Sustainable Development,
Год журнала:
2024,
Номер
unknown
Опубликована: Май 13, 2024
Abstract
With
scholars
paying
increasing
attention
to
energy
sustainability,
integrating
sustainable
utilization
into
the
energy‐related
assessment
framework
is
particularly
useful
for
achieving
SDG7.
This
study
empirically
assesses
efficiency
(
EE
)
comprised
of
utilize
stage
and
in
China
using
a
dynamic
two‐stage
data
envelopment
analysis
model,
its
influencing
factors
including
digital
economy
with
fixed‐effect
models.
The
findings
reveal
slight
downward
trend
from
2011
2020,
primarily
due
poor
performance
stage.
subregional
illustrates
that
clean
use
(CEU)
more
beneficial
than
reducing
carbon
emissions
(CER).
Dagum
Gini
coefficients
indicate
growing
disparity
between
regions.
Additionally,
“U‐shaped”
relationship
found,
but
two‐thirds
provinces
have
not
yet
surpassed
turning
point.
Moreover,
different
degrees
CEU
CER
will
influence
impact
on
.
Environmental
regulations
green
technology
innovation
play
positive
moderating
roles
relationship.
recommends
stimulate
through
higher
adoption
sources
reduction,
as
well
highlight
value
economy.
Sustainability,
Год журнала:
2025,
Номер
17(9), С. 4108 - 4108
Опубликована: Май 1, 2025
As
global
economic
development
advances,
the
constraints
of
traditional
growth
paradigms,
particularly
escalating
challenge
environmental
pollution,
have
become
increasingly
evident.
In
this
context,
deep
integration
digital
and
real
economies
(IDE)
has
emerged
as
a
promising
approach
to
sustain
expansion
while
addressing
concerns.
Drawing
on
panel
data
from
30
Chinese
provinces
throughout
2008–2022,
study
employs
entropy
weight
method
coupling
coordination
degree
model
quantify
levels
IDE
pollution.
A
two-way
fixed-effects
regression
framework
is
then
applied
assess
relationship
between
pollution
uncover
potential
mediating
mechanisms.
The
principal
findings
are
follows:
(1)
level
suppressive
effect
with
exhibiting
significant
regional
heterogeneity.
(2)
facilitates
optimization
industrial
structure
(IS)
reduction
in
energy
consumption
through
two
intermediary
channels,
leading
marked
improvement
quality.
(3)
exhibits
threshold
within
mechanism,
its
influence
displaying
nonlinear
characteristic
increasing
marginal
effect.
These
results
enrich
interdisciplinary
nexus
studies
economy,
offering
scientific
basis
for
policymaking
contributing
China’s
dual-carbon
objectives
sustainability
transition.
Future
research
may
explore
differentiated
impacts
convergence
under
diverse
policy
regimes
identify
strategies
maximize
benefits.
Frontiers in Ecology and Evolution,
Год журнала:
2024,
Номер
12
Опубликована: Март 13, 2024
Introduction
With
the
rapid
development
of
digital
technology
and
its
deep
integration
with
environmental
ecological
fields,
economy
has
become
an
effective
way
to
guide
transition
cities
eco-friendly
model.
However,
empirical
studies
on
nonlinear
spatial
effects
between
welfare
performance
are
still
insufficient.
Methods
Based
panel
data
270
prefecture-level
in
China
from
2011
2020,
this
paper
empirically
examines
impact
mechanism
action
using
econometric
modeling.
Results
The
promotion
effect
is
characterized
by
“J”
shape
increasing
marginal
effect,
spillover
neighboring
inverted
“U”
inhibiting
first
then
promoting
later.
test
shows
that
can
enhance
through
incremental
green
technological
innovation
local
a
positive
effect.
have
direct
U
influencing
factor
allocation
efficiency
energy
utilization
efficiency.
It
also
U-shaped
Environmental
regulation
moderating
eco-welfare
affected
economy.
As
level
rural
revitalization
increases,
it
produces
inhibiting.
Heterogeneity
analysis
reveals
more
significant
facilitating
central
China.
Discussion
This
will
provide
reference
for
synergistic
optimization
among
regions.
findings
study
promote
accelerate
realization
goal
“Beautiful
China”.
Environmental Research Communications,
Год журнала:
2024,
Номер
6(6), С. 065006 - 065006
Опубликована: Июнь 1, 2024
Abstract
The
rapid
expansion
of
the
digital
economy
has
garnered
significant
attention
because
its
potential
to
drive
high-quality
advancement
in
traditional
sectors,
particularly
manufacturing.
This
study
examines
spatial
dynamics
and
disparities
between
green
total
factor
productivity
(GTFP)
China’s
manufacturing
sector.
We
utilize
a
novel
set
indicators
assess
during
Chinese
provinces
apply
econometric
models
investigate
influence
on
GTFP.
main
research
content
conclusions
this
are
as
follows.
(1)
By
employing
index
system
quantify
economy’s
level
within
sector
across
various
China,
utilizing
it
primary
explanatory
variable,
demonstrates
efficacy
empirical
analysis
is
both
scientifically
robust
methodologically
sound.
(2)
Using
Dubin
model,
analyzes
effects
GTFP
finds
that
dominant
positive
spillover
effect
industry
nationwide.
(3)
results
show
have
eastern
central
area,
whereas
negative
western
area.
extends
applicability
new
economic
geography
imperfect
competition
theories
era,
thereby
contributing
these
academic
fields.
Moreover,
introduces
analytical
framework
for
assessing
advancement.
findings
provide
valuable
insights
policy
recommendations
fostering
development
diverse
regions
China.
Applied Economics,
Год журнала:
2025,
Номер
unknown, С. 1 - 19
Опубликована: Янв. 23, 2025
Based
on
the
panel
data
of
A-share
listed
companies
China's
SME
Board
and
Science
Technology
Innovation
from
year
2011
to
2021,
this
article
empirically
examines
direct
effect,
internal
mechanism
heterogeneous
effects
digital
finance
financing
constraints
SMEs
by
using
a
two-way
fixed-effects
model.
Results
show
that
can
significantly
alleviate
through
enhancing
TFP,
improving
control
mitigating
agency
problem.
Moreover,
in
areas
with
limited
traditional
financial
resources,
weak
oversight,
high-tech
industries,
more
effectively
eases
challenges.
As
development
increasingly
relies
technology,
these
findings
guide
policy
implications
resolve
difficulties
economy.
