The
stabilization
of
growth
and
preservation
employment
are
the
primary
objectives
current
new
economic
normal.
question
whether
low-carbon
transition
can
become
an
opportunity
or
a
shock
for
expanding
in
context
green
development
is
one
that
must
be
explored.
This
paper
utilizes
multi-temporal
double-difference
model
with
China’s
2007-2019
panel
data
to
examine
impact
Low-carbon
city
pilot
policy
(LCCP)
on
at
meso-regional
level
micro-firm
level.
study
demonstrates
both
regional
firm
level,
LCCP
effectively
boost
average
treatment
effects
approximately
0.506%
5.624%,
respectively.
positive
varies
significantly
depending
nature
ownership,
location,
industry
type,
energy
consumption
enterprise.
Specifically,
effect
more
pronounced
state-owned
enterprises,
enterprises
eastern
region,
secondary
industries,
high-energy-consuming
industries.
Mechanism
analysis
further
reveals
boosts
via
promoting
government
environmental
subsidies
enterprise
investment
scale
create
jobs.
These
findings
provide
recommendations
achieve
win-win
goal
sustainable
development.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(1), P. 368 - 368
Published: Jan. 6, 2025
The
low-carbon
city
pilot
(LCCP)
policy
represents
a
pioneering
approach
to
fostering
sustainable
development.
It
offers
scientific
framework
reconcile
the
relationship
between
economic
growth,
resource
utilization,
and
environmental
protection.
This
study
measures
urban
ecological
efficiency
(UEE)
through
non-radial
directional
distance
function
(NDDF)
model
using
panel
data
of
284
cities
in
China,
from
2007
2021,
analyzes
impact
LCCP
on
UEE,
adopting
multi-period
difference-in-differences
(DID)
model.
results
baseline
regression
indicate
that
exhibit
an
average
is
approximately
3.0%
higher
than
observed
non-pilot
cities,
which
pass
both
parallel
trend
test
robustness
test.
Mechanism
analysis
reveals
industrial
upgrading
energy
consumption
reduction
are
primary
pathways
enhances
UEE.
In
addition,
effects
particularly
significant
improving
UEE
non-resource-based
large
eastern
region.
Finally,
spatial
spillover
demonstrated
by
can
effectively
inform
neighboring
strategies
enhance
their
research
findings
provide
invaluable
insight
direction
for
China’s
efforts
development
sustainability.
Energies,
Journal Year:
2025,
Volume and Issue:
18(7), P. 1857 - 1857
Published: April 7, 2025
This
study
investigates
the
impact
of
environmental
regulations
and
marketization
on
energy
efficiency
in
China
using
panel
data
from
30
provinces
covering
period
2008
to
2016.
The
analysis
employs
fixed
effects
regression,
quantile
heterogeneity
methods
provide
comprehensive
insights.
regression
results
reveal
that
both
command-and-control
(CAC)
market-based
(MBR)
exert
a
negative
efficiency.
Notably,
significantly
mitigated
adverse
CAC
regulations.
Quantile
indicates
impacts
are
more
pronounced
at
lower
levels,
whereas
(MR)
mitigates
these
effects.
Heterogeneity
further
identified
regional
disparities,
with
yielding
significant
Western
Central
regions
MBR
showing
stronger
region.
advocate
for
regionally
differentiated
policies
account
local
economic,
infrastructural,
institutional
contexts
enhance
outcomes
rather
than
relying
one-size-fits-all
approaches.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(13), P. 5520 - 5520
Published: June 28, 2024
Studying
the
implementation
benefits
of
low-carbon
city
pilot
policies
in
fostering
green,
high-quality
development
is
critical
for
China’s
carbon
peaking
and
neutrality
targets.
This
research
examines
effect
urban
governance
on
using
a
multi-temporal
DID
model
panel
data
from
281
prefecture-level
cities
China
2007
to
2020.
The
findings
are
as
follows:
(1)
policy
can
considerably
enhance
green
cities;
(2)
mechanism
tests
reveal
that
fintech
innovation
moderate
role
power
support
wisdom
empowerment
successful
promotion
achieve
areas;
(3)
becomes
more
significant
cross
threshold
value;
(4)
heterogeneity
analysis
shows
conducive
eastern
regions,
financially
developed
cities,
non-resource-based
cities.
conclusions
drawn
this
paper
offer
valuable
guidance
adoption
appropriate
environmental
designs
aimed
at
attaining
development.
