Applied Sciences,
Год журнала:
2024,
Номер
14(20), С. 9577 - 9577
Опубликована: Окт. 20, 2024
This
study
investigates
the
impact
of
Industry
4.0
on
carbon
emissions
within
China’s
logistics
sector,
focusing
its
potential
to
support
global
reduction
goals.
Utilizing
panel
data
from
30
Chinese
provinces
between
2011
and
2019,
this
research
employed
an
index
alongside
IPCC
guidelines
estimate
emissions.
Through
fixed
effects
dynamic
models,
indicated
inverted
U-shaped
relationship
among
development
emission
management.
Industries
move
emitting
more
pollution
provide
their
required
needs
all
but
once
technologies
advance,
drastic
decreases
in
combustion
take
place
as
industries
towards
conservation
integration
information
continues
improve.
non-linear
sector.
employs
a
model
quantify
adoption
The
findings
reveal
relationship,
with
initially
increasing
by
10%
at
lower
levels
technology
before
decreasing
15%
reached
higher
levels.
provides
empirical
evidence
supporting
strategic
deployment
achieve
sustainable
growth.
Key
policy
implications
future
directions
are
discussed.
Environment Development and Sustainability,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 6, 2025
Under
the
"dual
carbon"
goal,
it
is
necessary
for
China's
logistics
industry
to
accelerate
its
green
and
low-carbon
transformation.
At
same
time,
increasingly
mature
development
of
finance
continuous
improvement
technological
innovation
are
expected
provide
impetus
development.
This
study
based
on
450
sample
data
from
30
provinces
in
China
2005
2019,
exploring
how
affect
industry,
as
well
mechanisms
heterogeneity
characteristics
moderating
variables
industrial
structure
environmental
regulation
above
process.
We
find
that:
Firstly,
can
promote
industry.
Secondly,
play
a
regulatory
threshold
role
procedure
promoting
Thirdly,
effects
all
exhibit
significant
characteristics.
Thus,
innovation,
coupled
with
more
reasonable
policies
appropriate
regulation,
should
be
taken
into
full
consideration
effectively
achieve
Furthermore,
considering
that
has
become
complex
due
factors
such
different
regional
economic
levels,
this
paper
proposes
targeted
differentiated
approach
i.e.,
"phased,
regional,
gradual
development"
strategy.
important
theoretical
significance
practical
value
China,
which
stage
rapid
unbalanced
development,
goals.
Frontiers in Environmental Economics,
Год журнала:
2025,
Номер
3
Опубликована: Янв. 9, 2025
Artificial
intelligence
(AI)
plays
a
pivotal
role
in
the
development
of
green
economy.
This
paper
examines
impact
artificial
on
economic
efficiency
(GEE)
using
panel
data
from
30
provinces
China
spanning
2011–2020.
A
multiple
linear
regression
model,
alongside
various
endogeneity
and
robustness
tests,
is
applied
to
ensure
reliable
findings.
The
empirical
results
indicate
that
AI
significantly
enhances
GEE.
However,
marginal
effect
GEE
influenced
by
different
governance
approaches.
In
terms
policy
governance,
excessive
market-based
environmental
regulation
(MER)
diminishes
AI,
while
stronger
administrative-command
regulations
(CER)
informal
(IER)
amplify
it.
Regarding
technological
substantive
innovations
(SUG)
reduce
AI's
effect,
whereas
symbolic
(SYG)
may
increase
Notably,
threshold
SUG
surpasses
SYG.
legal
both
administrative
judicial
intellectual
property
protections
though
protection
(AIP)
exhibits
more
significant
than
(JIP).
These
findings
offer
practical
insights
for
optimizing
strategies
maximize
promoting
highlight
need
balanced
sustainable
development.
Policymakers
should
tailor
encourage
regional
collaboration
harness
spatial
spillover
effects.
Enterprises
can
leverage
AI-driven
align
growth
with
ecological
goals,
fostering
coordinated
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Март 11, 2025
The
notable
rise
in
carbon
emissions
has
profoundly
affected
humanity's
sustainable
development.
Achieving
the
"dual-carbon"
goal
requires
understanding
how
enterprises
can
effectively
reduce
their
footprint.
To
elucidate
dynamic
correlation
of
environmental
regulation,
corporate
technological
innovation,
and
emissions,
this
study
employs
a
Panel
Vector
Autoregression
model
to
analyze
data
from
listed
firms
between
2005
2021,
using
GMM
regression,
impulse
response
analysis,
variance
decomposition.
key
findings
are:
(1)
Environmental
exhibit
self-reinforcing
mechanisms,
though
effect
weakens
over
time.
(2)
regulation
reduces
significantly,
is
partially
mediated
through
innovation.
(3)
A
bidirectional
relationship
exists
innovation
where
stronger
positive
on
reducing
emissions.
(4)
promotes
while
gradually
mitigates
stringency
regulation.
herein
offer
actionable
insights
for
adopt
cleaner
production
strategies
scientific
basis
policymakers
enhance
regulations
pursuit
low-carbon
economy.
Sustainability,
Год журнала:
2024,
Номер
16(8), С. 3161 - 3161
Опубликована: Апрель 10, 2024
The
concept
of
“green
development”
has
garnered
increasing
recognition
and
prominence
in
recent
years,
attracting
the
attention
various
countries
regions.
How
to
achieve
green
development
become
a
pressing
issue
for
government.
integration
culture
industry
tourism
had
profound
impact
on
regional
development.
This
paper
employs
entropy
method
assess
level
development,
it
coupling
coordination
model
evaluate
degree
across
30
provincial
administrative
regions
China
from
2011
2021.
Additionally,
an
econometric
is
constructed
empirically
examine
as
well
its
underlying
mechanism.
findings
this
study
indicate
following:
(1)
significantly
enhances
(2)
With
improvement
level,
playing
gradually
stronger
role
promoting
(3)
Further
analysis
mechanism
reveals
that
by
facilitating
upgrading
industrial
structure.
(4)
Environmental
regulation
policies
reinforce
These
research
contribute
enhancing
our
understanding
providing
empirical
evidence
policy
recommendations
government
facilitate
further
promote
