How do enterprises’ green collaborative innovation network locations affect their green total factor productivity? Empirical analysis based on social network analysis
Kaixuan Di,
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Runhan Xu,
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Zuankuo Liu
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et al.
Journal of Cleaner Production,
Journal Year:
2024,
Volume and Issue:
438, P. 140766 - 140766
Published: Jan. 1, 2024
Language: Английский
Does government environmental attention drive green total factor productivity? Evidence from China
Jiaxin Du,
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Zhenzhen Zhong,
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Qiaoling Shi
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et al.
Journal of Environmental Management,
Journal Year:
2024,
Volume and Issue:
366, P. 121766 - 121766
Published: July 9, 2024
Language: Английский
Does industrial robot adoption affect green total factor productivity? – Evidence from China
Siying Chen,
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Siying Mu,
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Xingwang He
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et al.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
161, P. 111958 - 111958
Published: April 1, 2024
This
study
investigates
the
impact
of
industrial
robot
adoption
on
Green
Total
Factor
Productivity
(GTFP)
against
backdrop
increasing
demand
for
both
proliferation
and
green
development
utilizing
urban
panel
data
from
Chinese
cities
spanning
2007–2019.
Findings
reveal
that
significantly
improves
GTFP,
exerting
its
influence
through
mechanisms
such
as
energy
saving,
technological
innovation,
scale
output,
linkages.
Certain
market
factors
moderate
GTFP.
Initially,
regions
reliant
high-pollution
industries
resource-based
experience
minimal
effects,
which
may
diminish
or
even
reverse
GTFP
improves.
Additionally,
positive
robots
is
particularly
noticeable
in
with
advanced
finance.
research
significant
understanding
connection
between
at
level
exploring
pathways
transformation.
Language: Английский
Spatial-temporal evolution of carbon emissions and spatial-temporal heterogeneity of influencing factors in the Bohai Rim Region, China
Yangyang Zhang,
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Wenxia Hong
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Environmental Science and Pollution Research,
Journal Year:
2024,
Volume and Issue:
31(9), P. 13897 - 13924
Published: Jan. 24, 2024
Language: Английский
The Power of Collaboration: How Does Green Innovation Network Affect Urban Green Total Factor Productivity?
Hongrui Jiao,
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Hongbing Deng,
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Shengmei Hu
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et al.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(2), P. 433 - 433
Published: Jan. 8, 2025
Global
climate
change
has
necessitated
a
transition
to
sustainable
development,
prompting
nations
prioritize
green
total
factor
productivity
(GTFP)
as
key
indicator
of
economic
and
environmental
efficiency.
This
study
examines
the
role
innovation
network
(GIN)
in
enhancing
urban
GTFP
within
China’s
Yangtze
River
Delta
(YRD)—a
region
pivotal
national
growth
ecological
sustainability.
Using
data
from
41
cities
spanning
2011
2020,
we
constructed
GIN
based
on
inter-city
cooperative
patents
analyzed
positions
using
social
analysis
(SNA).
Urban
was
assessed
through
Super-SBM
model,
two-way
fixed-effects
panel
models,
along
with
threshold
effect
were
applied
evaluate
impacts
GTFP.
The
findings
reveal
that
stronger
significantly
enhance
GTFP,
finance
further
amplifying
this
effect.
These
results
provide
actionable
insights
for
policymakers
developing
countries,
highlighting
importance
integrated
strategies
enhanced
financial
systems
promote
development.
Language: Английский
Effects of Industrial Structure on the Green Utilization Efficiency of Urban Land: A Case Study of the Bohai Rim Region, China
Tiantian Guo,
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Xiaoming Wang
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Sustainability,
Journal Year:
2024,
Volume and Issue:
16(17), P. 7832 - 7832
Published: Sept. 8, 2024
The
green
utilization
of
urban
land
is
a
critical
component
regional
high-quality
development.
Enhancing
the
efficiency
(GUEUL)
great
significance
to
improving
quality
ecological
environment
and
achieving
lifestyle
low-carbon
production.
With
process
urbanization,
industrial
structure
constantly
adjusted,
which
has
an
impact
on
utilization.
Taking
43
cities
in
Bohai
Rim
region
as
example,
super-efficiency
slack-based
measure
model
with
undesirable
outputs
(super-SBM-undesirable
model)
was
employed
evaluate
GUEUL
from
2006
2021,
panel
quantile
used
explore
GUEUL.
results
showed
that
appeared
fluctuating
upward
trend
0.664
0.837
2021.
High-value
zones
shifted
western
Liaoning
province
southern
Shandong
“C”-shaped
belt
around
coastline
expanded
continuously,
while
low-value
decreased
significantly.
Furthermore,
influence
significantly
positive,
but
there
were
significant
differences
among
different
levels.
Industrial
upgrading
exerted
most
effect
improvement
zones,
rationalization
dominant
high-value
technologization
more
medium-low-value
zones.
Therefore,
differentiated
adjustment
policies
should
be
formulated
based
actual
condition
each
city
improve
Language: Английский
The ambient air quality standards, green innovation, and urban air quality: evidence from China
Han Zhang,
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Dandan Zhang,
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Wenfan Qian
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et al.
Scientific Reports,
Journal Year:
2023,
Volume and Issue:
13(1)
Published: Nov. 11, 2023
Abstract
As
China’s
economy
transitions,
environmental
issues
have
become
a
major
concern.
This
study
examines
the
impact
of
Ambient
Air
Quality
Standards
(AAQS)
on
urban
air
quality
using
panel
data
from
284
cities
in
China
2006
to
2019.
The
utilizes
DID
(Difference-in-Difference)
models
analyze
regulatory
effects
AAQS
and
its
spatial
spillover.
Additionally,
serial
multiple
mediation
are
constructed
investigate
role
green
innovation.
findings
reveal
that
positively
affects
quality,
albeit
with
notable
“hysteresis
effect.”
Local
implementation
worsens
neighboring
within
distance
400
km,
but
beyond
effect
is
reversed.
Heterogeneity
analysis
shows
improves
central
cities,
large-sized
medium-sized
weak
governance,
resource-based
cities.
Mechanism
tests
suggest
may
enhance
by
promoting
innovation
optimizing
industrial
structure.
Especially,
either
energy-use
or
industrial-structure
triggered
can
contribute
improvement
quality.
Language: Английский
Exploring the Spatial Correlation Network and Its Formation Mechanisms in Urban Land Use Performance: A Case Study of the Yangtze River Economic Belt
Han-hua Fang,
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Ji Chai,
No information about this author
Zhanqi Wang
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et al.
Land,
Journal Year:
2024,
Volume and Issue:
13(7), P. 1019 - 1019
Published: July 8, 2024
Urban
land
is
the
primary
location
for
manufacturing
and
services,
facilitating
expansion
interconnectedness
of
economic
activities
factor
flows
to
shape
various
urban
land-use
performances
(ULUP).
Exploring
these
spatial
linkages
performance
can
play
a
crucial
role
in
fostering
cohesive
development.
Taking
109
prefecture-level
cities
as
research
samples,
this
paper
explores
characteristics
influencing
factors
network
associated
with
ULUP
Yangtze
River
Economic
Belt
through
modified
gravity
model,
analysis
QAP
analysis.
The
shows
that
has
shown
an
N-shaped
trend
over
past
two
decades.
It
formed
correlations,
Chongqing,
Shanghai,
Wuhan
emerging
central
nodes.
Notably,
correlation
predominantly
occurs
between
geographically
adjacent
cities,
weaker
links
Belt’s
upstream,
midstream,
downstream
regions.
be
divided
into
four
distinct
types:
main
inflow
plate,
outflow
agent
bidirectional
spillover
plate.
Geographic
most
significant
formation,
followed
by
resource
mismatch,
development,
openness.
study
provides
theoretical
guidance
empirical
support
improving
utilisation
promoting
coordinated
Language: Английский
Spatial Spillover Effects and Correlation Network Analysis of Green Construction Development Efficiency in China
Journal of Cleaner Production,
Journal Year:
2024,
Volume and Issue:
474, P. 143627 - 143627
Published: Sept. 10, 2024
Language: Английский
The driving effect of polycentric city network on the coordinated development of regional economy in Bohai Rim region of China
Kanyong Li,
No information about this author
Zuankuo Liu,
No information about this author
Shaodong Shi
No information about this author
et al.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(23), P. e40173 - e40173
Published: Nov. 13, 2024
Using
social
network
analysis
and
spatial
Dubin
model,
this
study
analyzes
the
data
from
Bohai
Rim
Economic
Zone
between
2003
2019
examines
driving
effect
mechanism
of
polycentric
urban
networks
on
regional
economic
coordination
China
perspective
combining
agglomeration
externality
externality.
The
results
show
that:
There
is
a
positive
correlation
degree
city
in
Region
its
coordinated
development
level;
After
controlling
classical
production
factors
such
as
physical
capital,
non-central
cities
narrow
gap
their
per
capital
income
level
central
cities,
produce
spillover
effects
by
increasing
relative
node
centrality
process
embedding
network;
On
whole,
small
medium-sized
gain
growth
effect,
play
large
with
centers
long
wave
radiation
breaking
through
geographical
proximity-these
three
are
interlocked.
This
research
offers
pivotal
insights
for
refining
configuration
Rim.
Moreover,
findings
provide
policy
recommendations
to
enhance
China's
structure,
facilitating
progression
economies
broader
scale
loftier
standards.
Language: Английский