Heliyon,
Год журнала:
2024,
Номер
10(13), С. e33312 - e33312
Опубликована: Июнь 21, 2024
Sustainable
development
has
become
a
strategic
consensus
in
response
to
the
global
environmental
problems.
Green
credit
is
major
policy
innovation
that
promotes
transformation
of
economic
mode
and
industrial
green
(IGT).
Using
provincial
panel
data
from
2005
2020,
we
investigate
effect
on
IGT
using
systematic
GMM
model,
dynamic
threshold
as
well
possible
nonlinear
relationship.
Benchmark
regression
results
show
can
encourage
transformation.
In
addition,
there
single
with
value
0.2612.
The
trend
"negative
positive".
According
moderating
results,
regulation
moderates
negative
manner.
As
regulations
more
stringent,
contribution
will
diminish.
intermediary
mechanism
test
demonstrates
technology
marketization
level
play
partial
role.
Heterogeneity
testing
confirms
function
promoting
significant
regions
higher
finance
lower
degree
government
intervention.
Therefore,
should
financial
institutions
provide
products
services
meet
financing
needs
different
projects,
thereby
facilitating
Humanities and Social Sciences Communications,
Год журнала:
2024,
Номер
11(1)
Опубликована: Авг. 14, 2024
Abstract
This
study
examines
the
multifaceted
impact
of
artificial
intelligence
(AI)
on
environmental
sustainability,
specifically
targeting
ecological
footprints,
carbon
emissions,
and
energy
transitions.
Utilizing
panel
data
from
67
countries,
we
employ
System
Generalized
Method
Moments
(SYS-GMM)
Dynamic
Panel
Threshold
Models
(DPTM)
to
analyze
complex
interactions
between
AI
development
key
metrics.
The
estimated
coefficients
benchmark
model
show
that
significantly
reduces
footprints
emissions
while
promoting
transitions,
with
most
substantial
observed
in
followed
by
footprint
reduction
reduction.
Nonlinear
analysis
indicates
several
insights:
(i)
a
higher
proportion
industrial
sector
diminishes
inhibitory
effect
but
enhances
its
positive
transitions;
(ii)
increased
trade
openness
amplifies
AI’s
ability
reduce
promote
(iii)
benefits
are
more
pronounced
at
levels
development,
enhancing
(iv)
as
transition
process
deepens,
effectiveness
reducing
increases,
role
further
transitions
decreases.
enriches
existing
literature
providing
nuanced
understanding
offers
robust
scientific
foundation
for
global
policymakers
develop
sustainable
management
frameworks.
Sustainable Development,
Год журнала:
2024,
Номер
unknown
Опубликована: Авг. 27, 2024
Abstract
This
study
explores
the
impact
of
artificial
intelligence
(AI)
on
sustainable
development
across
51
countries
during
urbanization.
Using
panel
data,
examines
AI's
effects
through
three
dimensions:
R&D
innovation,
infrastructure,
and
market
advantage.
The
results
demonstrate
that
AI
promotes
development,
with
innovation
exerting
strongest
influence,
followed
by
whereas
advantage
has
smallest
impact.
Additionally,
uncovers
regional
heterogeneity
in
impacts.
In
upper
middle
levels
(60%–70%
quantiles),
promoting
effect
is
strongest.
Moreover,
urbanization
plays
a
threshold
role
relationship
between
development.
When
below
threshold,
infrastructure
promote
inhibit
it.
Conversely,
when
exceeds
this
inhibits
becomes
insignificant,
begin
to
recommends
governments
should
consider
level
crafting
policies
utilizing
AI.
Energies,
Год журнала:
2024,
Номер
17(3), С. 646 - 646
Опубликована: Янв. 30, 2024
Recently,
worldwide,
the
attention
being
paid
to
hydrogen
and
its
derivatives
as
alternative
carbon-free
(or
low-carbon)
options
for
electricity
sector,
transport
industry
sector
has
increased.
Several
projects
in
field
of
low-emission
production
(particularly
electrolysis-based
green
hydrogen)
have
either
been
constructed
or
analyzed
their
feasibility.
Despite
great
ambitions
announced
by
some
nations
with
respect
becoming
hubs
export,
quantification
levels
at
which
derived
products
are
expected
penetrate
global
energy
system
various
demand
sectors
would
be
useful
order
judge
practicality
likelihood
these
future
targets.
The
current
study
aims
summarize
expectations
level
could
spread
into
economy,
under
two
possible
scenarios.
first
scenario
corresponds
a
business-as-usual
(BAU)
pathway,
where
world
proceeds
same
existing
policies
targets
related
emissions
low-carbon
transition.
This
forms
lower
bound
role
penetration
system.
second
an
emission-conscious
governments
cooperate
implement
changes
necessary
decarbonize
economy
2050
achieve
net-zero
carbon
dioxide
(carbon
neutrality),
thus
limit
rise
mean
surface
temperature
1.5
°C
2100
(compared
pre-industrial
periods).
upper
utilizes
latest
release
annual
comprehensive
report
WEO
(World
Energy
Outlook—edition
year
2023,
26th
edition)
IEA
(International
Agency),
well
WETO
Transitions
third
IRENA
Renewable
Agency).
For
IEA-WEO
report,
situation
is
STEPS
(Stated
“Energy”
Policies
Scenario),
emissions-conscious
NZE
(Net-Zero
Emissions
2050).
IRENA-WETO
PES
(Planned
1.5°C
scenario.
Through
results
presented
here,
it
becomes
infer
realistic
range
utilization
2030
2050.
In
addition,
enables
divergence
between
models
used
estimated,
identifying
different
predictions
similar
variables
conditions.
covers
miscellaneous
other
than
hydrogen,
helpful
establishing
good
view
how
may
look
Some
barriers
(such
uncompetitive
levelized
cost
drivers
German
H2Global
initiative)
also
discussed.
finds
that
large-scale
source
highly
uncertain,
reached
slowly,
given
more
decades
mature.
this,
dominate
increase
from
0
million
tonnes
2021
22
327
(with
electrolyzer
capacity
exceeding
5
terawatts)
2050,
depending
on
commitment
policymakers
toward
decarbonization
transitions.
Humanities and Social Sciences Communications,
Год журнала:
2025,
Номер
12(1)
Опубликована: Янв. 3, 2025
Abstract
Marine
fisheries
constitute
a
crucial
component
of
global
green
development,
where
artificial
intelligence
(AI)
plays
an
essential
role
in
enhancing
economic
efficiency
associated
with
marine
fisheries.
This
study
utilizes
panel
data
from
11
coastal
provinces
and
municipalities
China
2009
to
2020,
employing
the
entropy
method
super-efficiency
EBM
model
calculate
AI
index
Based
on
these
calculations,
we
utilize
fixed
effects
models,
moderation
effect
threshold
models
examine
impact
The
reveals
that:
(i)
From
has
significantly
improved
overall,
while
shown
fluctuating
trend,
substantial
regional
disparities.
(ii)
enhances
(iii)
Green
finance,
trade
openness,
R&D
investment
act
as
moderating
variables,
accelerating
development
further
improving
(iv)
varies
across
different
intervals
investment.
These
findings
are
for
understanding
advancing
informatization
strategy
hold
significant
implications
sustainable
