International Journal of Energy Economics and Policy,
Journal Year:
2024,
Volume and Issue:
14(1), P. 620 - 627
Published: Jan. 15, 2024
This
study
investigates
the
impact
of
renewable
energy
and
Foreign
Direct
Investment
(FDI)
on
CO2
emissions
across
45
countries
in
Europe
Central
Asia
for
period
2000-2019.
Utilizing
two-step
system
Generalized
Method
Moments
(GMM)
estimator,
our
findings
reveal
that
both
FDI
play
pivotal
roles
mitigating
emissions.
Notably,
with
higher
levels
integration
experience
a
stronger
reduction
due
to
FDI.
Furthermore,
analysis
uncovers
an
inverted
U-shaped
relationship
between
GDP
per
capita
emissions,
indicating
nuanced
trajectory
environmental
economic
growth.
Additionally,
identifies
inverse
correlation
agriculture
sector
as
well
government
size.
The
implications
these
are
discussed
context
policy
strategies,
providing
valuable
insights
sustainable
development
region.
Energies,
Journal Year:
2023,
Volume and Issue:
16(8), P. 3557 - 3557
Published: April 20, 2023
Over
the
last
few
decades,
climate
change
and
global
warming
have
intensified
a
serious
threat
that
may
deteriorate
sustainable
development.
The
factors
significantly
contributing
to
are
greenhouse
gases,
mainly
carbon
dioxide
emissions.
Therefore,
it
is
crucial
consider
variables
affecting
emissions
considerably.
This
study
examines
symmetric
(linear)
asymmetric
(non-linear)
effects
of
green
technology
innovation
(GTI),
economic
policy
uncertainty
(EPU)
along
with
foreign
direct
investment
(FDI),
development
(GDP)
on
(CO2)
by
utilizing
yearly
time
series
data
between
1970–2018
in
Italy.
We
employed
linear
non-linear
autoregressive
distributed
lag
(ARDL)
approaches
examine
short-
long-run
estimates.
results
show
GTI
EPU
mitigate
environmental
degradation
long
run
intensify
short
run,
whereas
FDI
increases
issues
over
run.
Nevertheless,
outcomes
demonstrate
positive
shocks
lessen
CO2
emissions,
negative
escalate
Furthermore,
enhance
degradation.
Based
these
findings,
important
implications
for
policymakers
make
strong
policies
achieve
neutrality
targets
growth
proposed.
Finally,
because
changes
GTI,
EPU,
different
consequences
should
asymmetry
across
when
assessing
their
impact.
Technological Forecasting and Social Change,
Journal Year:
2024,
Volume and Issue:
207, P. 123638 - 123638
Published: Aug. 7, 2024
Over
the
past
few
decades,
ecological
damage
has
been
humanity's
greatest
threat.
It
is
possible
that
factors
such
as
green
technology
innovation,
environmental
policy,
and
renewable
energy
consumption
can
play
an
essential
role
in
process
of
achieving
sustainability.
Therefore,
present
study
aims
to
investigate
impact
consumption,
along
with
economic
growth,
trade
openness,
urbanization,
on
sustainability
presence
Kuznets
curve
hypothesis
for
a
group
G-7
economies
from
1994
2018.
For
this
purpose,
we
employed
long-run
mean
estimation
approaches
(FMOLS,
DOLS,
FE-OLS)
Panel
Quantile
Regression
technique
produce
heterogeneous
results
at
various
levels
footprint.
The
panel
quantile
regression
findings
report
urbanization
promote
by
reducing
footprint
all
quantiles.
However,
effect
statistically
insignificant
10th
quantile.
Further,
significant
positive
growth
negative
square
confirms
hypothesis.
Moreover,
indicate
openness
stimulates
and,
result,
reduces
estimates
are
similar
outcomes.
suggest
countries
need
well-designed
strict
policies
emphasize
help
these
increase
share
compared
non-renewable
technological
innovation
through
financial
aid,
stringent
policy
instruments
(e.g.,
taxes)
ensure
Energy Strategy Reviews,
Journal Year:
2024,
Volume and Issue:
52, P. 101347 - 101347
Published: Feb. 28, 2024
Digitalization
is
a
driving
force
behind
the
ongoing
energy
industrial
revolutions,
catalyzing
China's
pursuit
of
carbon
neutrality
and
sustainable
development.
Leveraging
provincial
data
annual
reports
from
enterprises
in
China,
this
study
constructs
comprehensive
analytical
framework
that
encompasses
benchmark
regression
models,
mediating
effect
threshold
spatial
econometric
models.
These
models
are
utilized
to
investigate
multi-faceted
impacts
digitalization
on
productivity
(CP).
The
aim
furnish
micro-level
evidence
policy
guidance
for
advancing
transformation
fostering
low-carbon
development
enriched
with
digital
elements.
This
research
employs
natural
language
processing
machine
learning
techniques
compute
an
Energy
Index,
examining
two
critical
dimensions:
industry
investment
inclination
toward
transformation.
following
key
findings
emerge:
firstly,
(ED)
exhibits
statistically
significant
ability
enhance
regional
CP,
phenomenon
marked
by
temporal
variations.
Secondly,
analysis
confirms
transmission
mechanisms
associated
technology
innovation,
structure,
utilization
efficiency,
as
revealed
through
Logarithmic
Mean
Divisia
Index
(LMDI)
decomposition
method.
Furthermore,
optimal
economies
materializes
settings
characterized
mature
market
conditions,
modest
environmental
regulations,
advanced
infrastructure,
reduced
resource
dependency.
Additionally,
Markov
chain
unveils
conspicuous
distribution
pattern
termed
"club
convergence"
accompanied
pronounced
"Matthew
effect."
According
Durbin
model,
generates
favorable
spillover
effects,
primarily
peripheral
regions,
more
short-term
influence.
Building
upon
these
insights,
paper
presents
pertinent
recommendations
encompassing
national
"digital
energy"
strategy,
differentiation
policies,
initiatives
stimulate
innovation
among
enterprises.
Our
robust
empirical
constructive
empowering
governments
forge
smarter
cleaner
ecosystem.
offer
valuable
other
developing
nations
seeking
implement
effective
strategies.
Energy Strategy Reviews,
Journal Year:
2024,
Volume and Issue:
53, P. 101360 - 101360
Published: April 17, 2024
Energy-outlook
from
past
to
future
specific
years
has
become
essential
in
energy-economy.
Malaysia
is
a
member
of
ASEAN
(Association
South-east
Asian
Nations),
and
increasing
the
use
renewable
energy
by
2050
reduce
carbon
dioxide
(CO2)
emissions.
Coal
Malaysia's
primary
fossil
fuel
for
generation,
producing
large
amounts
CO2
exacerbating
greenhouse
problems,
including
air
pollution.
Moreover,
capacity
increased
significantly
worldwide
since
2020
during
COVID-19
pandemic.
Therefore,
this
study
provides
an
energy-outlook
1990
as
rationale
emphasis
on
sustainable
post-COVID-19
years,
which
been
felt
be
absent
previous
studies.
Here,
data
well
projections
coal
trade,
hydropower
growth,
electricity
consumption,
emissions
are
shown.
An
procedure
explored
reviewing
literature
derive
visualizations
projections.
Business-as-usual
(BAU)
Alternative-policy
Scenarios
(APS)
methods
have
used
The
article
prioritizes
main
generation
Malaysia.
observed
significant
increase
with
demand
Malaysia,
concern,
emphasized
importance
mitigating
Finally,
Long-short-term
memory
(LSTM)
initial
experiment
how
Artificial
Intelligence
(AI)
can
outlook
study,
indicates
research
scope
AI.