Climate
change
is
a
highly
debated
issue
among
policymakers
and
stakeholders
because
it
catalyzes
numerous
other
problems.
Similarly,
natural
resources
are
blessing
for
any
country’s
economic
development,
but
sometimes,
this
can
become
source
of
many
The
research
rigorously
employs
the
Autoregressive
Distributed
Lag
(ARDL)
model,
widely
accepted
econometric
tool
analyzing
long-run
relationships,
aims
to
investigate
impact
resources,
renewable
energy
consumption,
agricultural
activities
on
carbon
emissions,
considering
growth
in
Russia
30
years
period.
ARDL
model
has
evaluated
that
agrarian
significantly
positively
affect
emissions
due
growth,
while
hurts
Russia.
This
uses
quantitative
approach
relies
secondary
data.
Furthermore,
robustness
checks
using
Fully
Modified
Ordinary
Least
Squares
(FMOLS),
Dynamic
(DOLS),
Canonical
Cointegration
Regression
(CCR)
confirmed
primary
outcomes
model.
Diagnostic
tests
(CUSUM
CUSUMSQ)
have
shown
model's
stability,
multicollinearity
test
(VIF)
highlighted
absence
multicollinearity.
findings
Russia’s
agriculture
harm
environment,
offers
beacon
hope,
promoting
sustainability
growth.
research,
with
its
recommendations
reducing
developed
countries,
path
towards
more
sustainable
future,
inspiring
optimism
hope.
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.
Frontiers in Sustainable Energy Policy,
Journal Year:
2025,
Volume and Issue:
3
Published: Jan. 7, 2025
The
global
phenomenon
of
environmental
deterioration
often
signifies
the
increase
in
ecological
footprint
and
emissions
levels
that
adversely
affect
earth's
biocapacity.
This
results
from
use
substantial
fossil
fuels
energy
sources,
industrialization,
extensive
economic
activities
developing
countries.
In
this
context,
study
examine
impact
depletion,
technical
cooperation
grants,
on
load
capacity
factor
Pakistan
1970
to
2022.
To
accomplish
this,
employs
innovative
dynamic
autoregressive
distributed
lag
(ARDL)
simulation
approach,
providing
fresh
insights
contrast
with
earlier
conclusions.
authors
contribute
focusing
supply-side
dynamics
indicators,
namely
capacity,
viewpoint
Pakistan,
distinguishing
our
research
existing
academic
publications.
Our
results,
however,
demonstrate
a
markedly
favorable
effect
grants
enhancing
safety.
Furthermore,
depletion
industrialization
dynamics,
exacerbating
deterioration.
Moreover,
conducts
sensitivity
analysis
by
comparing
obtained
using
those
derived
footprints.
Consequently,
we
advocate
for
development
realistic
policies
mitigate
adverse
impacts
via
effective
sources
preserve
biodiversity.
Sustainable Development,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 6, 2025
ABSTRACT
In
recent
decades,
rapid
development
in
emerging
economies,
particularly
within
the
BRICS
bloc,
has
intensified
climate
challenges,
threatening
environmental
sustainability.
Green
energy,
technological
innovation,
and
carbon
pricing
strategies
have
emerged
as
key
tools
for
mitigating
these
impacts
while
promoting
green
economic
growth,
aligning
with
international
goals
such
2030
SDGs
pledge
neutrality
by
2060.
However,
balancing
socio‐economic
growth
sustainability
remains
a
significant
challenge
countries.
This
study
investigates
impact
of
diffusion,
finance,
natural
resource
rents
on
CO
2
emissions
economies
from
1995
to
2022.
The
research
employs
advanced
panel
data
techniques,
specifically
Augmented
Mean
Group
(AMG)
Common
Correlated
Effects
(CCEMG)
models,
account
cross‐sectional
dependence
heterogeneity.
empirical
results
show
that
finance
all
negative
emissions,
contributing
emission
reductions.
contrast,
diffusion
are
positively
associated
indicating
higher
lead
an
increase
emissions.
Dumitrescu
Hurlin
causality
tests
reveal
bidirectional
causal
relationships,
suggesting
not
only
do
factors
influence
but
also
advancement
technologies
growth.
Based
findings,
recommends
policy
actions
support
SDG
targets,
7,
8,
9,
13,
through
promotion
R&D,
circular
economy
practices.