This
study
determined
the
impacts
of
non-renewable
and
renewable
energy
consumption
on
natural
resource
productivity
alongside
human
capital
technology
transfer
roles
for
40
selected
developing
economies.
The
dataset
spanned
between
1991
2021.
applied
novel
MMQREG
procedure
analyses
while
ensuring
inferential
robustness
through
FMOLS,
DOLS),
D-K
methods.
Empirically,
revealed
that
an
increase
in
brown
exhausted
from
lower
to
upper
quantiles.
In
contrast,
green
utilisation
enhanced
higher
Also,
adversely
affected
both
means,
positively
impacted
it
Likewise,
inferences
DOLS,
techniques
similar
findings.
However,
despite
being
dominant
means
these
economies,
size
its
adverse
impact
falls
short
increasing
effect
across
all
magnitude
negative
is
marginally
more
substantial
with
energy.
enhancing
slightly
Research Square (Research Square),
Journal Year:
2024,
Volume and Issue:
unknown
Published: July 29, 2024
Abstract
A
globalisation-induced
environmental
consequence
can
either
improve
or
degenerate
the
quality
of
life
(QoL),
depending
on
its
interference
in
balance
between
demand
and
supply
ecological
resources,
food
security.
Hence,
this
study
examined
burdens
globalisation
QoL
for
38
African
countries
1990
2020.
Empirical
inferences
were
robustly
deduced
through
advanced
estimation
methodologies.
They
include
Driscoll-Kraay
(D-K),
augmented
mean
group
(AMG)
panel
dynamic
ordinary
least
squares
(PDOLS)
techniques.
The
further
applied
method
moments
quantile
regression
(MMQREG)
approach,
since
economic
progressions
each
selected
country
are
heterogeneous
despite
their
classification
as
developing
nations.
Notable
findings
from
these
methodologies
revealed
burden
to
be
diminishing
QoL.
In
contrast,
security
effects
liberalisation
enhancing.
Specifically,
MMQREG
procedure
that
adverse
acceleration
side
grows
larger
magnitude
when
compared
positive
sides
advances.
implication
is
level
QoL,
tends
worsen
overexploitation
retardation
regenerative
process
natural
exacerbation
insecurity
countries.
Applicable
policy
measures
proposed
by
study.
Sustainable Development,
Journal Year:
2024,
Volume and Issue:
unknown
Published: Nov. 6, 2024
Abstract
This
research
contributes
to
the
ongoing
discourse
surrounding
sustainable
industrialization
of
African
nations,
a
pivotal
aspect
emphasized
by
United
Nations
within
Sustainable
Development
Goals.
Drawing
inspiration
from
burgeoning
digitalization
trends
across
Africa,
this
study
examines
role
in
mediating
environmental
repercussions
45
countries
spanning
years
2000–2022.
The
assessment
sustainability
is
gauged
through
ecological
footprint
and
biocapacity.
Employing
Environmental
Kuznets
Curve,
Stochastic
Impacts
Regression
on
Population,
Affluence,
Technology
framework,
empirical
analyses
leverage
Generalized
Method
Moments
mediation
analysis
using
structural
equation
modeling
unveil
insightful
findings.
findings
highlight
detrimental
impact
health,
evidenced
its
correlation
with
an
increase
decrease
Conversely,
emerges
as
positive
influence
well‐being.
These
remain
consistent
diverse
categorizations
digitalization,
balance.
Further
examination
their
interplay
reveals
discernible
favorable
sustainability,
suggesting
that
mitigates
approximately
4%
6%
overall
biocapacity,
respectively.
Additionally,
our
lends
credence
Curve
hypothesis.
As
result,
it
imperative
for
governments
incentivize
industries
adopt
eco‐friendly
practices
technologies
order
mitigate
footprint.
At
same
time,
policies
promote
should
be
encouraged
further
enhance
quality.
This
study
determined
the
impacts
of
non-renewable
and
renewable
energy
consumption
on
natural
resource
productivity
alongside
human
capital
technology
transfer
roles
for
40
selected
developing
economies.
The
relied
a
dataset
sourced
between
1991
2021.
applied
novel
method
moments
quantile
regression
(MMQREG)
procedure
analyses
while
ensuring
inferential
robustness
through
fully
modified
ordinary
least
squares
(FMOLS),
dynamic
OLS
(DOLS),
Driscoll-Kraay
(D-K)
methods.
Empirically,
revealed
that
an
increase
in
brown
exhausted
from
lower
to
upper
quantiles.
In
contrast,
green
utilisation
enhanced
higher
Also,
adversely
affected
both
means,
positively
impacted
it
Likewise,
inferences
DOLS,
FMOLS,
D-K
techniques
similar
findings.
However,
despite
being
dominant
means
these
economies,
size
its
adverse
impact
falls
short
increasing
effect
across
all
magnitude
negative
is
marginally
more
substantial
with
energy.
This
study
determined
the
impacts
of
non-renewable
and
renewable
energy
consumption
on
natural
resource
productivity
alongside
human
capital
technology
transfer
roles
for
40
selected
developing
economies.
The
dataset
spanned
between
1991
2021.
applied
novel
MMQREG
procedure
analyses
while
ensuring
inferential
robustness
through
FMOLS,
DOLS),
D-K
methods.
Empirically,
revealed
that
an
increase
in
brown
exhausted
from
lower
to
upper
quantiles.
In
contrast,
green
utilisation
enhanced
higher
Also,
adversely
affected
both
means,
positively
impacted
it
Likewise,
inferences
DOLS,
techniques
similar
findings.
However,
despite
being
dominant
means
these
economies,
size
its
adverse
impact
falls
short
increasing
effect
across
all
magnitude
negative
is
marginally
more
substantial
with
energy.
enhancing
slightly
