Understanding how climate preferences, environmental policy stringency, and energy policy uncertainty shape renewable energy investments in Germany
Clean Technologies and Environmental Policy,
Год журнала:
2024,
Номер
26(12), С. 4483 - 4503
Опубликована: Май 17, 2024
Язык: Английский
Application of the Circular Economy in Research in the Agri-Food Supply Chain: Bibliometric, Network, and Content Analysis
Sustainability,
Год журнала:
2025,
Номер
17(5), С. 1899 - 1899
Опубликована: Фев. 24, 2025
The
agri-food
supply
chain
(AFSC)
is
vital
to
ensure
global
food
security.
It
faces
significant
environmental
and
economic
challenges,
requiring
the
adoption
of
circular
economy
(CE)
principles
enhance
sustainability
resource
efficiency.
This
article
presents
a
bibliometric
analysis
162
Web
Science
(WoS)
Scopus
documents
from
2017
2024,
focusing
on
contributions
leading
authors
countries
regarding
CE
application
in
AFSCs.
Using
bibliometrix
R-Tool
Version
4.3.2
VOSviewer
1.6.20,
we
identified
key
topics,
such
as
“Transforming
Agriculture
through
Innovation
Sustainability
Supply
Chain”
“Implementation
Circular
Economy
Framework
Agricultural
Chains”.
We
also
pinpointed
outdated
oversaturated
research
topics
while
proposing
emerging
subjects
based
multiple
analyses
scientific
literature
corpus
(title,
abstract,
keywords).
Finally,
combined
bibliometric,
network,
content
provided
comprehensive
“big
picture”
AFSC,
guiding
future
projects
research.
Язык: Английский
RESEARCH AND DEVELOPMENT, ECONOMIC GROWTH, CO2 EMISSIONS AND ENVIRONMENTAL KUZNETS CURVE
Sustainable Futures,
Год журнала:
2025,
Номер
unknown, С. 100541 - 100541
Опубликована: Март 1, 2025
Язык: Английский
Unleashing ChatGPT: Revolutionizing Business Strategies in Saudi Arabia’s Financial Landscape
Management,
Год журнала:
2024,
Номер
3, С. 143 - 143
Опубликована: Дек. 8, 2024
Introduction:
ChatGPT
in
Saudi
Arabia’s
financial
sector
revolutionizes
business
strategies,
enhancing
innovation,
streamlining
decision-making,
and
empowering
organizations
to
thrive
a
competitive,
rapidly
evolving
economic
landscape
with
Artificial
Intelligence
AI-driven
insights.Objective:
The
main
objective
of
this
study
is
determine
the
interplay
between
training
data
bias,
AI
model
fine-tuning,
metrics,
assessment
methodologies,
usage
markets
Arabia.
Methods:
Participants
are
from
banking
industry
gathered
Jeddah,
Riyadh,
Makkah,
Madina
region
collected
through
online
survey
via
questionnaires.
research
used
random
sampling
procedure,
selecting
sample
size
323
participants.
This
chose
reliability
analysis,
factor
correlation
analysis
regression
analysis.Results:
shows
that
constructs
highly
consistent
one
another.
Regression
ChatGPT,
Training
Data
&
Bias,
Metrics
Evaluation
have
positive
significant
effect
on
strategies
Arabia
(P<0.05).
While
not
statistically
(P>0.05).
Язык: Английский
Assessment of European countries’ national circular economy policies
Journal of Environmental Management,
Год журнала:
2024,
Номер
373, С. 123835 - 123835
Опубликована: Дек. 28, 2024
The
circular
economy
(CE)
has
become
key
to
achieving
the
environmental
objectives
set
by
European
Union
(EU).
This
transformative
process
requires
linear
production
processes
be
abandoned
and
replaced
with
environmentally-friendly
models.
In
this
scenario,
present
study
uses
Data
Envelopment
Analysis
Sequential
Malmquist
Index
achieve
a
twofold
objective:
(1)
analyse
effectiveness
of
national
CE
policies
applied
19
EU
Member
States
(2)
identify
items
circularity
that
need
improvement,
in
order
support
decision-makers
implementation
appropriate
policies.
results
confirm
measures
adopted
have
had
positive
impact,
leading
more
efficient
patterns
designed
desired
climate
neutrality.
Policymakers
should
focus
on
resilience
international
cooperation,
without
overlooking
sustainability
control
excessive
resource
extraction.
Язык: Английский