Applied Economics,
Journal Year:
2023,
Volume and Issue:
56(25), P. 2975 - 2989
Published: April 19, 2023
This
study
aims
to
address
debate
in
previous
studies
on
whether
AI
has
a
positive
or
negative
effect
carbon
emission
reduction.
We
used
quantile
regression
and
PSTR
models
the
diverse
impacts
of
emissions
66
countries
from
1993–2019.
There
were
three
main
findings
this
paper.
First,
impact
varies
across
countries,
its
reduction
is
mainly
found
high-carbon
high-income
countries.
Second,
industrial
structure
environment
different
affects
role
reduction,
with
marginal
limiting
decreasing
rise
secondary
structures.
Third,
based
their
demographic
The
increases
places
older
populations.
offers
unique
insight
into
heterogeneous
CO2
emissions.
Our
analysis
confirms
importance
structures
promoting
provide
effective
policy
recommendations
for
economic
development
environmental
governance.
Energy Economics,
Journal Year:
2024,
Volume and Issue:
133, P. 107493 - 107493
Published: March 22, 2024
Scholars,
stakeholders,
and
the
government
have
given
significant
attention
to
development
of
renewable
energy
in
recent
times.
However,
previous
research
has
failed
acknowledge
potential
impact
artificial
intelligence
on
advancing
development.
Drawing
insights
from
a
global
dataset
encompassing
63
countries
over
period
2000–2019,
this
paper
provides
observations
regarding
influence
progress
energy,
by
using
Instrumental
Variable
Generalized
Method
Moments
model.
We
also
explore
their
asymmetric
nexus,
mediation
effect.
Moreover,
study
explores
moderating
role
climate
finance
highlights
following
interesting
findings.
First,
contributes
significantly
enhanced
primary
finding
holds
after
two
robustness
tests
changing
independent
dependent
variables.
Second,
an
effect
development,
nexus
is
closer
with
lower
levels
Thid,
works
through
technology
innovation
Fourth,
presents
direct
benefits
development;
simultaneously,
plays
effective
relationship
between
These
findings
inspire
us
propose
policy
implications
promote
energy.
Humanities and Social Sciences Communications,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Feb. 21, 2024
Abstract
Research
over
the
past
three
decades
has
provided
rich
empirical
evidence
for
inverted
U-shaped
EKC
theory,
but
current
problems
facing
advancing
climate
mitigation
actions
require
us
to
re-examine
shape
of
global
rigorously.
This
paper
examined
N-shaped
in
a
panel
214
countries
with
12
traditional
and
emerging
variables,
including
institutions
risks,
information
communication
technology
(ICT),
artificial
intelligence(AI),
resource
energy
use,
selected
social
factors.
The
two-dimensional
Tapio
decoupling
model
based
on
group
homogeneous
is
developed
explore
inter-group
heterogeneous
carbon
emission
effects
each
variable.
Global
research
results
show
that
linear
cubic
terms
GDP
per
capita
are
significantly
positive,
while
quadratic
term
negative,
regardless
whether
additional
variables
added.
means
robust
existence
an
EKC.
Geopolitical
risk,
ICT,
food
security
confirmed
positively
impact
emissions,
composite
institutional
quality,
digital
economy,
transition,
population
aging
negative.
AI,
natural
rents,
trade
openness,
income
inequality
insignificant.
inflection
points
considering
all
45.08
73.44
thousand
US
dollars,
respectively.
Combining
turning
calculated
coefficients,
categorized
into
six
groups
model.
subsequent
regression
heterogeneity
direction
magnitude
impacts
most
variables.
Finally,
differentiated
reduction
strategies
stages
proposed.
