Sustainable Development of the Infrastructure of the City of Astana Since the Establishment of the Capital as a Factor of Tourism Development
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(24), P. 10931 - 10931
Published: Dec. 13, 2024
The
underdevelopment
of
tourism
infrastructure
remains
a
critical
barrier
to
the
growth
sector
in
both
capital
and
regional
areas.
This
article
examines
concept
structure
infrastructure,
synthesizes
methodological
approaches
for
its
evaluation,
identifies
strengths
limitations
these
approaches.
study
introduces
novel
methodology
assessing
development
city.
Based
on
assessment,
city’s
regions
are
categorized
into
four
levels
development:
high,
above
average,
below
average.
findings
highlight
key
factors
driving
obstacles
limiting
progress,
while
also
proposing
strategic
directions
enhancement.
Achieving
optimal
provision
is
identified
as
crucial
condition
advancing
sector.
should
be
prioritized
economic
policy.
In
line
with
state’s
“Concept
Development
Tourism
Industry
Republic
Kazakhstan
2023–2029”,
this
emphasizes
need
streamlined
precise
classification
components
based
comprehensive
framework.
evaluation
conducted
using
an
integrated
indicator
that
captures
level
elements:
accommodation
international
event
venues,
access
leisure
entertainment.
Additionally,
provides
comparative
analysis
current
state
relative
early
stages
capital’s
tracks
dynamics
indicators
from
2010
2024.
Several
interrelated
challenges
affecting
have
been
identified.
Notably,
reveals
hosting
events
forums
has
significantly
boosted
inbound
compared
averages
Kazakhstan,
although
it
constrained
potential
business
other
regions.
practical
insights
derived
offer
understanding
Astana,
which
can
inform
future
research
policy
major
urban
Language: Английский
Green development in the Chengdu-Chongqing economic zone: evolution and drivers from a “production-living-ecology” perspective
Frontiers in Environmental Science,
Journal Year:
2024,
Volume and Issue:
12
Published: Dec. 18, 2024
Green
development
is
key
to
promoting
regional
sustainable
development.
We
construct
an
evaluation
index
system
for
green
levels
based
on
the
“sansheng”
dimensions—production,
living,
and
ecology.
rely
(production,
ecology)
dimensions,
combined
with
analytic
hierarchy
process
(AHP)
entropy
weight
method
analyze
indicator
weights,
levels.
This
enables
identification
of
evolution
patterns
analysis
driving
factors
in
Chengdu-Chongqing
economic
zone
from
perspective.
The
results
indicate
that:
(1)
level
Economic
Zone
has
been
continuously
rising,
average
increasing
0.197
0.254.
Yuzhong
District
Chengdu
City
have
shown
particularly
high
levels;
2020,
reached
0.568,
while
City’s
0.522.
(2)
spatial
clustering
exhibited
a
trend
first
strengthening
then
weakening,
highest
degree
observed
2015.
(3)
National
strategies
significantly
promoted
improvement
during
pre-establishment,
initial
development,
rapid
stages
increased
0.205
0.229,
(4)
Theil
show
increase
disparity
among
different
regions
within
Zone.The
optimal
scaling
regression
model
that
significant
impact
include
Number
physicians
per
million
people,
Public
library
book
collections
Per
100
capita
GDP,
secondary
schools
each
contributing
over
15%
impact.
These
findings
provide
valuable
data
support
formulating
are
conducive
advancing
Language: Английский
The Synergistic Evolution Characteristics and Influencing Factors of Tourism Economy and Urban Green Development Efficiency in the Yellow River Basin
Weimin Gong,
No information about this author
Chengxin Wang,
No information about this author
Dan Men
No information about this author
et al.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(19), P. 8519 - 8519
Published: Sept. 30, 2024
In
the
context
of
“ecological
priority
and
green
development”
strategy,
examining
co-evolution
between
tourism
economy
efficiency
urban
development
can
offer
both
theoretical
insights
quantitative
foundations
to
support
ecological
preservation
high-quality
in
China’s
Yellow
River
Basin.
This
research
utilized
approaches
such
as
Haken
model
geographically
temporally
weighted
regression
investigate
spatiotemporal
patterns,
synergistic
characteristics,
driving
factors
within
The
findings
reveal
following:
(1)
Regional
disparities
are
progressively
widening,
whereas
tends
decline.
Furthermore,
display
“high-high
clustering”
“low-low
spatially.
(2)
evolution
two
systems
displays
spatial
characteristics
transitioning
from
polarization
trickle-down
effects.
(3)
Natural
topography
vegetation
coverage,
well
human
economic
like
industrial
structure
degree
openness,
positively
promote
synergy.
However,
elements
temperature,
precipitation,
level,
openness
innovation
have
a
certain
inhibitory
effect
on
evolution.
Language: Английский