Financial Literacy, Fintech, and Risky Financial Investment in Urban Households—An Analysis Based on CHFS Data
Linsheng Chen,
No information about this author
Jiao Bai,
No information about this author
Shiwei Xu
No information about this author
et al.
Mathematics,
Journal Year:
2024,
Volume and Issue:
12(21), P. 3393 - 3393
Published: Oct. 30, 2024
In
recent
years,
China’s
financial
markets
have
come
under
increasing
scrutiny.
order
to
explore
the
impact
of
literacy
on
urban
household
investment
in
risk
market,
this
paper
used
micro-data
2019
China
Household
Finance
Survey
(CHFS)
start
from
two
perspectives:
and
number
products,
namely
breadth
investment.
By
constructing
a
probit
model
ordered
for
empirical
analysis,
main
conclusions
are
as
follows.
Benchmark
regression
results
show
that
improvement
can
significantly
promote
households
make
risky
investments
broaden
types
investments.
Based
IV-probit
two-stage
least
square
method,
endogeneity
test
using
economic
information
attention
degree
instrumental
variable
showed
were
credible.
The
robustness
basically
correct.
Furthermore,
mechanism
analysis
found
use
fintech
played
an
intermediary
effect
process
affecting
amount
This
indicates
improve
probability
fintech,
thus
promoting
behavior.
Heterogeneity
based
attitude
had
greater
behavior
risk-inclined
families,
followed
by
risk-neutral
risk-averse
families.
research
practical
significance
solve
problems
related
market
Therefore,
puts
forward
some
suggestions
reference,
especially
terms
education
digital
economy.
Language: Английский
The Urban Renewable Energy Transition: Impact Assessment and Transmission Mechanisms of Climate Policy Uncertainty
Energies,
Journal Year:
2025,
Volume and Issue:
18(8), P. 2089 - 2089
Published: April 18, 2025
The
transition
to
renewable
energy
is
a
critical
pathway
for
achieving
low-carbon
development
and
addressing
global
climate
change
problems.
Therefore,
we
expand
the
conventional
province-level
balance
table
urban
level,
providing
refined
assessment
tool
evaluating
(RET).
This
study
investigates
impact
of
policy
uncertainty
(CPU)
on
RET
explores
underlying
mechanisms.
findings
reveal
that
CPU
significantly
inhibits
RET,
with
this
effect
being
particularly
pronounced
in
non-capital
inland
cities.
mechanisms
through
which
hinders
include
exacerbating
capital
labor
misallocation
suppressing
industrial
structure
upgrading.
Furthermore,
moderation
model
indicates
high-intensity
government
supervision
low
public
environmental
awareness
exacerbate
negative
RET.
Our
provide
governments
adopting
forward-looking
policies
mitigate
adverse
effects
transition.
Language: Английский