Sustainable global semiconductor supply chain network design considering ESG
Technology in Society,
Год журнала:
2025,
Номер
unknown, С. 102829 - 102829
Опубликована: Янв. 1, 2025
Язык: Английский
Digital twins for supply chain operations: An introduction
Elsevier eBooks,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 1, 2025
Язык: Английский
Sustainable Transition of the Global Semiconductor Industry: Challenges, Strategies, and Future Directions
Sustainability,
Год журнала:
2025,
Номер
17(7), С. 3160 - 3160
Опубликована: Апрель 2, 2025
The
semiconductor
industry
is
essential
to
information
technology
and
the
ongoing
artificial
intelligence
transformation
but
also
poses
significant
environmental
challenges,
including
greenhouse
gas
emissions,
air
pollution,
solid
waste,
high
water
energy
consumption.
This
review
identifies
key
emission
sources
in
manufacturing,
focusing
on
release
of
fluorinated
gases
from
chemical-intensive
processes
sector’s
substantial
demands.
We
evaluate
effectiveness
limitations
current
mitigation
strategies,
such
as
process
optimization,
clean
adoption,
material
substitution.
examine
supply
chain
interventions,
green
procurement,
logistics
intelligent
management
systems.
While
technological
innovation
crucial
for
sustainable
transition
global
industry,
cost
upgrading
greener
production
remains
a
major
obstacle.
Despite
progress
integration
alternatives,
challenges
persist
reducing
emissions
across
entire
value
chain.
underscores
an
urgent
need
collaborative,
integrated
approaches
drive
sector
its
upstream
Язык: Английский
Greenwashing in ESG information disclosure: An intertemporal signaling game approach
International Journal of Production Economics,
Год журнала:
2025,
Номер
unknown, С. 109674 - 109674
Опубликована: Май 1, 2025
Язык: Английский
Unlocking ESG Performance Through Intelligent Manufacturing: The Roles of Transparency, Green Innovation, and Supply Chain Collaboration
Sustainability,
Год журнала:
2024,
Номер
16(23), С. 10724 - 10724
Опубликована: Дек. 6, 2024
With
the
advancement
of
global
sustainable
development
goals
and
introduction
‘dual-carbon’
strategy,
intelligent
manufacturing
(IM)
has
become
an
important
pathway
to
promote
transformation
upgrading
enterprises.
However,
ways
in
which
IM
enhances
environmental,
social,
corporate
governance
(ESG)
performance,
along
with
its
potential
mechanisms,
remain
unexplored.
This
study
employs
a
two-way
fixed-effects
model
panel
data
from
4417
Chinese
listed
firms
spanning
period
2009–2022
examine
these
relationships.
It
is
found
that
significantly
improves
ESG
performance.
Robustness
tests
confirm
reliability
results,
mechanism
analysis
highlights
mediating
effects
information
transparency,
green
technology
innovation,
supply
chain
collaborative
innovation.
Furthermore,
heterogeneity
indicates
notably
stronger
effect
high-carbon-emission
sectors,
state-owned
enterprises,
high-tech
industries.
suggests
policymakers
should
design
differentiated
policies
based
on
industry
firm
characteristics
adoption
foster
strategies.
research
contributes
expanding
theoretical
understanding
how
affects
while
also
providing
empirical
evidence
for
enterprises
governments
transformation.
Язык: Английский