Journal of Technology Innovations and Energy,
Journal Year:
2022,
Volume and Issue:
1(4), P. 25 - 36
Published: Dec. 20, 2022
Although
the
effects
on
environmental
quality
have
not
yet
been
extensively
studied,
some
studies
demonstrate
that
renewable
energy,
remittances,
and
technical
innovation
contribute
to
a
country's
socioeconomic
development.
In
light
of
this,
current
study
utilizes
annual
data
from
1990
2020
evaluate
impact
carbon
dioxide
(CO2)
emissions
in
China.
By
using
autoregressive
distributed
lag
(ARDL)
bounds
testing,
research
was
able
reveal
persistent
associations
between
CO2
regressors.
Long-
short-run
ARDL
results
also
demonstrated
rise
alongside
economic
development,
but
advancement
help
lower
The
reliability
these
determined
fully
modified
ordinary
least
squares
(FMOLS),
dynamic
square
(DOLS),
canonical
cointegrating
regression
(CCR).
significant
determining,
several
policy
suggestions
are
proposed.
Carbon Research,
Journal Year:
2024,
Volume and Issue:
3(1)
Published: Feb. 1, 2024
Abstract
Tourism
serves
as
a
crucial
means
of
funding
national
development
and
ensuring
the
sustainability
local
livelihoods
in
growing
countries
such
Brazil.
Nevertheless,
accelerated
growth
tourism
various
nations
might
lead
to
significant
environmental
consequences
due
heightened
energy
consumption.
This
surge
usage
contributes
exacerbation
global
warming
through
amplified
release
carbon
dioxide
(CO
2
).
In
light
increasingly
evident
impacts
climate
change
on
natural
environment,
multitude
endeavors
have
been
undertaken
with
aim
attaining
ecological
sustainability.
The
objective
this
study
is
examine
dynamic
effects
economic
growth,
consumption,
emissions
Brazil
by
analyzing
time
series
data
spanning
from
1990
2019.
stationarity
was
assessed
application
unit
root
tests,
while
an
autoregressive
distributed
lag
(ARDL)
approach
employed
analyze
relationship
between
components,
accounting
for
both
long-term
short-term
dynamics.
empirical
results
indicate
that
1%
rise
tourist
arrivals
leads
deterioration
causing
respective
increase
CO
1.37%,
1.06%,
0.57%
near
term,
0.72%,
0.62%,
0.16%
long
term.
article
presents
policy
ideas
aimed
at
achieving
neutrality
increasing
utilization
renewable
sources,
simultaneously
fostering
sustainable
enhance
country’s
economy.
Highlights
•This
investigated
tourism-economy-energy-environment
nexus
•The
econometric
analysis
revealed
tourism,
use,
emissions.
offers
suggestions
achieve
neutrality.
Graphical
Global Sustainability Research,
Journal Year:
2024,
Volume and Issue:
3(1), P. 1 - 24
Published: Jan. 7, 2024
The
aim
of
this
study
was
to
consolidate
current
information
on
the
utilization
Geographic
Information
Systems
(GIS)
and
Remote
Sensing
(RS)
in
agricultural
sector,
with
a
focus
their
role
promoting
evidence-based
policies
practices
enhance
sustainability.
Additionally,
review
sought
identify
challenges
hindering
widespread
adoption
GIS
RS
applications,
particularly
low-
middle-income
nations.
This
employed
methodology
systematic
literature
review.
findings
indicate
that
technology
sector
has
experienced
notable
increase
over
past
few
years.
primary
areas
use
for
have
been
identified
encompass
crop
yield
estimation,
assessment
soil
fertility,
monitoring
cropping
patterns,
evaluation
drought
conditions,
detection
management
pests
diseases,
implementation
precision
agriculture
techniques,
fertilizer
weed
control.
possesses
capacity
augment
sustainability
by
incorporating
spatial
aspect
into
policies.
Furthermore,
potential
facilitating
decision
making
is
expanding.
Given
escalating
peril
climate
change
food
security,
there
exists
heightened
imperative
include
policy
formulation
decision-making
processes
practices.
might
be
beneficial
informing
development
effectively
integrate
sustainable
climate-smart
agriculture.
Journal of Environmental Science and Economics,
Journal Year:
2022,
Volume and Issue:
1(4), P. 36 - 50
Published: Dec. 19, 2022
Concerns
about
climate
change,
emission
reduction,
and
environmental
sustainability
have
become
crucial
in
accomplishing
long-term
development
goals.
The
present
study
explored
the
dynamic
effects
of
financial
development,
renewable
energy
utilization,
technological
innovation,
economic
growth,
urbanization
on
carbon
dioxide
(CO2)
emissions
India.
This
investigation
quantifies
short-
long-run
dynamics
using
time
series
data
from
1990
to
2020
an
Autoregressive
Distributed
Lag
(ARDL)
model.
outcomes
ARDL
analysis
revealed
a
positive
significant
effect
CO2
In
contrast,
both
coefficients
for
utilization
innovation
are
negative
statistically
significant,
suggesting
that
expanding
these
variables
will
lead
lower
emissions.
findings
were
validated
by
employing
Fully
Modified
Ordinary
Least
Squares
(FMOLS),
Dynamic
(DOLS),
Canonical
Cointegration
Regression
(CCR)
methods.
research
provides
novel
add
current
literature
may
be
special
relevance
policymakers
country
because
role
system
plays
concerns.
Carbon Research,
Journal Year:
2022,
Volume and Issue:
1(1)
Published: Dec. 21, 2022
Abstract
Bangladesh
is
facing
a
conundrum
in
figuring
out
how
to
improve
public
health
while
simultaneously
reducing
the
environmental
pollution.
To
alleviate
pressure
from
high
healthcare
expenditure
Bangladesh,
management
efforts
quality
of
environment
need
be
developed
with
help
understanding
nexus
between
carbon
emission,
energy
use,
and
expenditure.
In
society
that
experiencing
quick
difficult
problems
due
rising
demand,
current
study
focused
on
evaluating
effects
dioxide
emissions,
fossil
fuel
renewable
use
Bangladesh.
Time
series
data
were
analyzed
year
2000
2020
using
Dynamic
Ordinary
Least
Squares
technique.
The
findings
revealed
1%
increase
emissions
will
by
0.95%
2.67%,
respectively.
Furthermore,
may
result
reduced
1.44%
long
run.
This
article
provides
policy
recommendations
ensure
sustainability
facilities
lowering
emission
research
would
helpful
for
designing
proactive
scheme
counteract
emerging
consequences
pollution
Graphical
Journal of Technology Innovations and Energy,
Journal Year:
2022,
Volume and Issue:
1(4), P. 25 - 36
Published: Dec. 20, 2022
Although
the
effects
on
environmental
quality
have
not
yet
been
extensively
studied,
some
studies
demonstrate
that
renewable
energy,
remittances,
and
technical
innovation
contribute
to
a
country's
socioeconomic
development.
In
light
of
this,
current
study
utilizes
annual
data
from
1990
2020
evaluate
impact
carbon
dioxide
(CO2)
emissions
in
China.
By
using
autoregressive
distributed
lag
(ARDL)
bounds
testing,
research
was
able
reveal
persistent
associations
between
CO2
regressors.
Long-
short-run
ARDL
results
also
demonstrated
rise
alongside
economic
development,
but
advancement
help
lower
The
reliability
these
determined
fully
modified
ordinary
least
squares
(FMOLS),
dynamic
square
(DOLS),
canonical
cointegrating
regression
(CCR).
significant
determining,
several
policy
suggestions
are
proposed.
