Journal of Manufacturing Technology Management,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 23, 2025
Purpose
Innovation
resilience,
which
refers
to
firms’
ability
consistently
innovate
and
recover
from
disruptions,
has
recently
gained
increasing
attention.
Digital
transformation
plays
a
crucial
role
in
the
innovation
of
manufacturing
firms.
This
paper
aims
investigate
impact
mechanisms
resilience
context
digital
transformation.
Design/methodology/approach
Using
panel
data
Chinese
A-share
listed
firms
spanning
2017
2022
as
an
example,
this
research
examines
on
resilience.
It
also
tests
moderating
effect
network
embeddedness
mediation
absorptive
capacity.
Findings
is
found
that
can
enhance
Furthermore,
structural
relational
within
networks
moderate
relationship
between
The
capacity
acts
mediator
Originality/value
one
first
studies
investigates
based
theory
dynamic
capability
theory.
Energies,
Год журнала:
2024,
Номер
17(12), С. 2899 - 2899
Опубликована: Июнь 13, 2024
Climate
change
has
a
significant
impact
on
human
economic
and
social
life,
climate
issues
have
rapidly
emerged
as
global
hot
topic.
Using
data
from
prefecture-level
cities
in
China
2005
to
2020
sample,
this
study
explores
the
relationship
between
policy
uncertainty
(CPU)
urban
green
total
factor
energy
efficiency
(GTFEE).
The
results
show
that,
first,
CPU
can
significantly
improve
GTFEE,
are
reconfirmed
after
various
robustness
tests.
Second,
promotes
GTFEE
by
improving
public
environmental
concerns
optimizing
consumption
structure.
Third,
promotion
role
of
is
particularly
resource-based
economically
developed
cities.
provide
theoretical
basis
practical
enlightenment
for
government
formulate
forward-looking
policies
promote
transformation
development
Environmental Technology & Innovation,
Год журнала:
2024,
Номер
35, С. 103653 - 103653
Опубликована: Май 5, 2024
Analysing
the
impact
of
green
finance
policies
on
urban
energy
efficiency
contributes
to
finding
solutions
promote
development
China's
low-carbon
system
and
global
reduction
greenhouse
gas
emissions.
Utilizing
Chinese
data
from
2006
2021,
study
employs
an
enhanced
non-radial
distance
function
(NDDF)
model
evaluate
282
prefecture-level
cities.
It
examines
'Green
Finance
Reform
Innovation
Pilot
Zone'
policy
as
a
quasi-natural
experiment.
uses
double
machine
learning
analyze
its
effect
mechanisms.
The
research
demonstrates
that
significantly
improve
efficiency,
mainly
through
strengthening
environmental
regulation,
fostering
technology
innovation,
optimizing
industrial
structure.
Additionally,
in-depth
analysis
regional
heterogeneity
reveals
variations
in
policy's
effectiveness
across
eastern,
central,
western
regions
between
resource-rich
resource-poor
findings
suggest
efficacy
policies,
while
generally
positive,
is
influenced
by
economic
resource
endowment
differences.
suggests
targeted
strategies
system,
customize
according
specifics,
incentivize
corporate
foster
cross-sectoral
collaboration.
By
offering
novel
insights
into
sustainable
providing
actionable
recommendations,
this
advancing
centres'
sustainability
strategic
application
finance.
