Tourism Planning & Development,
Год журнала:
2024,
Номер
unknown, С. 1 - 29
Опубликована: Май 2, 2024
The
study
examines
the
antecedent
of
sustainable
tourism
development
in
Sundarbans,
Bangladesh
context,
using
influence
political
instability
as
a
moderator
and
destination
resilience
mediator.
Social
exchange
theory
complexity
are
underpinning
theories.
follows
positivism
philosophy,
quantitative
method,
deductive
approach.
SmartPLS
(4.0)
analysed
339
responses
structural
equation
modelling
(SEM).
Findings
evidenced
that
infrastructure
greatly
affected
but
had
negligible
effect
on
development.
In
contrast,
place
image
stakeholders'
integration
development,
did
not
provide
evidence
moderating
effect.
Besides
extending
applicability
abovementioned
theories,
study's
empirical
findings
will
enhance
consciousness
proactivity
among
relevant
stakeholders,
tour
operators,
tourists,
residents,
businesses,
policymakers
government
regarding
achieving
goals
(SDGs)
through
industry.
Energies,
Год журнала:
2023,
Номер
16(8), С. 3557 - 3557
Опубликована: Апрель 20, 2023
Over
the
last
few
decades,
climate
change
and
global
warming
have
intensified
a
serious
threat
that
may
deteriorate
sustainable
development.
The
factors
significantly
contributing
to
are
greenhouse
gases,
mainly
carbon
dioxide
emissions.
Therefore,
it
is
crucial
consider
variables
affecting
emissions
considerably.
This
study
examines
symmetric
(linear)
asymmetric
(non-linear)
effects
of
green
technology
innovation
(GTI),
economic
policy
uncertainty
(EPU)
along
with
foreign
direct
investment
(FDI),
development
(GDP)
on
(CO2)
by
utilizing
yearly
time
series
data
between
1970–2018
in
Italy.
We
employed
linear
non-linear
autoregressive
distributed
lag
(ARDL)
approaches
examine
short-
long-run
estimates.
results
show
GTI
EPU
mitigate
environmental
degradation
long
run
intensify
short
run,
whereas
FDI
increases
issues
over
run.
Nevertheless,
outcomes
demonstrate
positive
shocks
lessen
CO2
emissions,
negative
escalate
Furthermore,
enhance
degradation.
Based
these
findings,
important
implications
for
policymakers
make
strong
policies
achieve
neutrality
targets
growth
proposed.
Finally,
because
changes
GTI,
EPU,
different
consequences
should
asymmetry
across
when
assessing
their
impact.
Energy and Climate Change,
Год журнала:
2024,
Номер
5, С. 100122 - 100122
Опубликована: Янв. 2, 2024
This
study
assesses
the
role
of
geopolitical
risk
and
uncertainty
in
degradation
environment
by
forming
functions
for
ecological
footprint,
CO2
emissions,
load
capacity
factor
period
1990-2019
India.
Besides,
specified
function
endogenizes
economic
growth,
renewable
energy
consumption,
natural
resource
rent
as
additional
covariates.
The
use
autoregressive
distributed
lag
model
(ARDL)
confirms
long-run
relationship
between
variables.
Further,
dynamic
simulations
(DYNARDL)
outcomes
show
that
improves
quality
reducing
footprint
emissions.
However,
it
degrades
factor.
Furthermore,
environmental
emissions
but
reduced
due
to
implies
Given
these
findings,
proposes
different
conservation
policies.