The impact of artificial intelligence on industrial chain resilience: evidence from China’s manufacturing industry
Abstract
Strengthening
the
robustness
and
stability
of
industrial
chains
is
not
only
a
necessary
pathway
to
achieving
strategic
goals
China’s
new
development
paradigm
but
also
fundamental
pillar
in
building
modern
economic
system
with
Chinese
characteristics.
Drawing
on
panel
data
from
30
provinces
spanning
2011
2022,
this
study
constructs
index
systems
for
artificial
intelligence
manufacturing
industry
chain
resilience
(Mir)
using
entropy
weight
method.
It
systematically
examines
effects
Mir
its
underlying
mechanisms.
The
key
findings
are
as
follows:
(1)
Artificial
significantly
enhances
Mir,
result
confirmed
through
multiple
tests;
(2)
Mechanism
analysis
reveals
that
improves
primarily
technological
innovation
digital
empowerment
effects;
(3)
Threshold
indicate
intelligence’s
impact
exhibits
nonlinear
characteristics
under
varying
levels
infrastructure;
(4)
Heterogeneity
shows
pronounced
structural
divergence
resilience-enhancing
effects,
stronger
observed
high-resilience
clusters,
dimensions
adaptive
recovery
innovative
reconfiguration,
export-oriented
supply
chains.
This
offers
novel
theoretical
perspective
methodological
framework
assessing
within
paradigm.
Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown
Published: April 21, 2025
Language: Английский