Politická ekonomie,
Journal Year:
2024,
Volume and Issue:
72(6), P. 985 - 1013
Published: Dec. 12, 2024
This
study
investigates
the
relationship
between
economic
complexity,
globalization,
energy
consumption
patterns
and
CO2
emissions
in
12
energy-importing
emerging
economies
from
1996
to
2020.
Employing
panel
data
analysis,
autoregressive
distributed
lag
(ARDL)
model
is
utilized.
The
findings
reveal
a
U-shaped
complexity
air
pollution,
supporting
environmental
Kuznets
curve
(EKC)
theory.
Renewable
demonstrates
significant
ability
reduce
over
long
term,
while
fossil
fuel
use
exacerbates
degradation.
Economic
globalization
associated
with
increased
emissions,
contradicting
expectations.
short-term
results
align
long-term
findings,
highlighting
country-specific
variations.
policy
implications
highlight
necessity
of
promoting
renewable
adoption
reducing
reliance
on
fuels.
research
contributes
EKC
literature
by
focusing
economies,
emphasizing
importance
multidimensional
analyses
formulation.
underscores
critical
role
investment
carbon
pricing
strategies
mitigating
degradation
encouraging
sustainable
development
pathways.
Sustainability,
Journal Year:
2024,
Volume and Issue:
16(5), P. 2070 - 2070
Published: March 1, 2024
In
recent
years,
China’s
transportation
infrastructure
has
undergone
significant
changes.
High-speed
rail,
as
a
new
and
favored
mode
of
transportation,
offers
travelers
convenience,
efficiency,
punctuality,
replacing
many
high-pollution
methods.
Based
on
the
characteristics
high-speed
this
paper
selects
data
from
30
provinces
spanning
1999
to
2019.
It
utilizes
double-difference
method
evaluate
impact
rail
opening
economic
sustainability.
been
found
that
introduction
contributes
sustainability
during
examination
period.
The
mechanism
test
also
reveals
promotes
green
sustainable
development
through
industrial
agglomeration
effect.
addition,
(HSR)
time
lag
effect
spatial
spillover
development.
conclusion
complements
theoretical
framework
regarding
environment
regional
provides
guidance
for
efficient
utilization
which
holds
both
practical
importance.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: March 19, 2024
Based
on
panel
data
from
210
prefecture-level
cities
in
China
2003
to
2021,
this
study
employs
the
Time-Varying
Differences-in-Differences
(Time-Varying
DID)
approach
systematically
examine
impact
of
smart
city
construction
pollution
emissions
and
its
underlying
mechanisms.
Additionally,
Propensity
Score
Matching-Differences-in-Differences
method
is
employed
for
further
validation.
The
research
findings
indicate
that
Smart
City
Construction
(SCC)
significantly
reduces
urban
Volume
Sewage
Discharge
(VSD),
sulfur
dioxide
(SO2),
Emissions
Fumes
Dust
(EFD),
thereby
mitigating
(PE)
enhancing
environmental
quality.
Mechanism
analysis
reveals
SCC
achieves
these
effects
through
scale
effects,
structural
technological
effects.
heterogeneity
shows
provincial
capital
exhibit
a
stronger
suppression
effect
compared
non-provincial
cities.
Moreover,
with
lower
levels
education
attainment
demonstrate
ability
curb
emissions,
while
larger
more
pronounced
emissions.
marginal
contributions
mainly
consist
three
aspects:
Firstly,
it
enriches
literature
factors
by
assessing,
first
time,
influence
PE.
Secondly,
comprehensive
employed,
integrating
VSD,
EFD,
SO2
data,
economic
at
level.
DID
used
evaluate
policy
SCC.
Finally,
analyzes
mechanisms
various
perspectives.
World,
Journal Year:
2025,
Volume and Issue:
6(1), P. 26 - 26
Published: Feb. 8, 2025
Climate
change
is
one
of
the
greatest
challenges
to
humanity,
with
carbon
dioxide
(CO2)
emissions
being
primary
driver.
This
study
examined
relationship
between
gender
equality,
measured
using
Global
Gender
Gap
Index
(GGGI),
and
CO2
per
capita
across
49
countries
over
a
14-year
period
(2006–2020).
Using
fixed-effects
regression
model,
we
controlled
for
structural,
economic,
policy
variables
including
population
density,
GDP
capita,
urbanization
rate,
energy
use,
stability
democratic
institutions,
environmental
stringency.
Multiple
imputations
were
applied
address
missing
data,
robustness
checks
performed
confirm
validity
findings.
The
results
indicated
that
GGGI
significantly
negatively
associated
(β
=
−0.1403,
p
<
0.001),
suggesting
1%
improvement
in
corresponds
reduction
0.14
metric
tons
capita.
Population
density
use
also
significant
predictors,
whereas
stringency
showed
weaker
or
non-significant
associations.
These
findings
underscore
potential
equality
enhance
sustainability
by
improving
decision-making
processes
implementation.
Science Progress,
Journal Year:
2025,
Volume and Issue:
108(2)
Published: March 31, 2025
Fully
analyzing
the
impact
and
role
of
digital
inclusive
finance
on
improvement
renewable
energy
efficiency
plays
an
important
in
realizing
long-term
sustainable
development
regional
economy.
This
research
undertakes
a
comprehensive
empirical
examination
to
investigate
influence
financial
growth
across
30
Chinese
provinces
cities,
spanning
from
2011
2021.
The
results
demonstrate
that
advancement
significantly
improves
energy.
variations
indicates
while
inclusion
markedly
enhances
both
eastern
western
areas,
its
remains
negligible
central
region.
In
addition,
our
influencing
mechanism
show
progress
science
technology,
alongside
effectiveness
services,
boosts
beneficial
effects
enhancement
efficiency.
Furthermore,
degrees
innovation
technology
services
act
as
singular
threshold
for
Our
study
provides
new
evidence
implications
fully
combination
between
efficiency,
thereby
promoting
development.
Sustainability,
Journal Year:
2025,
Volume and Issue:
17(9), P. 4117 - 4117
Published: May 2, 2025
The
BRICS
countries
(Brazil,
Russia,
India,
China,
and
South
Africa)
are
responsible
for
forty-two
per
cent
of
global
carbon
emissions.
These
rapidly
industrializing
economically
growing
dependent
on
fossil
fuels,
which
can
lead
to
increased
This
research
analyses
the
impact
economic
growth,
globalization,
renewable
energy
(RE)
use
CO2
using
a
unique
dataset
155
observations
practical
model.
Using
panel
data
1990–2020,
this
study
examines
relationships
between
emissions,
GDP,
RE
use,
KOF
Globalization
Index
based
Environmental
Kuznets
Curve
(EKC)
theory.
Cointegration,
unit
root
test,
analysis,
FGLS
regression
methods
were
used
in
study.
results
show
that
growth
globalization
increase
CO2,
while
is
insufficient
reduce
these
effects.
Moreover,
it
determined
has
an
increasing
effect
CO2.
makes
prominent
contribution
literature
by
examining
combined
effects
environmental
sustainability.
findings
emphasize
need
sustainable
policies
countries.
