An integrated analysis of AI-driven green financing, subsidies, and knowledge to enhance CO2 reduction efficiency
Economic Analysis and Policy,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Dec. 1, 2024
Language: Английский
How Does the Interplay Between Banking Performance, Digitalization, and Renewable Energy Consumption Shape Sustainable Development in European Union Countries?
Energies,
Journal Year:
2025,
Volume and Issue:
18(3), P. 571 - 571
Published: Jan. 25, 2025
In
the
context
of
current
global
challenges,
integration
digitalization,
financial
performance,
and
renewable
energy
is
pivotal
in
fostering
sustainable
resilient
economic
development.
The
aim
this
paper
to
explore
interplay
between
banking
consumption
European
Union
(EU),
with
a
focus
on
This
study
examines
extent
which
digitalization
efficiency
sector
influence
uptake
considering
EU’s
environmental
priorities.
methodology
used
involves
an
econometric
analysis
based
statistical
data
from
EU
countries,
using
Fully
Modified
Ordinary
Least
Squares
(FMOLS)
assess
causal
relationships
variables,
complemented
by
Vector
Autoregression
(VAR)
models
Granger
causality
tests
further
investigate
dynamic
interactions
among
variables.
were
analyzed
examine
correlation
levels.
results
reveal
positive
greater
sector,
stronger
higher
investments
sources.
These
factors
also
support
transition
green
economy,
but
effect
varies
countries
depending
national
policies
existing
digital
infrastructure.
Recommendations
for
policymakers
include
stimulating
creating
regulatory
framework
encourage
investments,
strengthening
collaboration
institutions
facilitate
renewables.
suggests
fiscal
policy
conducive
technological
innovation
accelerate
energy.
Language: Английский
Artificial Intelligence and Social Well-Being in the Yellow River Basin: A Cultural Lag Theory Perspective
Z. X. Song,
No information about this author
Y. P. Duan,
No information about this author
Guanying Wang
No information about this author
et al.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(5), P. 2006 - 2006
Published: Feb. 26, 2025
Amid
comprehensive
reforms,
artificial
intelligence
(AI)
has
emerged
as
a
vital
force
in
solving
people’s
problems
and
enhancing
quality
of
life.
Yet,
theoretical
inquiries
into
the
mechanisms
by
which
AI
influences
social
well-being
remain
limited.
Drawing
upon
cultural
lag
theory,
this
study
constructs
index
system
based
on
Gini
coefficient
objective
weighting
method.
By
integrating
moderated
mediation
model
with
spatial
econometric
model,
it
examines
impacts
well-being.
The
findings
reveal
that
induces
multiple
lags
exerts
U-shaped
impact
enhances
through
channels
employment
opportunities,
human
capital,
green
innovation,
while
digital
inclusion
foreign
direct
investment
(FDI)
further
reinforce
relationship.
Additionally,
generates
spillover
effects
well-being,
region’s
landscape
exhibits
convergence.
However,
both
FDI
negatively
moderate
convergence
process,
slowing
its
overall
pace.
These
insights
provide
substantial
practical
guidance
for
crafting
informed
policies
aimed
at
elevating
public
Language: Английский
The nexus of artificial intelligence and sustainability performance: Unveiling the impact of supply chain transparency and customer pressure on ethical conduct
Journal of Environmental Management,
Journal Year:
2025,
Volume and Issue:
379, P. 124847 - 124847
Published: March 6, 2025
Language: Английский
Artificial Intelligence-Aided Next Generation Cloud Computing Networks
Swati Kumari,
No information about this author
Bharat Bhushan,
No information about this author
Khsursheed Aurangzeb
No information about this author
et al.
Advances in computational intelligence and robotics book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 285 - 306
Published: Jan. 17, 2025
Next-generation
wireless
networks
(NGWNs)
are
extremely
dynamic
due
to
the
integration
of
communications
at
different
scales.
(NGNs)
high-speed
communication
network
that
enables
many
services
such
as
packet
based
seamless
transmission
data
and
information.
The
emergence
artificial
intelligence
(AI)
helped
NGNs
overcome
their
existing
issues
by
enabling
automated
management
real-time
optimization.
AI
can
address
next-generation
challenges
enhancing
security
through
intelligent
threat
detection,
improving
scalability
via
resource
management,
reducing
latency
with
predictive
analytics.
paper
presents
various
aspects
discusses
most
potential
techniques.
Further,
this
highlights
next
generation
how
solve
problems
in
NGNs.
Finally,
some
recent
advancement
regards
techniques
being
used
specifically
machine
learning,
deep
fuzzy
logic,
rule
modelling
natural
language
processing.
Language: Английский
Non-linear research on artificial intelligence empowering green economic efficiency under integrated governance framework
Zheng Qiang Song,
No information about this author
Yao Deng
No information about this author
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
Language: Английский
Turning trash into treasure: Exploring the potential of AI in municipal waste management - An in-depth review and future prospects
Asmae El Jaouhari,
No information about this author
Ashutosh Samadhiya,
No information about this author
Anil Kumar
No information about this author
et al.
Journal of Environmental Management,
Journal Year:
2024,
Volume and Issue:
373, P. 123658 - 123658
Published: Dec. 9, 2024
Language: Английский
Synergies between ESG Performance and Financing Cost Control in Advanced Manufacturing Firms in the Digital Era
Shuyi Zheng,
No information about this author
Tiantian Wang
No information about this author
Applied Mathematics and Nonlinear Sciences,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: Jan. 1, 2024
Abstract
In
the
context
of
digital
era,
advanced
manufacturing
firms
exhibit
significant
synergies
between
their
environmental,
social,
and
governance
performance
cost
control
in
financing.
The
purpose
this
paper
is
to
design
an
endogenous
transformation
method
for
enterprises
evaluate
capability
using
entropy
weight
model.
To
analyze
relationship
enterprise’s
ESG
performance,
regression
equations
are
used
collect
data.
proposal
demonstration
suggest
analyzing
synergistic
effect
enterprise
financing
manner.
comprehensive
ability
shows
a
steady
increase
2018
2023,
brush
most
measured
0.064
0.076.
After
fixing
industry
time
effects,
one-unit
improvement
corporate
associated
with
corresponding
rise
0.0622.
Lower
costs
can
be
achieved
through
better
that
have
been
digitally
transformed.
analysis
proves
hypothesis
negatively
correlated
costs.
summary,
achieve
more
efficient
greener
development
transformation,
enhance
sustainability
capability.
Language: Английский