Processes,
Journal Year:
2023,
Volume and Issue:
11(9), P. 2705 - 2705
Published: Sept. 10, 2023
Carbon
emissions
have
gained
worldwide
attention
in
the
industrial
era.
As
a
key
carbon-emitting
industry,
achieving
net-zero
carbon
manufacturing
sector
is
vital
to
mitigating
negative
effects
of
climate
change
and
sustainable
development.
The
rise
intelligent
technologies
has
driven
structural
transformations
that
may
help
achieve
reduction.
Artificial
intelligence
(AI)
technology
an
important
part
digitalization,
providing
new
technological
tools
directions
for
low
development
enterprises.
This
study
selects
Chinese
A-share
listed
companies
industry
from
2012
2021
as
research
objects
uses
fixed-effects
regression
model
relationship
between
AI
emissions.
clarifies
significance
enterprise
applications
realizing
reduction
explores
regulatory
mechanism
perspective
innovation
effect.
results
show
application
positively
impacts
Simultaneously,
green
innovation,
management
product
play
moderating
roles;
other
words,
strengthens
effect
on
necessity
enriches
theories
related
Journal of Cleaner Production,
Journal Year:
2022,
Volume and Issue:
363, P. 132645 - 132645
Published: June 11, 2022
Uncertainty
in
economic
policies
and
regulations
incentivizes
firms
to
delay
investments
environmental
research
developments
(R&D)
or
postpone
projects
that
are
costly
undo.
A
consequence
of
those
decisions
is
innovate
less
for
the
environment.
Using
1026
U.S.
firm
data
(equivalent
13,241
firm-year
observations)
this
study
shows
a
negative
effect
policy
uncertainty
–
drop
innovation
does
not
surface
short
term
but
longer
term,
i.e.,
5–6
years’
time.
The
effect,
nevertheless,
dissipates
after
six
years.
These
findings
relevance
other
developed
countries
as
well
emerging
have
relatively
higher
their
regulations.
In
sum,
results
call
attention
from
governments
regulators
around
world:
detrimental
combating
climate
change
promoting
sustainability.
Processes,
Journal Year:
2023,
Volume and Issue:
11(9), P. 2705 - 2705
Published: Sept. 10, 2023
Carbon
emissions
have
gained
worldwide
attention
in
the
industrial
era.
As
a
key
carbon-emitting
industry,
achieving
net-zero
carbon
manufacturing
sector
is
vital
to
mitigating
negative
effects
of
climate
change
and
sustainable
development.
The
rise
intelligent
technologies
has
driven
structural
transformations
that
may
help
achieve
reduction.
Artificial
intelligence
(AI)
technology
an
important
part
digitalization,
providing
new
technological
tools
directions
for
low
development
enterprises.
This
study
selects
Chinese
A-share
listed
companies
industry
from
2012
2021
as
research
objects
uses
fixed-effects
regression
model
relationship
between
AI
emissions.
clarifies
significance
enterprise
applications
realizing
reduction
explores
regulatory
mechanism
perspective
innovation
effect.
results
show
application
positively
impacts
Simultaneously,
green
innovation,
management
product
play
moderating
roles;
other
words,
strengthens
effect
on
necessity
enriches
theories
related
