The application of intelligent technology has an important impact on the green total factor productivity of China’s manufacturing industry. Based on the provincial panel data of China’s manufacturing industry from 2008 to 2017, this article uses the Malmquist–Luenburger (ML) model to measure the green total factor productivity of China’s manufacturing industry, and further constructs an empirical model to analyze the impact mechanism of intelligence on green total factor productivity. The results show that intelligence can increase the green total factor productivity of the manufacturing industry. At the same time, mechanism analysis shows that intelligence can affect manufacturing green total factor …
International Journal of Energy Economics and Policy,
Journal Year:
2021,
Volume and Issue:
11(5), P. 255 - 274
Published: Aug. 20, 2021
Accelerated
development
of
the
Takalar
Regency
area
towards
economic
growth
has
an
impact
on
productivity
community's
enterprises.
Furthermore,
increase
in
enterprises
coupled
with
Minapolitan
will
contribute
positively
to
meeting
renewable
energy
needs
and
improving
environmental
quality
sustainable
development.
This
study
aims
analyze:
(1)
Economic
work
as
determinants
increasing
demand
for
area;
(2)
The
effect
growth,
utilization
energy,
strengthening
institutional
capacity
areas.
uses
a
qualitative-quantitative
approach
sequentially.
Data
obtained
through
observation,
in-depth
interviews,
surveys,
documentation.
results
indicate
that
preparation
infrastructure
positive
contribution
community
total
improvement
is
63.36%.
residual
or
residue
was
not
examined
36.64%.
direct
environment
sustainability
67.73%.
remaining
32.27%.
Thus,
utilization,
together
have
effect,
determination
coefficient
46.65%,
affects
39.56%.
recommends
direction
very
important
optimize
use
environmental,
economic,
social
sustainability,
followed
by
government
society
ensuring
balanced
future.Keywords:
growth;
productivity;
energy;
development.JEL
Classification:
Q5DOI:
https://doi.org/10.32479/ijeep.11502
International Journal of Environmental Research and Public Health,
Journal Year:
2022,
Volume and Issue:
19(16), P. 9926 - 9926
Published: Aug. 11, 2022
A
more
scientific
green
economy
efficiency
indicator
is
constructed
based
on
OH
(2010),
and
a
multiperiod
spatial
DID
model
used
to
examine
the
impact
of
national
credit
demonstration
policies
urban
in
sample
cities
above
prefecture
level
Yangtze
River
Delta.
The
study
confirms
following:
(1)
policy
makes
significant
contribution
economic
cities,
it
conducive
strengthening
awareness
rule
law
market
regulate
order.
(2)
demand
for
regulation
coastal
areas
has
increased
under
new
development
pattern,
effectively
enhanced
through
institutional
supply.
(3)
Under
policy,
subprovincial
can
mobilise
resources
refinement
support,
reducing
transaction
costs
improving
economy.
(4)
Zhejiang's
obvious;
but,
overall
framework
Delta,
prominent
role
promoting
other
provinces.
Policy
insights
are
as
follows:
Different
have
different
degrees
from
they
should
implement
differentiated
measures
regional
heterogeneity;
regulating
use
administrative
avoiding
undue
intervention
important
prerequisites
integration
enhance
economy;
interprovincial
synergies
help
alleviate
distortions
implementation
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(19), P. 8443 - 8443
Published: Sept. 27, 2024
The
deep
integration
of
intelligent
technology
and
the
manufacturing
industry
is
a
crucial
driving
force
for
promoting
green
low-carbon
development,
which
key
strategy
achieving
sustainable
development.
Using
panel
data
from
30
provinces
in
mainland
China
2010
to
2022,
this
study
measures
level
development
total
factor
carbon
emission
performance
(TFCEP).
Additionally,
mediating
effect
model
constructed
explore
impact
(IM)
on
(CEP)
its
underlying
mechanisms.
findings
reveal
that
(1)
intellectualization
significantly
enhances
CEP,
conclusion
remains
robust
under
various
tests;
(2)
IM
CEP
varies
by
regional
geographical
locations,
degree
economic
agglomeration
(EA),
whether
province
pilot
area;
(3)
mechanism
analysis
indicates
improves
EA.
Given
world’s
largest
country
emitter,
analyzing
provides
valuable
theoretical
insights
practical
experiences
other
countries
aiming
achieve
win–win
situation
environmental
improvement.
