Financing the future: insights into sustainable energy investments through scientific mapping and meta-analysis
Discover Sustainability,
Год журнала:
2025,
Номер
6(1)
Опубликована: Янв. 16, 2025
This
study
presents
a
detailed
literature
review
on
financing
for
renewable
and
sustainable
energy
through
bibliometric
analysis
scientific
mapping,
utilizing
the
Scopus
database
from
2000
to
2023.
Using
network
techniques,
it
identifies
eight
main
clusters,
each
focusing
different
aspects
of
their
geographic
technical
contexts.
The
highlights
most
frequently
cited
articles,
notable
authors,
key
institutions,
affiliations,
journals
in
finance.
A
random
effects
model
meta-analysis
was
also
conducted
assess
overall
effect
size
research
stream.
Findings
indicate
that
finance
has
expanded
since
exhibits
considerable
diversity.
pinpoints
five
major
themes
suitable
discussion
exploration
new
questions:
(i)
role
Fintech
finance,
(ii)
regulatory
framework
governing
(iii)
economic
feasibility
emerging
markets,
(iv)
influence
private
public
development,
(v)
relationship
between
development
goals.
insights
this
aim
inspire
equip
readers
as
they
embark
inquiries
into
connections
investment,
policy,
behavioral
sciences.
Following
identifying
gaps,
paper
outlines
potential
future
directions.
It
serves
thorough
resource
current
trends
investments
recommends
viable
topics,
thus
benefiting
researchers,
professionals,
policymakers
alike.
Язык: Английский
Investigating the impact of GDP, energy mix, energy intensity, and the service sector on environmental pollution in MENA countries: An application of Driscoll-Kraay standard error approach
Social Sciences & Humanities Open,
Год журнала:
2024,
Номер
10, С. 101087 - 101087
Опубликована: Янв. 1, 2024
The
goal
of
this
study
is
to
explore
the
stochastic
impacts
population,
GDP,
renewable
energy,
fossil
fuels,
energy
intensity,
and
service
sector
on
environmental
pollution
through
regression
analysis.
To
achieve
goal,
employed
Driscoll-Kraay
standard
error
approach
for
"Middle
East
North
African
(MENA)"
countries.
assured
a
balanced
panel
data
from
1997
2021
applied
STIRPAT
model
test
which
variables
are
responsible
in
MENA
region.
study's
findings
show
that
factors
such
as
population
size,
gross
domestic
product,
use
intensity
all
contribute
pollution.
On
other
hand,
using
strengthening
can
reduce
long-term
have
proposed
various
policy
implications
countries
pollution,
including
carbon
greenhouse
gas
(GHG)
emission
mitigation,
considering
sustainable
development
goals
7
13.
Язык: Английский