Sustainable Development,
Год журнала:
2023,
Номер
32(1), С. 959 - 978
Опубликована: Авг. 8, 2023
Abstract
Due
to
substantial
development
in
emerging
economies
over
the
last
three
decades,
climate
complexities
are
increasing
which
have
posed
serious
threats
environmental
quality
and
sustainability.
To
this
end,
eco‐innovation,
green
trade
openness
(GTO),
carbon
price
been
recognized
as
effective
tools
for
mitigation
promotion
of
growth
(GG)
core
COP
26,
Sustainable
Development
Goals
2030,
Carbon
Neutrality
by
2060.
Considering
this,
aim
study
is
investigate
influence
GTO,
on
GG
low‐carbon
emissions
period
1996–2021.
The
current
provides
a
standard
Solow
model
introducing
new
index
using
entropy
weight
method.
This
incorporates
30
indicators
across
five
dimensions
emphasizes
essential
roles
investigated
factor.
Additionally,
GTO
utilizing
an
extensive
trading
basket
255
commodities.
cross‐sectional
dependency,
slope
heterogeneity
models,
used
dynamic
heterogeneous
panel
data
estimation
techniques
that
is,
based
augmented
nonlinear
autoregressive
distributed
lag,
mean
group
probe
asymmetric
effects.
outcomes
from
empirical
analysis
reveal
positive
shocks
innovation,
price,
energy
mitigate
promote
economic
while
negative
these
variables
cause
degradation
reduce
economies.
Finally,
policy
insight,
suggests
makers
should
invigorate
stimulate
innovation
energy,
implement
mechanisms,
establish
balance
between
protection
growth.
Sustainable Development,
Год журнала:
2023,
Номер
32(4), С. 3004 - 3020
Опубликована: Ноя. 16, 2023
Abstract
Environmental
sustainability
is
increasingly
being
prioritized
by
governments
around
the
world,
particularly
in
emerging
economies.
This
study
examined
role
of
green
finance
and
technological
innovation
environmental
using
“load
capacity
factor”,
also
takes
into
account
natural
resource
depletion
forest
cover.
used
annual
data
from
2000
to
2018
for
economies:
Brazil,
China,
India,
Indonesia,
Turkey
Mexico.
Methods
analysis
included
cross‐section
augmented
autoregressive
distributed
lags
(CS‐ARDL)
model,
along
with
validation
common
correlated
mean
group
(CCEMG)
(AMG).
The
results
show
that
finance,
forested
areas
consistently
have
a
positive
impact
on
sustainability,
while
has
negative
impact.
findings
CS‐ARDL
are
consistent
those
CCEMG
AMG.
makes
recommendations
economies
need
prioritize
REDD+
(Reducing
Emissions
Deforestation
Forest
Degradation)
initiatives
implement
decoupling
policies,
addition
technology
achieve
sustainability.