PLoS ONE,
Год журнала:
2024,
Номер
19(5), С. e0303200 - e0303200
Опубликована: Май 22, 2024
The
logistics
industry
plays
a
crucial
role
in
facilitating
regional
economic
development.
Serving
as
vital
link
connecting
producers,
consumers,
and
various
components
of
the
supply
chain,
it
has
direct
profound
impact
on
prosperity
advancement
economies.
Based
panel
data
11
provinces
Yangtze
River
Economic
Belt
from
2016
to
2020,
this
paper
constructs
capability
evaluation
index
system
four
aspects:
base,
infrastructure,
development
scale,
information
technology
talent
support,
uses
entropy
weight
TOPSIS
method
measure
each
province.
adjacency
space
matrix,
geographical
distance
matrix
are
selected
build
spatial
econometric
model
analyze
influencing
factors
spillover
effects
capability.
following
conclusions
can
be
drawn
analysis.
From
capacity
shows
trend
increasing
year
by
year,
but
different
within
region
large
room
for
improvement.
perspective
dimension,
is
"high
east
low
west".
results
analysis
based
Durbin
show
that
there
significant
Belt.
Factors
such
road
network
density,
port
throughput,
water
freight
turnover,
transportation,
warehousing
postal
employment
will
not
only
affect
region,
also
have
effect
material
neighboring
This
study
improves
level
promotes
It
used
reference
other
regions
or
countries
terms
enhancing
promoting
Virtual Economics,
Год журнала:
2023,
Номер
6(3), С. 56 - 69
Опубликована: Сен. 30, 2023
Digital
transformation
is
becoming
an
integral
component
of
sustainable
development
for
different
scales
activity:
meta-,
mega-,
macro,
meso-,
and
microlevels.
The
aim
the
article
to
identify
relationship
between
digital
by
characterising
evolution
key
patterns
scientific
publications
on
this
issue.
goal
achieved
forming
a
relevant
sample
articles
based
identification
periods
publication
activity,
as
well
performing
bibliometric
analysis
keywords
coincidence
promising
areas
research
in
area.
On
one
hand,
categories
such
"sustainable
development"
or
"sustainability"
and,
other
describing
transformation.
generated
study
includes
9,527
conference
papers
indexed
metrics
database
Scopus
period
1990-2023.
visualisation
its
results
were
carried
out
using
VOSviewer
software
product.
basis
maps,
five
clusters
identified
characterised
meaningful
stages
evolutionary
issues
digitalisation.
Based
empirical
data,
exponential
growth
number
context
technologies
economic,
environmental
social
sustainability
was
confirmed
(the
annual
increase
topic
36%).
can
be
used
future
related
Sustainable Development,
Год журнала:
2025,
Номер
unknown
Опубликована: Янв. 14, 2025
ABSTRACT
This
study
examines
how
social
investment
and
green
finance
affect
sustainable
development
(SDE)
in
16
emerging
market
economies
from
2014
to
2022.
Truncated
regression,
Prais‐Winsten
single‐equation
instrumental
variables
(IV)
regression
models
were
applied
for
the
empirical
analysis.
The
findings
reveal
that
have
positive
effects,
whereas
poverty
ecological
footprint
negatively
SDE.
Social
reduces
negative
impact
of
on
SDE
by
enhancing
human
reducing
economic
vulnerability,
confirming
moderation
impact.
Juodis‐Karavias‐Sarafidis
(JKS)
panel's
non‐causality
analysis
confirms
causal
relationship
between
variables.
recommends
markets
allocate
more
resources
initiatives
limit
their
consumption
natural
avoid
consequences
a
high
footprint.
implies
doing
going
is
essential
meeting
sustainability
challenges
post‐modern
era
economies.
World Journal of Advanced Research and Reviews,
Год журнала:
2024,
Номер
21(2), С. 1791 - 1801
Опубликована: Фев. 28, 2024
As
the
world
grapples
with
urgent
need
for
sustainable
development,
transition
towards
green
energy
stands
as
a
critical
imperative.
Financing
this
poses
significant
challenges,
requiring
innovative
approaches
that
align
financial
objectives
environmental
sustainability
goals.
This
review
presents
conceptual
framework
leveraging
data-driven
techniques
in
finance
to
facilitate
energy.
The
proposed
integrates
principles
of
advanced
data
analytics
enhance
decision-making
processes
across
ecosystem.
At
its
core,
emphasizes
importance
harnessing
vast
datasets
related
production,
consumption,
impact,
and
performance.
By
machine
learning
algorithms
predictive
modeling
techniques,
stakeholders
can
gain
deeper
insights
into
risks
opportunities
associated
investments.
Key
components
include
collection
aggregation,
risk
assessment,
impact
measurement,
investment
optimization.
Data
sources
range
from
traditional
indicators
metrics,
social
assessments,
geopolitical
factors.
Through
comprehensive
analysis,
institutions
assess
long-term
viability
projects,
while
also
evaluating
potential
impacts.
Risk
assessment
methodologies
within
consider
both
risks,
such
market
volatility
regulatory
uncertainty,
non-financial
climate
change
impacts
community
resilience.
integrating
these
factors
models,
investors
make
more
informed
decisions
mitigate
losses
maximize
returns.
Furthermore,
measurement
tools
enable
quantify
benefits
tracking
metrics
carbon
emissions
reduction,
efficiency
improvements,
job
creation,
contribution
their
portfolios
broader
objectives.
Finally,
incorporates
optimization
strategies
goals
portfolio
diversification,
asset
allocation,
instruments
bonds
investing
funds,
allocate
capital
efficiently
projects.
presented
herein
offers
systematic
approach
practices.
datasets,
drive
simultaneously
achieving
returns
positive
outcomes.
Energies,
Год журнала:
2024,
Номер
17(5), С. 1213 - 1213
Опубликована: Март 3, 2024
The
relentless
advancement
of
digital
technologies
has
the
potential
to
significantly
reshape
energy
landscape
as
become
increasingly
integrated
into
diverse
sectors
economy.
This
study
explores
intricate
relationship
between
digitalization
and
in
EU
countries,
focusing
on
its
direct
indirect
impacts
consumption,
structure,
intensity.
Furthermore,
this
mediating
mechanisms
that
facilitate
these
changes,
including
role
technological
innovation
government
efficiency
outcomes.
Focusing
countries
using
system-GMM
method,
research
accounts
for
heterogeneity
impact
across
various
member
states.
It
examines
varying
effects
different
considering
their
income
levels,
environmental
regulations,
green
investments.
results
demonstrate
strategic
deployment
substantially
benefits
sector.
By
optimizing
consumption
enhancing
structure
through
integration
renewable
sources,
could
move
closer
sustainability
objectives.
Energies,
Год журнала:
2024,
Номер
17(5), С. 1119 - 1119
Опубликована: Фев. 26, 2024
The
spillover
effects
of
climate
change
require
the
exploration
and
implementation
appropriate
ways
to
reduce
ecological
issues
while
simultaneously
maintaining
economic
social
well-being.
expansion
green
energy
allows
for
a
reduction
in
negative
anthropogenic
impact
on
environment
without
restricting
growth
or
welfare.
However,
necessitates
additional
investment.
This
paper
aims
provide
comprehensive
bibliometric
analysis
studies
interactions
between
study
is
based
Preferred
Reporting
Items
Systematic
Reviews
Meta-Analyses
(PRISMA)
guidelines
employs
Scopus
Tools
Analysis
VOSviewer
version
1.6.20
software.
metadata
investigation
were
compiled
from
scientific
databases
Scopus.
findings
allow
identification
most
prolific
countries
authors
their
collaborative
efforts,
which
contribute
theoretical
landscape
also
illustrates
evolution
linkages
Furthermore,
results
enable
core
clusters
investment:
first
cluster
focuses
renewable
sustainable
development;
second
government
energy;
third
investment
as
catalyst
energy.
meta-analysis
facilitate
new
research
areas
related
connection
Energies,
Год журнала:
2024,
Номер
17(12), С. 2837 - 2837
Опубликована: Июнь 8, 2024
This
paper
explores
the
complex
relationship
between
energy
poverty
and
maintenance
of
democratic
values
within
European
Union
(EU),
suggesting
that
not
only
impacts
economic
stability
health
outcomes
but
also
poses
significant
challenges
to
engagement
equity.
To
measure
poverty,
a
composite
index
is
developed
using
entropy
method,
which
surpasses
traditional
measures
focused
solely
on
access
or
its
developmental
implications.
assess
level
governance
in
EU
countries,
voice
accountability
(VEA),
part
World
Governance
Indicators
compiled
by
Bank,
utilized.
By
analyzing
data
from
2006
2022,
findings
suggest
1%
improvement
VEA
quality,
represented
coefficient
0.122,
correlated
with
notable
index.
suggests
should
focus
enhancing
transparency
public
participation
decision-making,
along
ensuring
policy
implementation.
The
research
differentiates
full
flawed
democracies,
noting
tailored
approaches
are
needed.
In
leveraging
prosperity
trade
crucial
due
their
positive
contrast,
more
impactful,
as
evidenced
higher
0.193.
Strengthening
legal
regulatory
frameworks,
improving
could
substantially
mitigate
these
contexts.
addition,
this
demonstrates
influenced
factors
such
income
inequality,
intensity,
openness.
