Sustainability,
Год журнала:
2024,
Номер
16(23), С. 10279 - 10279
Опубликована: Ноя. 24, 2024
Abstract:
China
faces
issues
such
as
air
pollution
and
global
climate
change,
the
Carbon
Emission
Trading
Policy
(CETP)
has
attracted
considerable
attention
a
core
policy
tool
for
achieving
"dual
carbon"
goals.
Based
on
panel
data
from
Pearl
River–West
River
Economic
Belt
(PRWREB)
2008
to
2021,
we
use
Synthetic
Control
Method
(SCM)
Spatial
Difference-in-Differences
(S-DID)
models
explore
reduction
carbon
effects
of
CETP
its
spatial
heterogeneity.
Our
analysis
reveals
several
interesting
insights.
First,
promoted
34.1%
overall
in
levels
pilot
areas,
with
sustained
effects.
Moreover,
spillover
can
reduce
economic
belt
by
29.9%.
Second,
are
more
significant
regions
better
development
active
trading.
It
best
synergistic
CO2
SO2
but
is
less
effective
reducing
PM2.5.
Third,
technological
innovation
greater
than
direct
effects,
most
noticeable
outcomes.
The
negative
effect
industrial
structure
that
it
fails
promote
reduction.
emission
mechanisms
vary
different
targets:
PM2.5
related
energy
efficiency,
advancing
structure,
smoke
dust
innovation.
research
conclusions,
propose
improve
coordinated
governance
system
pollution,
advance
according
local
conditions,
implement
targeted
efficiency
enhancement.
Land,
Год журнала:
2024,
Номер
13(6), С. 729 - 729
Опубликована: Май 23, 2024
China
is
facing
development
challenges,
such
as
the
red
line
of
arable
land,
resource
shortage,
and
tightening
ecological
environmental
constraints.
In
this
context,
improving
land
green
utilization
efficiency
(LGUE)
not
only
an
important
undertaking
to
optimize
spatial
layout
country
improve
carrying
capacity
but
also
inevitable
choice
for
comprehensive
transformation
economic
social
development.
China’s
energy-consuming
right
trading
(ECRT)
energy
transition
demonstration
policy;
however,
its
effect
on
LGUE
has
yet
be
scientifically
evaluated
in
academic
research.
Using
panel
data
260
prefecture-level
cities
from
2009
2021,
study
first
uses
a
difference-in-difference
model
test
ECRT
LGUE,
analyze
transmission
mechanism,
further
examine
impact
urban
characteristic
heterogeneity
policy
effects
multiple
perspectives.
Results
show
following:
(1)
The
pilot
significantly
improves
confirmed
by
robustness
tests.
(2)
enhances
technological
innovation,
promotes
upgrading
industrial
structure,
thereby
LGUE.
(3)
more
significant
enhancement
central
western
cities,
large-scale
resource-based
cities.
(4)
Government
protection
assessment
can
have
positive
moderating
effect,
that
is,
amplifying
conclusion,
we
should
solidly
promote
construction
unified
national
market,
formulate
implementation
plans
tailored
local
conditions,
steadily
To
certain
extent,
paper
reveals
inherent
logic
how
affects
which
provides
opportunities
through
ECRT,
reference
promoting
Land,
Год журнала:
2025,
Номер
14(3), С. 660 - 660
Опубликована: Март 20, 2025
The
manner
of
achieving
high-quality
economic
development
in
China
through
artificial
intelligence
(AI)
has
become
a
focus
academic
attention.
On
the
basis
panel
data
prefecture-level
cities
from
2010
to
2021,
this
research
utilizes
exogenous
impact
implementation
National
New
Generation
Artificial
Intelligence
Innovation
and
Development
Pilot
Zone
(AIPZ)
explore
causal
effect
between
AI
green
total
factor
productivity
(GTFP).
results
are
as
follows:
(1)
significant
enhancement
on
urban
GTFP.
After
using
series
robustness
tests,
such
parallel
trend
sensitivity
test,
heterogeneity
treatment
machine
learning,
conclusion
remains
robust.
(2)
Subsequent
mechanism
analysis
shows
that
GTFP
is
mainly
achieved
by
enhancing
innovation,
promoting
industrial
structure
upgrading,
reducing
land
resource
misallocation.
(3)
Lastly,
heterogeneous.
also
markedly
effects
high
human
capital,
non-resource-based
economies,
levels
consumption
behavior.
This
study
provides
useful
insights
for
develop
achieve
development.
