Artificial
Intelligence
(AI)
as
a
key
driving
force
of
the
new
technological
revolution
and
industrial
transformation,
whether
it
can
significantly
release
effect
green
development
has
attracted
much
attention,
is
also
an
important
proposition
that
theoretical
research
needs
to
be
explored.
Based
on
sample
data
from
Chinese
listed
firms
2008
2019,
this
study
investigates
promote
through
AI
investigate
influencing
mechanisms.
This
finds
reduces
energy
pollution
intensity
in
firms,
thereby
promoting
development.
primarily
facilitates
scale,
technological,
structural
effects.
Heterogeneity
analysis
shows
positive
impact
more
pronounced
regions
with
stricter
environmental
regulations,
lower
levels,
higher
degrees
digitalization.
Further
indicates
"superstar"
title
enhance
development,
marginal
likely
due
heightened
attention
receive
investors,
media,
government.
Additionally,
bring
significant
social
welfare
where
located,
effectively
regional
energy-saving,
reduction,
steady
improvement
economic
growth
quality
efficiency.
Sustainability,
Год журнала:
2025,
Номер
17(3), С. 990 - 990
Опубликована: Янв. 25, 2025
Countries
worldwide
are
focusing
on
energy
efficiency,
economic
sustainability,
and
responsible
resource
management
to
address
climate
change
meet
sustainable
development
goals
(SDGs).
This
study
investigates
how
factors
such
as
artificial
intelligence,
renewable
energy,
green
human
capital,
geopolitical
risk,
natural
rent,
information
communication
technology
influenced
CO2
emissions
in
36
countries
between
2000
2021.
The
also
explores
institutional
quality
moderates
these
relationships.
We
employed
advanced
econometric
techniques
this
gap,
including
panel-correlated
standard
errors
(PCSE)
the
Driscoll–Kraay
estimations
(DKSE)
models.
A
two-step
system
GMM
approach
was
used
strengthen
robustness
of
our
findings.
findings
reveal
that
consumption,
can
significantly
reduce
emissions.
Conversely,
contribute
increased
Institutional
enhances
positive
impact
capital
emission
reduction.
However,
it
has
opposite
effect
leading
an
even
greater
increase
These
underscore
importance
policies
achieving
goals.
recommend
policymakers
prioritize
investing
clean
while
strengthening
effectively
mitigate
carbon
SDGs.
They
regulate
AI
ICT
footprints
risks
through
diversification
international
cooperation.
Review of Business and Economics Studies,
Год журнала:
2025,
Номер
12(4), С. 58 - 71
Опубликована: Фев. 11, 2025
This
study
provides
a
theoretical
analysis
of
the
use
and
application
artificial
intelligence
(AI)
in
energy
sector
as
it
relates
to
climate
security.
The
object
is
security
types
economic
activity
social
activity.
subject
research
relation
area
research.
purpose
create
sound
scientific
basis
for
sector,
well
identify
emerging
problems
formation
science-based
approach
policy
development.
authors’
includes
three
interrelated
methodologies:
topic
modeling,
text
mining
part
qualitative
modeling
systematization
results
that
are
adequate
correspond
their
reality;
addition,
authors
supplemented
quantitative
with
heuristic
other
researchers.
concept
parametric
optimization
(PO)
used
an
effective
method
solving
applied
problem
testing
hypothesis
managing
costs
efficiency
based
on
AI
order
achieve
optimal
performance
technical
system
compliance
Sustainable
Development
Goals
(SDGs)
field
study’s
findings
suggest
becoming
fundamental
development
modern
data
complex
relationships
tools
improve
face
sanctions
restrictions.
conclude
truth
has
been
proven:
control
feedback
loop
at
facility
purification
generation
more
cost-effective
technically
alternative
“live”
operator,
which
will
eliminate
human
error
factor.
In
this
regard,
industry,
utilities,
grid
operators
independent
power
producers
must
pay
special
attention
introduction
technologies
into
existing
systems.
