Energies,
Journal Year:
2023,
Volume and Issue:
16(2), P. 761 - 761
Published: Jan. 9, 2023
China
is
confronted
with
the
dual
constraints
of
economic
transformation
and
carbon
emission
reduction.
As
digital
economy
a
key
force
in
promoting
optimizing
industrial
structure,
it
crucial
to
analyze
economy’s
impact
on
reduction
from
perspective
energy
consumption
value
chain
implications.
We
selected
data
251
prefecture-level
cities
above
2011
2019
as
research
samples,
measured
development
level
using
entropy
method,
constructed
relevant
regression
models
based
two-way
fixed
effects,
intermediary
analysis,
moderation
analysis.
The
reveals
that:
(1)
has
significant
contribution
efficiency,
there
are
regional
heterogeneity
city
size
differences;
(2)
can
improve
efficiency
by
reducing
consumption.
(3)
From
perspective,
structure
rationalization
weakens
improvement
effect
certain
extent,
whereas
upgrading
obviously
enhances
economy.
findings
enrich
field
environmental
governance,
contribute
more
comprehensive
understanding
mechanisms
which
affects
well
provide
policy
implications
for
enhancing
use
chain.
Managerial and Decision Economics,
Journal Year:
2021,
Volume and Issue:
43(3), P. 616 - 629
Published: June 29, 2021
Based
on
the
panel
data
of
277
cities
in
China
from
2011
to
2018,
this
paper
constructs
digital
economy
index
and
green
efficiency
index.
The
research
found
following:
first,
has
significantly
improved
region.
Second,
a
greater
impact
eastern
region
large
than
central
western
regions
small
cities.
Third,
technological
innovation
is
an
important
way
for
improve
level
economy.
Business Strategy and the Environment,
Journal Year:
2022,
Volume and Issue:
31(4), P. 1656 - 1678
Published: Feb. 15, 2022
Abstract
Inclusive
green
growth,
which
considers
inclusive
growth
and
is
a
sustainable
development
model
that
aims
to
pursue
the
comprehensive
harmonious
of
humans,
economy,
society,
environment.
Against
backdrop
pandemic
as
well
sluggish
economic
development,
global
economy
endowed
with
driving
mission
may
affect
growth.
This
research
primarily
discusses
influence
digital
agglomeration
on
its
transmission
mechanism
in
China.
Specifically,
slacks‐based
measure
directional
distance
functions
(SBM‐DDF)
was
integrated
Malmquist–Luenberger
index
(GML)
calculate
at
city
level
for
282
cities
China
during
2004–2019.
A
measurement
system
constructed,
degree
each
region
further
measured
through
geographic
concentration.
Based
these
analyses,
this
points
out
exerts
positive
The
analysis
indicates
influenced
by
energy
consumption,
environmental
pollution,
human
capital,
industrial
structure,
technological
progress.
Moreover,
taking
“Broadband
China”
pilot
policy
starting
point,
spatial
difference‐in‐differences
(SDID)
used
analyze
effect.
results
suggest
conducive
enhancing
local
while
it
inhibits
neighboring
cities.
IET Smart Grid,
Journal Year:
2022,
Volume and Issue:
6(1), P. 86 - 102
Published: Nov. 20, 2022
To
achieve
low-carbon
sustainable
energy
development,
new
technologies
such
as
Internet
of
Energy
(IoE),
intelligent
systems
and
Things
(IoT)
well
distributed
generations
via
smart
grids
(SG)
are
gaining
attention.
The
interoperability
between
systems,
realised
through
the
web,
enables
automatic
consumption
optimisation
increases
network
efficiency
management.
IoE
is
an
intriguing
topic
in
close
connection
with
IoT,
communication
SG
electrical
mobility
that
contributes
to
zero-carbon
green
environments.
Furthermore,
nowadays,
widespread
growth
utilisation
processors
for
mining
digital
currency
homes
small
warehouses
some
other
factors
be
considered
terms
electric
greenhouse
gas
emission.
However,
research
on
use
evaluating
misallocation
effect
it
can
have
CO2
emissions
often
neglected.
In
this
study,
authors
present
a
detailed
overview
regarding
evolution
conjunction
employment
essential
components
decarbonisation.
Also,
mathematical
models
simulation
provided
evaluate
role
reducing
