China’s digital and green (twin) transition: insights from national and regional innovation policies
Regional Studies,
Год журнала:
2024,
Номер
unknown, С. 1 - 17
Опубликована: Авг. 21, 2024
This
paper
examines
the
role
of
policy
in
China's
digital
and
green
(twin)
transition,
building
on
a
qualitative
study
large
corpus
documents
domains.
We
analyse
multi-level
governance
these
transitions
for
three
regional
case
studies:
Shanghai,
Wuhan
Hangzhou.
find
that
regions
both
adopt
adjust
aims
means
differently
from
national
policy.
A
twin
transition
is
not
comprehensively
addressed
at
level,
but
partially
implemented
regions.
Based
our
findings,
we
develop
typology
sketching
top-down
implementation
strategies.
Язык: Английский
Twin transition in industrial organizations: Conceptualization, implementation framework, and research agenda
Technological Forecasting and Social Change,
Год журнала:
2025,
Номер
213, С. 123995 - 123995
Опубликована: Фев. 3, 2025
Язык: Английский
Crossing Paths of Industry 4.0 and Sustainability: A Bibliometric Analysis of Twin Transition Literature
Procedia Computer Science,
Год журнала:
2025,
Номер
253, С. 1730 - 1739
Опубликована: Янв. 1, 2025
Язык: Английский
Local varieties of state-directed green and digital innovation processes in China: Evidence from Shanghai, Hangzhou, and Longyan
Geoforum,
Год журнала:
2025,
Номер
161, С. 104247 - 104247
Опубликована: Март 6, 2025
Язык: Английский
What Can Mission-Oriented Innovation Policy Learn from China?
Опубликована: Янв. 1, 2024
Язык: Английский
Revolutionizing the Digital Creative Industries: The Role of Artificial Intelligence in Integration, Development, and Innovation
SEISENSE Journal of Management,
Год журнала:
2024,
Номер
7(1), С. 135 - 152
Опубликована: Сен. 2, 2024
Purpose
-
Artificial
intelligence
is
profoundly
transforming
the
digital
creative
industry,
becoming
a
key
force
in
industrial
upgrading
through
technology
integration,
innovation
drive
and
productivity
improvement.
Methods-
This
study
uses
variety
of
methods,
including
literature
review,
questionnaire
survey,
in-depth
interview
data
analysis,
to
systematically
examine
application
effect
AI
industry.
The
structural
equation
model
used
verify
hypothesized
relationship,
role
promoting
development
results
catalysis
are
comprehensively
analyzed.
Research
results-
research
that
importantly
promotes
technological
inside
improves
general
overall
performance
path
coefficient
incredibly
substantial,
fit
good,
which
verifies
effective
position
integration
development.
not
only
competitiveness
but
also
provides
robust
support
for
personalization
excessive
quality
products.
Originality-
paper
demonstrates
remarkable
originality
theoretical
framework
construction,
empirical
exploration
practical
challenges
this
deeply
analyzes
multiple
mechanisms
providing
new
ideas
specific
quantitative
evidence
related
fields.
Implications
Practitioners
need
actively
accept
era,
optimize
workflows,
enhance
production
efficiency
constantly
their
talents
cross-area
information
capabilities.
Policymakers
should
formulate
focused
policies
promote
vast
deep
technologies
industries.
Язык: Английский