Sustainability,
Год журнала:
2022,
Номер
14(21), С. 14629 - 14629
Опубликована: Ноя. 7, 2022
Several
investigations
show
that
remittances,
renewable
energy,
and
innovation
promote
the
socioeconomic
advancement
of
a
nation.
Nevertheless,
impacts
remittances
energy
on
ecological
quality
are
yet
to
be
evaluated
thoroughly.
Therefore,
current
investigation
assesses
effects
CO2
emissions
while
taking
into
account
roles
technological
innovation,
globalization,
economic
growth.
Toward
this
end,
paper
depends
yearly
data
between
1990
2019.
The
study
employed
bounds
testing
its
results
disclosed
long-term
connections
regressors.
Moreover,
unlike
prior
studies
employ
time-domain
causality,
we
frequency
domain
which
considers
causality
at
different
frequencies.
Furthermore,
ARDL
long-
short-run
showed
growth
amplified
emissions,
green
globalization
lessened
emissions.
Lastly,
approach
revealed
growth,
could
predict
in
long-term.
These
findings’
sturdiness
was
established
utilizing
DOLS
FMOLS
regression.
policy
recommendations
suggested
light
these
ground-breaking
discoveries.
Applied Energy,
Год журнала:
2023,
Номер
342, С. 121138 - 121138
Опубликована: Апрель 28, 2023
This
study
analyzes
the
effect
of
renewable
energy
research
&
development
(RRD)
and
nuclear
(NRD)
expenditures
on
environmental
quality
by
considering
Germany's
goal
achieving
carbon
neutrality
until
2045.
Hence,
uses
various
indicators
(carbon
dioxide
(CO2)
emissions,
ecological
footprint-EF,
load
capacity
factor-LCF)
to
investigate
effects
RRD
NRD
controlling
also
a
gross
domestic
product
(GDP)
test
validity
Kuznets
curve
(EKC)
recently
proposed
(LCC)
hypotheses.
Also,
includes
yearly
data
from
1974
2018,
fractional
frequency
Fourier
autoregressive
distributive
lag
(FADL)
based
FMOLS
approach
as
main
model,
applies
FADL
DOLS
wavelet
causality
for
robustness.
The
empirical
results
reveal
that
(i)
explanatory
variables
have
cointegration
link
with
CO2
emissions
EF;
(ii)
EKC
hypothesis
is
valid
Germany,
while
LCC
invalid;
(iii)
are
effective
only
in
reducing
emissions;
(iv)
no
significant
EF.
Considering
results,
German
policymakers
could
utilize
more
effectively
efficiently
improve
reduce
In
this
way,
Germany
achieve
its
middle
century
benefiting
facilities.
Geoscience Frontiers,
Год журнала:
2022,
Номер
14(3), С. 101531 - 101531
Опубликована: Дек. 20, 2022
This
study
analyzes
the
impact
of
biomass
energy,
financial
development,
and
economic
growth
on
environmental
quality
using
novel
Fourier
autoregressive
distributed
lag
(ARDL)
approach
annual
data
for
period
1965–2018
in
United
States
(USA).
The
related
variables
load
capacity
factor
(LCF)
as
well
indicators
degradation
such
carbon
dioxide
emissions
ecological
footprint.
LCF
is
one
most
comprehensive
to
date,
encompassing
both
biocapacity
In
this
regard,
contributes
economics
literature
by
examining,
first
time,
energy
LCF.
results
cointegration
test
show
that
there
only
a
long-run
relationship
between
independent
variables.
According
ARDL
results,
improves
quality,
while
development
has
no
effect
Moreover,
increase
per
capita
income
reduces
Furthermore,
since
elasticity
larger
long
run
than
short-run,
Kuznets
curve
validated.
Therefore,
government
should
encourage
use
investment
form
energy.
Geological Journal,
Год журнала:
2022,
Номер
58(4), С. 1384 - 1400
Опубликована: Дек. 26, 2022
Challenges
brought
on
by
the
rapid
rate
of
economic
growth
include
depletion
natural
resources
(NAR)
and
environmental
deterioration.
Due
to
its
abundant
mineral
growth,
China
has
gained
attention
from
both
developing
developed
worlds.
Using
data
1970/Q1
2020/Q4,
this
paper
evaluates
time‐frequency
nexus
between
CO
2
emissions
resources,
coal
consumption,
growth.
The
study
employs
Wavelet
Local
Multiple
Correlation
(WLMC)
explore
nexus.
This
approach
enhances
capacity
comprehend
fundamental
relationships
these
indicators
at
different
frequencies.
To
best
investigator'
knowledge,
is
first
empirical
investigation
resource,
use,
in
China,
thus
filling
a
gap
literature.
Furthermore,
wavelet
coherence
employed
as
robustness
check.
WLMC
bivariate
cases
revealed
that
drive
positively
all
frequencies,
is,
short
long‐term,
leading
degradation.
results
support
outcomes
cases.
offers
significant
implications
for
policy
insights
are
supported
findings.
Geoscience Frontiers,
Год журнала:
2023,
Номер
15(1), С. 101693 - 101693
Опубликована: Авг. 16, 2023
Stimulating
renewable
energy
consumption
is
a
major
focus
of
the
Sustainable
Development
Goals
in
combating
climate
change
and
global
warming.
The
International
Energy
Agency
estimates
that
should
be
doubled
to
achieve
COP21
targets.
In
this
context,
question
whether
types
promote
improvement
ecological
quality
economic
growth.
Most
studies
have
investigated
influence
on
pollution
using
carbon
dioxide
emissions
or
footprint
indicators,
which
only
represent
caused
by
human
patterns,
these
indicators
neglect
supply
side.
Motivated
point,
study
uses
LCF
(Load
Capacity
Factor)
as
an
environmental
indicator
examines
causality
relationship
among
different
energy,
income,
USA,
while
also
incorporating
employment
capital
stock
into
analysis.
Through
Fourier
test
with
wavelet-decomposed
series,
explores
for
validity
energy-based
growth
hypothesis
answers
there
causal
effect
quality.
results
demonstrate
bidirectional
between
total
wood,
biomass,
well
LCF.
Sustainable Development,
Год журнала:
2022,
Номер
31(2), С. 825 - 839
Опубликована: Окт. 7, 2022
Abstract
Regulations
and
taxes
are
considered
essential
drivers
for
climate
change
policies
improving
ecological
quality.
The
prior
research
primarily
relies
on
regulatory
or
non‐economic
measures
to
ensure
sustainability,
while
the
role
of
market‐based
economic
in
sustainability
is
yet
be
investigated.
Hence,
realizing
need
policy
shift,
this
study
an
effort
determine
dynamics
between
environmental
period
1995/Q1
2018/Q4
using
data
top‐seven
green
economies
by
employing
novel
Quantile‐on‐Quantile
(QQ)
regression
approach.
outcomes
from
QQ
approach
indicate
mixed
asymmetric
impact
sample
countries
over
different
quantiles.
However,
a
higher
promoting
observed
at
upper‐middle
quantiles
most
countries.
robustness
study's
results
validated
Quantile
Regression
(QR)
nonparametric
quantile
causality
test.
provide
significant
suggestions
formulate
helping
accomplish
Sustainable
Development
Goals
(SDGs)
7
13
ensuring
sustainability.
