Public Data Elements and Enterprise Digital Transformation: A Quasi-Natural Experiment Based on Open Government Data Platforms for Sustainable Urban Planning
Sustainability,
Год журнала:
2025,
Номер
17(10), С. 4676 - 4676
Опубликована: Май 20, 2025
In
the
era
of
digital
economy,
open
sharing
public
data
elements
has
become
a
key
engine
driving
transformation
enterprises.
This
article
is
based
on
quasi-natural
experiment
using
government
platforms
launched
from
2011
to
2022,
and
it
uses
asymptotic
difference-in-differences
method
empirically
test
mechanism
impact
enterprise
transformation.
It
been
discovered
that
making
items
publicly
available
dramatically
increases
degree
According
analysis,
corporate
primarily
impacted
by
releasing
through
two
channels:
information
resource
removing
financial
restraints.
heterogeneity
significantly
when
they
are
located
in
regions
with
high
openness
quality,
substantial
levels
economic
vitality,
during
businesses’
growth
maturity
stages.
The
enabling
influence
organizational
was
positively
mitigated
via
fully
functional
infrastructure
cutting-edge
products.
study
confirmed
value
market-oriented
allocation
enterprises,
providing
theoretical
basis
for
improving
government’s
system
unleashing
productivity
elements.
also
provides
practical
inspiration
enterprises
seize
opportunities.
Язык: Английский
Research on the impact of digital economy on industrial carbon emission efficiency – An analysis based on spatial threshold model
Journal of Cleaner Production,
Год журнала:
2025,
Номер
unknown, С. 145755 - 145755
Опубликована: Май 1, 2025
Язык: Английский
Rewiring Sustainability: How Digital Transformation and Fintech Innovation Reshape Environmental Trajectories in the Industry 4.0 Era
Systems,
Год журнала:
2025,
Номер
13(6), С. 400 - 400
Опубликована: Май 22, 2025
This
study
investigates
the
long-run
impact
of
digital
transformation
and
fintech
innovation
on
environmental
sustainability
across
OECD
countries
from
1999
to
2024.
Drawing
a
novel
empirical
framework
that
integrates
panel
fully
modified
ordinary
least
squares,
system-generalized
method
moments,
machine
learning
estimators,
analysis
captures
both
linear
nonlinear
dynamics
while
addressing
heterogeneity,
endogeneity,
structural
complexity.
Environmental
is
measured
by
per
capita
CO2
emissions,
are
proxied
secure
internet
servers
G06Q
patent
applications,
respectively.
The
findings
reveal
infrastructure
maturity
fintech-driven
significantly
reduce
carbon
suggesting
technologically
advanced
ecosystems
serve
as
effective
instruments
for
climate
mitigation.
Robustness
checks
via
moments
confirm
stability
these
relationships,
models—Random
Forest
XGBoost—highlight
variables
top
predictors
emissions
reduction.
convergence
results
estimation
methods
underscores
reliability
digital–environmental
nexus.
Policy
implications
emphasize
need
embed
metrics
into
strategies,
promote
green
regulation,
prepare
labor
markets
Industry
4.0
transitions.
These
position
not
merely
enablers
economic
growth,
but
levers
achieving
environmentally
sustainable
development
in
high-income
economies.
Язык: Английский