Greening the Urban Landscape: Smart City Initiatives and Pollution Reduction in China
Systems,
Год журнала:
2025,
Номер
13(3), С. 165 - 165
Опубликована: Фев. 27, 2025
With
the
rapid
development
of
China’s
economy,
issue
environmental
pollution
during
urbanization
has
become
increasingly
prominent,
posing
a
significant
threat
to
residents’
health
and
quality
life.
While
existing
studies
have
explored
economic
impacts
smart
city
initiatives
their
effects
on
carbon
emissions,
relationship
between
policies
urban
emissions
remains
underexplored.
This
study
fills
this
gap
by
examining
impact
pilot
pollutant
using
panel
data
from
280
Chinese
cities
(2007–2021)
multi-period
DID
model.
The
findings
demonstrate
that
construction
effectively
reduces
level
in
cities,
with
effect
persisting
even
after
conducting
various
robustness
tests.
Furthermore,
our
mechanism
analysis
reveals
upgrading
industrial
structure,
enhancing
green
innovation
capabilities,
improving
energy
efficiency
are
crucial
means
which
mitigates
emissions.
Additionally,
we
identify
enhancement
digital
infrastructure
reinforcement
regulations
can
enhance
mitigation
efficacy
development.
suppressive
is
more
pronounced
non-resource-based
cities.
Язык: Английский
Has the green total factor productivity increased in the early stage of the establishment of smart city
PLoS ONE,
Год журнала:
2025,
Номер
20(5), С. e0322922 - e0322922
Опубликована: Май 22, 2025
In
the
context
of
global
climate
change,
green
development
has
become
main
goal
smart
city
construction.
Most
existing
research
suggests
that
cities
will
enhance
level
total
factor
productivity
(GTFP)
in
cities.
However,
this
study
found
reduce
production
short
term
and
increase
it
long
term.
Based
on
this,
article
selects
three
batches
China
from
2013
to
2019,
uses
Malmquist
index
model,
common
frontier
function,
panel
data
method
analyze
GTFP
model
early
stage
construction
China.
The
that:
(1)
was
less
than
1
showed
a
downward
trend,
indicating
(2)
Technical
efficiency
is
reason
for
decline
rise
medium
Specifically,
there
U-shaped
relationship
between
technological
their
GTFP.
For
every
1%
technical
later
stages
cities,
increases
by
47.3%.
(3)
process
shows
trend
decreasing
increasing
middle
stages.
greater
fluctuating
upward
improve
city’s
run.
view
we
should
attach
importance
ecological
protection
take
effective
measures
carbon
emissions
during
period.
During
period,
policies
such
as
taxation
can
be
implemented
encourage
companies
adopt
cleaner
technologies,
strengthen
exchange
technologies
accelerate
flow
knowledge,
redundant
information
infrastructure,
thus
minimize
This
provides
policy
recommendations
decision-making
references
further
promoting
new
worldwide.
Язык: Английский
Effects of public procurement on corporate total-factor carbon productivity: evidence from China
Journal of Environmental Planning and Management,
Год журнала:
2024,
Номер
unknown, С. 1 - 24
Опубликована: Сен. 18, 2024
Язык: Английский
Smarter and Cleaner? The Carbon Reduction Effect of Smart Cities: A Perspective on Green Technology Progress
Sustainability,
Год журнала:
2024,
Номер
16(18), С. 8048 - 8048
Опубликована: Сен. 14, 2024
In
the
context
of
global
climate
change
problem
intensifying
due
to
a
dramatic
increase
in
carbon
emissions,
smart
cities,
as
topical
application
digitalization
and
intelligence,
have
become
new
urban
governance
mode
for
countries,
which
helps
achieve
sustainable
development.
This
research
studies
relationship
between
city
construction
(SCC)
dioxide
emissions
based
on
differences-in-differences
model
(DID)
propensity
score
matching
(PSM)
promote
China
dual
goals
high-quality
The
findings
are
follows:
(a)
SCC
could
emission
reduction
by
reducing
an
average
11.4%,
also
has
significant
long-term
dynamic
effects.
Specifically,
more
obvious
effects
activities,
such
industrial
production
waste
treatment.
(b)
Mechanism
verification
shows
that
green
technology
progress
is
booster
effect
SCC.
pilot
project
can
output
patents,
transfer
consumption
patterns
environmentally
friendly
manner.
total
factor
productivity
(TFP)
through
rational
allocation
efficient
use
resources,
thus
emissions.
(c)
Research
heterogeneity
high
level
human
capital,
material,
financial
resources
provide
support
cities
better
effect.
Among
them,
material
best
process
SCC,
reduce
about
6.6–17.7%.
study
useful
policymakers
continuously
dynamically
adjust
development
strategies
future,
balance
socioeconomic
prosperity
environmental
sustainability.
Язык: Английский