Applied Economics,
Год журнала:
2023,
Номер
56(57), С. 7971 - 7986
Опубликована: Дек. 3, 2023
Against
the
background
of
China's
economic
transformation,
it
is
great
practical
significance
to
explore
impact
artificial
intelligence
on
enterprise
innovation
promote
innovation-driven
development
strategies.
Using
patent
data
from
Chinese
industrial
enterprises
and
robot
provided
by
International
Federation
Robotics,
this
study
empirically
tests
improving
abilities
enterprises.
The
finds
following:
(1)
Artificial
significantly
improves
innovation,
conclusion
remains
valid
after
robustness
tests.
(2)
optimizes
skill
structure
labour
force,
increases
R&D
expenditure,
strengthens
technology
spillover
effect,
thus
innovation.
(3)
domestic
market
Internet
have
further
strengthened
role
in
promoting
(4)
more
helpful
ability
technology-intensive,
general
trading,
mixed
non-state-owned
This
provides
important
policy
implications
for
deep
integration
real
economy
realizing
high-quality
development.
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.
Business Strategy and the Environment,
Год журнала:
2024,
Номер
33(5), С. 4375 - 4396
Опубликована: Фев. 7, 2024
Abstract
In
response
to
growing
environmental
challenges,
there
is
an
urgent
need
understand
how
corporations
can
leverage
new
technologies
boost
sustainability
and
eco‐innovation.
This
study
addresses
this
by
investigating
Artificial
Intelligence
adoption
(AIA)
influence
on
green
innovation
(greenovation)
performance
among
Chinese
firms
as
China's
expanding
digital
economy
severe
ecological
pressures
make
it
unique
context.
Specifically,
panel
data
8722
firm‐year
observations
from
listed
2008
2017
analyzed
test
the
relationship.
The
main
findings
show
that
higher
AIA
associated
with
increased
greenovation,
measured
through
patents.
positive
effect
more
pronounced
privately‐owned
enterprises
versus
state‐owned
enterprises.
Additionally,
financial
analysts
are
found
strengthen
AI‐greennovation
link
information
dissemination
scrutiny.
Importantly,
robust
validated
a
battery
of
tests,
including
change
regression,
instrumental
variable
methods,
propensity
score
match
(PSM),
sysGMM.
Overall,
provides
novel
empirical
evidence
AI
holds
promise
enabler
corporate
have
crucial
implications
for
research
practice
regarding
leveraging
sustainability,
especially
in
emerging
economies
like
China
undergoing
rapid
technological
change.
