INNOVATIVE ECONOMY,
Год журнала:
2024,
Номер
unknown, С. 18 - 27
Опубликована: Сен. 1, 2024
Purpose.
The
aim
of
the
article
is
to
study
effectiveness
China's
circular
clusters
as
an
innovative
model
economic
development
in
conditions
global
fragmentation.
Methodology
research.
methodological
basis
based
on
use
general
scientific
methods
that
provide
a
comprehensive
approach
China
and
their
role
In
particular,
used
induction
deduction
collect,
systematize
analyze
data,
which
helped
identify
trends
cause-and-effect
relationships
clusters.
Analysis
synthesis
were
key
formation
economy,
allows
us
determine
specifics
its
impact
sustainability
resource
efficiency
industrial
regions.
abstract
logical
method
generalize
information
from
various
sources
create
holistic
understanding
problem
formulate
theoretical
conclusions.
comparative
allowed
comparing
Chinese
with
similar
structures
other
countries,
identifying
main
areas
implementation
practices,
establishing
self-sufficiency.
tabular
graphical
visualize
statistical
data
order
highlight
patterns
development.
Findings.
It
established
have
become
effective
tool
for
increasing
environmental
responsibility,
especially
context
shown
investing
infrastructure
closed
production
cycles,
example,
leading
are
implementing
integrated
waste
collection
recycling
systems
can
significantly
reduce
volume
waste.
considered
experience
valuable
countries
want
minimize
footprint
improve
sustainability.
proved
be
powerful
strategy
reducing
fragmentation
strengthening
resilience
systems,
making
them
less
dependent
external
factors.
Originality.
how
dependence
imported
resources,
important
light
constraints
market
A
methodology
assessing
performance
analysis
conservation
reduction
developed,
provides
new
contribution
such
sustainable
structured
benchmarking
proposed,
aspects
this
adapted
by
countries.
reveals
strengthen
competitive
advantages
markets
optimizing
costs
creating
environmentally
friendly
products,
export-oriented
economies.
Practical
value.
proposed
recommendations
test
developing
results
may
useful
companies
focused
international
markets,
technologies
becoming
significant
factor
competitiveness.
Key
words:
clusters,
benchmarking,
fragmentation,
development,
disintegration,
models,
cluster
strategies,
transformation.
Urban
non-point
source
(NPS)
pollution
is
an
important
risk
factor
that
leads
to
the
deterioration
of
urban
water
quality,
affects
human
health,
and
destroys
ecological
balance
environment.
Reasonable
prevention
control
NPS
are
conducive
reducing
cost
management.
Therefore,
based
on
theory
“source–sink”
in
landscape
ecology,
combined
with
minimum
cumulative
resistance
(MCR)
model,
this
study
considered
influence
geographic-environment
factors
Shenyang’s
built-up
area
pollutants
process
entering
body
under
action
surface
runoff,
evaluated
its
risk.
The
results
indicated
highest
loads
generated
by
road
surfaces.
High-density
residential
zones
industrial
main
sources
pollution.
Impervious
ratios
patch
density
were
dominant
environmental
affecting
pollutant
transport,
contributions
56%
40%,
respectively.
transport
significantly
positively
correlated
distance
from
bodies
roads.
Higher
areas
mainly
concentrated
center
roads
near
Hun
River.
Green
spaces,
business
zones,
public
service
development
educational
demonstrate
average
index
values,
exceeding
29.
In
contrast,
preservation
showed
lowest
(7.3).
Compared
traditional
method,
method
proposed
could
accurately
estimate
provide
a
new
reference
for
assessments
Sustainability,
Год журнала:
2025,
Номер
17(9), С. 4147 - 4147
Опубликована: Май 3, 2025
Considering
the
environmental
objectives
assumed
by
European
Commission
through
Cohesion
Policy,
main
aim
of
this
study
is
to
check
stability
relationship
between
economic
growth,
GHG
emissions,
and
energy
consumption,
also
known
as
3E
relationship,
which
allows
us
recreate
EU
policy
recommendations.
The
analysis
member
states
using
panel
data
time
series
(1990–2023)
showed
significant
shifts
in
three
variables,
especially
due
COVID-19
pandemic.
Consequently,
many
countries
successfully
decoupled
emissions
from
growth.
Nevertheless,
persistent
carbon-intensive
use
patterns
most
remain
a
major
obstacle,
emphasizing
need
for
increased
efforts
cleaner
technologies
sustainable
transitions.
Environmental Technology,
Год журнала:
2024,
Номер
unknown, С. 1 - 14
Опубликована: Июль 7, 2024
Crude
oil
spills
significantly
impact
aquatic
ecosystems,
necessitating
innovative
remediation
strategies.
Microalgae-based
bioremediation,
particularly
with
Chlorella
vulgaris,
offers
a
promising
solution.
This
study
introduces
novel
framework
that
evaluates
the
combined
effects
of
selected
environmental
stressors
on
microalgal
adaptability,
advancing
beyond
traditional
isolated
factor
analyses.
By
integrating
factorial
experimental
design
machine
learning
approach
using
PyCaret
AutoML
and
SHAP
values,
we
provide
detailed
examination
how
crude
concentration,
salinity,
exposure
duration
affect
C.
vulgaris
growth.
The
Extra
Trees
Regressor
model
emerged
as
highly
accurate
in
predicting
biomass
crucial
adaptability
indicator,
achieving
an
MAE
0.0202,
RMSE
0.029,
R²
0.8875.
analysis
highlighted
salinity
significant
growth
influencers,
playing
minor
role.
Notably,
exhibited
more
sensitivity
to
than
oil,
indicating
potential
high-salinity
challenges
but
also
strong
tolerance
pollutants.
These
findings
enhance
our
understanding
responses
polluted
environments
suggest
improved
bioremediation
approaches
for
saline
waters
affected
by
spills,
leveraging
synergy
factors
insights.
