PLoS ONE,
Journal Year:
2024,
Volume and Issue:
19(10), P. e0311154 - e0311154
Published: Oct. 31, 2024
Based
on
an
analysis
of
643
listed
firms
in
clean
technology
sectors,
this
study
explores
the
nonlinear
impact
government’s
environmental
attention
(GEA)
firms’
green
innovation
by
exploiting
threshold
and
quantile
regression
techniques
Stata
17.
We
show
that
a
double
exists
when
level
GEA
is
51
or
104,
above
which
positive
cleantech
significantly
diminishes.
The
results
from
further
indicate
receive
almost
no
benefits
at
lower
levels
innovation.
Thus,
policy-makers
designing
policies
should
consider
marginal
benefit
wanes
beyond
certain
levels,
especially
for
lack
sufficient
enthusiasm
Sustainable Cities and Society,
Journal Year:
2024,
Volume and Issue:
103, P. 105284 - 105284
Published: Feb. 19, 2024
Urban
energy
demand
aggregation
(UEDA)
is
a
key
aspect
of
urban
sustainability,
as
it
can
help
to
improve
the
efficiency
systems
and
reduce
their
environmental
impacts.
However,
UEDA
challenging
task,
involves
aggregating
heterogeneous
diverse
demands
individual
buildings
into
collective
at
given
spatial
scale.
This
paper
proposes
novel
entropy-based
method
for
that
quantifies
information
loss
or
distortion
resulting
from
this
process.
The
also
identifies
optimal
scale
minimizes
distortion,
evaluates
quality
reliability
results
using
metrics.
We
apply
case
study
Chicago,
where
we
estimate
analyze
10
scales,
ranging
1.5
km
15
km,
different
types
sources.
calculate
entropy
each
source,
compare
with
building
characteristics
ZIP
codes.
assess
metrics,
such
gain
ratio
normalized
mutual
information.
Our
show
scales
reveal
patterns
relationships
demand,
choosing
an
appropriate
enhance
accuracy
UEDA.
there
balances
preservation
reduction,
may
vary
depending
on
type
source
context.
findings
contribute
field
sustainability
by
developing
perspective
dynamics,
revealing
complexity
diversity
systems,
population,
land
use,
transportation,
demand.
Forests,
Journal Year:
2024,
Volume and Issue:
15(9), P. 1517 - 1517
Published: Aug. 29, 2024
Forests
are
an
important
part
of
natural
resources
and
play
role
in
carbon
sinks.
We
measured
sinks
provincial
forest
parks
using
data
from
four
inventory
surveys
China
the
stock
expansion
method.
Carbon
emissions
tourism
were
also
estimated
energy
statistics
park
data.
On
this
basis,
spatial
analysis
was
used
to
summarize
temporal
evolution
balance
influencing
factors.
The
results
show
following:
(1)
With
passage
time,
all
provinces
have
increased
different
degrees,
national
1,071,390.231
(million
tons)
2003
286,255,829.7
2018;
spatially,
distribution
is
uneven,
with
overall
high
south
low
north,
a
east
west.
(2)
sink
showed
trend
gradual
growth
spatially
formed
pattern
northeast
southwest,
which
consistent
China.
(3)
For
emissions,
total
number
tourists,
income,
playing
roads
significant
factors,
baseline
regression
coefficients
0.595,
0.433,
0.799,
respectively,
while
for
sinks,
employees
can
certain
positive
coefficient
being
1.533.
PLoS ONE,
Journal Year:
2025,
Volume and Issue:
20(2), P. e0319050 - e0319050
Published: Feb. 27, 2025
Cultivated
land
is
the
most
valuable
agricultural
resource
and
important
factor
of
production.
The
protection
cultivated
quality
not
only
foundation
national
food
security
but
also
a
strategic
issue
related
to
sustainable
development
economy
society
as
whole.
This
paper
uses
survey
data
from
Jiangxi
Province's
"Double
Hundred
Thousand"
in
2023
empirically
analyzes
impact
digital
literacy
on
farmers'
behaviors
its
mechanism
by
using
O-probit
model
mediating
effect
model.
results
show
that
can
effectively
promote
behaviors.
Furthermore,
indirectly
through
cognition
use
ability.
Heterogeneity
analysis
indicates
farmers
are
more
inclined
participate
In
context
better
soil
fertility
conditions
higher
literacy.
Therefore,
it
necessary
continuously
improve
farmers,
their
awareness
protection,
strengthen
Remote Sensing,
Journal Year:
2025,
Volume and Issue:
17(9), P. 1632 - 1632
Published: May 4, 2025
Fine
particulate
matter
(PM2.5)
has
garnered
significant
scientific
and
public
health
concern
owing
to
its
capacity
for
deep
penetration
into
the
human
respiratory
system,
presenting
risks.
Despite
implementation
of
strict
environmental
policies
in
China
over
past
decade
reduce
PM2.5
levels,
long-term
concerns
remain
a
serious
issue.
Our
study
aims
provide
high-quality,
seamless
daily
dataset
covering
years
2015
2024.
A
two-step
estimation
model
is
established
based
on
machine
learning
algorithm
spatio-temporal
decomposition
method.
First,
we
utilize
XGBoost
(EXtreme
Gradient
Boosting)
address
gaps
MAIAC
(Multi-Angle
Implementation
Atmospheric
Correction)
AOD
(Aerosol
Optical
Depth),
with
R2/RMSE
(coefficient
determination/Root
Mean
Square
Error)
0.67/0.2678
compared
AERONET
Robotic
Network)
AOD.
Then,
novel
approach
by
integrating
EOF
(Empirical
Orthogonal
Function)
introduced
estimation.
The
integration
allows
incorporation
entire
meteorological
field
information
model,
significantly
enhancing
accuracy:
spatial
CV
(cross-validation)-R2
improved
from
0.8340
0.8935,
CV-RMSE
reduced
13.8177
11.0668.
Leveraging
newly
produced
dataset,
analyze
variations
across
decomposition,
particularly
noting
that
levels
eastern
anthropogenic
intensive
regions
continuously
declined
2020,
fluctuated
steadily
during
2020–2024.
This
research
underscores
critical
need
sustained
effective
air
quality
management
strategies
China.
Frontiers in Environmental Science,
Journal Year:
2025,
Volume and Issue:
13
Published: May 15, 2025
Enhancing
data
elements
to
support
environmental
governance
is
a
key
initiative
for
promoting
digital
transformation
and
ecological
development.
This
study
constructs
quasi-natural
experiment
based
on
panel
of
Chinese
cities
from
2010
2021,
using
the
staggered
rollout
open
government
(OGD)
platforms
evaluate
their
impact
air
pollution
(AP)
underlying
mechanisms.
The
results
show
that
OGD
significantly
reduces
annual
average
PM
2.5
concentrations
by
approximately
1.55
units
(p
<
0.01),
indicating
notable
improvement
in
quality.
Mechanism
analysis
suggests
disclosure
affects
AP
through
three
pathways:
enhancing
regulation,
stimulating
green
innovation,
optimizing
industrial
structure.
A
one-unit
increase
these
mediating
variables
0.02,
15.3,
11.75
units,
respectively
(all
p
0.01).
In
addition,
market
size
openness
positively
moderate
effect
OGD.
Heterogeneity
reveals
regional
variation.
Western
China,
about
5.61
0.01);
Eastern
reduction
1.11
0.05),
while
not
significant
Central
China.
Yangtze
River
Economic
Zone,
leads
1.42
1.3
0.01)
non-Yangtze
region.
These
findings
provide
theoretical
empirical
improving
policies
leveraging
governance.
Frontiers in Sustainable Food Systems,
Journal Year:
2025,
Volume and Issue:
9
Published: May 29, 2025
The
integration
of
agriculture,
culture,
and
tourism
industries
as
a
driver
industrial
modernization
has
become
an
essential
strategy
during
China’s
transition
from
rapid
growth
to
high-quality
development.
In
pursuit
the
goal
common
prosperity,
local
governments
at
various
levels
have
actively
responded
by
attempting
promote
economic
through
these
three
industries.
Data
126
key
national
rural
revitalization
counties
in
China
between
2018
2020
is
selected
sample,
entropy
value
analysis
used,
this
paper
discusses
level
whether
such
promoted
growth.
results
show
that
while
seen
fluctuating
growth,
overall
remains
low
with
significant
disparities
across
regions.
Counties
higher
development,
human
capital,
digitalization
tend
However,
compared
ethnic
counties,
non-ethnic
despite
their
disadvantage
achieved
caught
up
adapting
conditions
leveraging
features.
Further
indicates
even
though
current
not
high,
it
still
promotes
conclusions
provide
insights
for
transitioning
poverty
alleviation
revitalization.
By
promoting
integrated
development
industries,
can
achieve
narrow
regional
gaps,
ultimately
realize
prosperity.
Journal of applied science and environmental management,
Journal Year:
2024,
Volume and Issue:
28(5), P. 1553 - 1572
Published: May 24, 2024
Wastewater
treatment
is
a
critical
aspect
of
environmental
management,
aimed
at
mitigating
the
adverse
effects
urbanization
and
industrialization
on
water
bodies.
This
review
provides
comprehensive
overview
wastewater
characteristics,
methods,
disposal
options
by
harvesting
data
from
secondary
sources.
Data
obtained
reveals
that
various
processes
are
employed
to
remove
or
reduce
contaminants
wastewater,
including
physical,
chemical,
biological
methods.
underscores
importance
in
safeguarding
resources
public
health,
while
also
emphasizing
considering
broader
implications
practices.
Frontiers in Sustainable Food Systems,
Journal Year:
2024,
Volume and Issue:
8
Published: Dec. 16, 2024
Introduction
Pollutants
from
farming
and
rural
life
have
a
serious
negative
impact
on
water
soil.
The
advantages
of
green
finance
in
financial
support
credit
management
can
guide
the
transformation
agricultural
production,
thus
protecting
ecological
environment.
Methods
Based
panel
data
30
provinces
China
2005
to
2021,
study
used
inventory
analysis,
entropy
method
two-way
fixed
effect
model
analyze
non-point
source
pollution
(ANSP)
mediating
mechanism.
Results
ANSP
has
experienced
an
inverted
U-shaped
trend
first
rising
then
falling,
environment
is
improving.
At
time
level,
produced
by
production
evolution
increasing
decreasing
during
sample
period.
spatial
significant
low
regional
differentiation.
central
region
coastal
economic
development
area
higher
than
that
western
region.
results
linear
regression
show
ANSP.
Promoting
areas
effectively
agriculture
reduce
dependence
crop
cultivation
fertilizers
pesticides.
This
result
held
even
after
elimination
endogeneity
various
tests.
Land
transfer
environmental
supervision
are
important
intermediary
mechanisms.
Under
influence
these
two
variables,
role
reduction
be
fully
brought
into
play.
However,
there
heterogeneity
effects
ANSPs.
Its
stronger
major
grain-producing
regions
with
well-developed
digital
infrastructure.
Discussion
confirms
once
again
ANSP,
findings
help
decouple
economy
emissions.
outstanding
contribution
this
discovery
land
government
regulation.
I
order
give
full
play
reduction,
provides
relevant
policy
measures.
These
measures
intended
improve
system
business
areas.