Atmospheric Pollution Research,
Journal Year:
2023,
Volume and Issue:
14(9), P. 101846 - 101846
Published: July 17, 2023
The
current
study
establishes
theoretical
and
empirical
linkages
among
urbanization,
economic
growth,
land
use,
greenhouse
gas
(GHG)
emissions.
prime
objective
of
this
article
is
to
draw
novel
conclusions
policies
for
the
different
income
levels
countries
regarding
urbanization
agriculture
sector
on
environmental
pollution.
Employing
panel
data
50
period
1990
2019,
uses
lasso
regression
non-parametric
methods
investigate
impacts
use
(arable,
permanent
pastures,
cropland),
progress
pollution
levels.
After
estimating
a
Lasso
find
best
auto-regressive
predictive
specification,
we
used
an
partially
linear
where
each
drivers'
effects
was
modelled
non-parametrically.
elasticity
effect
urban
population
emissions
significantly
positive
sizable.
In
addition,
distribution
shows
non-negligible
share
observations
with
higher
than
one.
Urban
growth
serious
threat
climate
change,
as
it
seems
increase
sharply
CO2
(although
pace
smaller
one).
GDP
negative,
which
implies
that
scale
production,
by
triggering
efficiency,
can
have
reduction.
results
argue
agglomeration
negative
put
in
place
larger
partly
explain
finding.
Overall,
argues
activities
lead
GHG
emissions,
whereas
also
discusses
implications
role
agricultural
apropos
Sustainable
Development
Goals
(SDGs).
findings
allow
us
guidelines
line
SDGs.
reforms
might
include
irrigation
farming
techniques
such
spin
farming,
solar
tube
wells,
tunnel
technology
agreements,
plant
double
helix,
etc.
Processes,
Journal Year:
2023,
Volume and Issue:
11(9), P. 2566 - 2566
Published: Aug. 27, 2023
International
interest
in
using
waste-to-energy
(WtE)
technology
toward
a
circular
economy
(CE)
is
developing,
spurred
by
environmental
challenges
such
as
inefficient
solid
waste
dumping,
pollution,
and
resource
depletion.
Incineration,
pyrolysis,
gasification,
landfill,
anaerobic
digestion
are
standard
WtE
technologies.
Although
these
methods
have
been
used
for
many
decades,
all
countries
try
to
implement
the
best
plans
based
on
their
technologies
capacities.
Therefore,
an
up-to-date
comprehensive
study
needed
evaluate
existing
barriers
draw
logical
roadmap
CE.
this
review
addresses
recent
policies
adopted
developed
developing
Based
findings,
most
seek
cost-effective
environmentally
sustainable
pathways
CE;
meanwhile,
international
collaboration
governmental
support
overcome
find
economically
viable
plan
both
future.
Engineering Science & Technology Journal,
Journal Year:
2024,
Volume and Issue:
5(3), P. 794 - 802
Published: March 17, 2024
The
integration
of
Artificial
Intelligence
(AI)
technologies
holds
immense
potential
for
revolutionizing
waste
management
systems
in
underserved
communities
across
the
United
States.
This
concept
paper
explores
feasibility,
benefits,
challenges,
and
implications
implementing
AI-driven
these
communities.
By
leveraging
AI
capabilities
such
as
predictive
analytics,
optimization
algorithms,
IoT
sensors,
innovative
solutions
can
be
developed
to
enhance
collection,
recycling
efficiency,
environmental
sustainability.
However,
successful
implementation
requires
careful
consideration
socioeconomic
factors,
community
engagement,
privacy
concerns,
infrastructure
limitations.
aims
provide
a
comprehensive
overview
opportunities
considerations
associated
with
deploying
communities,
ultimately
striving
promote
equitable
access
efficient
sustainable
solutions.
provides
framework
USA.
It
examines
various
aspects
including
considerations,
requirements,
policy
frameworks,
financing
options,
sustainability
measures.
Through
planning,
collaboration,
innovation,
harnessed
address
unique
challenges
faced
by
leading
more
efficient,
equitable,
practices.
Keywords:
AI,
Community,
Waste,
Sustainability,
Journal Year:
2021,
Volume and Issue:
13(3), P. 1285 - 1285
Published: Jan. 26, 2021
This
paper
examines
the
relationship
between
renewable
energy
consumption
and
economic
growth
in
Brazil,
Covid-19
pandemic.
Using
an
Artificial
Neural
Networks
(ANNs)
experiment
Machine
Learning,
we
tried
to
verify
if
a
more
intensive
use
of
could
generate
positive
GDP
acceleration
Brazil.
offset
harmful
effects
global
Empirical
findings
show
that
ever-greater
energies
may
sustain
process.
In
fact,
through
model
ANNs,
highlighted
how
increasing
triggers
compared
other
variables
considered
model.
Journal of Environmental Management,
Journal Year:
2021,
Volume and Issue:
286, P. 112241 - 112241
Published: March 2, 2021
The
aim
of
this
paper
is
to
assess
the
relationship
between
COVID-19-related
deaths,
economic
growth,
PM10,
PM2.5,
and
NO2
concentrations
in
New
York
state
using
city-level
daily
data
through
two
Machine
Learning
experiments.
PM2.5
are
most
significant
pollutant
agents
responsible
for
facilitating
COVID-19
attributed
death
rates.
Besides,
we
found
only
six
out
many
tested
causal
inferences
be
true
within
AUPRC
analysis.
In
line
with
findings,
a
unidirectional
effect
from
Deaths,
growth
both
NO2.
Corroborating
first
experiment,
results
confirmed
capability
polluting
variables
(PM2.5
Deaths)
accelerate
deaths.
contrast,
evidence
that
unsustainable
predicts
dynamics
air
pollutants.
This
shows
how
could
increase
environmental
pollution
by
escalating
emissions
NO2)
state.
Sustainability,
Journal Year:
2021,
Volume and Issue:
13(8), P. 4418 - 4418
Published: April 15, 2021
The
main
goal
of
this
study
is
to
evaluate
the
impact
restrictive
measures
introduced
in
connection
with
COVID-19
on
consumption
renewable
energy
markets.
will
be
based
hypothesis
that
similar
changes
human
behavior
can
expected
future
further
spread
and/or
introduction
additional
quarantine
around
world.
analysis
also
yielded
results.
strongest
reductions
generation
occurred
countries
a
high
percentage
(more
than
80%)
urban
population
(Brazil,
USA,
United
Kingdom
and
Germany).
This
uses
two
models
created
Keras
Long
Short-Term
Memory
(Keras
LSTM)
Model,
76
10
parameters
are
involved.
article
suggests
various
strategies
reduced
sustainable
demand
for
led
drop
economic
growth,
slowing
growth
infections
2020.
It
unknown
what
extent
observed
slowdown
from
March
2020
September
due
policy’s
not
interaction
between
virus
external
environment.
All
producers
decreased
volume
market
supply
(except
China).
Journal of Cleaner Production,
Journal Year:
2021,
Volume and Issue:
322, P. 129050 - 129050
Published: Sept. 20, 2021
While
the
deployment
of
technological
innovation
was
able
to
avert
a
devastating
global
supply
chain
fallout
arising
from
impact
ravaging
COronaVIrus
Disease
19
(COVID-19)
pandemic,
little
is
known
about
potential
environmental
cost
such
achievement.
The
aim
this
paper
identify
determinants
logistics
performance
and
investigate
its
empirical
linkages
with
economic
indicators.
We
built
macro-level
dataset
for
top
25
ranked
countries
2007
2018,
conducting
set
panel
data
tests
on
cross-sectional
dependence,
stationarity
cointegration,
provide
preliminary
insights.
Empirical
estimates
Fully
Modified
Ordinary
Least
Squares
(FMOLS),
Generalized
Method
Moments
(GMM),
Quantile
Regression
(QR)
model
suggest
that
innovation,
Human
Development
Index
(HDI),
urbanization,
trade
openness
significantly
boost
logistic
performance,
whereas
employment
Gross
Fixed
Capital
Formation
(GFCF)
fail
respond
in
desirable
path.
In
turn,
an
increase
Logistic
Performance
(LPI)
found
worsen
growth.
Finally,
LPI
exhibits
large
positive
effect
carbon
emissions,
which
congruent
strand
literature
highlighting
modern
far
being
decarbonized.
Thus,
evidence
further
more
efforts
should
be
geared
attain
sustainable
logistics.
