International Journal of Environmental Research and Public Health,
Год журнала:
2022,
Номер
19(20), С. 13192 - 13192
Опубликована: Окт. 13, 2022
The
deep
integration
of
digital
economy
and
green
development
has
become
an
inevitable
requirement
important
aid
in
achieving
the
goal
carbon
peaking
neutrality
promoting
high-quality
economic
development.
At
same
time,
manufacturing
industry
is
main
sector
energy
consumption
emissions
China
force
for
goals.
This
paper
constructs
a
mathematical
model
to
measure
scale
efficiency
green,
low-carbon
transformation
industry.
It
builds
panel
data
study
effect
on
based
30
Chinese
provinces
from
2016
2020.
results
find
that
(1)
there
significant
positive
industry,
with
impact
coefficient
0.477,
this
finding
remains
robustness
test.
(2)
A
further
test
mediating
finds
can
drive
by
enhancing
technological
innovation,
it
shows
partial
accounts
28%
total
effect.
(3)
In
regional
heterogeneity
analysis,
found
more
prominent
central
region,
coefficients
are
0.684,
0.806,
0.340,
0.392
east,
central,
west,
northeast
regions,
respectively.
provide
theoretical
basis
policy
support
governments
enterprises.
Geoscience Frontiers,
Год журнала:
2023,
Номер
15(3), С. 101644 - 101644
Опубликована: Июнь 5, 2023
Considering
that
previous
literature
has
mainly
focused
on
the
impact
of
digital
economy
(DE)
environmental
degradation,
ignoring
role
natural
resources,
this
study
uses
two
key
factors
(natural
resource
rent
and
anticorruption
regulation)
as
threshold
variables
to
reveal
effect
resources
association
between
DE
carbon
dioxide
(CO2)
emissions.
In
doing
so,
covers
97
countries,
annual
data
2003
2019,
applies
a
panel
model.
The
outcomes
present
influence
CO2
emissions
single-threshold
(i.e.,
there
is
an
inverted
U-shaped
link
emissions)
when
variable.
Specifically,
significantly
increases
at
low-to-medium
level,
but
suppresses
growth
exceeds
threshold.
Moreover,
drives
overall
regulation
variable
are
double
thresholds
for
its
rise
in
initially
exacerbates
contribution
then
weakens
it
over
time.
Based
results,
proposes
various
implications,
such
formulating
development
strategy,
considering
DE,
strengthening
anti-corruption
efforts
field
protection.
International Journal of Environmental Research and Public Health,
Год журнала:
2022,
Номер
19(18), С. 11814 - 11814
Опубликована: Сен. 19, 2022
China
is
undergoing
an
urbanization
process
at
unprecedented
scale,
and
low-carbon
urban
development
of
great
significance
to
the
completion
“dual
carbon
goals”.
At
same
time,
digital
economy
has
become
important
engine
for
development,
its
role
in
environmental
improvement
increasingly
prominent.
While
booming,
can
it
promote
cities?
Based
on
panel
data
278
cities
from
2011
2019,
this
paper
discusses
impact
emissions
long-term
trend
between
emissions,
differences
level
reduction,
green
energy
efficiency
relationship
emissions.
The
results
show
that
a
significant
inhibitory
effect
with
economy,
more
absolute
decoupling
are
turning
development.
heterogeneous
With
emission
reduction
significant.
As
threshold
variable,
affects
When
low,
promotes
when
high,
reduces
Frontiers in Ecology and Evolution,
Год журнала:
2023,
Номер
11
Опубликована: Апрель 24, 2023
Introduction
Promoting
the
development
of
digital
technology
is
an
important
step
in
meeting
challenge
global
climate
change
and
achieving
carbon
peaking
neutrality
goals.
Methods
Based
on
panel
data
Chinese
cities
from
2006
to
2020,
this
paper
used
econometrics
investigate
impact
mechanism
emissions.
Results
The
results
showed
that
can
significantly
reduce
emission
intensity
improve
efficiency.
These
remained
robust
after
changing
estimation
method,
adding
policy
omission
variables,
replacing
core
solving
endogeneity
problem.
Digital
indirectly
emissions
by
promoting
green
technological
innovation
reducing
energy
intensity,
it
plays
a
significant
role
reduction
practices
trading
policies
comprehensive
national
big
pilot
zones.
replicability,
non-exclusivity,
high
mobility
help
accelerate
spread
knowledge
information
between
different
cities,
which
leads
spillover
effect
reductions.
Our
unconditional
quantile
regression
model
technology’s
continuously
decreases
with
increases
dioxide
Discussion
provide
evidence
for
potential
use
goal
neutrality,
great
significance
high-quality
transformation
economy
society.
