Sustainability,
Год журнала:
2024,
Номер
16(20), С. 8974 - 8974
Опубликована: Окт. 17, 2024
As
power
system
reforms
deepen,
direct
trading
with
large
consumers
has
emerged
as
a
crucial
aspect
of
opening
up
the
sales
market.
In
light
this
trend,
enterprises
should
accelerate
their
digital
transformation
in
response
to
growing
demand
for
personalized
services
from
and
continuous
advancements
energy
digitalization
smart
technologies.
particular,
big
data
technology
is
critical
satisfy
users
increase
profitability
it
can
help
gain
deeper
insights
into
user
needs
behavioral
characteristics.
The
application
provide
customized
value-added
become
key
development
focus.
paper,
we
develop
two-party
evolutionary
game
model
involving
sellers
using
profile
offer
them
packages.
We
conduct
detailed
analysis
local
stability
equilibrium
points
employ
MATLAB.R2021a
examine
impact
changes
benefits
cost
coefficients
associated
on
system’s
outcomes.
study
results
indicate
that
enhance
competitiveness
Value-added
based
user-profiling
have
factor
influencing
decision-making
behavior
consumers.
Additionally,
investment
infrastructure
by
impacts
evolution,
coefficient
being
inversely
proportional
willingness
services.
Sustainability,
Год журнала:
2025,
Номер
17(7), С. 3137 - 3137
Опубликована: Апрель 1, 2025
The
core
hallmark
of
new
quality
productive
forces
(NQPFs)
is
a
substantial
increase
in
total
factor
productivity.
Developing
NQPFs
tailored
to
local
conditions
significantly
promote
green,
low-carbon,
and
environmentally
sustainable
development.
This
paper
selects
30
provinces
municipalities
China
(excluding
Hong
Kong,
Macao,
Taiwan,
Tibet)
as
research
samples.
It
employs
the
super-efficiency
Slacks-Based
Measure
(SBM)
model,
coupling
coordination
degree
analysis,
kernel
density
estimation,
Dagum
Gini
coefficient,
β-convergence
analysis
measure
analyze
between
carbon
productivity
(CTFP).
results
indicate
that
CTFP
exhibits
an
upward
trend
overall.
At
same
time,
show
initial
increase,
followed
by
decline,
with
significant
regional
variations
observed
both.
There
notable
heterogeneity
CTFP.
eastern
region
demonstrates
highest
degree,
central,
western,
northeastern
regions.
primary
cause
this
differential
distribution
inter-regional
disparities,
particularly
widening
gap
others.
Further
reveals
that,
except
for
region,
dynamic
evolution
nationwide
other
regions
tends
converge.
Regarding
absolute
β-convergence,
converges
fastest,
while
western
slowest.
conditional
convergence
speeds
are
consistent,
but
remain
unchanged.
study
provides
important
theoretical
support
achieving
balanced
development
comprehensively
enhancing
CTFP,
ensuring
contributions
low-carbon
economy.
Sustainability,
Год журнала:
2025,
Номер
17(8), С. 3384 - 3384
Опубликована: Апрель 10, 2025
The
digital
economy
(DE)
and
real
(RE)
are
dual
pillars
of
the
modern
economic
system.
deep
integration
(IDR)
has
emerged
as
a
pivotal
strategic
trend.
IDR
not
only
can
enhance
international
competitiveness
but
also
contributes
to
sustainable
development
goals.
This
work
collects
DE
RE
data
from
30
provinces
in
China
between
2012
2022.
entropy
weight
method
coupling
coordination
degree
(CCD)
model
employed
measure
level
IDR.
Furthermore,
Dagum
Gini
coefficient,
Kernel
density
estimation,
spatial
autocorrelation
model,
geographically
temporally
weighted
regression
(GTWR)
utilized
analyze
spatial–temporal
evolution
influencing
factors
CCD.
following
conclusions
drawn:
(1)
During
study
period,
CCD
shows
an
upward
trend,
value
is
relatively
low.
(2)
There
significant
differences
CCD,
inter-regional
difference
primary
cause.
(3)
regional
continuously
widening.
(4)
obvious
global
agglomeration
feature,
been
enhanced
(5)
policy
intensity,
infrastructure,
industrial
structure,
human
capital,
technological
innovation,
market
environment
have
impacts
on
obtained
findings
provide
important
theoretical
support
for
coordinated
RE.
Sustainability,
Год журнала:
2025,
Номер
17(9), С. 3828 - 3828
Опубликована: Апрель 24, 2025
Life
cycle
carbon
emissions
from
the
construction
industry
(CE)
have
a
profound
impact
on
China’s
“dual
carbon”
goals,
with
significant
posing
severe
challenges
to
environment.
In
this
paper,
four
prediction
models
were
trained
and
compared,
optimal
model,
Genetic
Algorithm
Optimized
BP
Neural
Network
(GA-BP),
was
finally
selected
for
multi-scenario
of
CE.
Firstly,
study
performs
comprehensive
accounting
indicator
analysis
CE
over
its
entire
life
cycle.
addition,
paper
further
conducts
spatial
differentiation
Subsequently,
parameter
conducted
using
an
improved
STIRPAT
followed
by
LMDI
factor
decomposition
based
model.
Finally,
model
performance
verified
three
evaluation
metrics:
coefficient
determination
(R2),
mean
absolute
error
(MAE),
percentage
(MAPE).
The
results
indicate
that
(1)
in
emission
assessment,
reached
peak
42.52
t
per
capita
annually
8.90
CO2/m2
unit
area;
(2)
year-end
resident
population
has
greatest
influence
CE,
other
related
variables
also
contributing
positively;
(3)
GA-BP
outperforms
models,
R2
increasing
0.0435
0.0981,
MAE
reducing
63%
76%,
MAPE
decreasing
23%
68%.
Systems,
Год журнала:
2024,
Номер
12(11), С. 470 - 470
Опубликована: Ноя. 2, 2024
The
digital
economy
is
the
future
direction
of
global
development,
and
its
innovation-driven
effect
has
become
focus
scholars.
This
study
takes
China’s
Shanghai
Shenzhen
A-share
listed
manufacturing
enterprises
from
2012
to
2022
as
research
samples
uses
a
text-analysis
method
measure
comprehensive
index
regional
economy.
Based
on
dual
dimensions
quantity
quality,
we
empirically
test
actual
impact
innovation.
results
show
following:
(1)
internal
components
include
data
elements,
technology,
infrastructure,
which
have
significant
role
in
promoting
(2)
There
are
differences
release
innovation
dividends
among
with
different
growth
stages,
property
rights,
technology
endowments.
(3)
From
macro-regional
level,
rational
allocation
R&D
personnel
funds
an
effective
way
for
enable
In
addition,
micro-enterprise
factor-combination
information-optimization
effects
also
ways
drive
(4)
Further,
nonlinear,
changes
composition.
helps
break
through
obstacles
achieve
empowerment
provides
theoretical
reference
industry
continue
spur
vitality.
