Assessing socio-ecological fit of international environmental agreements and trade-embodied carbon flows
Environmental Impact Assessment Review,
Journal Year:
2024,
Volume and Issue:
106, P. 107534 - 107534
Published: May 1, 2024
Global
emissions
embodied
in
trade
(EET)
constitute
approximately
one-third
of
total
carbon
emissions.
Although
countries
combat
environmental
impacts
via
international
cooperation,
it
is
unclear
whether
these
social
efforts
fit
the
ecological
challenges.
It
imperative
to
assess
between
agreements
(IEAs)
and
EET.
The
article
constructed
global
social-ecological
networks
during
1995–2021
for
189
countries.
Based
on
assumption
a
Poisson-Binomial
distribution,
were
statistically
verified
by
bipartite
exponential
random
graph
modeling
(ERGM).
To
measure
degree
fit,
tested
quadratic
assignment
procedure
(QAP)
correlation
logistic
regression.
Results:
(1)
Social-ecological
IEAs
EET
decreased
last
27
years
from
0.313
0.138,
with
effect
network
weakened;
(2)
relative
importance
world
contribution
outlines
regional
blocks;
(3)
An
8.681-year
cycle
was
modeled
predicted
future
shared
socioeconomic
pathway
(SSP)
scenarios
until
2050;
(4)
proposed
ERGM-QAP
method
exhibits
computational
advantage,
applicable
other
large-scale
problems.
interpreted
as
efficiency
impact
internalization,
equity
cooperation
effectiveness
human-nature
interactions.
Policy
implications
include
accelerating
IEA
ratification,
establishing
unified
ETS
within
top-contributing
linking
cap-and-trade
systems
issuing
common
credits
internalize
externalities.
Language: Английский
Optimization of social-ecological fit in China's Sousa Chinensis protected areas based on modified Moran's I
Ocean & Coastal Management,
Journal Year:
2024,
Volume and Issue:
255, P. 107234 - 107234
Published: June 22, 2024
Language: Английский
A deep learning classification framework for research methods of marine protected area management
Journal of Environmental Management,
Journal Year:
2024,
Volume and Issue:
368, P. 122228 - 122228
Published: Aug. 24, 2024
The
latest
emerging
transdisciplinary
marine
protected
area
(MPA)
research
scheme
requires
efficient
approaches
for
theoretically
based
and
data-driven
method
integration.
However,
due
to
the
rapid
development
diversification
of
methods,
it
is
growingly
difficult
locate
new
methods
in
methodological
dimensions
integrate
them
utmost
utility.
This
study
proposes
a
deep
learning-based
classification
framework
MPA
management
focused
particularly
on
data
theory
capabilities
using
natural
language
processing
(NLP).
It
extracted
keywords
from
academic
sources
performed
clustering
semantic
similarity,
generating
benchmark
texts
abstract
labeling.
By
training
learning
NLP
model
analyzing
abstracts
9049
empirical
articles
1986
2024,
scores
were
attributed
each
article,
total
19
major
categories
110
segment
branches
identified
qualitative,
quantitative,
mixed
genres.
Combination
types
summarized,
yielding
data-theory
neutralization
principle
where
average
tend
approximate
0.50.
Applying
broadens
traditional
boundaries
integration
extends
synthesis
higher
numbers,
practical
2paradigm
future
research.
Implications
include
bridging
social
ecological
data,
theorizing
emergent
challenges
complex
systems
integrating
construction
science.
applicable
quantification
other
environmental
disciplines
can
serve
as
guidance
multidisciplinary
©
2017
Elsevier
Inc.
All
rights
reserved.
Language: Английский
Visualising Sustainable Development Goals progress of China’s coastal cities using circular-kaleidoscope charts
Regional Studies Regional Science,
Journal Year:
2024,
Volume and Issue:
11(1), P. 474 - 478
Published: Aug. 2, 2024
Cities
are
the
frontiers
of
Sustainable
Development
Goals
(SDGs)
adopted
in
United
Nations
2030
Agenda.
Although
quantitative
methods
have
been
applied
to
assess
cities'
sustainability
progress,
knowledge
gaps
exist
differences
between
inland
and
coastal
performance
their
internal
variations
against
common
standards.
Using
Voronoi-based
kaleidoscope
diagram
embedded
two
circular
plots,
article
visualises
overall
progress
China's
cities
economy,
society,
biosphere
partnership.
By
measuring
with
length
individual
scores
area
size,
triple
inland-coastal
trifold
intracoastal
inequalities
were
highlighted,
as
well
city
types
characterised
by
economy-society
balance
land–sea
relation.
References
for
implementing
sustainable
development
transformations
derived,
along
circular-kaleidoscope
diagram's
potential
checking
pulse
performances
further
uses
finishing
circle.
Language: Английский