Frontiers in Sustainable Food Systems,
Год журнала:
2024,
Номер
8
Опубликована: Дек. 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.
Sustainable Cities and Society,
Год журнала:
2024,
Номер
103, С. 105284 - 105284
Опубликована: Фев. 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.
PLoS ONE,
Год журнала:
2025,
Номер
20(2), С. e0319050 - e0319050
Опубликована: Фев. 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
Forests,
Год журнала:
2024,
Номер
15(9), С. 1517 - 1517
Опубликована: Авг. 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.
Journal of applied science and environmental management,
Год журнала:
2024,
Номер
28(5), С. 1553 - 1572
Опубликована: Май 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.
Deleted Journal,
Год журнала:
2024,
Номер
20(6s), С. 47 - 55
Опубликована: Апрель 29, 2024
This
study
investigates
the
impact
of
cognitive
service
technology
on
monitoring
and
identification
capabilities
within
a
direct
current
(DC)
system
in
power
grid.
paper
introduces
novel
Pattern
Recognition
Neural
Network
(PRNN)
by
integrating
Algorithm
(PRA)
Convolutional
Networks
(CNN)
to
analyse
patterns
DC
system's
data.
With
increasing
complexity
interconnectivity
modern
systems,
need
for
advanced
solutions
becomes
crucial.
Cognitive
technology,
known
its
adaptability
learning
capabilities,
offers
promising
avenue
enhancing
performance
reliability
systems.
The
research
employs
comprehensive
approach,
incorporating
data
analysis,
modelling,
simulation
assess
effectiveness
identifying
critical
parameters
system.
aims
contribute
valuable
insights
into
application
services
improving
overall
efficiency
resilience
grids
operating
current,
thereby
fostering
advancements
smart
grid
technologies
The
development
of
one
technology
can
be
portrayed
by
common
methods
like
Gartner’s
hype
cycle
or
S-curve,
however,
there
is
no
method
to
characterize
the
feature
distributions
multiple
technologies
within
a
specific
domain.
This
study
proposes
big
data-based
in
terms
four
proposed
features,
namely
versatility,
significance,
commerciality,
and
disruptiveness,
given
features
are
quantitively
using
representative
keywords
volumes
returned
search
results
from
Google
Scholar
two-dimensional
analytical
spaces
technique
application.
We
demonstrate
applicability
this
452
domain
intelligent
robotics.
our
assessment
indicate
that
versatility
values
normally
distributed,
while
disruptiveness
follow
power-law
distributions,
which
few
possess
higher
values.
also
show
significant
more
likely
commercialized
causing
potential
disruption,
as
such
have
scores
these
features.
Further,
we
validly
prove
robustness
approach
via
comparing
historical
trends
with
literature
characterizing
reduced
spaces.
Our
widely
applied
analyzing
different
domains,
it
potentially
exploited
decisions
investment,
trade,
science
policy.
PLoS ONE,
Год журнала:
2024,
Номер
19(10), С. e0311154 - e0311154
Опубликована: Окт. 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
