
significantly
reducing
footprint,
whereas
negative
these
risks
lead
increase
footprint.
Additionally,
political
risk,
growth,
usage
exacerbate
reductions
use
benefits.
Based
outcomes,
policymakers
are
encouraged
establish
clear
benchmark
reduce
fostering
manner.
Governments
should
also
prioritize
strong
support
green
technology
investments
ensure
stability
across
political,
economic,
sectors
promote
long‐term
sustainability.
Energies,
Journal Year:
2024,
Volume and Issue:
17(24), P. 6230 - 6230
Published: Dec. 11, 2024
Egypt,
as
a
nation,
is
committed
to
achieving
ecological
sustainability,
which
helps
protect
the
environment
for
future
generations,
thereby
ensuring
balance
between
energy
production,
environmental
health,
and
economic
development.
With
regard
this
vision,
research
utilized
autoregressive
distributed
lag
(ARDL)
estimator
probe
how
hydroelectricity,
digitalization,
natural
gas
affect
degradation
within
Environmental
Kuznets
Curve
(EKC)
in
Egypt.
This
study
further
used
two
distinct
proxies,
namely,
CO2
emissions
footprint.
The
result
of
ARDL
indicates
that
there
an
inverted
U-shaped
association
growth
while
urbanization
does
not
sustainability.
Moreover,
negatively
impact
sustainability
Furthermore,
frequency
domain
causality
approach
showed
two-way
pathway
its
regressors.
Based
on
outcome,
policymakers
should
prioritize
decoupling
from
by
investing
green
infrastructure,
sustainable
industries,
circular
economy
models.
Environmental Health Insights,
Journal Year:
2024,
Volume and Issue:
18
Published: Jan. 1, 2024
This
study
examines
how
EC,
FF
use,
RC,
POP
growth,
trade,
GDP,
and
CO
2
emissions
are
interrelated
in
China.
It
aims
to
clarify
these
factors
together
impact
environmental
pollution
economic
sustainability.
The
motivation
stems
from
China’s
dual
challenge
of
sustaining
growth
while
mitigating
degradation,
particularly
emissions.
Understanding
the
intricate
relationships
among
variables
is
critical
for
shaping
adequate
energy
policies
context
growing
role
as
a
global
power.
empirical
methodology
utilizes
time-series
data
2000
2023
applies
econometric
techniques,
including
Autoregressive
Distributed
Lag
(ARDL).
These
methods
allow
exploring
both
long-term
short-term
dynamics
identifying
causal
relationships.
key
findings
reveal
significant
relationship
between
emissions,
with
RC
increasingly
crucial
carbon
In
short
term,
there
bidirectional
causality
utilization
indicating
mutual
feedback
demand
development.
trade
activities
also
significantly
influence
patterns
policy
implications
profound:
China
must
prioritize
promoting
enhancing
efficiency,
strengthening
regulations
decouple
degradation.
Policies
should
integrate
sustainable
urban
planning
international
cooperation
accelerate
transition
low-carbon
economy.
strategies
ensure
can
meet
its
goals
without
compromising
