Abstract
Agriculture
is
one
of
the
major
sources
global
emissions
that
cause
climate
change
while
agricultural
value
added
helps
to
boost
economy
in
developing
countries
like
China.
Therefore,
this
study
aims
investigate
long-
and
short-term
influences
added,
economic
growth
(GDP),
energy
use
on
carbon
dioxide
(CO
2
)
The
autoregressive
distributed
lag
(ARDL)
method
was
used
by
using
annual
time
series
data
from
1990
2021.
empirical
outcomes
revealed
a
1%
increase
would
cut
CO
1.37%
long-run
0.65%
short-run.
However,
found
both
GDP
consumption
have
positive
statistically
significant
effect
emissions.
Furthermore,
an
inverted
U-shaped
association
between
environmental
pollution
discovered
spotting
coefficient
negative
squared,
which
proved
validity
Kuznets
curve
(EKC)
hypothesis.
robustness
ARDL
verified
fully
modified
ordinary
least
squares
(FMOLS),
dynamic
(DOLS),
canonical
cointegration
regression
(CCR)
approaches.
This
offers
comprehensive
set
policy
recommendations
aimed
at
enhancing
These
suggestions
focus
promotion
climate-smart
agriculture,
integration
renewable
production,
adoption
advanced
technologies
within
systems.
Implementing
these
measures
contribute
achievement
China’s
goal
neutrality.
Graphical
Innovation and Green Development,
Год журнала:
2024,
Номер
3(3), С. 100144 - 100144
Опубликована: Март 25, 2024
Geothermal
energy
is
both
a
clean
and
sustainable
source
that
contributes
to
economic
growth
(GDP)
environmentally
friendly,
as
it
releases
much
less
harmful
greenhouse
gas
(GHG)
emissions
than
fossil
fuels.
This
study
presents
novel
perspective
by
examining
the
dynamic
impact
of
geothermal
on
GDP
GHG
in
developing
developed
countries
from
2000
2019.
By
employing
Autoregressive
Distributed
Lag
(ARDL)
estimations,
our
demonstrates
negative
short-run
but
also
proves
be
positive
contributor
long-run
GDP,
particularly
countries.
Additionally,
unveils
noteworthy
discovery
has
effect
levels
country
groups
over
long
run,
although
coefficient
lower
These
findings
are
robust
confirmed
through
Fully
Modified
Ordinary
Least
Squares
(FMOLS)
Dynamic
(DOLS)
techniques.
The
ARDL
justified
Dumitrescu
Hurlin
(D-H)
causality
model,
indicating
existence
unidirectional
energy.
Based
this
empirical
evidence,
we
suggest
policymakers
support
projects
streamlined
processes,
incentives,
ongoing
policy
reviews
for
environmental
sustainability
growth.
Innovation and Green Development,
Год журнала:
2024,
Номер
3(3), С. 100139 - 100139
Опубликована: Фев. 15, 2024
Global
climate
change
triggered
by
the
escalating
carbon
dioxide
(CO2)
emissions
resulting
from
heightened
economic
expansion
and
consumption
of
energy
represents
foremost
environmental
concern
in
contemporary
global
context.
China
is
accountable
for
nearly
27%
total
CO2
emissions,
making
it
largest
emitter
worldwide.
This
study
explores
consequences
outgrowth,
fossil
fuel,
renewable
utilization
on
China's
CO2.
The
utilized
an
autoregressive
distributed
lag
(ARDL)
model
to
analyze
annual
data
1965
2022.
ARDL
bounds
test
results
indicate
presence
long-term
cointegration
among
variables.
empirical
specify
that
a
1%
growth
fuels
economy
leads
4.97%
0.58%
emissions.
In
short
term,
these
increases
amount
2.42%
1.21%,
respectively.
Conversely,
enhancement
could
result
reduction
1.39%,
whereas
would
be
0.50%.
proposes
policy
suggestions
attainment
sustainable
development
neutrality.
Innovation and Green Development,
Год журнала:
2024,
Номер
3(3), С. 100134 - 100134
Опубликована: Янв. 22, 2024
The
COP26
Glasgow
conference
stressed
the
importance
of
all
nations
committing
to
more
ambitious
targets
for
reducing
emissions
keep
global
temperatures
from
rising
than
1.5
°C
above
pre-industrial
levels.
This
is
crucial
since
any
temperature
greater
that
will
have
grave
and
irreversible
climatic
repercussions.
research,
utilizing
data
Ghana
1980
2018,
investigates
role
green
innovation,
energy
consumption,
human
capital
in
mitigating
carbon
dioxide
(CO2)
achieve
neutrality
within
environmental
Kuznets
curve
(EKC)
framework
while
using
natural
resources
industrialization
as
additional
variables
study
model.
Current
econometric
techniques
are
employed
accurate
reliable
analyses,
findings
reveal
stationary
co-integrated
long
run.
novel
quantile-on-quantile
regression
adopted,
empirical
discoveries
mitigate
CO2
emissions.
However,
indicate
escalate
country.
also
validate
N-shape
EKC
hypothesis
between
economic
growth
Ghana.
Policy
recommendations
offered
based
on
these
insights.
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,
Год журнала:
2024,
Номер
3(1), С. 1 - 24
Опубликована: Янв. 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.
Sustainable Development,
Год журнала:
2023,
Номер
31(5), С. 3692 - 3708
Опубликована: Июнь 3, 2023
Abstract
This
research
examines
a
panel
of
121
economies
worldwide
over
the
period
1980–2020
for
impact
political
competition
on
green
innovation.
We
find
that
an
increase
in
intensity
has
significantly
negative
innovation
and
this
remains
significant
long
term,
especially
non‐OECD
countries
middle
(low)
income
countries,
whereas
sub‐indicators
indicate
level
institutionalization
participation
degree
government
restrictions
have
different
impacts
The
findings
also
reveal
lower
risk
higher
levels
globalization
positively
moderate
adverse
effects
party
are
exacerbated
when
left‐wing
parties
power.
study
offers
new
insight
into
sustainable
development
based
examining
relationship
between
Abstract
Uruguay
has
set
a
target
of
becoming
carbon
neutral
by
the
year
2030,
and
this
study
looks
into
role
that
economic
progress,
renewable
energy
utilization,
technological
innovations,
forest
extent
could
play
in
reaching
goal.
The
Dynamic
Ordinary
Least
Squares
(DOLS)
technique
was
applied
to
examine
time
series
data
from
1990
2021.
According
outcomes
DOLS
estimation,
one-percentage-point
boost
growth
is
associated
with
1.16%
increase
CO
2
emissions.
However,
increasing
use
1%
related
reduction
emissions
0.73
percent
over
long
run,
as
indicated
coefficient
being
negative
statistically
significant.
calculated
long-run
innovations
significant,
suggesting
innovation
causes
0.11%
cut
area
notably
which
means
expanding
lessens
0.56%.
empirical
results
show
Uruguay's
economy
grows,
so
do
its
emissions,
but
country
may
get
closer
goal
neutrality
through
growing
energy,
innovation,
sustainable
management.
robustness
verified
utilizing
fully
modified
least
squares
(FMOLS)
canonical
cointegrating
regression
(CCR)
techniques.
In
order
for
reach
article
offers
policy
ideas
centered
on
low-carbon
economy,
promoting
financing
Graphical
Journal of Environmental Science and Economics,
Год журнала:
2023,
Номер
2(3), С. 1 - 18
Опубликована: Июль 31, 2023
Forests
have
the
most
biodiversity
and
provide
vital
ecosystem
services.
They
offer
numerous
forest-related
services,
some
of
which
can
be
commercialized.
This
improves
social,
cultural,
health,
scientific
life.
Nonmarketable
intangible
services
are
discounted
because
people
think
they're
endless
free.
Humans
changed
natural
social
worlds
through
using
resources
improving
well-being.
Public
private
decision-makers
often
compete
over
capital.
The
loss
biodiversity,
climate
change,
global
warming
interconnected
with
development
ensuring
an
acceptable
level
well-being
for
majority
humanity,
making
it
difficult
a
single,
individual
approach
to
estimating
value
these
goods
generate
support
decisions
policies
in
complex
areas.
complexity
products
requires
integrated
assessment
cutting-edge
technologies
approaches
pluralist
framework
heterogeneous
values.
evaluation
should
encompass
costs
benefits
several
commodity
service
applications.
These
usage'
effects
on
economic,
cultural
advancement
also
crucial.
extensive
thorough
enthronization
ecosystems
affect
amount
quality
services;
thus,
is
quantify
complicated
inverse
effect
from
civilization
nature.
Studies
show
that
incorporating
sustainability
sciences
into
integrative
may
environmental
policy
future.
Energy Reports,
Год журнала:
2023,
Номер
10, С. 4318 - 4331
Опубликована: Ноя. 1, 2023
This
study
analyzes
the
impact
of
economic
expansion,
fossil
fuel
consumption,
renewable
energy
adoption,
and
health
expenditure
on
carbon
dioxide
(CO2)
emissions
in
Malaysia
from
1990
to
2021.
The
autoregressive
distributed
lag
(ARDL)
method
is
used
examine
short
long-term
consequences.
ARDL
bounds
test
revealed
evidence
cointegration
among
variables
long
run
which
verified
by
Johansen
Engle-Granger
test.
empirical
results
suggest
that
increased
expansion
usage
are
associated
with
higher
CO2
emissions.
In
contrast,
use
linked
lower
term.
Toda-Yamamoto
causality
also
employed
investigate
causal
relationships
between
variables.
recommends
Malaysian
government
invest
green
technology
promote
policies
encourage
sustainable
practices.
A
growth
approach
can
ensure
growth,
mitigate
environmental
challenges,
achieve
development
goals.
Health
initiatives
should
be
prioritized
while
mitigating
damage.
reduce
country's
reliance
fuels,
create
new
employment
opportunities,
contribute
overall
well-being
population.
conclusion,
Malaysia's
has
led
an
increase
demand
However,
adopting
a
investing
energy,
practices,
pave
way
for
prosperous
future.