Sustainability,
Journal Year:
2024,
Volume and Issue:
16(22), P. 10125 - 10125
Published: Nov. 20, 2024
As
an
important
means
of
regulating
pollution
emissions,
environmental
regulation
is
crucial
for
reducing
urban
PM2.5.
However,
previous
studies
have
mainly
focused
on
the
emission
reduction
effect
formal
regulations
and
neglected
role
played
by
informal
represented
information
disclosure.
We
employed
a
multiperiod
difference-in-differences
(DID)
model
to
assess
effectiveness
EID
policies
in
mitigating
PM2.5
emissions
investigate
their
abatement
mechanism
focusing
green
innovation
industrial
structure.
The
findings
indicate
that
implementation
significantly
reduces
emissions.
Mechanism
tests
reveal
promotes
reductions
fostering
upgrading
In
addition,
impact
policy
more
marked
resource-based
cities
those
located
interior
regions.
This
study
contributes
haze
China,
offering
empirical
evidence
recommendations
further
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(1), P. 370 - 370
Published: Jan. 6, 2025
The
realization
of
intelligent
transformation
is
an
important
path
for
the
industry
to
move
towards
low-carbon
development.
Based
on
panel
data
from
30
provinces
in
China,
this
study
utilizes
intermediate
effect
model
and
spatial
econometric
analyze
influence
industrial
intelligence
carbon
emissions.
research
reveals
that
helps
with
reduction,
result
still
valid
after
undergoing
various
tests.
Industrial
relies
green
technological
innovation,
structure
upgrading,
energy
intensity
realize
reduction.
There
a
spillover
role
emissions,
which
has
positive
reduction
local
adjoining
regions.
emissions
exhibits
heterogeneity
regional
dimension,
time
level
dimension.
provides
empirical
evidence
implications
using
artificial
achieve
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(9), P. 4145 - 4145
Published: May 3, 2025
In
the
context
of
China’s
accelerated
“dual
transition”
towards
industrial
intelligence
and
green
development,
this
paper
investigates
how
local
government
decarbonization
pressures
affect
urban
in
China.
Using
Low-Carbon
City
Pilot
policy
as
a
quasi-natural
experiment,
staggered
difference-in-differences
approach
Causal
Forest
model
reveal
following
findings:
(1)
Local
significantly
boost
intelligence.
(2)
foster
intelligent
development
by
encouraging
introduction
policies,
which
motivate
enterprises
to
adopt
proactive
strategies.
Meanwhile,
compel
engage
source-based
environmental
governance,
resulting
passive
response.
Together,
these
approaches
enhance
(3)
Fiscal
pressure
negatively
moderates
relationship
between
(4)
There
is
an
inverted
U-shaped
openness
foreign
trade
Conditional
Average
Treatment
Effect
(CATE),
while
CATE
higher
for
cities
with
labor
costs.
(5)
Finally,
effectively
channels
into
measurable
emission
reductions.
These
findings
have
significant
relevance
building
low-carbon,
society.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(19), P. 8640 - 8640
Published: Oct. 6, 2024
Quality
improvement
is
essential
for
a
nation’s
economy
to
transition
from
large
strong.
In
the
21st
century,
new
wave
of
quality
development
has
emerged
globally,
and
upgrading
enterprise
export
products
key
measure
driving
exports
supporting
high-quality
economic
development.
The
artificial
intelligence,
as
core
engine
technological
revolution
industrial
transformation,
will
profoundly
alter
various
aspects
activities,
including
production,
distribution,
exchange,
consumption.
Exploring
cultivating
intelligence-driven
momentum
enhance
inevitably
major
theoretical
practical
issue
common
interest
governments,
enterprises,
academia.
This
paper
uses
China,
developing
export-oriented
economy,
case
study
explore
policy
measures
stimulating
in
intelligence
their
effects
transmission
mechanisms
on
improving
products.
Specifically,
it
constructs
model
examine
relationship
between
smart
city
construction,
development,
By
considering
construction
projects
launched
by
Chinese
government
quasi-natural
experiment
facilitate
employs
matched
city-enterprise
data
2007
2015
utilizes
difference-in-differences
(DID)
methodology
empirically
test
impact
enhancing
According
study,
policy-driven
nature
significantly
enhances
beneficial
particularly
evident
eastern
regions,
well
labor-intensive
capital-intensive
industries,
among
foreign-invested
private
enterprises.
Mechanism
tests
additional
analyses
indicate
that
more
advanced
cities
than
non-smart
cities,
with
gap
them
steadily
widening.
advances
which
subsequently
Furthermore,
can
substantially
contribute
this
facilitating
efficient,
market-oriented
allocation
resources.
