Sustainability,
Journal Year:
2024,
Volume and Issue:
16(20), P. 9067 - 9067
Published: Oct. 19, 2024
With
the
vigorous
promotion
in
China
of
efforts
to
reduce
pollution
and
carbon
emissions,
examining
their
synergies
becomes
increasingly
crucial.
This
study
used
multi-regional
input–output
(MRIO)
table
build
consumption-based
industrial
emissions
inventories
CO2
three
major
air
pollutants
(PM2.5,
NOx,
SO2)
constructed
synergistic
emission
indices
intensity
magnitude
identify
evaluate
synergy
between
inter-industrial
trade
among
30
provinces
mainland
China.
The
results
show
that
more
than
85%
40%
inter-provincial
trades
have
pollutants,
respectively.
We
identified
77
84
with
strong
emissions.
They
are
mainly
reflected
demand
construction
industry
Zhejiang
Guangdong
for
nonmetal
mineral
products
manufacturing
Henan,
metal
smelting
processing
Hebei,
along
service
Beijing
electric
power,
steam,
hot
water
production
supply
Inner
Mongolia.
Our
provides
new
insights
into
reduction
within
chain,
thereby
enriching
discourse
on
regional
achieving
sustainable
development
goals.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(20), P. 8825 - 8825
Published: Oct. 12, 2024
Drawing
from
A-share
listed
companies’
data
the
Shanghai
and
Shenzhen
stock
markets
in
China
(2013–2022),
this
paper
adopts
differential
model
to
test
impact
mechanism
of
a
green
supply
chain
(GSC)
pilot
on
enterprises.
The
results
show
that
GSC
effectively
improved
carbon
performance
enterprises
passed
series
robustness
tests.
Mechanism
analysis
finds
innovation,
efficiency
improvement,
environmental
information
disclosure
(EID)
can
reduce
emissions
moderating
effect
discovers
regulation
attention
strengthened
role
improving
performance.
In
addition,
had
better
reduction
mature,
technology-intensive,
non-state-owned
above
research
conclusions
provide
strong
support
for
government
build
promote
low-carbon
development.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(20), P. 9067 - 9067
Published: Oct. 19, 2024
With
the
vigorous
promotion
in
China
of
efforts
to
reduce
pollution
and
carbon
emissions,
examining
their
synergies
becomes
increasingly
crucial.
This
study
used
multi-regional
input–output
(MRIO)
table
build
consumption-based
industrial
emissions
inventories
CO2
three
major
air
pollutants
(PM2.5,
NOx,
SO2)
constructed
synergistic
emission
indices
intensity
magnitude
identify
evaluate
synergy
between
inter-industrial
trade
among
30
provinces
mainland
China.
The
results
show
that
more
than
85%
40%
inter-provincial
trades
have
pollutants,
respectively.
We
identified
77
84
with
strong
emissions.
They
are
mainly
reflected
demand
construction
industry
Zhejiang
Guangdong
for
nonmetal
mineral
products
manufacturing
Henan,
metal
smelting
processing
Hebei,
along
service
Beijing
electric
power,
steam,
hot
water
production
supply
Inner
Mongolia.
Our
provides
new
insights
into
reduction
within
chain,
thereby
enriching
discourse
on
regional
achieving
sustainable
development
goals.
