Environmental Science and Pollution Research,
Год журнала:
2024,
Номер
31(13), С. 20033 - 20047
Опубликована: Фев. 17, 2024
Abstract
Considering
a
vast
majority
of
application
areas,
the
study
investigates
how
environmental
tax
(ET)
affects
ecological
footprint.
In
this
context,
examines
European
Union
Five
(EU5)
countries,
considers
footprint
(EF)
as
proxy
environment,
uses
ET
tax-based
measures
by
making
both
disaggregated
(i.e.,
energy
and
transport)
aggregated
level
analysis,
performs
novel
nonlinear
quantile-based
approaches
for
period
from
1995/Q1
to
2021/Q4.
The
outcomes
show
that
on
EF
(i)
energy-related
has
only
declining
effect
at
lower
middle
quantiles
in
Germany
Italy,
whereas
it
does
not
have
curbing
other
countries;
(ii)
transport-related
is
effective
any
country,
which
means
effect;
(iii)
total
decreasing
Germany;
(iv)
alternative
method
validates
robustness.
Thus,
demonstrates
changing
across
quantiles,
types
EF.
Hence,
can
be
suggested
go
relying
further
practices
decrease
EF,
there
long
way
remaining
EU5
countries
well
Nuclear Engineering and Technology,
Год журнала:
2023,
Номер
56(1), С. 180 - 188
Опубликована: Сен. 15, 2023
This
research
examined
consumption-based
carbon
emission
reduction
by
nuclear
energy
consumption
and
environmental
tax
while
considering
the
context
of
trade
globalization
in
highest
five
emitter
nations
from
1990
to
2020.
study
used
various
empirical
methodologies,
including
preliminary
analysis
check
stationarity
cointegration,
CS-ARDL
for
long-run
analysis,
CCEMG,
AMG
robustness,
DH
causality
test
short-term
pairwise
causation.
The
results
indicated
that
consumption,
tax,
help
mitigate
emissions
economic
growth
population
density
boost
emissions.
Furthermore,
also
found
two-way
casual
connection
exists
between
density,
Thus,
emphasize
need
government
policies
encourage
as
a
strategy
reduce
achieve
maintain
development.
Financial Innovation,
Год журнала:
2024,
Номер
10(1)
Опубликована: Фев. 28, 2024
Abstract
This
study
constructs
a
proposed
model
to
investigate
the
link
between
environmental,
social,
and
governance
(ESG)
disclosures
ESG
scores
for
publicly
traded
companies
in
Borsa
Istanbul
Sustainability
(XUSRD)
index.
In
this
context,
considers
66
companies,
examining
recently
structured
2022
that
were
published
first
time
as
novel
data
applying
multilayer
perceptron
(MLP)
artificial
neural
network
algorithm.
The
relevant
results
are
fourfold.
(1)
MLP
algorithm
has
explanatory
power
(i.e.,
R
2
)
of
79%
estimating
companies’
scores.
(2)
Common,
environment,
pillars
have
respective
weights
21.04%,
44.87%,
30.34%,
3.74%
total
(3)
absolute
relative
significance
each
reporting
principle
varies.
(4)
According
significance,
most
effective
is
common
principle,
followed
by
social
environmental
principles,
whereas
principles
less
significance.
Overall,
demonstrate
linear
approach
complete
deficient
inefficient
increasing
scores;
instead,
should
focus
on
highest
findings
contribute
literature
defining
significant
stimulating
XUSRD
Energy & Environment,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 30, 2024
An
important
part
of
environmental
pollution
has
resulted
in
energy
consumption,
the
level
varies
across
sectors,
and
R&D
investments
have
been
strategic
tools
this
respect.
Considering
fact,
research
studies
role
on
CO
2
emissions
by
focusing
USA
case
as
pioneering
investing
country
technologies.
In
context,
study
makes
a
disaggregated
analysis
performs
various
nonlinear
methods
to
data
between
1975/Q1
2020/Q4.
The
empirical
results
demonstrate
that
(i)
strong
dependency
sectoral
times
frequencies;
(ii)
at
higher
quantiles,
nuclear
generally
declining
impact
power
building
sector
emissions,
whereas
renewable
stimulate
emissions;
(iii)
are
causally
effective
quantiles;
(iv)
total
curb
emissions.
demonstrates
varying
heterogonous
based
time,
frequency,
quantile,
types.
Thus,
policymakers
should
include
types,
sector-based
differentiating
impacts
re-formulating
policy
framework
critical
issue
for
ensuring
sustainable
development.
Accordingly,
policies
(e.g.
relying
investments,
re-balance
distribution
among
alternatives,
consideration
differences)
discussed.
In
this
study,
given
the
critical
role
and
importance
of
energy
transition,
effect
information
communication
technologies
(
ICT
)
is
researched
levels
energy‐related
research
development
(R&D)
investments
on
transition
index
ETI
),
controlling
for
human
capital
HC
consumption
EC
income
(gross
domestic
product
[
GDP
])
are
disaggregated.
Therefore,
in
United
States
America
(USA)
focused
as
world's
leading
economy,
a
total
five
machine
learning
(ML)
algorithms
performed,
data
from
2000/Q1
to
2021/Q4
used.
outcomes,
it
shown
that:
1)
multivariate
adaptive
regression
splines
approach
best
estimation
algorithm
among
ML
approaches
based
coefficient
determination
R
2
which
has
85%
capacity
;
2)
most
important
factors
,
followed
by
renewable
R&D
investments,
efficiency
nuclear
that
order;
3)
carbon
capture
storage
no
significant
.
overall
results
suggested
technological
progress
central
USA
environmental
policies
implemented
should
be
closely
linked
progress.
Asian Journal of Technology Innovation,
Год журнала:
2024,
Номер
32(3), С. 572 - 603
Опубликована: Янв. 7, 2024
This
study
employs
econometric
models
and
cross-case
analysis
to
investigate
the
impact
mechanism
of
public
procurement
(PP)
on
enterprises'
green
innovation
(EGI).
Based
manual
identification
government
customers,
we
conduct
panel
model
estimations
Chinese
listed
company
data
from
2010
2021.
Findings
reveal
that
PP
has
a
effect
at
micro
level.
Moreover,
expected
market
returns,
corporate
social
responsibility
(CSR),
financing
constraints
play
mediating
role
between
EGI.
Additionally,
delved
into
relationship
EGI
through
study.
It
not
only
validates
conclusions
drawn
but
also
summarises
heterogeneous
characteristics
affecting
in
practice.
contributes
existing
literature
outcomes
factors
impacting
furnishes
additional
empirical
insights
mechanisms
which
enhances
