Energy & Environment,
Год журнала:
2024,
Номер
unknown
Опубликована: Дек. 19, 2024
Digital
exports,
financial
stability,
and
energy
security
are
vital
in
determining
green
growth.
However,
no
empirics
the
past
have
shed
light
on
relationship
between
digital
security,
The
main
focus
of
analysis
is
how
affect
growth
33
world's
leading
energy-consuming
economies
from
2000
to
2021.
To
that
end,
study
employed
novel
cross-sectionally
augmented
autoregressive
distributed
lag
(CS-ARDL)
model.
Our
findings
show
exports
stability
boost
long-run
full
sample
Asian,
European,
American
models,
while
risks
hinder
models.
Environmental
technology
promotes
full-sample
European
renewable
consumption
helps
In
short
run,
crucial
for
Asian
environmental
benefits
all
Integrating
sustainable
practices
ecologically
commercially
rewarding
a
fast-changing
global
context
essential.
Sustainability Accounting Management and Policy Journal,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 21, 2025
Purpose
This
paper
aims
to
unveil
the
greenwashing
intention
of
green
bonds
issuing
in
Chinese
enterprises
through
lens
stock
pricing
efficiency.
Design/methodology/approach
Drawing
on
data
listed
companies
during
2012–2021,
this
study
uses
a
difference-in-differences
method
how
and
what
mechanisms
impacts
Findings
Issuing
lowers
efficiency,
verifying
China.
Potential
underlie
increased
investor
attention
sentiment
resulting
from
information
disclosures
about
corporate
low-carbon
development.
issue
is
more
pronounced
firms
facing
lower
financing
constraints,
having
stronger
relations
with
government,
located
highly
marketized
regions.
In
context
uncertainty
surrounding
economic
policies,
especially
trade
can
signal
weakening
effect.
Practical
implications
The
quality
disclosure
should
be
emphasized
ensure
substantive
commitment
environmental
responsibility
signaled
by
bond
issuance,
thereby
mitigating
concerns.
Social
Regulators
standard-setters
improve
issuance
system
for
promote
sustainable
development
market
formulating
unified
certification
criteria
implementing
stringently
periodic
reporting
system.
Originality/value
First,
best
authors’
knowledge,
it
first
draw
perspective
efficiency
identify
whether
engage
greenwashing.
Second,
uncovers
black-box
underlying
examines
further
moderating
role
policy
uncertainties.
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 203 - 228
Опубликована: Апрель 17, 2025
As
cloud
computing
grows,
so
does
the
environmental
impact
of
data
centres,
with
energy
use
and
electronic
waste
emerging
as
key
concerns.
This
paper
tends
to
understand
how
combining
green
intelligent
engineering
practices
can
help
build
more
sustainable
infrastructure.
Focusing
on
two
main
areas,
such
optimization
e-waste
reduction.
It
analyses
AI-driven
approaches
like
resource
allocation
predictive
maintenance
make
a
difference.
In
practice,
leverages
machine
learning
handle
workloads
efficiently,
adjusting
resources
based
real-time
demand.
approach
not
only
reduces
excess
but
also
cuts
down
carbon
emissions.
Meanwhile,
taps
into
analytics
monitor
hardware
health,
addressing
potential
issues
before
they
turn
failures.
proactive
extends
lifespan
minimizes
e-waste,
reducing
need
for
frequent
replacements.
