Applied Economics,
Год журнала:
2023,
Номер
56(25), С. 2975 - 2989
Опубликована: Апрель 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 & Environment,
Год журнала:
2023,
Номер
unknown
Опубликована: Дек. 25, 2023
This
paper
investigates
the
intricate
relationship
between
artificial
intelligence
(AI)
and
green
innovation
within
context
of
sustainable
development
goals.
As
societies
strive
to
achieve
sustainability,
understanding
dynamics
technological
advancements
environmental
progress
becomes
paramount.
Drawing
from
panel
data
encompassing
51
countries
2000
2019,
this
study
employs
fixed-effects
models,
mediated
effects
spatial
Durbin
models
meticulously
examine
influence
AI
on
innovation.
The
empirical
findings
reveal
a
robust
significantly
positive
correlation
innovation,
highlighting
critical
role
in
fostering
Heterogeneity
analysis
across
developed
developing
economies
delineates
variations
impact
shedding
light
economic
levels
financial
structures.
Developed
nations
showcase
more
pronounced
AI-green
compared
their
counterparts,
complexities
technology
adoption
distinct
landscapes.
Moreover,
delves
into
transmission
mechanisms
underlying
nexus,
revealing
mediating
roles
industrial
structure
human
capital.
Industrial
upgrading
enhancement
capital
emerge
as
crucial
pathways
through
which
indirectly
stimulates
Spatial
analyses
reveals
relevance
globally,
emphasizing
AI's
substantial
not
only
domestic
spheres
but
also
neighboring
regions.
There
are
significant
direct,
indirect,
total
its
spillover
characteristics
catalytic
it
plays
driving
collaborative
global
scale.
research
contributes
nuanced
insights
interplay
providing
foundation
for
policymakers,
businesses,
researchers
comprehend
multifaceted
dimensions
interventions
emphasize
imperative
efforts
utilizing
potential
propel
thereby
advancing
sustainability
agendas.
Humanities and Social Sciences Communications,
Год журнала:
2024,
Номер
11(1)
Опубликована: Авг. 14, 2024
Abstract
This
study
examines
the
multifaceted
impact
of
artificial
intelligence
(AI)
on
environmental
sustainability,
specifically
targeting
ecological
footprints,
carbon
emissions,
and
energy
transitions.
Utilizing
panel
data
from
67
countries,
we
employ
System
Generalized
Method
Moments
(SYS-GMM)
Dynamic
Panel
Threshold
Models
(DPTM)
to
analyze
complex
interactions
between
AI
development
key
metrics.
The
estimated
coefficients
benchmark
model
show
that
significantly
reduces
footprints
emissions
while
promoting
transitions,
with
most
substantial
observed
in
followed
by
footprint
reduction
reduction.
Nonlinear
analysis
indicates
several
insights:
(i)
a
higher
proportion
industrial
sector
diminishes
inhibitory
effect
but
enhances
its
positive
transitions;
(ii)
increased
trade
openness
amplifies
AI’s
ability
reduce
promote
(iii)
benefits
are
more
pronounced
at
levels
development,
enhancing
(iv)
as
transition
process
deepens,
effectiveness
reducing
increases,
role
further
transitions
decreases.
enriches
existing
literature
providing
nuanced
understanding
offers
robust
scientific
foundation
for
global
policymakers
develop
sustainable
management
frameworks.
Frontiers in Ecology and Evolution,
Год журнала:
2023,
Номер
11
Опубликована: Апрель 24, 2023
Introduction
Promoting
the
development
of
digital
technology
is
an
important
step
in
meeting
challenge
global
climate
change
and
achieving
carbon
peaking
neutrality
goals.
Methods
Based
on
panel
data
Chinese
cities
from
2006
to
2020,
this
paper
used
econometrics
investigate
impact
mechanism
emissions.
Results
The
results
showed
that
can
significantly
reduce
emission
intensity
improve
efficiency.
These
remained
robust
after
changing
estimation
method,
adding
policy
omission
variables,
replacing
core
solving
endogeneity
problem.
Digital
indirectly
emissions
by
promoting
green
technological
innovation
reducing
energy
intensity,
it
plays
a
significant
role
reduction
practices
trading
policies
comprehensive
national
big
pilot
zones.
replicability,
non-exclusivity,
high
mobility
help
accelerate
spread
knowledge
information
between
different
cities,
which
leads
spillover
effect
reductions.
Our
unconditional
quantile
regression
model
technology’s
continuously
decreases
with
increases
dioxide
Discussion
provide
evidence
for
potential
use
goal
neutrality,
great
significance
high-quality
transformation
economy
society.
Journal of Cleaner Production,
Год журнала:
2023,
Номер
405, С. 137006 - 137006
Опубликована: Март 30, 2023
As
the
dyad
of
Industry
4.0
(I4.0)
and
innovation
have
gained
greater
attention
from
researchers,
practitioners
policy
makers,
integration
sustainability
sustainable
development
paradigms
to
this
become
fundamental
sustain
businesses’
competitive
advantage.
A
variety
I4.0
based
innovations
with
several
implications
exists
in
literature,
but
they
largely
address
independent
distinct
knowledge
areas,
which
yields
an
opportunity
explore
interconnections
I4.0-innovation-sustainability
nexus.
Therefore,
research
performs
a
systematic
literature
review
synthesize
nexus
by
investigating
how
combination
technologies
different
types
innovations,
could
contribute
thereby
providing
implications.
Our
portfolio
derived
three
databases
analyzed
58
journal
articles
that
addressed
simultaneous
links
I4.0-innovation-sustainability.
The
primary
findings
show
results
various
including
process,
product,
business
model,
supply
chain,
organizational,
open,
marketing
advance
triple
bottom
line
(TBL)
sustainability,
circular
economy
(CE),
models
(SBMs)
achievement
goals
(SDGs).
While
most
studies
focus
on
model
TBL
CE
implications,
more
is
required
significant
overlooked
areas
such
as
SDGs.
