How digital economy mitigates urban carbon emissions: the green facilitative power of industrial coagglomeration
Applied Economics,
Год журнала:
2025,
Номер
unknown, С. 1 - 19
Опубликована: Апрель 6, 2025
Язык: Английский
The Effect of Intelligent Development on Green Economy Efficiency: An Analysis Based on China’s Province-Level Data
Sustainability,
Год журнала:
2025,
Номер
17(2), С. 678 - 678
Опубликована: Янв. 16, 2025
As
the
main
driving
force
of
new
technological
revolution,
intelligent
development
is
key
to
promoting
high-quality
economic
development.
This
paper
empirically
examines
nonlinear
influence
on
green
economy
efficiency
and
its
action
paths
using
provincial
panel
data
China
from
2009
2021.
The
result
provides
significant
evidence
a
U-shaped
relationship
between
efficiency,
indicating
that
initially
leads
decreases
before
ultimately
increasing.
Additional
analysis
confirms
environmental
regulation,
finance,
industrial
agglomeration
positively
moderate
impact
efficiency.
Furthermore,
heterogeneous
tests
reveal
in
eastern
region
after
release
“Made
2025”
2015,
effect
more
pronounced.
findings
this
provide
beneficial
reference
for
how
leverage
technology
kinetic
energy
growth
under
concept.
Язык: Английский
Effects of High-Tech Industrial Agglomeration and Innovation on Regional Economic Development in China: Evidence from Spatial-Temporal Analysis and Spatial Durbin Model
Economic Analysis and Policy,
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 1, 2025
Язык: Английский
Interpretable machine learning for analyzing the spatial-temporal evolution and influencing factors of green economic development
Rui Ding,
Xiaofeng Ran,
Shuyue Jiang
и другие.
Expert Systems with Applications,
Год журнала:
2025,
Номер
unknown, С. 127863 - 127863
Опубликована: Апрель 1, 2025
Язык: Английский
Industrial Co-Agglomeration and Urban Green Total Factor Productivity: Multidimensional Mechanism and Spatial Effect
Sustainability,
Год журнала:
2024,
Номер
16(21), С. 9415 - 9415
Опубликована: Окт. 30, 2024
The
impact
of
industrial
co-agglomeration
(ICA)
on
green
total
factor
productivity
(GTFP)
has
garnered
considerable
academic
attention.
However,
there
remains
a
gap
in
research
systematically
investigating
how
ICA
affects
China’s
GTFP
within
the
framework
development,
specifically
by
analyzing
transmission
mechanisms,
regulatory
and
spatial
spillover
effects.
To
address
this
gap,
study
utilizes
panel
data
from
283
Chinese
cities,
spanning
years
2006
to
2020,
conducts
both
theoretical
empirical
analyses
examine
ICA’s
influence
through
these
three
mechanisms.
Our
findings
indicate
that
significantly
enhances
alleviating
mismatch
capital
energy
factors
but
does
not
improve
addressing
labor
mismatches.
Furthermore,
when
intensity
local
government
competition
exceeds
threshold
14.3825,
positive
diminishes,
whereas
an
environmental
regulation
above
0.4381
strengthens
effect
GTFP.
was
found
substantially
increase
generate
effects
surrounding
cities
100
km
radius.
Co-agglomeration
high-end
low-end
producer
services
with
manufacturing
boosts
GTFP,
while
also
adjacent
cities.
In
megacities,
positively
influences
nearby
large
tends
suppress
neighboring
areas.
Additionally,
exception
Middle
Yangtze
River
Pearl
Delta
city
clusters,
urban
clusters
GTFP;
cluster
promotes
areas,
Chengdu–Chongqing
inhibits
Язык: Английский