Financial Innovation,
Journal Year:
2025,
Volume and Issue:
11(1)
Published: Jan. 8, 2025
Abstract
The
green
credit
policy
(GCP)
is
an
essential
financial
tool
for
solving
the
problem
of
environmental
pollution,
and
urban
energy
conservation
effective
way
to
achieve
goal
carbon
neutrality.
However,
existing
research
has
not
verified
energy-saving
effects
(GC)
at
city
level.
Based
on
panel
data
from
283
cities
in
China,
this
study
aims
investigate
whether
GC
can
effectively
reduce
intensity
(EI),
which
important
complement
research.
In
terms
methods,
better
evaluate
effect
exclude
influence
other
relevant
factors,
considers
promulgation
Green
Credit
Guideline
(GCG)
2012
as
basic
event,
uses
difference-in-differences
(DID)
model
impact
EI,
discusses
main
mechanism.
key
results
are
follows.
(1)
EI.
(2)
Public
demand
positively
regulates
negative
correlation
between
(3)
reduces
EI
through
three
channels:
government
support,
capital
investment,
technological
innovation;
however,
mechanism
industrial
structure
no
significant
effect.
(4)
more
areas
with
large
scales,
low
regulation
intensity,
high
agglomeration.
above
results,
presents
puts
forward
targeted
recommendations
strengthen
role
sustainable
development.
Ecological Indicators,
Journal Year:
2024,
Volume and Issue:
161, P. 111954 - 111954
Published: March 28, 2024
The
coordinated
development
of
urban
competitiveness
(UC)
and
green
total
factor
productivity
(GTFP)
is
paramount
for
achieving
global
sustainable
objectives,
especially
regional
sustainability
in
China.
This
study
utilizes
panel
data
from
2011
to
2019
encompassing
273
Chinese
cities
evaluate
the
index
employing
projection
pursuit
method.
research
categorizes
into
four
regions—East,
Central,
West,
Northeast—for
comparative
analysis
purposes.
findings
unveil:
(1)
a
discernible
rise
both
overall
coordination
between
China;
(2)
throughout
period,
except
fluctuations
observed
Northeastern
China,
other
regions
sustained
relative
stability,
manifesting
trend
divergence-convergence;
(3)
across
all
demonstrated
β-convergence,
with
Central
China
exhibiting
swiftest
convergence
slowest;
(4)
taking
account
factors
such
as
government
intervention,
industrial
structure,
human
capital,
there
likelihood
that
growth
rate
diverse
will
converge
towards
synergistic
trend.
Therefore,
strive
enhance
productivity,
governmental
attention
should
be
directed
discerning
developmental
trends
influencing
affecting
their
coordination.
Such
an
approach
facilitate
realization
objectives
while
propelling
synchronized
advancement
productivity.
Frontiers in Environmental Science,
Journal Year:
2024,
Volume and Issue:
12
Published: March 15, 2024
Carbon
emissions
have
become
a
global
challenge
that
threatens
human
development.
Governments
taken
various
measures
to
reduce
carbon
emissions,
and
green
finance
is
an
important
innovative
way
realize
emission
reductions.
This
paper
uses
data
on
prefecture-level
city
in
China
explore
the
impact
of
intensity
from
both
theoretical
empirical
perspectives,
analyzes
mechanisms
by
which
affects
intensity.
On
this
basis,
further
efficiency.
In
addition,
introduces
variables
related
digital
economy
perform
comprehensive
examination
moderating
effect
development
relationship
between
The
results
indicate
reduces
innovation,
total
factor
productivity
transformation
upgrading
industry
are
mediating
mechanisms.
Meanwhile,
analysis
shows
improves
also
finds
significantly
enhances
role
reducing
promoting
efficiency,
makes
positive
contribution
reduction.
findings
will
contribute
strengthening
government’s
capacity
for
environmental
protection,
developing
finance,
emissions.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Jan. 2, 2024
The
carbon
emissions
trading
system
(CETS)
is
a
helpful
policy
instrument
for
separating
from
economic
expansion,
and
it
significantly
impacts
energy
efficiency
(EE).
This
study
uses
30
Chinese
provinces
2007
to
2020
as
its
research
samples,
classifies
into
single-factor
(SFE)
total-factor
(TFE),
using
the
difference-in-differences
model
examine
effect
mechanism
of
CETS
on
EE.
As
an
additional
tool
assess
efficacy
CETS,
corresponding
evolution
rebound
energy-related
(RECE)
also
calculated.
shows
that
can
improve
EE
in
China's
pilot
provinces.
influence
indicates
influenced
by
level
government
governance,
green
innovation,
industrial
structure
optimization.
Further
finds
after
was
carried
out,
RECE
higher
than
non-pilot
provinces,
31.4%
reduced
improvement
rebounded.
Therefore,
has
yet
realize
full
reduction
potential.
offers
specific
proposals
enhancement
light
aforementioned
findings.
