Abstract
Agriculture
is
one
of
the
major
sources
global
emissions
that
cause
climate
change
while
agricultural
value
added
helps
to
boost
economy
in
developing
countries
like
China.
Therefore,
this
study
aims
investigate
long-
and
short-term
influences
added,
economic
growth
(GDP),
energy
use
on
carbon
dioxide
(CO
2
)
The
autoregressive
distributed
lag
(ARDL)
method
was
used
by
using
annual
time
series
data
from
1990
2021.
empirical
outcomes
revealed
a
1%
increase
would
cut
CO
1.37%
long-run
0.65%
short-run.
However,
found
both
GDP
consumption
have
positive
statistically
significant
effect
emissions.
Furthermore,
an
inverted
U-shaped
association
between
environmental
pollution
discovered
spotting
coefficient
negative
squared,
which
proved
validity
Kuznets
curve
(EKC)
hypothesis.
robustness
ARDL
verified
fully
modified
ordinary
least
squares
(FMOLS),
dynamic
(DOLS),
canonical
cointegration
regression
(CCR)
approaches.
This
offers
comprehensive
set
policy
recommendations
aimed
at
enhancing
These
suggestions
focus
promotion
climate-smart
agriculture,
integration
renewable
production,
adoption
advanced
technologies
within
systems.
Implementing
these
measures
contribute
achievement
China’s
goal
neutrality.
Graphical
Journal of Technology Innovations and Energy,
Год журнала:
2023,
Номер
2(3), С. 37 - 63
Опубликована: Сен. 19, 2023
The
rising
usage
of
fossil
fuels
increases
greenhouse
gas
(GHG)
emissions,
leading
to
global
climate
change.
Thus,
addressing
environmental
challenges
requires
a
widespread
switch
from
renewable
energy.
Renewable
energy
reduces
GHG
extreme
weather,
and
change
while
boosting
efficiency.
Indonesia
ranks
among
Asia-Pacific's
top
five
producers.
Indonesia,
vast
country
with
abundant
natural
resources,
has
seen
rise
in
demand
as
consumption
increased.
this
study
examines
Indonesia's
sustainable
technologies'
existing
position,
possibilities,
future
improvements.
With
420
gigawatts
(GW)
theoretical
capacity,
great
potential.
This
capacity
includes
208
GW
solar,
75
hydro,
61
wind,
33
biofuel,
24
geothermal,
19
micro-hydro.
need
increase
is
driven
by
economic
growth
laws.
review
expected
guide
research
on
technology
Indonesia.
would
energy-related
policies,
particularly
ones,
meet
demands
goals.
Journal of Environmental Science and Economics,
Год журнала:
2024,
Номер
3(1), С. 1 - 17
Опубликована: Янв. 1, 2024
Over
the
course
of
previous
three
decades,
Vietnam
has
seen
a
phase
economic
growth,
resulting
in
influx
foreign
direct
investment
(FDI).
However,
it
is
essential
to
note
that
there
was
an
extensive
rise
carbon
dioxide
(CO2)
emissions
throughout
this
period.
The
objective
research
analyze
impact
FDI
and
CO2
on
Vietnam's
utilizing
time
series
data
from
1990
2021.
stationarity
assessed
using
unit
root
tests,
while
autoregressive
distributed
lag
(ARDL)
procedure
utilized
examine
long-
short-run
associations
between
components.
Based
outcomes,
marginal
one
percent
both
associated
with
corresponding
long-term
gain
1.36
1.11
gross
domestic
product
(GDP).
Furthermore,
short
term,
these
increments
yield
increase
0.61
0.29
GDP.
conclusions
study
will
provide
valuable
insights
for
policymakers
crafting
policies
effectively
promote
sustainable
development.
Specifically,
would
aim
strike
balance
capital
growth
derived
investments
expansion,
concurrently
mitigating
emissions.
Ecological Indicators,
Год журнала:
2024,
Номер
162, С. 112011 - 112011
Опубликована: Апрель 23, 2024
Promoting
environmental
sustainability
has
become
a
global
imperative
in
our
collective
efforts
to
combat
climate
change.
Consequently,
there
is
an
urgent
need
explore
effective
strategies
for
achieving
sustainability.
In
this
context,
we
investigate
the
nexus
between
sustainable
tourism,
renewable
energy,
technological
innovation,
and
quality.
Our
study
utilizes
panel
data
from
Belt
Road
Initiative
(BRI)
countries,
covering
period
1995
2020,
categorizes
sample
into
distinct
income
clusters.
Employing
rigorous
empirical
methods
such
as
quantile
autoregressive
distributed
lag
(QARDL),
unit
root
tests,
ordinary
least
squares
(OLS),
Wald
test,
uncover
significant
insights.
Notably,
findings
reveal
that
tourism
innovation
exhibit
robust
negative
long-run
associations
with
greenhouse
gas
(GHG)
emissions
across
all
economic
groups.
Furthermore,
energy
demonstrates
significantly
relationship
GHG
low-income
economies
(specifically,
0.8%,
1.2%,
1.2%
at
50th,
70th,
90th
quantiles,
respectively).
The
comprehensive
analysis,
encompassing
entire
sample,
underscores
link
both
short-run.
Additionally,
test
results
validate
dynamic
integration
parameter
consistency
over
time.
light
of
these
findings,
advocate
stakeholders
BRI
embrace
environmentally
conscious
growth
innovative
technologies
achieve
lasting
Journal of Economy and Technology,
Год журнала:
2024,
Номер
2, С. 138 - 154
Опубликована: Апрель 25, 2024
The
goal
of
the
research
project
is
to
look
at
influence
economy,
technology,
and
renewable
energy
on
China's
ecological
damage.
A
number
methods,
such
as
ARDL
bound
test
for
cointegration,
DOLS,
FMOLS,
CCR,
were
utilized
how
explanatory
variables
changed
that
affected
dependent
variable.
DOLS
estimate
results
show
a
significant
positive
extended
connection
between
economic
growth
CO2
generations.
1%
increase
in
expansion
0.51%
rise
emissions.
use
has
strong
destructive
association
with
emissions
carbon
dioxide
are
expected
decline
by
0.03%
over
long
run
every
upsurge
green
use.
Moreover,
technological
innovation
substantial
adverse
long-term
effect,
resulting
0.08%
decrease
reliability
findings
confirmed
using
several
estimators,
FMOLS
CCR.
paired
Granger
causality
was
used
determine
causal
link
among
various
factors.
study
recommends
implementing
regulatory
measures
support
carbon-free
boosting
consumption
clean
energy,
investing
developments
lower
achieve
neutrality
China.
Air Quality Atmosphere & Health,
Год журнала:
2024,
Номер
unknown
Опубликована: Март 14, 2024
Abstract
This
research
analyzes
the
dynamic
relationship
between
green
bonds,
energy
prices,
geopolitical
risk,
and
CO
2
emissions.
In
doing
so,
study
examines
global
scale
at
disaggregated
(i.e.,
sectoral)
level,
applies
a
novel
time
frequency-based
approach
wavelet
local
multiple
correlation-WLMC),
uses
high-frequency
daily
data
1st
January
2020
28th
April
2023.
considers
potential
differences
among
sectors.
So,
aggregated
level
emissions
on
sectoral
bases
are
investigated.
Hence,
comprehensively
uncovers
effect
of
aforementioned
indicators
The
results
reveal
that
(i)
most
influential
factor
is
risk
(2020/1–2021/5),
bonds
(2021/5–2021/7),
prices
(2021/7–2023/1),
(2023/1–2023/4);
(ii)
effects
factors
much
weaker
(stronger)
lower
(higher)
frequencies;
(iii)
change
based
times
(iv)
however,
do
not
differ
or
levels.
Overall,
present
insights
for
frequency-varying
as
well
both
analyses
Applied Economics,
Год журнала:
2024,
Номер
unknown, С. 1 - 17
Опубликована: Фев. 27, 2024
The
authority
has
moved
away
from
using
GDP
as
the
sole
measure
of
local
government
performance,
placing
new
emphasis
on
environmental
governance,
tax
administration,
and
technological
innovation.
This
shift
spurred
competition
among
governments,
prompting
need
to
examine
relationship
between
competitive
behaviour
firms'
green
study
uses
panel
data
2007
2020
presents
a
comprehensive
research-based
explanation
how
affects
innovation
activities
under
China's
fixed
floating
fee
systems,
applying
causal
forest
algorithm.
results
show
that
suppresses
system,
but
stimulates
it
system.
Further
analysis
shows
system's
relatively
higher
national
governance
increased
system
increase
operating
costs,
leading
'crowding
out
effect'
Conversely,
governments
reduces
promotes
investment
in
innovation,
creates
'leverage
effect'.
