Polish Journal of Environmental Studies,
Journal Year:
2024,
Volume and Issue:
33(5), P. 5677 - 5692
Published: June 26, 2024
The
Chinese
government
is
constantly
pursuing
a
green
transformation
of
its
industry
under
the
United
Nations
Sustainable
Development
Goals
(SDGs).At
same
time,
booming
digital
economy
has
brought
new
opportunities
and
challenges
to
government,
it
relevant
discuss
contribution
China's
development.In
this
study,
we
use
panel
data
for
247
cities
in
China
from
2011-2019.The
impact
on
total
factor
productivity
examined,
mechanism
technological
innovation
process
verified.It
been
found
that
can
promote
GTFP
positive
moderating
role
process.We
also
verify
threshold
effect
innovation,
be
inflated
when
reaches
corresponding
threshold.Of
course,
these
findings
pass
series
robustness
tests,
they
are
plausible.Accordingly,
put
forward
some
policy
recommendations
mitigate
possible
problems
reality
order
production
China.
Journal of Innovation & Knowledge,
Journal Year:
2023,
Volume and Issue:
8(3), P. 100384 - 100384
Published: May 16, 2023
Intelligent
manufacturing
offers
opportunities
for
green
technology
innovation
at
a
low
cost,
helps
eliminate
outdated
equipment,
and
improves
pollution
efficiency,
which
is
essential
environmental
protection.
From
the
perspective
of
industrial
sector,
based
on
data
269
Chinese
cities,
this
study
empirically
examines
impacts
intelligent
ecological
environment
using
fixed
effect
model
unconditional
quantile
model.
The
research
results
show
that
can
significantly
reduce
concentration
PM2.5
in
air
by
optimizing
resource
allocation
during
production
operation.
external
mechanism
technological
plays
positive
mediating
role
impact
to
improve
quality.
marginal
nonlinear,
main
trend
M-type
distribution
increasing
first,
then
decreasing,
rising.
In
particular,
has
greater
welfare
lower
quantiles.
provide
viable
path
government
actively
plan
strategic
layout
achieving
goal
high-quality
economic
development.
Humanities and Social Sciences Communications,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: Jan. 18, 2024
Abstract
Sustainable
Development
Goal
8
proposes
the
promotion
of
full
and
productive
employment
for
all.
Intelligent
production
factors,
such
as
robots,
Internet
Things,
extensive
data
analysis,
are
reshaping
dynamics
labour
supply
demand.
In
China,
which
is
a
developing
country
with
large
population
force,
analysing
impact
artificial
intelligence
technology
on
market
particular
importance.
Based
panel
from
30
provinces
in
China
2006
to
2020,
two-way
fixed-effect
model
two-stage
least
squares
method
used
analyse
AI
assess
its
heterogeneity.
The
introduction
installation
represented
by
industrial
robots
Chinese
enterprises
has
increased
number
jobs.
results
some
mechanism
studies
show
that
increase
productivity,
deepening
capital
refinement
division
been
introduced
into
through
robotics
have
successfully
mitigated
damaging
adoption
robot
employment.
Rather
than
traditional
perceptions
crowding
out
jobs,
overall
exerted
promotional
effect.
positive
effect
exhibits
an
inevitable
heterogeneity,
it
serves
relatively
improves
job
share
women
workers
labour-intensive
industries.
Mechanism
research
shown
virtual
agglomeration,
evolved
agglomeration
era
digital
economy,
important
channel
increasing
findings
this
study
contribute
understanding
modern
technologies
well-being
people
countries.
To
give
play
role
employment,
we
should
improve
social
security
system,
accelerate
process
high-end
domestic
deepen
reform
education
training
system.
Frontiers in Ecology and Evolution,
Journal Year:
2023,
Volume and Issue:
11
Published: April 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.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(8), P. 6436 - 6436
Published: April 10, 2023
Improving
agricultural
green
total
factor
productivity
is
important
for
achieving
high-quality
economic
development
and
the
SDGs.
Digital
inclusive
finance,
which
combines
advantages
of
digital
technology
represents
a
new
scheme
that
can
ease
credit
constraints
information
ambiguity
in
production.
First,
this
study
focused
on
agro-ecological
functions;
we
incorporated
carbon
sequestration
emissions
extraction
into
evaluation
system
used
mixed-direction-distance
function
to
calculate
productivity.
Then,
based
panel
data
from
31
provinces
China
collected
2011
2021,
two-way
fixed
effect
model,
interactive
effect,
plausibly
exogenous
variable
method
test
impact
financial
inclusion
productivity,
its
mechanism
action.
The
panel-corrected
standard
error
Driscoll–Kraay
methods
were
account
unobserved
heterogeneity
cross-section
dependence
data.
results
showed
significantly
improve
This
conclusion
remained
valid
following
robustness
tests
using
spatial
econometric
model
changing
explanatory
variables.
by
facilitating
transfer
land.
Sound
infrastructure
strict
policies
enhance
role
finance
promoting
agriculture.
These
conclusions
could
help
sector
formulate
flexible,
accurate,
reasonable,
appropriate
products
would
support
agriculture,
sustainable
development.
Systems,
Journal Year:
2024,
Volume and Issue:
12(2), P. 55 - 55
Published: Feb. 5, 2024
Air
pollution
severely
threatens
people’s
health
and
sustainable
economic
development.
In
the
era
of
digital
economy,
modern
information
technology
is
profoundly
changing
way
governments
govern,
production
mode
enterprises,
living
behavior
residents.
Whether
can
bring
ecological
welfare
needs
to
be
further
studied.
Based
on
panel
data
from
269
Chinese
cities
2006
2021,
this
study
empirically
examines
impact
air
by
using
two-way
fixed
effect
model.
The
results
show
that
will
significantly
reduce
concentration
fine
particles
in
help
protect
atmospheric
environment.
are
still
valid
after
interactive
model
two-stage
least
square
method
robustness
test
causality
identification.
Digital
also
promoting
green
innovation,
improving
energy
efficiency,
easing
market
segmentation.
reducing
heterogeneous.
plays
a
more
substantial
role
resource-based
areas
with
high
degree
modernization
commodity
supply
chain.
positive
affected
amount
pollutants
emitted.
When
PM2.5
high,
protecting
atmosphere
strongly
highlighted.
This
research
beneficial
exploration
environment
while
building
an
civilization
society.
conclusion
urban
managers,
public,
business
operators
entirely
use
equipment
such
as
5G,
remote
sensing,
Internet
Things
their
respective
fields
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(8), P. 6401 - 6401
Published: April 8, 2023
The
coordinated
promotion
of
pollution
control
and
carbon
reduction
is
intended
to
build
a
more
beautiful
China.
Intelligent
industrial
technology
plays
an
important
role
in
the
fight
against
climate
change
improving
ecological
environment.
Based
on
panel
data
from
30
provinces
China
2006
2020,
we
used
two-way
fixed
effects
model
evaluate
synergistic
intelligent
transformation
its
mechanisms.
results
showed
that
introduction
installation
robots
by
enterprises
significantly
reduced
emissions
concentration
fine
particles
air,
as
well
having
effect
reducing
carbon.
This
conclusion
was
still
robust
after
using
instrumental
variable
methods
perform
endogenous
tests.
study
also
intelligence
through
mechanisms
promoted
green
technological
innovation
improved
energy
efficiency.
conclusions
this
could
provide
evidence
for
use
digital
technologies
promote
environmental
protection
achieve
goal
neutrality,
play
significant
economic
societal
transformation.
