Journal of Global Information Management,
Journal Year:
2024,
Volume and Issue:
32(1), P. 1 - 21
Published: Nov. 10, 2024
Recent
studies
indicate
that
Artificial
Intelligence
(AI)
technology,
characterized
by
its
integration
of
information
and
communication
technology
attributes,
exerts
a
multifaceted
influence
on
the
energy
system.
The
authors
employ
Difference-in-Differences
(DID)
Triple-Difference
(DDD)
models
to
investigate
effects
AI.
research
initially
demonstrates
AI
may
exhibit
dual
attributes
constraining
structure.
Specifically,
rapid
development
tends
increase
proportion
fossil
fuel-based
electricity
generation
while
optimizing
consumption
renewable
energy.
Furthermore,
degradation
structure
stems
from
surge
in
AI,
which
capacity
is
unable
satisfy.
Lastly,
industrial
agglomeration
construction
digital
economy
have
positive
impacts
energy;
technological
innovation
aids
mitigating
negative
shocks
This
study
provides
new
perspective
role
transition.
Advances in finance, accounting, and economics book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 45 - 64
Published: Jan. 14, 2025
Artificial
intelligence
(AI)
is
a
powerful
force
that
reshaping
multiple
sectors
of
the
economy,
including
energy
industry.
Its
ability
to
analyze
vast
amounts
data
and
make
quick
decisions
has
potential
revolutionize
landscape.
However,
this
transformation
also
brings
about
concept
creative
destruction,
where
new
technologies
innovations
replace
existing
ones,
leading
both
economic
growth
disruption
in
established
industries.
The
fusion
AI
destruction
sector
presents
challenges
opportunities
for
businesses
policymakers
alike.
Along
with
this,
it
aims
provide
framework
understand
significant
role
causing
radical
changes
various
sectors,
resource
distribution,
production,
security,
consumption,
related
business
areas.
As
continues
advance,
expected
have
an
increasing
impact
on
pave
way
more
sustainable
efficient
future.
Energies,
Journal Year:
2025,
Volume and Issue:
18(2), P. 434 - 434
Published: Jan. 20, 2025
Artificial
intelligence
(AI)
is
gaining
attention
in
energy
economics
due
to
its
ability
process
large-scale
data
as
well
make
non-linear
predictions
and
providing
new
development
opportunities
research
subjects
for
research.
The
aim
of
this
paper
explore
the
trends
application
AI
over
decade
spanning
2014–2024
through
a
systematic
literature
review,
bibliometrics,
network
analysis.
analysis
shows
that
prominent
themes
are
price
forecasting,
innovations
systems,
socio-economic
impacts,
transition,
climate
change.
Potential
future
directions
include
supply-chain
resilience
security,
social
acceptance
public
participation,
economic
inequality
technology
gap,
automated
methods
policy
assessment,
circular
economy,
digital
economy.
This
innovative
study
contributes
understanding
from
perspective
bibliometrics
inspires
researchers
think
comprehensively
about
challenges
hotspots.
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(2), P. e0312155 - e0312155
Published: Feb. 21, 2025
This
study
conducts
a
comparative
analysis
of
how
geopolitical
risk
(GPR)
and
innovation
impact
stock
returns
in
the
defense
industry
based
on
data
from
75
companies
across
17
countries
4
continents.
With
daily
datasets
spanning
January
1,
2014
to
March
29,
2024,
wavelet
coherence
phase
differences
were
used
conduct
analysis.
The
results
revealed
that
had
greater
more
pronounced
during
entire
period
compared
with
influence
GPR
events.
GPRs
exerted
an
uneven
heterogeneous
global
stocks
concentrated
events
generated
uncertainty.
Overall,
we
found
significant
time-varying
dependence
large
number
at
different
time
frequencies.
COVID-19
pandemic
did
not
have
major
industry.
Further,
led
increased
volatility
Russia–Ukraine
war,
leading
In
addition
dominant
role
they
play
world
market,
US
served
as
robust
hedge,
especially
2021
2022.
Defense
UK
are
sensitive
both
innovation,
followed
by
Germany
France.
Comparative
scalograms
China
reveals
Thus,
diversification
opportunities
been
extended
China,
offering
investors
promising
way
capitalize
refuge
periods
disruption.
To
mitigate
rearmament
trend,
suggest
alternative
investment
for
horizons.
China Finance Review International,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 3, 2025
Purpose
This
study
examines
the
convergence
of
energy
diversification,
financial
development
and
per-capita
income
in
OECD
countries.
Design/methodology/approach
The
research
employs
club
test
to
assess
among
countries
uses
Granger
causality
tests
panel
regressions
identify
determinants
convergence,
using
data
from
1997
2021.
Findings
showed
no
overall
but
revealed
clubs
for
each
factor.
indicated
short-run
bi-directional
relationships
between
variables.
Long-run
regression
analysis
confirmed
that
technological
progress
significantly
improves
per
capita
diversification.
Additionally,
it
diversification
development,
a
uni-directional
relationship
U-shaped
effect
on
with
turning
point
at
$67,112.8
year.
Practical
implications
findings
suggest
within
club,
implementing
microeconomic
incentives
technology
diffusion
energy,
production
services
could
help
lagging
catch
up.
Originality/value
pioneers
testing
identifies
this
convergence.
