Coupling Coordination Evaluation and Optimization of Water–Energy–Food System in the Yellow River Basin for Sustainable Development
Systems,
Год журнала:
2025,
Номер
13(4), С. 278 - 278
Опубликована: Апрель 10, 2025
Understanding
the
coupling
mechanisms
and
coordinated
development
dynamics
of
water–energy–food
(WEF)
system
is
crucial
for
sustainable
river
basin
development.
This
study
focuses
on
Yellow
River
Basin,
conducting
a
comprehensive
analysis
system’s
influencing
factors.
A
structured
evaluation
framework
established,
integrating
entropy
weight–TOPSIS
method,
coordination
degree
model,
spatial
correlation
analysis.
Empirical
conducted
using
data
from
nine
provinces
(regions)
along
2003
to
2022
assess
spatiotemporal
evolution
level.
The
Tobit
regression
model
employed
quantify
impact
various
factors
degree.
Results
indicate
that
index
WEF
in
Basin
exhibits
an
overall
upward
trend,
with
remaining
at
high
level
extended
period,
up
0.231
0.375.
interdependence
among
three
major
systems
strong
(0.881–0.939),
while
has
increased
over
time
despite
fluctuations,
qualitative
leap
not
yet
been
achieved.
follows
distribution
pattern
midstream
>
downstream
upstream,
characterized
by
predominantly
However,
frequently
remains
forced
or
below,
general
trend
upstream.
From
2008,
positive
autocorrelation
was
observed
across
provinces,
indicating
agglomeration
effect.
By
2022,
most
were
clustered
“high-high”
“low-low”
areas,
reflecting
minimal
regional
differences.
Key
positively
include
economic
levels,
industrial
structure
upgrading,
urbanization,
transportation
networks,
technological
innovation
negatively
affects
coordination.
Based
these
findings,
it
recommended
strengthen
balanced
development,
optimize
layout
structures,
improve
inter-regional
resource
circulation
mechanism,
promote
deep
integration
production
practices
address
bottlenecks
hindering
system.
Policy
recommendations
are
proposed
provide
strategic
references
socioeconomic
thereby
achieving
high-quality
growth
region.
Язык: Английский
Efficiency of National Governance in Managing Long-Term Greenhouse Gas Emission Reduction in the Agricultural Sector Towards the Thailand 5.0 Goal
Sustainability,
Год журнала:
2025,
Номер
17(9), С. 3959 - 3959
Опубликована: Апрель 28, 2025
This
study
aimed
to
develop
a
strategic
management
model
for
the
agricultural
sector
effectively
reduce
greenhouse
gas
emissions
in
future,
primarily
focusing
on
increasing
waste.
was
built
upon
known
as
Path
Analysis
with
Simultaneous
Equation
System
based
Full
Information
Maximum-Likelihood
(Path-SFIML)
Model,
which
has
been
thoroughly
validated
its
validity,
measurement
of
fit,
and
absence
spurious
results.
The
findings
revealed
that
environmental
is
low
capacity
readjust
equilibrium,
requiring
thousands
years
recover.
Therefore,
this
proposes
new
policy
scenario
urgent
national
through
planning.
Based
research
results,
key
indicators
identified
planning
include
clean
technology,
waste
biomass,
organic
treatments,
renewable
energy.
These
must
be
prioritized
manage
increase
demonstrates
implementing
these
measures
would
growth
rate
30.38%
(2037/2018)
decrease
36.20%
(2037/2018).
rates
remain
within
safety
threshold,
set
at
1302
Gg
CO2e.
also
derived
guidelines
from
stakeholders
enhance
dissemination
address
gaps
quantitative
research,
enabling
more
appropriate
strategy
formulation.
It
found
approach
defining
suitable
but
requires
improvements
criminal
law,
administrative
law
ensure
they
are
relevant
enforceable
present
context.
Hence,
20
Year
National
Strategy
urgently
adopt
critical
tool
decision-making
achieve
sustainable
green
goals.
Язык: Английский