This
paper
aims
to
explore
the
impact
of
green
finance
on
scale
real
economy
in
China,
measurement
methods
for
efficiency
serving
economy,
regional
trends
and
their
influencing
factors.The
study
is
based
panel
data
covering
30
provinces
(municipalities
autonomous
regions)
from
2011
2020.At
level,
conducts
a
baseline
regression,
examines
reliability
conclusions
through
robustness
tests
investigates
spatial
differences
heterogeneity.
Ecological Indicators,
Год журнала:
2024,
Номер
159, С. 111728 - 111728
Опубликована: Фев. 1, 2024
Promoting
high-quality
development
of
logistics
industry
(LHQD)
becomes
imperative
to
decrease
costs
in
real
economy
and
intensify
endogenous
power
economic
development.
In
this
paper,
we
construct
an
evaluation
system
consisting
21
indicators
four
dimensions:
output
scale,
operation
quality,
social
contribution
green
Thereafter,
apply
improved
entropy
weight
method,
kernel
density
estimation
Dagum
Gini
coefficient
carve
out
spatial
temporal
distribution,
dynamic
evolution
regional
differences
LHQD.
Finally,
adopt
geographical
weighted
regression
(GTWR)
model
reveal
heterogeneous
effect
each
selected
factor
on
Outcome
indicates:
(1)
The
level
LHQD
rose
at
average
annual
growth
rate
2.776%
between
2004
2018,
however
with
significant
inter-provincial
differences.
(2)
the
whole
nation
three
major
regions
were
bipolar
or
multipolar,
distinctive
gradient
characteristics.
(3)
overall
difference
primarily
came
from
deviation
among
regions,
kept
expanding.
(4)
impact
various
factors
was
characterized
by
heterogeneity.
Specifically,
positive
innovation
capacity,
digitalization
level,
foreign
direct
investment,
transportation
infrastructure
environmental
regulation
gradually
increased
time.
It
stronger
for
eastern
region
than
western
region.
contrast,
industrial
agglomeration's
stimulus
had
diminished,
high-value
its
shifted
east
center.
Ecological Indicators,
Год журнала:
2024,
Номер
160, С. 111773 - 111773
Опубликована: Фев. 23, 2024
Ecological
safety
evaluation
is
a
key
tool
that
reflects
changes
in
the
quality
of
ecological
environment
and
provides
scientific
basis
for
land
use
policies
construction.
This
study
used
Changbaishan
region
as
area,
selected
23
indicators
from
natural
socioeconomic
aspects,
adopted
Driving
Force-Pressure-State-Impact-Response-Management
(DPSIRM)
model,
hierarchical
analysis
entropy
value
methods
to
determine
weights
comprehensively
evaluate
security
wetlands.
The
results
showed
increased
0.1754
0.2933
1990–2020
Changbai
Mountains
moving
critical
state
state.
was
lower
center
higher
east,
north,
southwest.
In
addition,
wetlands
north
recovered
faster.
During
period,
driver,
response,
management
indices
increased,
whereas
pressure,
state,
impact
were
relatively
stable.
Mountain
has
achieved
success
wetland
management,
education,
environmental
protection
expenditure,
compensation,
protection;
however,
rational
planning
still
needed
urbanization,
construction
development,
tourism.
Heliyon,
Год журнала:
2024,
Номер
10(14), С. e33970 - e33970
Опубликована: Июль 1, 2024
This
study
empirically
examines
the
influence
of
tourism
development,
renewable
energy
and
green
finance
(GF)
on
high-quality
economic
development.
Using
data
from
33
years
in
China
1990
to
2022,
this
applies
Gregory
Hansen
analysis
investigate
relationships
between
development
(TD),
(RE),
finance,
(HQED),
accepts
a
Spatial
auto
regressive.
demonstrates
that
plays
crucial
role
promoting
growth
by
positively
impacting
all
three
its
components.
Moreover,
utilization
further
enhances
beneficial
promotion
superior
(EG),
while
also
correlation
foreign
direct
investment
(FDI)
growth.
Our
suggests
policy
recommendations
for
policymakers
based
these
findings.
These
include
strengthening
integration
with
GF,
establishing
an
environmental
disclosure
framework
oversee
local
governments
enhancing
effectiveness
implementing
medium-
long-term
favorable
policies
as
external
intervention
strategy
encourage
private
sector.
Humanities and Social Sciences Communications,
Год журнала:
2024,
Номер
11(1)
Опубликована: Июнь 24, 2024
Abstract
River
basin
cities
are
areas
with
remarkable
conflicts
between
the
human
activity
and
ecological
environment.
They
also
important
targets
for
policy
implementation
of
sustainable
high-quality
development
(HD)
in
various
countries
around
world.
This
article
exploits
panel
data
99
located
Yellow
Basin
(YRB)
from
2006
to
2019
empirically
analyze
spatial
effect
financial
growth
on
HD.
Spatial
weights
participated
econometric
models
utilized
this
effect.
Empirical
results
reveal
that:
(1)
HD
YRB
shows
a
strong
positive
autocorrelation.
(2)
Financial
exerts
an
N-shaped
curve
long-term
perspective.
When
influence
spills
out
surroundings,
it
exhibits
inverted
U-shaped
characteristic.
(3)
Green
innovation
can
be
intermediary
factor
(4)
The
appears
stronger
regions
higher
economic
levels,
where
effects
transmitted
surrounding
regions.
However,
backward
low-economy
prevents
spillover
effects.
study
instrumental
formulate
policies
that
aim
promote
river
cities.
This
research
investigates
the
potential
relationships
between
green
total
factor
productivity
(GTFP),
digital
economy
(DEI),
and
energy
transition
(ETI).
Employing
a
Moments
Quantile
Regression
(MMQR)
model,
study
analyzes
asymmetric
effects
of
GTFP
DEI
on
ETI
in
276
Chinese
cities
from
2007
to
2019.
The
MMQR
results
suggest
that
exhibit
positive
association
with
across
all
quantiles
distribution.
strengthens
at
higher
quantiles,
suggesting
their
reinforcing
roles
facilitating
China's
towards
renewable
sources,
away
fossil
fuels.
Additionally,
technological
innovation,
economic
development
levels,
FDI,
urbanization
demonstrate
quantiles.
Conversely,
industrialization
natural
resources
negative
highlighting
energy-intensive
nature
industrial
sector.
Moreover,
policy
makers
should
focus
strengthening
environmental
regulations,
promoting
R&D,
adopting
clean
technologies,
investing
infrastructure,
forging
public-private
partnerships
concurrently
improve
economy.
These
measures
can
accelerate
by
increasing
efficiency.
Sustainability,
Год журнала:
2025,
Номер
17(2), С. 568 - 568
Опубликована: Янв. 13, 2025
This
study
explores
how
Myanmar’s
sustainable
business
environment
influences
entrepreneurs’
performance,
focusing
on
the
mediating
role
of
knowledge
spillover
effects
foreign
direct
investment
(KFDI).
Data
were
gathered
from
308
entrepreneurs
across
micro,
small,
medium,
and
large
enterprises
in
Myanmar
using
online
surveys
via
Google
Forms
Microsoft
Forms.
The
analysis
employed
partial
least
squares
structural
equation
modeling
(PLS-SEM)
with
SPSS
29
SmartPLS
4.
results
reveal
that
(i)
economic
exerts
a
substantial
positive
influence
performance;
(ii)
access
to
credit
social
show
no
discernible
impact
(iii)
both
environments
positively
KFDI;
(iv)
has
effect
(v)
KFDI
partially
mediates
relationship
between
performance
while
fully
performance.
However,
does
not
mediate
These
findings
underscore
critical
enhancing
attracting
firms.
Policymakers
should
prioritize
these
dimensions
foster
growth,
maximize
KFDI,
support
long-term
entrepreneurial
success.
approach
will
only
ensure
vitality
ecosystem
but
also
contribute
broader
environmental
sustainability.
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Апрель 12, 2025
High-quality
development
(HQD)
and
ecosystem
service
value
(ESV)
are
among
the
most
prominent
topics
in
China
today.
Understanding
dynamic
coupling
coordination
relationship
between
HQD
ESV
is
significant
for
achieving
global
urban
sustainability
goals.
This
study
breaks
traditional
paradigm
of
economic
ecological
research.
By
measuring
292
Chinese
cities
from
2000
to
2021,
we
construct
a
degree
(CCD)
model
profoundly
investigate
changes,
coordination,
underlying
reasons
theoretical
spatiotemporal
perspectives.
The
results
indicate
that:
(1)
has
undergone
phased
changes
shown
improvement,
with
evident
agglomeration
characteristics
centered
around
clusters.
(2)
distribution
characteristic
cities:
low
eastern
coastal
areas
high
inland
areas,
which
negatively
correlated
GDP.
(3)
CCD
exhibits
clear
trend.
Spatially,
relatively
lower
higher
northeastern
southwestern
cities.
(4)
combining
spatial
autocorrelation
results,
classified
into
four
categories:
Green
innovation,
resource
optimization,
potential,
protection.
