Environment and Planning B Urban Analytics and City Science,
Год журнала:
2024,
Номер
unknown
Опубликована: Ноя. 19, 2024
In
this
research,
we
utilize
a
refined
model
for
carbon
emissions,
known
as
the
Stochastic
Frontier
Approach
(SFA),
to
measure
extent
of
rebound
effect
across
sample
231
urban
areas
in
China,
spanning
years
2011
through
2019.
Additionally,
study
explores
impact
that
policies
associated
with
advancement
new
urbanization
have
had
on
aforementioned
phenomenon.
The
findings
thesis
indicate
policy
can
reduce
emission
volumes
effectively;
however,
there
is
also
significant
effect,
making
reduction
less
efficient
than
expected.
After
several
robustness
tests,
main
conclusions
remain
consistent
and
reliable.
Our
investigation
into
underlying
mechanisms
reveals
aimed
at
fostering
may
attenuate
by
enhancing
efficiency
composition
industrial
sectors.
However,
technological
advancements
degree
energy
pivotal
potentially
escalating
effect.
analysis
variations
different
scenarios
demonstrates
policy’s
subject
variation
depending
factors,
including
geographical
contexts
like
provincial
boundaries,
administrative
hierarchy
cities,
transportation
infrastructure,
constraints
imposed
resource
availability.
As
multi-target
policy,
although
has
it
social
welfare
which
coincides
development
goal
China.
Ultimately,
some
suggestions
are
offered
enhance
role
promoting
foster
virtuous
interaction
between
economic
growth.
Applied Economics,
Год журнала:
2025,
Номер
unknown, С. 1 - 16
Опубликована: Янв. 24, 2025
Assessing
the
impact
of
new-type
urbanization
(NTU)
on
green
technological
innovation
reveals
how
effectively
policy
fosters
sustainable
growth
and
advancement.
This
helps
policymakers
optimize
strategies
to
promote
eco-friendly
align
national
efforts
with
broader
environmental
goals.
Using
panel
data
from
274
cities
in
China
2009
2021,
this
study
regards
a
NTU
pilot
as
quasi-natural
experiment
uses
multi-period
difference-in-differences
(DID)
method
examine
innovation.Its
heterogeneous
effects
are
examined
perspective
economic
development,
industrial
structure,
resource
endowment,
foundation
innovation.
Based
this,
structure
research
development
(R&D)
expenditure
considered
moderating
variables
analyse
mechanism.
The
findings
revealed
that
(1)
has
significantly
improved
level
innovation;
(2)
promotes
by
optimizing
improving
R&D
expenditure;
(3)
non-resource-based
higher
levels,
advanced
structures,
solid
for
innovation,
significant
effects.
Ecological Indicators,
Год журнала:
2024,
Номер
160, С. 111793 - 111793
Опубликована: Фев. 28, 2024
Coordinating
the
relationship
between
new-type
urbanization
(NTU)
and
carbon
emission
(CE)
reduction
has
emerged
as
a
primary
strategic
objective
in
China.
However,
previous
studies
on
this
subject
have
predominantly
focused
unidirectional
impact
of
NTU
CE,
neglecting
their
spatio-temporal
characteristics
potential
for
decoupling
relationship.
Focusing
county-level
areas
Zhejiang
Province,
study
establishes
an
evaluation
system
measuring
investigates
evolving
CE
from
2007
to
2021,
along
with
influencing
factors.
The
results
are
shown
follows:
(1)
levels
Zhejiang's
counties
higher
northeast
lower
southwest,
minimal
temporal
fluctuations.
Concurrently,
collective
these
witnessed
rapid
increase,
growing
disparity
concentration
primarily
northern
regions.
(2)
From
evolved
suboptimal
significantly
improved,
ultimately
achieving
continuous
optimization,
proportion
"strong
II"
category
increasing
60.7%
final
phase.
(3)
most
significant
factors
economic
predominance
societal
2012,
further
progressed
population
2022.
(4)
Informed
by
types
evolutionary
factors,
we
propose
strategies
implications
aimed
at
fostering
high-quality,
synergistic
development
CE.
These
findings
provide
theoretical
empirical
underpinnings
high-quality
attainment
dual
objectives
