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
The Singapore Economic Review,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 23
Published: Jan. 8, 2024
The
strengthening
of
the
deep
integration
innovation
and
green
is
a
necessary
measure
for
sustainable
urban
development.
Based
on
improved
Global-EBM,
this
study
regards
innovative
city
policy
as
quasi-natural
experiment
evaluates
its
spatial
spillover
effects
potential
impact
channels.
results
show
that
(1)
enhances
total
factor
carbon
emission
efficiency
(TFCEE)
has
positive
surrounding
regions.
(2)
mechanism
test
shows
effective
channels
policies
to
enhance
TFCEE
generate
come
from
improving
degree
technology
resource
allocation.
(3)
effect
more
significant
developed,
coastal
advanced
industrial
structures.
This
strengthens
theoretical
foundation
promoting
cross-regional
coordinated
development
provides
valuable
suggestions
policymakers.
Frontiers in Environmental Science,
Journal Year:
2025,
Volume and Issue:
12
Published: Jan. 3, 2025
Introduction
With
industrial
transformation
and
upgrading
being
essential
to
attaining
sustainable
growth,
the
pursuit
of
green
development
has
grown
in
importance
on
a
global
scale.
Methods
This
study
employs
sample
dataset
from
2011
2021,
utilizing
national
Industrial
Transformation
Upgrading
Zones
(ITUZ)
policy
interventions
2017
2019
as
quasi-natural
experiment.
Employing
difference-in-differences
approach,
this
paper
investigates
impact
underlying
mechanisms
these
policies
technology
innovation,
well
their
heterogeneity
across
different
urban
contexts.
Results
The
results
indicate
that
ITUZ
substantially
improves
innovation
designated
cities,
conclusion
persists
multiple
robustness
assessments.
Subsequent
mechanistic
research
reveals
financial
enhancement
structures
are
avenues
for
realization
innovation.
highlights
policy’s
significant
eastern
uniform
demonstration
zones,
old
cities.
Discussion
finishes
with
practical
implications
design,
indicating
it
is
extract
share
beneficial
experiences
pilot
cities
during
establishment
zones.
It
underscores
synchronizing
local
characteristics
investigate
varied
successful
approaches
advancing
offers
critical
insights
policymakers
planners
guiding
transition
older
resource-based
toward
more
environmentally
friendly
future.
International Journal of Climate Change Strategies and Management,
Journal Year:
2022,
Volume and Issue:
15(2), P. 212 - 231
Published: Sept. 19, 2022
Purpose
Carbon
trading
mechanism
has
been
adopted
to
foster
the
green
transformation
of
economy
on
a
global
scale,
but
its
effectiveness
for
power
industry
remains
controversial.
Given
that
energy-related
greenhouse
gas
emissions
account
most
all
anthropogenic
emissions,
this
paper
aims
evaluate
at
plant
level
support
relevant
decision-making
and
design.
Design/methodology/approach
This
constructs
novel
spatiotemporal
data
set
by
matching
satellite-based
high-resolution
(1
×
1
km)
CO
2
PM
2.5
emission
with
accurate
geolocation
plants.
It
then
applies
difference-in-differences
model
analyse
impact
carbon
reduction
in
China
from
2007
2016.
Findings
Results
suggest
induces
2.7%
6.7%
plants
pilot
areas
average.
However,
effect
is
significant
only
coal-fired
not
gas-fired
Besides,
operated
different
technologies
more
pronounced
those
outdated
production
technology,
indicating
strong
potential
development
backward
The
also
intense
without
affiliation
relationships
than
affiliated
particular
manufacturers.
Originality/value
identifies
causal
relationship
between
providing
an
innovative
methodology
identifying
plant-level
based
satellite
data,
which
practically
absent
previous
studies.
serves
as
reference
stakeholders
involved
detailed
policy
formulation
execution,
including
policymakers,
managers
investors.
