Heliyon,
Journal Year:
2024,
Volume and Issue:
10(18), P. e36984 - e36984
Published: Aug. 27, 2024
The
world
faces
two
significant
challenges:
promoting
sustainable
economic
growth
and
reaching
carbon
neutrality.
In
BRICS
countries,
these
challenges
are
shaped
by
renewable
energy,
green
taxes,
trade
openness.
These
countries
were
selected
for
their
strategic
location
the
abundance
of
relevant
data
collected
over
period
1990-2021,
providing
a
distinctive
window
into
energy
dynamics
area.
link
between
consumption,
openness,
natural
resources
effects
on
emissions
in
is
examined
this
study
using
Fully
Modified
Ordinary
Least
Square
Method
(FMOLS)
estimator
Drisc
Kraay
robustness
test.
findings
indicate
that
taxes
primarily
contribute
to
reducing
emissions,
particularly
at
higher
levels.
reveals
various
factors,
namely
financial
globalization,
efficient
resource
management,
population
growth,
substantially
impact
Population
positively
impacts
neutrality,
while
sources
mitigates
it.
Furthermore,
empirical
show
statistically
positive
association
neutrality
nations.
Therefore,
it
necessary
implement
an
integrated
ecological
governance
strategy
control
direct
towards
development
energy.
Heliyon,
Journal Year:
2024,
Volume and Issue:
10(15), P. e35030 - e35030
Published: July 26, 2024
A
pervasive
threat
regarding
human
health,
ecological
balance,
progress,
and
sustainability
marks
the
current
era.
Many
nations
are
grappling
with
consequences
of
overabundance
carbon
emissions
from
a
wide
range
destructive
activities,
which
is
primary
driver
air
pollution,
global
warming,
warming.
Thus,
while
some
countries
squandering
their
riches,
others
making
great
strides
to
keep
environment
clean
green
so
that
future
generations
may
thrive.
National
governments
policymakers
now
focusing
lot
energy
on
addressing
dangers
posed
by
environmental
concerns
climate
change.
very
contentious
issue
in
recent
years
has
been
link
between
change
tourism
its
vulnerability.
This
study
focuses
impact
fluctuating
visitor
numbers
greenhouse
gas
emissions,
responsible
for
acceleration
warming
other
changes.
Therefore,
we
look
at
how
most
visited
countries'
have
changed
due
increased
tourism.
The
effects
regional
scale
investigated
using
panel
data
analysis
spanning
2001-2018
China,
including
top
80
countries.
best-modified
assessment
methodologies
determine
overall,
direct,
indirect
tourist
spending
emissions.
findings
demonstrate
CO2
might
be
reduced
regulation,
urbanization,
revenue
they
could
through
economic
expansion,
population,
Due
this
distinction,
tourists'
overall
much
more
harmful
than
direct
impact.
In
addition,
U-shape
formed
growing
economy,
vice
versa.
Several
factors
population
density,
growth,
GDP
growth.
Spending
infrastructure
development
expansion
also
considerably
mitigates
impacts
alteration.
results
reveal
nation's
often
rise
industry.
Still,
begin
decline
after
certain
levels
show
two
important
policy
implications.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(16), P. 7127 - 7127
Published: Aug. 20, 2024
Global
warming
has
become
a
big
problem
around
the
world,
and
it
is
because
of
what
people
do.
As
possible
answer,
countries
are
looking
for
ways
to
keep
their
economies
growing
invest
in
technologies
that
use
clean
energy.
Therefore,
notion
carbon
neutrality
emerged
as
crucial
policy
strategy
nations
attain
sustainable
development.
This
study
expands
existing
discussions
on
by
investigating
influence
key
factors,
including
green
innovation,
financial
development,
natural
resources
depletion,
trade
openness,
institutional
quality,
growth,
urbanization
progress
made
towards
attaining
neutral
state
BRICS
nations.
considers
Method
Moment
Quantile-Regression
(MM-QR)
Prais–Winsten
correlated
panel
corrected
standard
errors
(PCSEs)
estimators
investigate
objectives
over
period
1990–2021.
Under
investigated
outcomes,
this
validated
significant
role
growth
neutrality.
On
other
hand,
finds
positive
resource
development
environmental
deterioration.
However,
under
systematic
analysis,
utilizes
different
proxies
sector,
instance,
complexity,
efficiency,
stability,
domestic
credit
provides
interesting
outcomes.
Based
these
also
suggestions
desired
levels
sustainability.
Engineering Applications of Computational Fluid Mechanics,
Journal Year:
2024,
Volume and Issue:
18(1)
Published: Aug. 23, 2024
This
paper
investigates
the
application
of
three
nature-inspired
optimisation
algorithms
–
SHO,
MFO,
and
GOA
combined
with
four
machine
learning
methods
Gaussian
Processes,
Linear
Regression,
MLP,
Random
Forest
to
enhance
carbon
dioxide
emission
prediction
in
OECD
Asia
Oceania
region.
The
study
uses
historical
emissions
data,
socioeconomic
indicators
such
as
GDP,
population
density,
energy
consumption,
urbanisation
rates,
environmental
temperature,
precipitation,
forest
cover.
Through
comprehensive
experimentation,
evaluates
performance
each
combination,
revealing
varying
effectiveness
levels.
MFO-MLP
combination
achieved
highest
accuracy
R2
values
0.9996
0.9995
RMSE
11.7065
12.8890
for
training
testing
datasets,
respectively.
GOA-MLP
configuration
0.9994
0.99934
15.01306
14.59333.
SHO-MLP
while
effective,
showed
lower
0.9915
0.9946
55.4516
41.575.
findings
suggest
hybrid
techniques
can
significantly
compared
conventional
methods.
research
provides
valuable
insights
policymakers
stakeholders,
indicating
that
optimised
models
support
more
informed
effective
policy-making
sustainability
efforts
Future
should
explore
additional
ensemble
improve
robustness
accuracy.
These
offer
a
robust
tool
forecast
accurately,
aiding
developing
targeted
strategies
reduce
footprints
achieve
climate
goals.
Transactions in GIS,
Journal Year:
2024,
Volume and Issue:
28(7), P. 2526 - 2544
Published: Sept. 22, 2024
ABSTRACT
In
this
era
of
rapid
development,
environmental
quality
is
an
essential
aspect
sustainable
development.
A
healthy
urban
environment
supports,
regulates,
and
provides
livable
conditions.
areas,
considerably
affected
by
socioeconomic
factors
such
as
population
expansion
economic
For
decision‐making,
it
also
significant
for
stakeholders
policymakers
to
understand
the
impact
on
quality.
While
previous
studies
have
examined
quality,
they
often
focused
single
cities
or
limited
parameters.
This
research
addresses
these
limitations
conducting
a
comparative
analysis
two
major
Asian
with
similar
demographic
features,
utilizing
comprehensive
set
variables.
Our
innovative
approach
combines
open‐source
datasets
advanced
remote
sensing
techniques
provide
more
holistic
assessment
over
decades.
We
analyzed
last
decades
selected
parameters:
surface
greenness,
moisture,
land
temperature.
Lahore
(Pakistan)
Wuhan
(China)
were
having
approximately
same
features.
Correlation
matrix
has
been
used
assess
relationship
between
variables
social‐economic
variables:
carbon
emission.
coefficient
indicated
that
correlates
negatively
greenness
moisture
both
(−0.67
−0.71)
District
(−0.5
−0.75),
respectively,
while
had
positive
relation
temperature:
0.65
0.57
District,
respectively.
These
effects
are
prominent
within
10
km
distance
from
city
center,
where
substantial
observed
during
time
window.