The application of intelligent technology has an important impact on the green total factor productivity of China’s manufacturing industry. Based on the provincial panel data of China’s manufacturing industry from 2008 to 2017, this article uses the Malmquist–Luenburger (ML) model to measure the green total factor productivity of China’s manufacturing industry, and further constructs an empirical model to analyze the impact mechanism of intelligence on green total factor productivity. The results show that intelligence can increase the green total factor productivity of the manufacturing industry. At the same time, mechanism analysis shows that intelligence can affect manufacturing green total factor …
Frontiers in Environmental Science,
Journal Year:
2023,
Volume and Issue:
10
Published: Jan. 4, 2023
As
an
integration
of
artificial
intelligence
and
advanced
manufacturing
technology,
intelligent
has
realized
the
innovation
mode
created
conditions
for
green
development
industry.
After
constructing
a
theoretical
framework
between
industrial
total
factor
productivity,
this
paper
uses
panel
data
30
provinces
in
China
from
2006
to
2020,
expresses
level
with
robot
density,
discuss
economic
effects
mechanisms
manufacturing.
The
results
show
that
positive
effect
on
quantile
regression
model
indicates
there
is
increasing
marginal
effect.
With
points
going
low
high,
coefficient
statistical
significance
become
larger.
Human
capital
mechanism
improve
productivity.
Green
technology
producer
service
industry
agglomeration
have
strengthened
There
also
heterogeneity
effect,
stronger
regions
launched
local
pilot
schemes
carbon
emissions
trading
transformation
policy.
In
order
give
full
play
technological
dividend
empower
sustainable
development,
argues
we
need
accelerate
thus
improving
empowering
development.
Systems,
Journal Year:
2023,
Volume and Issue:
11(7), P. 369 - 369
Published: July 19, 2023
It
is
important
to
explore
the
intrinsic
mechanism
of
green
finance’s
role
in
widening
development
space
for
China,
order
optimize
structure
financial
and
accelerate
construction
a
modernized
economic
system.
Taking
ecological
environment
improvement
as
new
research
perspective,
this
paper
presents
impacts
mechanisms
finance
on
economy
society
through
fixed-effect
model
moderating-effect
model,
based
panel
data
from
30
provinces
municipalities
China
2011
2020.
The
findings
show
that
significantly
expands
society,
conclusion
did
not
change
after
robustness
tests
such
replacing
main
variables,
adjusting
study
interval,
considering
endogeneity.
In
terms
its
action,
plays
an
mediating
regulating
process
finance,
essentially
magnifying
society.
heterogeneity
analysis,
effect
expansion
largest
eastern
region,
followed
by
northeastern
smallest
central
western
regions.
addition,
positive
relatively
larger
regions
with
higher
urbanization
level,
government
fiscal
expenditure
foreign
investment
advanced
industrial
structure.
contribution
field
development,
revealing
benefits
which
can
help
achieve
high-quality
sustainable
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(3), P. 1260 - 1260
Published: Feb. 2, 2024
Artificial
intelligence
not
only
changes
the
production
methods
of
traditional
industries
but
also
provides
an
important
opportunity
to
decouple
industrial
development
from
environmental
degradation
and
promote
green
economic
growth.
In
order
further
explore
value
AI,
this
paper
constructs
indicator
robot
penetration
at
regional
level,
based
on
idea
Bartik’s
instrumental
variable,
measures
efficiency
using
improved
Super-SBM
model.
Based
a
comprehensive
explanation
influence
mechanism,
spatial
measurement
model
mediating
effect
are
constructed
test
spillover
transmission
mechanism
between
AI
development.
This
study
shows
that
(1)
there
is
significant
inverted
U
shape
in
impact
development;
(2)
heterogeneity
analysis
finds
structural
dividend
more
obvious
capital-intensive
technology-intensive
areas,
which
can
fully
release
its
empowering
(3)
directly
affect
indirectly
by
promoting
technology
innovation
optimizing
structures,
etc.;
(4)
has
U-shaped
development,
local
radiation-driven
performance
spatially
related
areas.
The
research
methodology
be
used
for
future
research,
results
could
provide
support
formulation
applications
policies.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(4), P. 2898 - 2898
Published: Feb. 6, 2023
It
is
no
longer
possible
for
China’s
economy
to
grow
by
relying
on
the
rapid
expansion
of
manufacturing.
On
one
hand,
previous
rough
manufacturing
development
pattern
seriously
harmed
environment.
other
productivity
and
international
competitiveness
have
decreased
as
a
result
disappearance
demographic
dividends
growing
labor
costs.
firms
must
simultaneously
increase
while
lowering
environmental
pollution.
This
study,
which
takes
intelligent
pilot
demonstration
projects
quasi-natural
experiment,
investigates
impact
(IM)
environmental,
social
governance
(ESG)
performance
using
data
from
2149
listed
in
China
2009
2021.
The
results
indicate
that
ESG
could
be
improved
IM.
heterogeneity
test
reveals
IM
non-state-owned
helps
improve
at
1%
significance
level,
effect
not
significant
state-owned
firms.
Moreover,
eastern
level
5%
western
China,
but
central
northeastern
China.
two
channels
through
improves
corporate
are
promoting
innovation
investment
improving
quality
information
study
also
verifies
both
internal
external
supervision
strengthen
positive
performance,
provides
empirical
evidence
strengthening
conclusions
reveal
force
provide
theoretical
support
their
implementation
projects.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(9), P. e30156 - e30156
Published: April 22, 2024
The
manufacturing
sector
is
the
main
battlefield
of
energy
saving
and
carbon
reduction
in
China,
vigorously
promoting
enhancing
green
development
level
are
key
links
to
support
China's
realization
dual-carbon
goal.
article
adopts
SBM-GML
model
measure
industry
China.
Based
on
this,
it
analyzes
spatio-temporal
characteristics
evolution
law
by
using
Dagum
Gini
Coefficient
Kernel
Density
Estimation.
Using
a
spatial
econometric
explore
influencing
factors
industry.
study
finds
that
has
achieved
remarkable
results
recent
years,
but
there
differences
each
region.
regional
significant.
optimization
structure
factor
industry,
positive
spillover
effect
optimization.
However,
shows
negative
effect.
proposes
paths
based
requirements
targets
characteristics,
which
an
important
inspiration
reference
for
world.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(2), P. 678 - 678
Published: Jan. 16, 2025
As
the
main
driving
force
of
new
technological
revolution,
intelligent
development
is
key
to
promoting
high-quality
economic
development.
This
paper
empirically
examines
nonlinear
influence
on
green
economy
efficiency
and
its
action
paths
using
provincial
panel
data
China
from
2009
2021.
The
result
provides
significant
evidence
a
U-shaped
relationship
between
efficiency,
indicating
that
initially
leads
decreases
before
ultimately
increasing.
Additional
analysis
confirms
environmental
regulation,
finance,
industrial
agglomeration
positively
moderate
impact
efficiency.
Furthermore,
heterogeneous
tests
reveal
in
eastern
region
after
release
“Made
2025”
2015,
effect
more
pronounced.
findings
this
provide
beneficial
reference
for
how
leverage
technology
kinetic
energy
growth
under
concept.
Sustainability,
Journal Year:
2022,
Volume and Issue:
14(15), P. 9310 - 9310
Published: July 29, 2022
Total
factor
productivity
(TFP)
is
considered
a
source
of
economic
growth,
and
as
the
constraints
climate
change
energy
security
gradually
increase,
green
total
(GTFP)
also
included
in
meaning
topic.
In
this
study,
we
combine
super-SBM
model
with
GML
index
include
undesirable
outputs
to
measure
GTFP
26
manufacturing
sub-sectors
China
from
2004
2017.
The
results
show
that
sample
period,
growth
rate
China’s
continues
accelerate,
driving
force
mainly
technological
progress
(GTC),
while
technical
efficiency
(GEC)
generally
declines.
After
entering
13th
Five-Year
Plan
GEC
began
trend.
acceleration
improvement
jointly
drove
industry
enter
rapid
upward
trajectory
during
an
average
annual
5.16%.
addition,
different
categories
have
begun
develop
manner
recent
years,
which
caused
by
difference
industry.
Specifically,
equipment
high-tech
highest,
followed
consumer
goods
energy-intensive
manufacturing.
Accordingly,
paper
suggests
should
further
increase
investment
R&D,
optimize
resource
allocation,
formulate
differentiated
policies
for
industries,
so
improve
promote
low-carbon
transformation
