Journal of Innovation & Knowledge,
Journal Year:
2024,
Volume and Issue:
9(2), P. 100484 - 100484
Published: March 29, 2024
To
address
global
climate
change
and
achieve
high-quality
development,
China
has
to
reach
carbon
peaking
neutrality
targets
as
objective
requirements.
Based
on
data
from
30
Chinese
provinces
2011
2021,
this
study
used
a
two-factor
fixed
effects
mechanism
model
test
the
mechanisms
of
digital
finance
performance.
The
findings
imply
that
development
nonlinear
effect
"first
inhibit,
then
promote"
principle
Meanwhile,
both
coverage
breadth
usage
depth
have
more
significant
impact
Digital
financing
can
improve
regional
performance
through
green
technology
innovation,
industrial
upgrades,
energy
structure
optimization.
In
addition,
exhibited
heterogeneity.
Specifically,
higher
level
marketization
lower
urban–rural
income
gap,
effect.
eastern
region
advantage
being
rich
in
resources
technology,
is
obvious
compared
central
western
regions.
Therefore,
should
accelerate
integration
financial
services
with
modern
technologies
low-carbon
based
local
conditions.
Land,
Journal Year:
2024,
Volume and Issue:
13(7), P. 960 - 960
Published: June 30, 2024
The
advancement
of
the
big
data
industry
is
playing
a
pivotal
role
in
urban
land
management
refinement.
Recently,
China
initiated
strategy,
establishing
national
comprehensive
pilot
zones
(NBDCPZs)
across
diverse
regions.
These
initiatives
present
substantial
opportunities
for
enhancing
green
use
efficiency
(ULGUE).
Consequently,
this
study,
we
utilized
super-efficiency
slack-based
measure
(SBM)
model
with
undesirable
outputs
to
assess
ULGUEs
281
prefecture-level
cities
from
2006
2021.
Subsequently,
leveraging
NBDCPZ
establishment
as
quasi-natural
experiment,
employed
difference-in-differences
(DID)
method
empirically
explore
impact
policy
on
ULGUE
first
time.
findings
revealed
following:
(1)
implementation
significantly
enhances
ULGUE;
(2)
effects
are
mediated
through
mechanisms
such
fostering
technological
innovation,
mitigating
resource
misallocation,
and
promoting
industrial
agglomeration;
(3)
heterogeneity
analysis
emphasizes
increased
effectiveness
characterized
by
fewer
natural
resources,
lower
economic
growth
pressures,
stable
development
stages,
moderate
digital
infrastructure
human
capital
levels;
(4)
further
demonstrates
significant
positive
spillover
neighboring
non-pilot
cities,
diminishing
proximity
between
decreases.
Overall,
study
contributes
literature
relationship
economy
utilization,
offering
valuable
insights
achieving
sustainable
development.
Review of Development Economics,
Journal Year:
2024,
Volume and Issue:
28(3), P. 1231 - 1266
Published: March 21, 2024
Abstract
Firm
clusters
are
considered
as
a
contributing
factor
to
local
economic
development.
However,
there
limited
studies
on
the
effect
of
firm
well‐being
rural
communities,
particularly
in
terms
income
improvement,
poverty
reduction,
and
migration.
Our
research
aims
shed
light
these
relationships
at
both
household
commune
levels.
For
empirical
analysis,
we
employ
propensity
score
matching
method
mitigate
endogeneity
bias.
results
reveal
role
increasing
reducing
poverty.
also
contribute
decreasing
labor
emigration
attracting
immigrants.
magnitude
impacts
is
relatively
small,
with
moderate
effects
modest
In
particular,
reduce
rate
by
around
2.36%–2.51%
enhance
annual
approximately
16.46–17.08
million
VND
(725–752
USD).
Furthermore,
analyses
level
highlight
significance
larger
improving
income.
underscores
policy
implications
for
development
specific
emphasis
clusters.
