Sustainability,
Journal Year:
2024,
Volume and Issue:
16(10), P. 4225 - 4225
Published: May 17, 2024
The
use
of
express
packaging
and
its
recycling
produces
large
amounts
carbon
dioxide.
In
order
to
achieve
China’s
“dual
carbon”
goal,
this
study
adopted
a
literature
research
method
explore
the
idea
intelligent
cabinets.
Based
on
current
design
cabinets,
new
ideas
for
their
improvement
are
proposed.
This
also
explored
methods
improving
people’s
willingness
cabinets
through
experimental
quantitative
analysis.
results
show
that
reward
mechanism
has
significant
effect
Of
two
types
rewards,
immediate
compared
delayed
can
further
increase
Gain
loss
trade-offs
play
mediating
role
between
it,
consumers
make
choice
after
weighing
up
advantages
disadvantages.
If
feel
it
is
worthwhile
protect
environment,
in
terms
rewards
they
obtain
time
effort
have
spend
using
gain
outweighs
loss,
will
be
inclined
system.
Environmental
responsibility
plays
moderating
trade-off
gains
losses.
context
low
environmental
responsibility,
cash
lead
greater
point
while
high
there
no
difference
rewards.
provides
promotion
with
goal
effectively
rate
waste.
Environment Development and Sustainability,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 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,
Journal Year:
2025,
Volume and Issue:
3
Published: Jan. 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
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(8), P. 3161 - 3161
Published: April 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
Scientific Reports,
Journal Year:
2025,
Volume and Issue:
15(1)
Published: March 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.
