International Journal of Decision Support System Technology,
Год журнала:
2025,
Номер
17(1), С. 1 - 22
Опубликована: Март 22, 2025
Utilising
data
from
the
Jiangsu
Province
manufacturing
sector
2000
to
2022,
this
study
applies
entropy
value
method
build
a
upgrading
level
indicator
system
three
dimensions:
scale,
efficiency,
and
quality.
Additionally,
foreign
direct
investment
(FDI),
urbanisation
rate
(UR)
government
intervention
(GI)
are
selected
construct
vector
autoregressive
(VAR)
model
empirically
test
dynamic
influence
of
factors
on
(MU).
The
results
indicate
an
overall
upward
trend
in
MU
2022.
Impulse
response
variance
decomposition
analyses
reveal
that
UR
FDI
negatively
correlate
with
MU,
while
GI
has
positive
effect.
itself
is
primary
contributor
province's
MU.
contribution
rates
other
as
follows:
GI;FDI;UR.
Environmental Technology & Innovation,
Год журнала:
2023,
Номер
32, С. 103348 - 103348
Опубликована: Авг. 24, 2023
In
this
study,
we
examined
the
impact
of
digital
infrastructure
and
financial
structure
on
carbon
emissions
in
high-polluted
economies
Asia
for
period
1991–2019.
For
empirical
analysis,
have
applied
panel
ARDL-PMG
quantile
regression
approach.
The
results
ARDL
model
provided
some
important
information.
Firstly,
our
suggest
that
help
reduces
Asian
long
run.
Secondly,
an
increase
internet
subscriptions
improves
environmental
quality.
Thirdly,
a
rise
population
economic
development
these
countries
positively
impacts
CO2
emissions.
contrast,
R&D
has
significant
effect
approach
also
complements
findings
model.
confirm
improvement
However,
estimates
are
largest
from
40th
to
70th
quantiles
almost
all
models.
Similarly,
digitalization
country
emissions,
variables
appeared
be
significantly
negative
quantiles.
