Does Multidimensional Urbanization Help Reduce Environmental Pollution?—Evidence from Three Major Urban Agglomerations in the Yangtze River Economic Belt
Sustainability,
Год журнала:
2025,
Номер
17(3), С. 1202 - 1202
Опубликована: Фев. 2, 2025
China’s
rapid
urbanization
has
spurred
economic
growth
and
posed
environmental
challenges.
We
investigate
the
relationship
between
multidimensional
pollution
by
a
fixed
effect
model
based
on
panel
data
of
70
cities
in
three
major
urban
agglomerations
Yangtze
River
Economic
Belt
during
2005–2020.
Overall,
aggravates
then
decreases
agglomerations,
which
is
closely
related
to
control
policies.
Environmental
shows
obvious
spatial
heterogeneities
five
levels
have
been
gradually
changed
from
high-value
low-value
levels.
In
Belt,
dominated
“High–High”
“Low–Low”
clusters.
Among
them,
clusters
move
eastwards,
while
concentrate
southeastwards.
Multidimensional
helps
alleviate
regional
pollution.
Economic,
social,
land
reduces
certain
extent.
Population
non-significant
Social
improved
Chengdu–Chongqing
agglomeration
(CC)
Delta
(YRD),
increased
population
middle
reaches
(MYD)
comprehensive
CC.
Язык: Английский
Spatiotemporal dynamics of urban heat island effect and air pollution in Bengaluru and Hyderabad: implications for sustainable urban development
Discover Sustainability,
Год журнала:
2025,
Номер
6(1)
Опубликована: Фев. 25, 2025
Язык: Английский
Exploring the Impact of Green Finance on Sustainable Rural Development: Evidence From 283 Cities in China
Discrete Dynamics in Nature and Society,
Год журнала:
2025,
Номер
2025(1)
Опубликована: Янв. 1, 2025
Green
finance
is
of
vital
significance
for
global
rural
sustainable
development.
This
paper
aims
to
explore
the
impact
green
on
Based
panel
data
obtained
from
283
prefecture‐level
cities
in
China
over
period
2004
2022,
a
development
indicator
system
was
constructed
under
DPSIR
framework.
By
employing
fixed‐effects
model,
moderation
effect
analysis,
and
spatial
Durbin
role
its
effects
proposed.
The
results
these
analyses
reveal
following:
(1)
Rural
exhibits
cyclical
expansion–contraction
trend;
(2)
promotes
sustainability,
confirmed
by
robustness
checks;
(3)
environmental
regulations
digital
economy
play
positive
moderating
enhancing
development;
(4)
terms
effects,
has
within
region
but
can
exert
negative
spillover
surrounding
regions.
findings,
it
proposed
that
layout
should
be
strengthened,
supervision
enhanced,
promoted.
Such
recommendations
represent
critical
measures
which
serve
as
foundation
stimulate
provide
valuable
references
relevant
policy
formulation.
Язык: Английский
Dual Environmental Regulation and Carbon Emission Reduction in Pig Breeding Industry: Synergistic Effect or Crowding-Out Effect? Evidence from China
Agriculture,
Год журнала:
2025,
Номер
15(7), С. 787 - 787
Опубликована: Апрель 5, 2025
The
prohibition
zone
policy
restricts
certain
activities
in
specific
areas
to
protect
the
environment,
while
emission
permit
allows
companies
trade
emissions
permits
as
a
market-based
approach
regulation.
Can
two
policies
jointly
promote
carbon
reduction
of
pig
breeding
industry
(PBI)?
Based
on
panel
data
31
provinces
and
cities
China
from
2010
2020,
this
paper
adopts
propensity
score
matching
multi-period
difference-in-differences
(PSM-DID)
models
study
impact
dual
PBI.
Our
theoretical
empirical
findings
suggest
that
significantly
reduces
A
mediating
analysis
reveals
industrial
structure
government
penalties
regulate
policy.
Further
shows
play
synergistic
role
Regional
heterogeneity
is
also
explored,
indicating
effect
more
significant
western
China.
Policy
implementers
should
fully
consider
various
policies,
regional
differences,
regulatory
factors,
formulating
complementary
combinations
green
new
quality
productivity
Язык: Английский
Towards Sustainable Development: Ranking of Soil Erosion-Prone Areas Using Morphometric Analysis and Multi-Criteria Decision-Making Techniques
Sustainability,
Год журнала:
2025,
Номер
17(5), С. 2124 - 2124
Опубликована: Март 1, 2025
Sub-watershed
prioritization
using
morphometric
analysis
and
multi-criteria
decision-making
(MCDM)
techniques
is
a
systematic
approach
to
identifying
ranking
sub-watersheds
based
on
their
susceptibility
soil
erosion.
This
helps
in
implementing
targeted
conservation
measures.
In
this
study,
the
Narangi
basin
are
prioritized
by
employing
integrated
with
advanced
MCDM
techniques,
including
additive
ratio
assessment
(ARAS),
complicated
proportional
(COPRAS),
multi-objective
optimization
(MOORA),
technique
for
order
preference
similarity
ideal
solution
(TOPSIS).
Weights
various
methods
determined
criteria
importance
through
an
inter-criteria
correlation
(CRITIC:
method),
while
geospatial
ensure
precise
spatial
analysis.
The
results
provide
unified
of
sub-watersheds,
revealing
that
sub-watershed
3
(SW3)
SW9
high-priority
erosion
category;
SW1,
SW2,
SW5,
SW8
medium-priority;
SW4,
SW6,
SW7,
SW10
low-priority.
comprehensive
sustainability-oriented
equips
decision-makers
robust
tools
identify
manage
at
risk
erosion,
ensuring
long-term
sustainability
land
water
resources.
study
aligns
sustainable
development
goal
15
(life
land)
promotes
use
practices
combat
degradation.
Язык: Английский
Influence of social and economic aspects on end-use energy consumption in Chinese urban households
Energy and Buildings,
Год журнала:
2025,
Номер
unknown, С. 115645 - 115645
Опубликована: Март 1, 2025
Язык: Английский
The Impact and Mechanism of New-Type Urbanization on High-Quality Forestry Development: A Case Study of the Yellow River Basin in China
Diversity,
Год журнала:
2024,
Номер
17(1), С. 7 - 7
Опубликована: Дек. 25, 2024
The
Paris
Agreement
emphasizes
the
critical
role
of
forests
in
addressing
climate
change
and
ecological
protection.
High-quality
forestry
development
is
an
important
aspect
forest
conservation.
As
a
core
strategy
for
China’s
economic
transformation,
new-type
urbanization
increasingly
interacting
with
high-quality
development.
This
study
aims
to
explore
this
relationship
analyze
its
impact
mechanism.
Taking
representative
Yellow
River
Basin
China
as
example,
research
uses
benchmark
regression
model,
mediation
effect
threshold
model
from
2010
2022
quantitatively
on
results
show
that
(1)
has
significantly
promoted
development,
estimated
coefficient
0.325;
(2)
different
regions
exhibits
significant
differences,
return
coefficients
upper,
middle,
lower
reaches
being
0.326,
0.213,
−0.359,
respectively;
(3)
technological
innovation
plays
key
improving
production
efficiency,
resource
diversity,
ecosystem
services,
6.543
innovation;
(4)
greater
government
support,
larger
impact.
p-value
double
0.037.
Accordingly,
achieve
joint
efforts
are
required
at
both
national
regional
levels
promoting
urbanization.
At
level,
specific
areas
should
be
taken
units,
collaborative
plan
formulated
based
land
spatial
planning
system.
clarify
top
policy
objectives,
set
up
special
funds,
establish
long-term
incentives
supervision
mechanisms,
ensure
new
positive
appropriate
innovations
introduced
local
characteristics,
differentiated
policies
promote
region.
Язык: Английский