Journal of Environmental Management,
Journal Year:
2023,
Volume and Issue:
347, P. 119169 - 119169
Published: Oct. 7, 2023
Inspired
by
Denmark's
ambitious
renewable
energy
initiatives
and
its
commitment
to
achieving
a
substantial
70
percent
reduction
in
greenhouse
gas
(GHG)
emissions
2030
net-zero
2050,
this
study
delves
deeper
into
examining
the
roles
of
source
efficiency,
utilization,
environment-related
technologies
spanning
years
from
1990
2021.
A
comprehensive
array
wavelet
tools,
including
coherence,
wavelet-based
ordinary
least
squares
(WBOLS),
Continuous
Wavelet
Transform
(CWT),
Granger
causality,
correlation,
was
employed
dissect
these
dynamics.
The
primary
findings
underscore
potential
for
enhancing
environmental
sustainability
through
key
indicators.
For
instance,
employing
WBOLS
method
reveals
that
increase
consumption
translates
an
approximate
∼0.02%,
∼0.03%,
∼0.54%
GHG
short-,
medium-,
long-term,
respectively.
Similarly,
improvements
efficiency
yield
remarkable
outcomes.
one
natural
utilization
leads
emission
reductions
∼0.44%,
∼0.19%,
∼0.83%
Moreover,
1
enhancement
coal
results
∼0.23%,
∼0.91%
Furthermore,
indicates
surge
1%
innovation
corresponds
∼0.56%,
∼0.10%,
∼0.02%
are
notably
substantiated
CWT
causality
approach.
Considering
somewhat
modest
impact
on
emissions,
especially
recommends
deliberate
emphasis
design
formulation
environmentally-related
innovations
prioritize
attributes
such
as
reliability,
durability,
adaptability.
Energy & Environment,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Dec. 25, 2023
This
paper
investigates
the
intricate
relationship
between
artificial
intelligence
(AI)
and
green
innovation
within
context
of
sustainable
development
goals.
As
societies
strive
to
achieve
sustainability,
understanding
dynamics
technological
advancements
environmental
progress
becomes
paramount.
Drawing
from
panel
data
encompassing
51
countries
2000
2019,
this
study
employs
fixed-effects
models,
mediated
effects
spatial
Durbin
models
meticulously
examine
influence
AI
on
innovation.
The
empirical
findings
reveal
a
robust
significantly
positive
correlation
innovation,
highlighting
critical
role
in
fostering
Heterogeneity
analysis
across
developed
developing
economies
delineates
variations
impact
shedding
light
economic
levels
financial
structures.
Developed
nations
showcase
more
pronounced
AI-green
compared
their
counterparts,
complexities
technology
adoption
distinct
landscapes.
Moreover,
delves
into
transmission
mechanisms
underlying
nexus,
revealing
mediating
roles
industrial
structure
human
capital.
Industrial
upgrading
enhancement
capital
emerge
as
crucial
pathways
through
which
indirectly
stimulates
Spatial
analyses
reveals
relevance
globally,
emphasizing
AI's
substantial
not
only
domestic
spheres
but
also
neighboring
regions.
There
are
significant
direct,
indirect,
total
its
spillover
characteristics
catalytic
it
plays
driving
collaborative
global
scale.
research
contributes
nuanced
insights
interplay
providing
foundation
for
policymakers,
businesses,
researchers
comprehend
multifaceted
dimensions
interventions
emphasize
imperative
efforts
utilizing
potential
propel
thereby
advancing
sustainability
agendas.
International Journal of Sustainable Development & World Ecology,
Journal Year:
2024,
Volume and Issue:
31(5), P. 497 - 522
Published: Jan. 2, 2024
Germany
has
not
yet
made
significant
progress
toward
achieving
SDGs
7
and
13.
This
challenge
can
be
attributed
to
the
underlying
financialization
problem
in
Germany,
as
well
implementation
issues
related
energy
efficiency,
particularly
coal
gas,
renewable
consumption.
Given
these
circumstances,
is
facing
challenges
reducing
greenhouse
gas
emissions.
Addressing
this
issue
may
necessitate
a
policy
realignment,
which
primary
focus
of
study.
In
context,
our
study
employs
various
wavelet-based
tools,
including
wavelet
coherence,
multivariate
causality,
delve
into
co-movements,
direction
causality
between
load
capacity
factor
(LF)
key
factors
such
efficiency
(gas
coal),
technological
innovation,
electricity,
financial
development,
focusing
on
during
period
from
1990Q1
2020Q4.
The
results
corroborated
by
cohesion,
indicate
that
short
medium
term,
improvements
are
associated
with
an
increase
LF,
thereby
contributing
ecological
quality.
Furthermore,
coherence
underscore
impact
considering
or
effect
third
variable
interrelationship
LF
its
determinants,
being
more
pronounced
when
taken
account.
Although
framework
primarily
targets
objectives
SDG
13
7,
applicability
extends
other
EU
nations.
significance
proposal
SDG-focused
framework.
