Land,
Год журнала:
2022,
Номер
11(5), С. 604 - 604
Опубликована: Апрель 20, 2022
Against
the
backdrop
of
severe
global
warming,
low-carbon
city
pilot
policy,
with
carbon
emission
reduction
as
its
main
objective,
is
an
important
initiative
for
China
to
fulfil
international
commitment
and
promote
a
green
development
strategy.
However,
none
literature
has
yet
evaluated
whether
policy
promotes
urban
land
use
efficiency
effect.
In
view
this,
this
paper
measures
from
perspective
using
reference
super-efficiency
SBM
model
based
on
data
186
prefecture-level
cities
in
2005–2017,
subsequently
constructs
difference-in-differences
method
test
true
impact
policies
emissions,
uses
propensity
score
matching
robustness.
It
found
that:
(1)
average
level
low
downward
trend;
(2)
overall,
are
predominantly
low-efficiency
cities,
only
high-efficiency
Guangdong
Province
showing
spatial
agglomeration;
(3)
reduces
emissions
while
also
negatively
affecting
efficiency.
Accordingly,
puts
forward
corresponding
recommendations.
Land,
Год журнала:
2022,
Номер
11(7), С. 1052 - 1052
Опубликована: Июль 11, 2022
The
development
and
use
of
urban
land
is
a
major
source
carbon
emissions.
How
to
reduce
emissions
in
the
process
without
harming
economy
has
become
an
extremely
important
issue.
This
paper
integrating
into
efficiency
evaluation
index
system,
measures
low-carbon
using
non-radial
directional
distance
function
analyses
its
spatial
temporal
evolution
influencing
factors
combination
kernel
density
estimation
method
Tobit
model.
study
found
that:
(1)
China’s
shows
fluctuating
tends
converge;
(2)
there
much
room
for
reducing
input
China,
2016
alone,
sample
could
be
reduced
by
10.38%
5.31%,
respectively;
(3)
at
national
level,
finance,
economic
level
population
have
positive
impact
on
efficiency,
while
traffic
negative
effects,
these
effects
show
regional
heterogeneity.
Accordingly,
proposes
corresponding
policy
recommendations.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Июль 22, 2024
Green
finance
(GF)
has
emerged
as
a
promising
tool
to
promote
low-carbon
development,
while
knowledge
is
rather
limited
regarding
the
underlying
mechanism.
This
article
aims
address
this
void
by
constructing
city-level
GF
index
covering
seven
dimensions
and
identifying
main
pathways
through
which
can
facilitate
development
of
cities.
Using
balanced
panel
data
277
Chinese
cities
from
2010
2020,
results
show
that:
(1)
China's
exhibits
an
overall
spatial
differentiation
'high
in
east
low
west',
distribution
carbon
intensity
(CI)
displays
north
south';
(2)
significantly
decreases
CI
cities,
robust
employing
DID
strategies
IV
estimations;
(3)
The
role
on
varies
with
level
whereas
not
GF.
Specifically,
mitigating
effect
significant
both
high
groups,
but
only
group;
(4)
promotes
transition
mainly
adjusting
industrial
structure
than
stimulating
technological
innovation.
Despite
we
also
demonstrate
green
enhances
innovation,
due
multi-factors,
such
technology
progress
it
brings
may
always
translate
into
tangible
improvement
productivity.
For
most
developing
countries
including
China,
future
policy
objective
should
focus
enhancing
sustainable
progress.
International Journal of Environmental Research and Public Health,
Год журнала:
2022,
Номер
19(17), С. 10748 - 10748
Опубликована: Авг. 29, 2022
Green
development
is
necessary
for
building
a
high-quality
modern
economic
system.
The
contribution
of
the
article
mainly
includes
following
three
parts:
First
study
on
urban
land
green
use
efficiency
(ULGUE)
in
30
provinces
China
from
2008
to
2018
by
adopting
epsilon-based
measure
(EBM)
model
with
undesirable
outputs
yield
more
accurate
and
reasonable
assessment
result.
In
addition,
spatial
agglomeration
characteristics
were
analysed
according
autocorrelation
analysis.
Thirdly,
Durbin
was
applied
analyse
driving
factors
WRGUE,
which
considers
effects.
findings
are
as
follows:
(1)
regional
differences
ULGUE
very
significant,
number
decreasing
coastal
region
inland.
(2)
showed
significantly
positive
autocorrelation,
homogeneity
significant
than
heterogeneity
ULGUE.
(3)
Economic
level,
technical
progress
population
density
have
impact
ULGUE,
while
higher
proportion
secondary
industry
GDP,
lower
level
research
results
may
be
useful
reference
point
policymakers.
