Sustainability,
Год журнала:
2024,
Номер
16(19), С. 8672 - 8672
Опубликована: Окт. 8, 2024
This
paper
aims
to
clarify
the
intricate
relationships
between
technological
innovation,
transportation
industry
development,
and
CO2
emissions
facilitate
a
positive
synergy
among
technology,
economy,
climate,
advancing
fulfillment
of
‘double
carbon’
goal.
Utilizing
panel
data
from
30
provinces
in
China
2005
2020,
we
employ
vector
autoregressive
model
using
generalized
method
moments
empirically
examine
dynamic
interactive
effects
these
participants.
The
findings
reveal
that
significantly
promoted
inhibitory
impact
innovation
on
emissions.
However,
such
reductions
cannot
counterbalance
rise
industry.
Moreover,
its
varied
across
regions.
Specifically,
development
within
eastern
contributed
shift
local
carbon
emission
negative
under
influence
innovation.
In
northeast,
enhanced
effect
contrast,
western
region,
industrial
intensified
role
promoting
Furthermore,
this
work
found
notably
diminished
reduction
performance
part
northeastern
region.
These
further
revealed
complex
interplay
industry,
They
offer
insights
for
policymakers
tailor
region-specific
technologies
bolster
‘dual
goal
sustainable
strategies,
thereby
achieving
reduction.
Land Degradation and Development,
Год журнала:
2024,
Номер
unknown
Опубликована: Окт. 3, 2024
ABSTRACT
This
research
aims
to
identify
the
intricate
connections
arising
from
finance
and
governance
water,
food,
energy,
utilizing
data
2000
2021
for
eight
South
Asian
countries.
To
address
cross‐sectional
dependence
panel
heterogeneity,
this
study
applied
an
augmented
mean
group
(AMG)
approach
discover
long‐term
across
chosen
indicators.
The
estimators'
outcome
shows
interconnectedness
energy
(WFE)
resources,
showing
that
water
promotes
food
energy.
In
contrast,
fosters
production
reduces
availability.
Further,
positively
influences
(0.434%),
(0.044%),
consumption
(0.142%).
Likewise,
significantly
responds
WFE
consumption.
Our
results
highlighted
unilaterally
dynamics
while
bidirectional
causal
links
emerge
between
finance,
obtained
outcomes
are
re‐validated
with
feasible
generalized
least
square
(FGLS)
Driscoll
Kraay
(DK)
estimators.
Ultimately,
our
offers
valuable
insights
shaping
economic,
environmental,
security
policies
in
region
beyond.
International Journal of Research and Review,
Год журнала:
2024,
Номер
11(6), С. 479 - 493
Опубликована: Июнь 13, 2024
Green
economy,
as
an
economic
concept
that
prioritizes
a
sustainable
has
correlation
with
fundamentals.
economy
not
only
covers
aspects
of
growth,
but
also
places
the
importance
environmental
preservation
and
social
empowerment
main
focus.
These
principles
are
aim
research
to
form
strong
basis
for
building
model
provides
long-term
benefits
society
environment,
strengthens
overall
fundamentals
in
way
Indonesia.
VAR
(Vector
Autoregression)
context
econometric
analysis
is
statistical
method
used
relationship
between
several
time-series
variables
conducted.
shows
result
The
estimation
results
highlight
contribution
Economy
variable
Economic
Fundamentals.
GDP
mainly
influenced
by
Greenflation
Consumption,
indicating
significant
impact
inflation
green
consumption.
Credit
these
two
factors,
while
Consumption.
IRF
reveals
responses
change,
highlighting
response
stability
medium
long
term.
In
model,
growth
consumption
pillars,
driven
increased
Consumption
Credit.
confirm
adopting
environmentally
friendly
practices
driving
line
previous
findings
positive
technology
practices.
establishment
development
Model
on
fundamentals,
providing
innovative
policies.
FEVD
tests
helps
reveal
complex
interactions
variables,
valuable
insights
formulation
effective
Keywords:
Economy,
Fundamentals,
Sustainability,
Год журнала:
2024,
Номер
16(19), С. 8672 - 8672
Опубликована: Окт. 8, 2024
This
paper
aims
to
clarify
the
intricate
relationships
between
technological
innovation,
transportation
industry
development,
and
CO2
emissions
facilitate
a
positive
synergy
among
technology,
economy,
climate,
advancing
fulfillment
of
‘double
carbon’
goal.
Utilizing
panel
data
from
30
provinces
in
China
2005
2020,
we
employ
vector
autoregressive
model
using
generalized
method
moments
empirically
examine
dynamic
interactive
effects
these
participants.
The
findings
reveal
that
significantly
promoted
inhibitory
impact
innovation
on
emissions.
However,
such
reductions
cannot
counterbalance
rise
industry.
Moreover,
its
varied
across
regions.
Specifically,
development
within
eastern
contributed
shift
local
carbon
emission
negative
under
influence
innovation.
In
northeast,
enhanced
effect
contrast,
western
region,
industrial
intensified
role
promoting
Furthermore,
this
work
found
notably
diminished
reduction
performance
part
northeastern
region.
These
further
revealed
complex
interplay
industry,
They
offer
insights
for
policymakers
tailor
region-specific
technologies
bolster
‘dual
goal
sustainable
strategies,
thereby
achieving
reduction.
