Energy Informatics,
Journal Year:
2024,
Volume and Issue:
7(1)
Published: Aug. 26, 2024
From
the
perspective
of
configuration,
this
paper
takes
region
manufacturing
efficiency
as
explanatory
variable,
selects
eight
antecedent
conditions,
and
applies
fuzzy
set
qualitative
comparative
analysis
(fsQCA)
to
study
paths
methods
improving
emission
efficiency.
The
results
show
that
there
are
two
configuration
carbon
in
industry,
namely,
research
frontier
technological
innovation
level
labour
force
structure,
R&D
investment,
science
technology
level,
output
value,
environmental
regulation
synergistic
path.
Applied Economics,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 16
Published: June 11, 2024
This
study
aims
to
examine
the
impact
and
driving
mechanisms
of
digital
economy
(DGE)
on
green
upgrade
manufacturing
(MGU)
within
context
low-carbon
development.
focuses
China
as
research
sample,
using
panel
data
from
2011
2019,
covering
both
provincial
industry
levels.
It
is
tested
through
econometric
empirical
methods
such
fixed
effects,
mediation
effects.
The
results
demonstrate
that
DGE
plays
a
crucial
part
in
MGU,
principally
by
improving
resource
allocation
efficiency
advancing
technological
innovation.
Relative
improvements,
more
substantially
promotes
MGU
towards
environmentally
friendly
Further
heterogeneity
analysis
reveals
effect
upgrades
pronounced
China's
eastern
regions
areas
with
higher
levels
socio-economic
development
greater
market
potential.
Building
upon
these
findings,
paper
offers
suite
policy
recommendations
including
judicious
advancement
transformation
innovation,
optimizing
achieving
lean
production,
implementing
region-specific
management.
expected
provide
experience
for
world
learn
addressing
climate
change
promoting
mode.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 2, 2025
Abstract
The
transformation
of
enterprises
towards
digitization
holds
a
pivotal
position
in
China's
development
trajectory
driven
by
innovation,
yet
the
precise
mechanisms
underlying
this
process
remain
obscure.
research
examines
influence
and
on
innovation
quality,
utilizing
panel
data
from
4,229
A-share
listed
companies
(2010–2021).
Our
analysis
reveals
robust
statistically
significant
positive
link
between
quality.
Specifically,
10%
increase
corresponds
to
an
improvement
quality
ranging
0.45–1.19%,
finding
that
remains
consistent
across
multiple
robustness
assessments.
Furthermore,
our
empirical
results
hint
bolsters
facilitating
disclosure
technological
risks
securing
heightened
government
subsidies.
Additionally,
factors
such
as
CEOs
possessing
overseas
work
experience,
supportive
local
environment
conducive
marked
high
marketization
advantageous
business
conditions,
well-established
digital
infrastructure
can
significantly
augment
strength
correlation
through
moderating
effects.
Moreover,
fosters
both
intensity
efficiency
innovation.
This
provides
policymakers
with
invaluable
insights
into
multifaceted
impact
enterprise
By
elucidating
these
findings,
administrators
devise
policy
framework
effectively
expedite
transition
contemporary
era.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 9, 2025
Abstract
The
full
text
of
this
preprint
has
been
withdrawn
by
the
authors
as
it
was
submitted
and
made
public
without
consent
all
authors.
Therefore,
do
not
wish
work
to
be
cited
a
reference.
Questions
should
directed
corresponding
author.
Research Square (Research Square),
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 13, 2025
Abstract
Based
on
the
Chinese
provincial
panel
data
from
2011
to
2022,
this
paper
innovatively
use
spatial
double/debiased
machine
learning
(DDML)
model,
planar
and
mediating
model
study
effect,
mechanisms
of
digitalization
carbon
emissions
in
both
local
surrounding
areas.
The
empirical
studies
show
that
significantly
reduces
area.
Digitalization
by
promoting
transformation
energy
industrial
structure
green
technological
innovation,
regions
improvement
utilization
efficiency
progress,
improve
intensification
areas
thus
reducing
emissions.
Prediction
using
LSTM
neural
network
shows
for
30
provinces
China
except
Tibet
2030,
peak
dioxide
is
achievable.
For
digitally
developed
regions,
or
where
digitization
lagging
behind
but
developing
rapidly,
can
help
these
achieve
with
less
relatively
undeveloped,
makes
little
difference
process
achieving
slowly,
due
extensiveness
provinces,
a
rebound
making
put
more
demand
into
produce,
will
increase.
Frontiers in Environmental Science,
Journal Year:
2025,
Volume and Issue:
13
Published: Feb. 21, 2025
The
application
of
digital
technology
and
the
emergence
new
economic
forms
have
accelerated
social
dynamic
circulation,
economy
industry
has
achieved
positive
results
in
enhancing
regional
carbon
emission
efficiency.
Therefore,
exploring
footprint
system
development
model
“dual
circulation”
from
perspective
high-quality
is
important
to
ensure
its
healthy
development.
This
study
based
on
theory
It
uses
panel
models,
spatial
econometric
other
methods
for
empirical
analysis
level
efficiency
more
than
25
provinces
China
also
their
impact
effects.
indicated
that
under
post-epidemic
situation,
various
improved
varying
degrees,
especially
Beijing,
Tianjin,
Hebei,
Pearl
River
Delta
regions,
where
improvement
effect
significant.
showed
a
decreasing
trend
east
west
dimension.
was
significantly
positively
correlated
with
at
1%
level.
In
comparison,
negative
effects
urbanization
government
macro
intervention
variables
were
significant
5%
10%
levels.
adjustment
industrial
structure,
energy
technology,
had
spillover
heterogeneity.
When
efficiency,
certain
degree
peripheral
inhibition
observed.
From
development,
needs
focus
“simultaneous
realization
maintenance”
ecological
benefits
actively
adjust
structure
optimization
differences.
