Distribution dynamics and quantile dynamic convergence of the digital economy: Prefecture-level evidence in China
International Review of Financial Analysis,
Год журнала:
2024,
Номер
95, С. 103345 - 103345
Опубликована: Май 3, 2024
Язык: Английский
The Impact of the Digital Economy on Transformation and Upgrading of Industrial Structure: A Perspective Based on the “Poverty Trap”
Sustainability,
Год журнала:
2023,
Номер
15(20), С. 15125 - 15125
Опубликована: Окт. 21, 2023
Breaking
the
“poverty
trap”
has
gradually
become
core
topic
of
economic
research.
The
transformation
and
upgrading
industrial
structure
is
considered
an
essential
means
to
break
trap”.
How
use
digital
economy
effect
change
allocation
capital
labor
factors
realize
a
significant
issue
in
this
paper.
study
focuses
on
examining
development
China’s
between
2013
2021,
uses
entropy
method
measure
it,
conducts
empirical
through
fixed-effects
model
intermediary-effect
investigate
influence
mechanism
upgrading.
results
indicate
following:
Firstly,
plays
crucial
role
facilitating
structure,
conclusion
was
still
robust
even
after
controlling
for
series
affecting
correcting
endogenous
estimation
deviation
by
using
instrumental
variables.
Secondly,
heterogeneity
analysis
regions
with
different
levels,
it
found
that
compared
economically
developed
regions,
backward
need
pay
more
attention
economy.
Thirdly,
examination
revealed
realized
optimizing
labor.
In
paper,
Schumpeter’s
innovation
theory
regarded
as
new
perspective
filling
gap
related
research
field.
This
provides
suggestion
areas
theoretical
support
practical
guidance
sustained
growth
whole
country.
Язык: Английский
An Investigation of the Impact of Cultural Distance on the Digital Economy in China
Journal of the Knowledge Economy,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 9, 2025
Язык: Английский
Spatio‐Temporal Evolution Characteristics and Influencing Factors of Industrial Carbon Emission Efficiency in Chinese Prefecture‐Level Cities
Опубликована: Авг. 23, 2023
In
the
pursuit
of
China’s
dual
carbon
goals,
identifying
spatio-temporal
changes
in
industrial
emission
efficiency
and
their
influencing
factors
cities
at
different
stages
development
is
key
to
effective
formulation
countermeasures
promote
low-carbon
transformation
Chinese
national
industry
achieve
high-quality
economic
development.
this
study,
we
used
balanced
panel
data
270
from
2005
2020
as
a
research
object:
(1)
show
evolution
patterns
urban
efficiency;
(2)
analyze
aggregation
characteristics
using
Global
Moran's
I
statistics;
(3)
use
hierarchical
regression
model
for
assess
non-linear
impact
digital
economy
on
cities.
The
results
following:
exhibited
an
upward
trend
2020,
with
spatial
distribution
pattern
high
south
low
north;
China's
characterized
by
significant
autocorrelation,
increasing
stabilizing
correlation,
relatively
fixed
agglomeration;
there
inverted-U-shaped
relationship
between
increases
emissions
inhibits
carbon-emission
early
development,
but
promotes
mature
developmental
stages.
Therefore,
all
levels
should
reduce
pollution
high-energy-consuming
high-polluting
enterprises,
gradually
carbon-intensive
industries,
accelerate
upgrading
enterprises.
Western,
central
eastern
regions
especially
seek
sharing
innovation
resources,
strengthen
exchanges
interactions
relating
scientific
technological
innovation,
jointly
explore
coordinated
routes
economy.
Язык: Английский
Analyzing the Spatial Pattern and Driving Factors of Urban Digital Economy: A Multiscale Perspective
The Professional Geographer,
Год журнала:
2024,
Номер
76(6), С. 756 - 769
Опубликована: Авг. 27, 2024
The
digital
economy
has
recently
emerged
as
a
potent
force
for
reorganizing
resources
and
transforming
the
economic
structure.
Although
existence
of
divide
been
confirmed
in
various
nations
regions,
most
existing
research
only
examined
it
at
single
geographic
scale,
leaving
out
consideration
multiscale
dynamics.
To
fill
this
gap,
work
attempts
to
construct
dynamic
analytic
framework
by
combining
methods
models
from
urban
geography
spatial
statistics.
First,
overall
patterns
that
presents
are
proposed
framework.
Additionally,
dynamics
well
factors
influencing
investigated.
Finally,
we
carried
an
empirical
analysis
on
242
Chinese
cities
using
framework,
findings
can
aid
government's
creation
strategies
growth
economy,
thereby
reducing
divide.
Язык: Английский