Links between technological innovation, financial efficiency and environmental quality using quantile regressions: The role of foreign direct investment, institutional quality and natural resources
Journal of Open Innovation Technology Market and Complexity,
Journal Year:
2024,
Volume and Issue:
10(3), P. 100360 - 100360
Published: Aug. 9, 2024
Policymakers
and
academics
are
interested
in
identifying
mechanisms
that
promote
environmental
sustainability
due
to
their
relationship
with
climate
change.
This
research
evaluates
the
channels
transmit
effect
of
technology
financial
efficiency
on
quality.
The
is
moderated
by
real
production
per
capita,
foreign
direct
investment,
natural
resource
rents,
institutional
quality
context
Environmental
Kuznets
Curve.
covers
1996–2021
period
for
a
sample
88
economies
classified
into
three
groups
according
World
Bank
Atlas
Method.
We
use
second-generation
cointegration
techniques
structural
breaks
quantile
regression
models.
findings
offer
sufficient
evidence
conclude
impact
heterogeneous
throughout
distribution.
Our
suggest
more
associated
maximizing
than
mitigating
or
restoring
deterioration.
A
policy
implication
derived
from
our
encourage
generation
carbon-free
upper-middle-income
countries
achieve
sustainability.
Language: Английский
Does natural resource rent and financial inclusion curb carbon emissions? Empirical evidence from E7 and G7 economies
Shnehal Soni,
No information about this author
Manogna R.L.
No information about this author
Humanities and Social Sciences Communications,
Journal Year:
2025,
Volume and Issue:
12(1)
Published: April 1, 2025
Language: Английский
Empirical evidence of emissions discourse related to food, beverage, and tobacco production in leading manufacturing nations
Environmental Science and Pollution Research,
Journal Year:
2024,
Volume and Issue:
31(16), P. 23968 - 23978
Published: March 4, 2024
Language: Английский
Exploring the Effects of Renewable Energy, Energy Consumption, and Industrial Growth on Saudi Arabia’s Environmental Footprint: An Autoregressive Distributed Lag Analysis
Energies,
Journal Year:
2024,
Volume and Issue:
17(24), P. 6327 - 6327
Published: Dec. 16, 2024
This
study
explores
the
long-run
relationship
among
environmental
footprint
(EnF),
renewable
energy
consumption,
use,
industrial
growth,
and
urbanization
in
Saudi
Arabia
from
1990
to
2023,
employing
Autoregressive
Distributed
Lag
(ARDL)
model,
alongside
Fully
Modified
Ordinary
Least
Squares
(FMOLS),
Dynamic
(DOLS),
Canonical
Cointegrating
Regression
(CCR)
for
robustness
checks.
Results
indicate
a
significant
long-term
variables,
with
adoption
emerging
as
crucial
factor
reducing
carbon
emissions.
The
ARDL
bounds
test
confirms
existence
of
cointegration,
revealing
dynamic
interplay
energy,
economic
sustainability.
findings
show
that
consumption
significantly
reduces
(CO2
emissions),
supporting
Arabia’s
Vision
2030
goals
diversification
sustainable
development.
However,
expansion,
while
critical
still
contributes
increased
emissions,
underscoring
need
further
investment
clean
technologies.
also
highlights
role
urbanization,
which,
essential
development,
poses
challenges
Short-term
dynamics,
represented
by
Error
Correction
Model,
fast
adjustment
speed
toward
equilibrium,
deviations
corrected
approximately
52%
each
period.
offers
valuable
insights
policymakers
aiming
balance
growth
protection,
emphasizing
strategic
investments
efficiency.
research
understanding
energy–economy–environment
interactions
oil-rich
economies,
providing
foundation
future
studies
explore
impact
advanced
technologies
policy
interventions
on
development
Language: Английский