E3S Web of Conferences,
Год журнала:
2024,
Номер
529, С. 03014 - 03014
Опубликована: Янв. 1, 2024
This
review
paper
explores
the
impact
of
air
pollution
on
human
health,
focusing
indoor
and
outdoor
quality.
It
highlights
importance
pollutants
like
particulate
matter,
nitrogen
dioxide,
sulfur
volatile
organic
compounds,
which
contribute
to
diseases
lung
cancer,
heart
disease,
respiratory
issues.
The
also
examines
sources
types
pollutants,
including
industrial
activities,
transportation,
natural
events.
presents
a
comparative
analysis
quality
issues
across
different
regions,
highlighting
complexities
severity
pollution.
control
technologies
for
industry
transport,
innovative
approaches
hydrogen
fuel
utilization
intelligent
transportation
systems.
discusses
influence
regulatory
standards
environmental
challenges
posed
by
regional
differences.
aims
ongoing
discourse
management
encourages
development
more
robust
measures.
Energy Economics,
Год журнала:
2024,
Номер
136, С. 107704 - 107704
Опубликована: Июнь 15, 2024
This
is
the
first
article
to
demonstrate
negative
impact
of
air
pollution
as
an
informal
institution
on
firms'
ESG
scores
with
listed
manufacturing
firms
in
China
from
2010
2020.
It
based
causal
attribution
theory
and
risk
perception
theory.
We
argue
that,
under
current
rating
system,
issues
may
be
overly
attributed
firms,
resulting
decreased
scores.
find
that
when
PM2.5
concentration
increases
by
1
μg/m3,
decrease
roughly
0.3
points.
These
results
remained
significant
after
a
series
robustness
tests
instrumental
variable
regressions.
heavily
polluting
industries
are
almost
twice
affected
those
non-heavily
industries.
The
labor-intensive
also
significantly
higher
than
capital-intensive
firms.
State-owned
large-scale
less
private
or
small
show
information
asymmetry
important
influencing
mechanism.
Firms
can
reduce
influence
through
active
disclosure
external
media
reports.
note
increasing
firm
survival
risks.
Our
enrich
literature
contribute
understanding
institutions
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Авг. 2, 2024
With
the
ongoing
challenge
of
air
pollution
posing
serious
health
and
environmental
threats,
particularly
in
rapidly
industrializing
regions,
accurate
forecasting
effective
pollutant
identification
are
crucial
for
enhancing
public
ecological
stability.
This
study
aimed
to
optimize
quality
management
through
prediction
Air
Quality
Index
(AQI)
pollutants.
Our
spans
nine
representative
cities
(Hohhot,
Yinchuan,
Lanzhou,
Beijing,
Taiyuan,
Xi'an,
Shanghai,
Nanjing,
Wuhan)
China,
with
data
collected
from
January
1,
2015,
November
30,
2021.
We
proposed
a
new
model
daily
AQI
prediction,
termed
VMD-CSA-CNN-LSTM,
which
employed
advanced
machine
learning
techniques,
including
convolutional
neural
networks
(CNN)
long
short-term
memory
(LSTM)
networks,
leveraged
chameleon
swarm
algorithm
(CSA)
hyperparameter
optimization,
integrated
variational
mode
decomposition
approach.
The
was
developed
using
split
ratio
8:1:1
into
training,
validation,
test
sets,
achieving
an
RMSE
2.25,
MAPE
0.02,
adjusted
R-squared
98.91%,
training
efficiency
5.31%.
further
externally
validated
other
eight
cities,
yielding
comparable
results,
above
96%,
below
0.1,
7.5.
Additionally,
we
random
forest
identify
primary
pollutants
contributing
levels.
results
indicated
that
PM2.5
most
significant
while
PM10
dominant
Hohhot,
Lanzhou.
In
Wuhan,
both
were
critical,
ozone
also
identified
as
major
pollutant.
not
only
advances
predictive
accuracy
models
but
aids
policymakers
by
providing
reliable
tool
strategic
planning
at
reduction.
integration
these
computational
techniques
monitoring
practices
offers
promising
avenue
mitigating
pollution-related
risks.
International Journal of Geriatric Psychiatry,
Год журнала:
2025,
Номер
40(5)
Опубликована: Апрель 25, 2025
ABSTRACT
Background
Rapid
urbanization
in
China
has
raised
significant
public
health
concerns,
particularly
regarding
residents'
physical
and
mental
well‐being.
Effective
interventions
are
urgently
needed
to
address
these
issues.
Objective
This
study
evaluates
the
impact
of
China's
Healthy
City
Pilot
Policy
(HCPP),
introduced
2016,
on
improving
outcomes
examines
demographic
differences
mechanisms
driving
effects.
Methods
Using
data
from
Health
Retirement
Longitudinal
Study
(CHARLS)
2011
2020,
a
difference‐in‐differences
(DID)
approach
was
employed,
along
with
propensity
score
matching
(PSM‐DID),
placebo
tests,
sensitivity
analyses
for
robust
results.
Results
The
HCPP
significantly
enhanced
pilot
cities,
leading
better
self‐rated
health,
lower
medical
expenses,
higher
life
satisfaction,
reduced
depression.
These
benefits
were
most
pronounced
among
elderly,
women,
less‐educated
individuals,
residents
rural
central‐western
regions.
Key
included
increased
exercise,
social
activities,
improved
air
quality.
Conclusion
positively
impacts
urban
especially
vulnerable
groups,
highlighting
urgent
need
integrate
considerations
into
planning
providing
valuable
insights
future
policy
development.
Regional science and environmental economics,
Год журнала:
2025,
Номер
2(2), С. 13 - 13
Опубликована: Май 21, 2025
With
the
rapid
development
of
China’s
economy,
resource
consumption
and
environmental
pollution
have
become
challenges
faced
by
China
in
its
process.
In
order
to
effectively
achieve
a
balance
between
economic
ecological
protection,
Chinese
government
has
successively
introduced
strategies
for
environment
construction.
However,
how
scientifically
evaluate
quality
regional
environments,
analyze
related
impacts,
promote
national
governance
always
been
difficult
reach
consensus
continues
receive
attention
from
academic
community.
This
paper
sorts
through
research
recent
years
about
assessments
summarize
current
assessment
methods
dimensions
China,
as
well
impact
terms
evaluation
methods,
this
analyzes
applicability
limitations
mainstream
methods.
dimensions,
summarizes
results
different
dimensions.
construction,
elaborates
on
three
aspects
influencing
factors,
effects
method
analysis.
Based
above
analysis,
finally
proposes
that
focus
future
should
be
digital
analysis
quality,
so
provide
more
scientific
accurate
support
governance.
This
study
aims
to
examine
the
current
policy
documents
on
building
healthy
cities
in
China.
will
provide
ideas
for
improving
these
policies
and
fostering
growth
of
cities.
The
NVivo
software
was
used
analyze
tools
construction
areas
city
development.
Policy
urban
development
issued
by
central
government
authorities
from
2009
2023
were
selected.
Demand,
supply,
environmental
three
categories
recognized
instruments.
Health
services,
health
environment,
culture,
society,
people
are
five
pillars
a
city.
paper
analyzes
China
two
dimensions.
tool
is
X-axis,
field
Y-axis.
Regarding
dimension
instruments,
supply-based
most
frequently,
at
62.9%.
Environmental
implemented
26.5%
time
conjunction
with
economic
policies.
Following
this,
demand-based
have
frequency
10.6%.
From
perspective
two-dimensional
shapes
instruments
domains,
each
fields
focuses
using
results
show
that
China's
use
mix
manage
demand.
Most
based
high
levels
involvement.
However,
more
needed.
They
encourage
individuals,
families,
communities,
social
groups
participate
freely
process.
In
future,
combination
can
be
quickly
adjusted
enhance
effectiveness
implementation.
At
national
level,
strong
commitment
made
promote
across
different
sectors
needs
evenly
distributed.
It
must
acknowledged
enhancing
efficiency
requires
further
investigation.
revised.
Differences
understanding
may
lead
results,
thus
affecting
recommendations.