Review of Development Economics,
Год журнала:
2024,
Номер
unknown
Опубликована: Сен. 18, 2024
Abstract
In
the
face
of
growing
sustainability
challenges,
this
study
examines
ecological
impacts
natural
wealth
(NR)
and
tech‐driven
industrial
diversification
(TID)
in
sub‐Saharan
Africa
(SSA).
It
employs
load
capacity
factor
(LCF),
utilizing
a
panel
dataset
spanning
from
1991
to
2020.
The
findings
reveal
that
renewable
(forest)
resources
exert
positive
significant
influence
on
LCF,
primarily
at
lower
quantiles.
When
resource
basket
is
adjusted
include
mineral
resources,
impact
turns
negative
across
all
quantiles,
with
statistical
significance
evident
upper
Further
modifications
basket,
including
energy
extraction
such
as
oil,
coal,
gas,
yield
statistically
LCF
lower,
median,
Additionally,
TID
has
Robustness
analysis
confirms
covariates
indeed
Granger‐cause
LCF.
This
finding
also
indicates
causal
equation
significantly
influenced
by
past
values
NR
TID.
Half‐Panel
Jackknife
estimator
reaffirms
that,
average,
effect
region.
These
suggest
enhancing
growth
through
renewables
medium‐
high‐tech
industries
part
broader
strategies
SSA
Frontiers in Environmental Science,
Год журнала:
2023,
Номер
11
Опубликована: Апрель 20, 2023
In
this
study,
we
examine
the
long-run
effect
of
environmental-related
technological
innovation,
institutional
quality,
trade
openness,
energy
consumption,
and
economic
growth
on
CO2
emissions
in
APEC
countries
from
2004
to
2018.
Firstly,
panel
unit
root
tests
were
used
explore
stationarity
each
data
series.
The
test
findings
showed
that
all
series
are
stationary
at
first
difference.
Second,
Westerlund
cointegration
was
deal
with
heterogeneity
cross-sectional
dependence.
Thirdly,
empirical
augmented
mean
group
(AMG)
common
correlated
effects
(CCEMG)
estimators
indicate
innovation
quality
destructively
affect
id="m2">CO2
emissions.
contrast,
positively
impact
id="m3">CO2
While
causality
analysis
refers
unidirectional
runs
consumption
id="m4">CO2
emission
bidirectional
relationships
between
GDP,
id="m5">CO2
emission.
Based
findings,
proposed
should
raise
investment
improve
environment
achieve
sustainable
development
targets.
Natural Resources Forum,
Год журнала:
2023,
Номер
48(2), С. 525 - 548
Опубликована: Сен. 3, 2023
Abstract
Several
developing
markets,
such
as
Brazil,
Russia,
India,
China,
and
South
Africa
(BRICS),
are
facing
challenges
in
attaining
the
targets
set
with
regard
to
Sustainable
Development
Goals
(SDGs).
While
previous
studies
have
extensively
examined
Environmental
Kuznets
Curve
BRICS
nations,
focusing
on
other
proxy
of
environmental
degradation
like
CO
2
emissions
ecological
footprint,
little
attention
has
been
given
Load
Capacity
(LCC)
hypothesis
specifically
relation
emerging
economies.
Consequently,
there
exists
a
gap
literature
regarding
validation
LCC
for
these
To
bridge
this
gap,
our
research
intends
assess
validity
context
countries.
Specifically,
we
investigate
impact
biomass
energy
social
globalization
load
capacity
factor
(a
quality)
countries
from
1990
2018,
while
considering
roles
economic
growth
natural
resources.
Additionally,
explore
development
an
SDG
framework
tailored
which
can
serve
blueprint
analyze
data,
employ
Method
Moments‐Quantile‐Regression
(MMQR)
approach
along
long‐run
estimators.
The
findings
MMQR
analysis
reveal
that
resources,
globalization,
gross
domestic
product
adverse
effects
quality,
exhibits
positive
influence
quality.
Furthermore,
validates
We
also
observe
evidence
causality
between
its
determinants.
Based
investigation,
recommend
transition
policies
hydrocarbon
sustainable
options
by
implementing
innovative
approaches
technology
enhance
conversion
efficiency.
Implementing
policy
changes
will
not
only
quality
but
align
targets.
