Sustainability,
Год журнала:
2024,
Номер
16(13), С. 5647 - 5647
Опубликована: Июль 2, 2024
Innovation
serves
as
a
vital
catalyst
for
sustainable
urban
development,
with
the
enhancement
of
innovation
efficiency
representing
critical
strategy
to
bolster
cities’
innovative
capacity.
Rigorous
scientific
measurement
and
thorough
investigation
into
key
factors
influencing
it
are
imperative
advancing
Despite
this
significance,
prior
research
has
largely
overlooked
impact
connections
on
efficiency.
Therefore,
paper
undertakes
task
measuring
27
cities
within
China’s
Yangtze
River
Delta
(YRD)
region
using
an
improved
DEA
model,
while
also
examining
associated
factors.
The
primary
findings
follows:
(1)
comprehensive
in
YRD
remains
relatively
low,
pure
technical
notable
constraint,
scale
demonstrates
higher
overall
performance.
(2)
can
be
classified
four
distinct
categories:
innovation-leading,
innovation-optimizing,
innovation-breaking,
innovation-improving
cities.
(3)
exhibits
negative
spatial
spillover
effects.
(4)
And
notably,
local
economic
social
characteristics
such
human
capital
degree
openness
play
positive
role
enhancing
Conversely,
foundation
government
involvement
exhibit
contributions
Additionally,
population
mobility
between
is
identified
significant
contributor
This
study
sheds
light
complex
dynamics
shaping
underscores
importance
leveraging
capacity
beyond.
Frontiers in Environmental Science,
Год журнала:
2023,
Номер
11
Опубликована: Окт. 19, 2023
Introduction:
Behind
China’s
booming
economy
lies
a
series
of
environmental
and
resource
consumption
issues.
After
continuous
research
exploration,
scholars
generally
agree
that
green
innovation
is
crucial
way
to
solve
this
problem.
As
the
core
regions
economic
development,
studying
level
three
major
urban
agglomerations
can
help
understand
progress
in
area.
It
provide
beneficial
experience
inspiration
for
other
formulation
relevant
policies
future.
Methods:
This
paper
selects
panel
data
40
cities
Beijing-Tianjin-Hebei
(BTH),
Yangtze
River
Delta
(YRD),
Pearl
(PRD)
from
2010
2020
as
object.
The
super-efficiency
SBM
(slack-based
measure)
model
Malmquist-Luenberger
(ML)
index
are
used
measure
efficiency
(GIE)
its
dynamic
evolution
rules,
Tobit
regression
constructed
analyze
influencing
factors
GIE.
Results:
PRD
agglomeration
has
highest
GIE
level,
while
BTH
YRD
shifted
around
2015.
Technical
technological
together
lead
increased
GIE,
with
having
higher
impact
than
technical
efficiency.
coefficients
urbanization
industrial
structure,
science
technology
0.0078,
0.0071,
0.0616,
respectively,
significantly
promoting
development
foreign
direct
investment,
regulations,
SO
2
emissions
−0.2198,
−0.1163,
−0.005,
−0.011,
inhibiting
coefficient
vegetation
cover
0.0228
no
significant
effect
on
Conclusions:
overall
relatively
high.
Still,
there
spatial
variability
among
different
cities,
accompanied
by
phenomenon
two-level
differentiation.
study
suggests
improving
requires
enhanced
interventions
at
both
city
factors.
enriches
theoretical
results
meso-level
provides
guidance
practical
directions
agglomerations,
achieving
peaking
carbon
neutrality,
high-quality
development.
Abstract
Growing
consciousness
about
sustainability
and
the
onset
of
digital
era
have
affected
corporate
environmental,
social,
governance
(ESG)
outcomes
to
forefront
new
debates.
This
article
attempts
use
statistical
analysis
software
such
as
Stata
explore
relevant
issues.
A-share
listed
firms
in
Shanghai
Shenzhen
between
2006
2022
are
examined
this
research
for
sake
exploring
how
digitalization
businesses
affects
ESG
ratings.
Findings
suggest
a
positive
correlation
initiatives
metrics
improvements.
These
findings
consistent
even
after
multiple
robustness
checks.
Additionally,
delves
into
mechanisms
driving
primary
relationship,
discovering
that
advances
enhance
scores
by
easing
financial
limitations,
diminishing
information
disparities,
bolstering
technological
innovation.
further
reveals
variable
impacts
based
on
firm
size
geographical
location.
Sustainability,
Год журнала:
2024,
Номер
16(13), С. 5647 - 5647
Опубликована: Июль 2, 2024
Innovation
serves
as
a
vital
catalyst
for
sustainable
urban
development,
with
the
enhancement
of
innovation
efficiency
representing
critical
strategy
to
bolster
cities’
innovative
capacity.
Rigorous
scientific
measurement
and
thorough
investigation
into
key
factors
influencing
it
are
imperative
advancing
Despite
this
significance,
prior
research
has
largely
overlooked
impact
connections
on
efficiency.
Therefore,
paper
undertakes
task
measuring
27
cities
within
China’s
Yangtze
River
Delta
(YRD)
region
using
an
improved
DEA
model,
while
also
examining
associated
factors.
The
primary
findings
follows:
(1)
comprehensive
in
YRD
remains
relatively
low,
pure
technical
notable
constraint,
scale
demonstrates
higher
overall
performance.
(2)
can
be
classified
four
distinct
categories:
innovation-leading,
innovation-optimizing,
innovation-breaking,
innovation-improving
cities.
(3)
exhibits
negative
spatial
spillover
effects.
(4)
And
notably,
local
economic
social
characteristics
such
human
capital
degree
openness
play
positive
role
enhancing
Conversely,
foundation
government
involvement
exhibit
contributions
Additionally,
population
mobility
between
is
identified
significant
contributor
This
study
sheds
light
complex
dynamics
shaping
underscores
importance
leveraging
capacity
beyond.
