Sustainability,
Год журнала:
2024,
Номер
16(20), С. 8881 - 8881
Опубликована: Окт. 14, 2024
Climate
change
is
a
significant
and
urgent
threat,
gaining
traction
in
the
scientific
community
around
globe
requiring
immediate
action
across
many
sectors.
In
this
context,
digital
economy
could
provide
mutually
beneficial
solution
by
utilizing
innovation
technical
breakthroughs
to
establish
sustainable
future
that
addresses
environmental
deterioration,
promotes
economic
growth,
encourages
energy
conservation.
Against
background,
study
examined
diffusion
of
modeling-based
factors
affecting
small
medium-sized
firms’
(SMFs)
adoption
Internet
Things
(IoT)
technology
its
impact
on
SMFs’
sustainability
performance
related
environmental,
economic,
innovation,
conservation
perspectives.
The
key
findings
revealed
(i)
relative
advantage,
trialability,
observability
drive
IoT
adoption.
However,
compatibility
complexity
hinder
(ii)
When
prioritizing
factors,
benefit
strongest
driver,
most
barrier
(iii)
adopter
SMFs
spent
less
natural
resources
more
renewable
monitoring
systems
than
non-adopter
firms,
boosting
their
sustainability.
(iv)
firms
had
greater
revenue,
profits,
credit
access
non-adopters
lower
input
costs,
improving
(v)
innovative
products
enterprises,
demonstrating
performance.
(vi)
Compared
utility
expenses
energy-efficient
technologies.
(vii)
To
realize
full
potential
for
inventive
future,
authorities
may
pursue
variety
policy
actions
involving
strengthening
implementation
standards
regulations,
securing
incentivization
financial
SMFs,
diverting
allocation
research
development
avenues,
capacity
awareness,
focusing
infrastructure
development.
Sustainability,
Год журнала:
2024,
Номер
16(11), С. 4343 - 4343
Опубликована: Май 21, 2024
Digital
entrepreneurial
ecosystem
embeddedness
disrupts
existing
boundaries
and
content
of
innovative
activities,
restructuring
landscape.
However,
how
it
drives
the
process
mechanisms
user
opportunity
development
remains
underexplored.
Based
on
theory
knowledge
dynamic
capability
theory,
this
study
examines
mediating
role
capabilities
in
relationship
between
digital
development.
Using
a
sample
232
enterprises
China,
hierarchical
regression
analysis
bootstrap
methods
are
employed
to
investigate
mechanisms.
The
results
reveal
that
significantly
promotes
acquisition
sharing
capabilities,
which
turn
facilitate
Moreover,
under
higher
levels
learning,
promotion
by
becomes
more
significant.
Furthermore,
consisting
promote
development,
partially
Additionally,
serves
as
preferable
pathway
dual-driven
Our
findings
contribute
understanding
dynamics
entrepreneurship
China
environment,
offer
practical
insights
for
leveraging
improve
quality
efficiency
sustainability
ecosystem.
Humanities and Social Sciences Communications,
Год журнала:
2024,
Номер
11(1)
Опубликована: Май 27, 2024
Abstract
Under
the
backdrop
of
economic
globalization
and
digital
economy,
entrepreneurial
behavior
has
emerged
not
only
as
a
focal
point
management
research
but
also
an
urgent
topic
within
domain
family
finance.
This
paper
scrutinizes
ramifications
financial
literacy
on
household
utilizing
data
from
China’s
sample
China
Household
Finance
Survey
spanning
years
2015
2017.
Employing
ordered
Probit
model,
we
pursue
our
objectives.
Our
findings
suggest
that
exerts
immediate,
persistent,
evolving
positive
effects
households’
engagement
in
activities
their
proclivity
toward
entrepreneurship.
Through
mitigation
endogeneity
regression
outcomes
two-stage
corroborate
primary
results.
An
examination
heterogeneity
unveils
noteworthy
disparities
between
urban
rural
areas,
well
gender
discrepancies,
how
influences
behavior.
Furthermore,
this
study
validates
three
potential
pathways—namely
income,
social
network,
risk
attitude
channels—demonstrating
significantly
augments
expands
networks,
enhances
attitudes.
Moreover,
through
supplementary
analysis,
ascertain
education
amplifies
impact
contributes
to
enrichment
human
capital
theory
modern
entrepreneurship
theory.
It
advocates
for
robust
efforts
by
governments
institutions
widely
disseminate
knowledge
foster
entrepreneurship,
thereby
fostering
stable
operation
both
global
market
job
market.
Research Square (Research Square),
Год журнала:
2025,
Номер
unknown
Опубликована: Апрель 21, 2025
Abstract
Strengthening
the
robustness
and
stability
of
industrial
chains
is
not
only
a
necessary
pathway
to
achieving
strategic
goals
China’s
new
development
paradigm
but
also
fundamental
pillar
in
building
modern
economic
system
with
Chinese
characteristics.
Drawing
on
panel
data
from
30
provinces
spanning
2011
2022,
this
study
constructs
index
systems
for
artificial
intelligence
manufacturing
industry
chain
resilience
(Mir)
using
entropy
weight
method.
It
systematically
examines
effects
Mir
its
underlying
mechanisms.
The
key
findings
are
as
follows:
(1)
Artificial
significantly
enhances
Mir,
result
confirmed
through
multiple
tests;
(2)
Mechanism
analysis
reveals
that
improves
primarily
technological
innovation
digital
empowerment
effects;
(3)
Threshold
indicate
intelligence’s
impact
exhibits
nonlinear
characteristics
under
varying
levels
infrastructure;
(4)
Heterogeneity
shows
pronounced
structural
divergence
resilience-enhancing
effects,
stronger
observed
high-resilience
clusters,
dimensions
adaptive
recovery
innovative
reconfiguration,
export-oriented
supply
chains.
This
offers
novel
theoretical
perspective
methodological
framework
assessing
within
paradigm.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Апрель 24, 2025
Technological
advancements
have
become
a
crucial
driver
of
economic
growth,
particularly
in
the
digital
economy,
where
they
significantly
spurred
innovation
and
entrepreneurship
across
various
sectors.
This
progress
has
also
led
to
rise
smart
cities,
which
serve
as
practical
contexts
for
implementing
economy.
By
integrating
technological
cities
further
unlocked
their
potential
through
development
intelligent
infrastructure.
However,
research
on
impact
economy
urban
entrepreneurial
activity
remains
limited,
especially
regarding
its
underlying
mechanisms.
To
address
this
gap,
study
constructs
panel
dataset
covering
284
prefecture-level
China
from
2010
2021
employs
Difference-in-Differences
(DID)
Propensity
Score
Matching-Difference-in-Differences
(PSM-DID)
models.
The
findings
indicate
that
positive
activity,
northern
less
developed
well
information
transmission,
software,
technology
service
industries.
Mechanism
analysis
reveals
is
mediated
optimization
business
environment
enhanced
social
credit
levels.
Additionally,
identifies
heterogeneous
effects
different
regions,
levels
development,
concludes
progress,
synergistic
effect,
driving
high-quality
development.
supports
turn
provides
foundation
city
construction.
Based
these
findings,
paper
recommends
advancing
optimizing
environment,
improving
system,
formulating
targeted
policies
promote
coordinated
between
activities.
