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NBERWORKINGPAPERSERIESTHERISEOFE-WALLETSANDBUY-NOW-PAY-LATER:PAYMENTCOMPETITION,CREDITEXPANSION,ANDCONSUMERBEHAVIORWenlongBianLinWilliamCongYangJiWorkingPaper31202/papers/w31202NATIONALBUREAUOFECONOMICRESEARCH1050MassachusettsAvenueCambridge,MA02138May2023We
thank
Yiping
Huang
and
Xue
Wang
for
their
feedback
and
generous
help
with
data
access,Ripple’s
University
Blockchain
Research
Initiative
(UBRI)
and
the
FinTech
at
Cornell
Initiativefor
financial
support,
and
Murillo
Campello,
Pulak
Ghosh,
Iftekhar
Hassan,
Yi
Huang,
and
HuanTang
for
detailed
comments.
Rishi
Kumar
provided
excellent
assistance
on
proofreading
themanuscript.
We
gratefully
acknowledge
Yiran
Ning
for
data
processing
assistance.
We
also
thankHuang
Chen,
Shaohua
Chen,
Chidi
Chidambaran,
Jiayin
Hu,
Hao
Liu,
Xiaomeng
Lu,
Cong
Peng,Jason
Schloetzer,
Vicki
Tang,
Hao
Zhang,
Li
Zhou,
Yinggang
Zhou,
as
well
as
conference
andseminar
participants
at
Cornell
University,
Fudan
University
Fanhai
International
School
ofFinance,
Fordham
University
Gabelli
School
of
Business,
Georgetown
University,
9th
GlobalConference
on
Business
Management
and
Social
Science
(GCBMS-2023),
Peking
University,and
Xiamen
University
for
helpful
feedback
and
suggestions.
Due
to
the
tightened
regulation
onInternet
giants
in
China,
the
data
provider
only
permitted
us
to
circulate
the
results
internally(under
the
manuscript
“Demystifying
E-Wallets
and
BNPL”)
from
late
2020
through
late
2022.TheviewsexpressedhereinarethoseoftheauthorsanddonotnecessarilyreflecttheviewsoftheNationalBureauofEconomicResearch.NBER
working
papers
are
circulated
for
discussion
and
comment
purposes.
They
have
not
beenpeer-reviewed
or
been
subject
to
the
review
by
the
NBER
Board
of
Directors
that
accompaniesofficialNBERpublications.?
2023
by
Wenlong
Bian,
Lin
William
Cong,
and
Yang
Ji.
All
rights
reserved.
Short
sections
oftext,
not
to
exceed
two
paragraphs,
may
be
quoted
without
explicit
permission
provided
that
fullcredit,including?notice,isgiventothesource.TheRiseofE-WalletsandBuy-Now-Pay-Later:PaymentCompetition,CreditExpansion,andConsumerBehaviorWenlongBian,LinWilliamCong,andYangJiNBERWorkingPaperNo.31202May2023JELNo.E42,G20,G23,G51ABSTRACTThe
past
decade
has
witnessed
a
phenomenal
rise
of
digital
wallets,
and
the
COVID-19
pandemicfurther
accelerated
their
adoption
globally.
Such
e-wallets
provide
not
only
a
conduit
to
externalbank
accounts
but
also
internal
payment
options,
including
the
ever-popular
Buy-Now-Pay-Later(BNPL).
We
examine,
for
the
first
time,
e-wallet
transactions
matched
with
merchant
andconsumer
information
from
a
world-leading
provider
based
in
China,
with
over
1
billion
usersglobally
and
a
business
model
that
other
e-wallet
providers
quickly
converge
to.
We
documentthat
internal
payment
options,
especially
BNPL,
dominate
both
online
and
on-site
transactions.BNPL
has
greatly
expanded
credit
access
on
the
extensive
margin
through
its
adoption
in
two-sided
payment
markets.
While
BNPL
crowds
out
other
e-wallet
payment
options,
it
expandsFinTech
credit
to
underserved
consumers.
Exploiting
a
randomized
experiment,
we
also
find
thate-wallet
credit
through
BNPL
substantially
boosts
consumer
spending.
Nevertheless,
users,especially
those
relying
on
e-wallets
as
their
sole
credit
source,
carefully
moderate
borrowingwhenincurringinterestcharges.Theinsightslikelyproveinformativeforeconomiestransitioningfrom
cash-heavy
to
cashless
societies
where
digital
payments
and
FinTech
credit
see
the
largestgrowthandmarketpotential.WenlongBianYangJiSungkyunkwanUniversity25-2SungkyunkwanroMyeongnyun3(Sam)Ga-dongJongno-gu,Seoul03063SouthKoreaXiamenUniversityjiyang@brian123@LinWilliamCongSCJohnsonCollegeofBusinessCornellUniversitySageHallIthaca,NY14853andNBERwill.cong@1.
IntroductionE-wallets,
also
known
as
digital
wallets
(which
nest
the
concept
of
mobile
wallets),contain
software
that
enables
users
to
make
payments
on
their
computers
or
mobiledevices
using
linked
bank
cards,
balance
and
savings
accounts
from
wallet
providers,or
new
liquidity
and
credit
products.
The
past
decade
saw
phenomenal
growth
in
theworld-wide
usage
of
PayPal,
Apple
Pay,
the
relaunched
Pay,
and
super
appssuch
as
Pay
and
Alipay.2
The
combination
of
digitalization
and
the
socialdistancing
engendered
by
the
COVID-19pandemic
have
further
acceleratedconsumers’
adoption
of
e-wallets
for
contactless
payments.
A
conservative
estimateprojects
the
total
number
of
e-wallet
users
to
be
over
5.2
billion
globally
in
2026,
upfrom
3.4
billion
in
2022.3
Together
with
the
rise
of
e-wallets
is
the
emergence
ofBuy-Now-Pay-Later
(BNPL),
a
short-term
FinTech
credit
allowing
consumers
todefer
payments
interest
free
into
one
or
a
few
installments
at
the
point
of
sale
andisincreasingly
popular
among
e-wallet
users.
As
a
common
offering
from
leadinge-wallet
providers
around
the
globe,
BNPL
is
projected
to
account
for
$680
billion
inglobaltransactionsby2025.4While
economists
agree
that
the
shift
from
cash
and
bank
cards
toward
e-walletsexerts
a
profound
influence
on
the
real
economy
(Agarwal
et
al.,
2020b,
2022),
littleis
known
about
how
various
payment
options
interact
and
compete
within
e-walletsand
how
BNPL
affects
consumer
credit
provision
and
spending
behavior.
On
onehand,
as
a
conduit
to
linked
bank
cards,
e-wallets
could
reduce
physical-card-carryingcosts
and
alleviate
transaction
frictions
and
costs.
Their
adoption
thus
potentiallybenefits
traditional
financial
intermediaries
(e.g.,
banks)
and
consumers.
On
the
otherhand,
e-wallets
also
offer
their
own
payment
options.
For
example,
PayPal,
a
popular2/gx/en/industries/financial-services/publications/financial-services-in-2025/payments-in-2025.html#macro3,retrievedon
November21,
2022.3
JuniperResearch.
Accessed
from/press/digital-wallet-users-exceed-5bn-globally-2026.4
“Buy
Now
Pay
Later
Digital
Spend,
Led
by
Klarna,
PayPal,
and
Afterpay,
to
Double
by
2025:
Reaching$680Billion,”
Kaleido
Intelligence,
September
2020.
Alipay’s
Huabei,
PayPal
Credit,
and
PayPal
Pay
Later
areexamples
of
this
fast-growing
new
form
of
credit
which
is
typically
embedded
in
e-wallets;
Apple
just
added
inMarch2023,
ApplePay
Later.2e-wallet
in
the
United
States,
provides
several
internal
payment
options
in
addition
toexternal
bank-linked
accounts
or
cards:
PayPal
Balance,
PayPal
Savings,
PayPalCredit,
and
PayPal
Pay
Later.
When
users
choose
these
internal
payment
options,e-wallets
may
circumvent
banks,
thus
cutting
banks
off
from
valuable
informationalsynergybetweenFinTech
lendingandcashlesspayments(Ghosh
et
al.,
2022).
This,
intheory,
can
have
an
ambiguous
effect
on
social
welfare
(Parlour
et
al.,
2022).Moreover,
without
knowing
detailed
transactions
and
user
information,
it
is
unclearwhether
BNPL
as
a
form
of
FinTech
credit
complements
or
substitutes
bank
credit,
acore
issue
pursued
in
the
literature
(Tang,
2019;
Jagtiani
and
Lemieux,
2019;
DiMaggio
and
Yao,
2021),
what
role
it
plays
for
economies
transitioning
from
beingcash-heavy
to
cashless,
and
whether
it
leads
to
excessive
spending
and
indebtedness(Ponce,Seira,
andZamarripa,2017;
Agarwalet
al.,2020b).We
aim
to
bridge
the
knowledge
gap
by
opening
the
black
box
of
e-wallets
thatcontain
multiple
payment
options
and
conducting
the
first
empirical
investigationusing
a
unique
dataset
from
a
representative
e-wallet
provider
based
in
China
that
isalso
a
global
leader
in
the
sector.
We
also
obtain
matched,
transaction-level
data
onBNPL
and
credit
cards,
instead
of
inferring
BNPL
activities
from
bank
transactions
asother
studies
do.
The
sample
covers550,000online
and
550,000on-site
transactionsrandomly
drawn
from
all
transactions
in
June2020.
We
complement
the
e-wallet
databy
randomly
sampling
from
a
two-month
randomized
experiment
conducted
by
thesamee-walletproviderin
June
2017tostudytheimpactofintroducingBNPL
credittoconsumers.Specifically,
we
(i)
describe
the
distribution
of
payment
choices
in
e-wallettransactions
and
how
BNPL
dominates,
(ii)
document
how
BNPL
crowds
out
otherpayment
options
yet
complements
bank
credit
cards
in
payment
applications,
serving
asa
new
digital
cash,
(iii)
analyze
the
expansion
of
e-wallet
credit
through
BNPL
forconsumers
and
regions
underserved
by
banks,
emphasizing
the
adoption
in
two-sidedpayment
networks,
and
(iv)
show
that
in
the
Chinese
context,
BNPL
increasesconsumerspending,but
does
not
lead
togreaterindebtedness.
Inadditiontoproviding3the
first
transaction-level
analysis
of
e-wallets,
we
also
complement
recent
studies
(e.g.,deHaan
et
al.,
2022;
Di
Maggio
et
al.,
2022;
Guttman-Kenney
et
al.,
2023)
to
add
to
thefirst
canon
of
knowledge
about
BNPL
and
the
economic
implications
of
its
meteoricemergence.
Our
study
differs
by
drawing
evidence
from
an
economy
transitioning
frombeing
cash-heavy
to
cashless
and
tying
together
the
payment
and
credit
functions
ine-wallets,
demonstrating
that
BNPL
serves
as
a
“new
cash”
instead
of
being
a
creditcard
competitor
or
consumer
credit
with
negative
welfare
implications,
which
theextant
literature
documents
in
developed
countries.
Furthermore,
we
directly
observeBNPL
transactions
with
rich
consumer
and
merchant
information,
circumventing
anynoisyinferenceofBNPL
activitiesfrombanktransactions.We
start
with
summarizing
stylized
facts
regarding
the
distribution
of
e-walletpayment
options.
Internal
payment
options—particularly
BNPL—have
becomeconsumers’
predominant
way
to
pay,
accounting
for
more
than
half
of
all
transactionsin
our
sample,
whereas
the
most
popular
external
option—linked
debitcards—accounts
for
less
than
one-third.
As
the
internal
options
dominate
in
e-wallettransactions,
the
popularity
of
e-wallets
could
disrupt
traditional
banks’
access
topayment
data
(Ghosh
et
al.,
2022).
Given
how
important
payment
information
anddigital
footprints
are
in
lending
(Agarwal
et
al.,
2020a;
Berg,
Fuster,
and
Puri,
2022),it
is
understandable
that
central
banks
around
the
world
are
looking
into
developingtheir
own
electronic
payment
systems
(EPSs)
or
digital
currencies
to
compete
forpaymentflowswithFinTech
giants(Boarand
Wehrli,
2021).We
next
estimate
a
payment
choice
model
to
look
into
the
impact
of
e-wallet
creditexpansion
on
other
payment
choices
after
accounting
for
a
set
of
typical
factors
such
asconsumerdemographics,paymentpreferences,merchants’
acceptance,and
transactionvalue.
We
find
that
consumer
access
to
e-wallet
credit
crowds
out
the
usage
of
otherpaymentoptionsinboth
on-siteandonlinetransactions.
In
line
with
the
crowding-outeffect,
we
also
find
that
small-value
transactions,
which
form
a
substantial
share
ofpayments
through
the
e-wallet,
are
overwhelmingly
settled
with
e-wallet
credit
throughBNPL.
While
prior
studies
(e.g.,
Klee,
2008)
conclude
that
physical
cash
is
the
main4payment
choice
for
settling
high-frequency
and
small-value
transactions
in
modernsocieties,
we
posit
that
BNPL
is
now
the
most
popular
payment
choice
in
e-wallettransactions
and
hence
serves
as
the
new
digital
cash
in
transitions
to
cashless
societies.Somewhat
counterintuitively,
BNPL
appears
to
complement
bank
credit.
Unlikeprior
studies
that
examine
the
relation
betweenFinTech
lending
and
traditional
lending(e.g.,Jagtiani
and
Lemieux,
2019;
Di
Maggio
and
Yao,
2021),ourstudy
features
dataincluding
borrowers
who
have
access
to
both
e-wallet
credit
and
credit
cards(dual-access
users).
Using
this
subsample,
we
can
rule
out
the
potential
impact
ofborrowers’
unobservable
characteristics.
We
find
that
dual-access
users
use
e-walletcredit
and
credit
cards
in
different
payment
scenarios,
with
e-wallet
credit
for
daily,small-value
transactions
and
credit
cards
for
big-ticket
purchases.
E-wallet
creditservesprimarilyas
apotentialcomplementofcreditcards,not
asubstitute,because
itsadoption
by
users
already
with
credit
cards
increases
the
spending
through
creditcardsas
well.Because
our
dataset
overcomes
the
empirical
challenge
in
the
literatureconcerning
determining
whether
FinTech
credit
users
have
access
to
bank
credit,
wecan
investigate
if
e-wallet
credit
(i.e.,
BNPL)
expands
credit
provision
to
those
withno
prior
credit
access.
We
document
a
substantial
expansion
at
the
extensive
margin.From
the
consumer
side,
84.14%
(78.38%)
of
on-site
(online)
consumers
withoutcredit
card
now
have
access
to
e-wallet
credit;
from
the
merchant
side,
43.54%
ofon-site
merchants
who
do
not
accept
credit
card
payments
now
accept
e-wallet
credit;from
the
transaction
side,
44.37%
(90.21%)
of
on-site
(online)
transactions
thatcannot
be
completed
by
credit
cards
can
now
use
e-wallet
credit
to
complete
thepayment.
The
combination
of
demand
from
consumers
and
merchants
for
BNPL,
andthe
supply
by
the
e-wallet
provider,
has
led
to
the
exponential
growth
of
BNPL
usage.The
impact
of
BNPL
access
on
consumer
credit
usage
also
appears
more
pronouncedin
less-developed
areas
such
as
rural
areas
and
northern
regions
and
for
women.Overall,
the
e-wallet
credit
seems
to
benefit
those
disadvantaged
or
underserved
bybanks.5With
the
wide
use
of
BNPL,
a
potential
concern
is
that
the
ease
and
convenience
ofthisFinTech-basedconsumercredit
mayinduceconsumers,especiallyunsophisticatedones
who
lack
financial
literacy
and
budgeting
education,
to
overborrow
and
overspend(Berg,
Fuster,
and
Puri,
2022;
Bu
et
al.,
2022).
We
exploit
a
two-month
randomizedexperiment
conducted
by
the
e-wallet
provider
in
June
2017to
examine
the
impact
ofthe
introduction
of
BNPL
on
consumer
spending.
For
users
who
were
extended
credit
inthis
experiment,
we
first
document
a
significant
consumption-boosting
effect
consistentwith
that
observed
in
developed
economies
such
as
the
United
States:
an
increaseequivalent
to4.78%
of
the
average
monthly
consumption
as
reported
by
the
NationalBureauofStatisticsofChina.Next,
we
return
to
our
transaction
data
and
analyze
how
consumers
change
theirusage
of
BNPL
when
they
have
unpaid
debt
and
incur
interest
expenses.
Wedistinguish
between
two
types
of
users
according
to
their
credit
access:
single-accessusers
(e-wallet
credit
users
with
no
linked
credit
card),
and
dual-access
users(mentioned
earlier).
While
single-access
users
appear
to
use
e-wallet
credit
morefrequently,
they
use
the
credit
cautiously,
as
the
proportion
of
revolvers
(those
whoincur
interest
charges
on
unpaid
debt)
and
the
unpaid-debt
ratio
for
revolvers
arelower.
They
also
reduce
BNPL
usage
in
transactions
once
they
incur
interest
expensesfrom
late
payments
(which
are
higher
than
the
rates
from
credit
cards),
likely
as
anattempt
to
improve
their
credit
score
and
to
pave
a
pathway
to
bank
credit
access(Agarwal
et
al.,
2021).
To
some
extent,
this
finding
alleviates
our
concern
that
userswho
receive
consumer
credit
for
the
first
time
overuse
e-wallet
credit
due
to
the
lackoffinancialliteracyand
budgetingeducation.Our
findings
have
broad
implications.
First,
given
that
payment
networks
haveconstituted
the
core
productsof
BigTech
giants
and
FinTechstartups,
our
investigationon
the
distribution
of
payment
choices
in
e-wallet
transactions
provides
an
initialbenchmark
for
understanding
their
role
in
large
digital
ecosystems.
Second,
becausee-wallet
providers
have
high-frequency
and
exclusive
data
on
merchants
andconsumers
underserved
by
banks,
discussions
on
“open-FinTech”—in
addition
to
the6“openbanking”proposal—canbetimely.
Third,althoughBNPL
raisesconcernsaboutconsumer
indebtedness
worldwide,
our
study
suggests
that
BNPL
users,
especiallythose
with
no
creditaccessfrombanks,carefullymoderatecreditusage
inan
economytransitioning
from
cash-heavy
to
cashless.
Credit
expansion
through
BNPL
does
notnecessarily
come
at
the
expense
of
greater
consumer
indebtedness
or
default
underinclusive,
ex-ante
screening
and
ex-post
monitoring
and
incentive
provision
of
thee-walletprovider.Our
data
and
the
Chinese
setting
have
several
appealing
features
well-suited
forthe
economic
questions
we
study.
First,
China
is
the
largest
e-wallet
market
in
theworld
and
currently
has
the
largest
number
of
BNPL
users
(Section
2.1
contains
moredetails),
with
mature
mobile
payment
networks.5
Second,
the
e-wallet
functionalityand
BNPL
designin
ourstudyarereasonablyrepresentative,
notonly
in
China
with
itsover
one
billion
users
but
also
on
the
world
stage.
For
example,
the
BNPL
embeddedinthe
e-wallet
we
study
offers
a
revolving
credit
line
and
allows
installment
payments,thus
combining
the
features
of
PayPal
Credit
and
PayPal
Pay
Later,
and
is
similar
toother
major
BNPL
provides
such
as
Affirm
in
terms
of
“Pay-in-4”
(installments)products
and
credit
lines.
Both
the
representativeness
in
terms
of
functionality
and
thefact
that
many
e-wallet
providers
around
the
globe
are
converging
to
the
Chinesemodel
(CFPB,
2022
and
Section
2.1)
enable
our
findings
to
be
useful
for
othere-wallet
and
BNPL
providers,
even
though
many
of
them
startedaspureplay
paymentor
credit
products
(thanks
to
the
low-interest
environments).
Finally,
our
dataset
islikely
the
only
one
in
the
literature
that
allows
direct
observations
of
transactions
ine-wallets
and
involving
BNPL,
covering
both
online
and
on-site
transactions
and
bothmerchant
and
consumer
information,
thanks
to
that
our
e-wallet
provider
has
its
owne-commerceplatformsandQRcoderegistrationsystem.Our
work
relates
to
several
strands
of
literature.
FinTech
firms
typically
start
with5
The
mobile
payment
boomed
early
in
2011
and
the
adoption
among
Chinese
adults
reached
82%
in2017.
Thecoverage
and
usage
had
since
stabilized.
See
/docs/20210421101507614920.pdf
and/goutongjiaoliu/113456/113469/3602384/index.html;accessed
on
August
6,
2022.7payments
and
then
expand
into
lending,
insurance,
investment
products,
etc.
(Frost
etal.,
2019).
However,
the
existing
literature
appears
to
focus
predominately
on
lending,largely
due
to
data
limitations
on
payment
transactions.
As
highlighted
by
Berg,
Fuster,and
Puri
(2022),
payment
data
are
fundamental
for
credit
ratings
in
the
lending
business.Our
studyfocusesonFinTechpayments
and
provides
the
firstempiricaldescriptionona
timely
and
important
issue:
payment
choices
within
e-wallets.6
Although
there
havebeen
payment
surveys
in
advanced
economies
and
numerous
studies
on
(electronic)payment
choices
(e.g.,
Arango
et
al.,
2015;
Koulayev
et
al.,
2016;
Wang
et
al.,
2016;Crouzet,
Gupta,
and
Mezzanotti,
2019;
Agarwal
et
al.,
2020b),
these
surveys
havealwayscategorizede-wallets,
if
atall,asanaggregatecategory.Looking
into
the
blackbox
of
e-wallet
payment
options
is
important
for
understanding
current
changes
inpayment
systemsandevaluating
e-wallets’
economic
impacts.Ouranalysis
of
both
theconsumer
access
to
and
merchant
adoption
of
BNPL
as
a
payment
option
also
adds
tostudies
such
as
Higgins
(2019)
that
analyze
the
coordinated
technology
adoption
intwo-sidedmarkets.We
contribute
to
the
literature
on
FinTech
credit,
especially
the
emergentdiscussions
on
BNPL.
Earlier
studies
focus
on
credit
for
online
merchants,small
firms,and
entrepreneurs
(e.g.,
Huang
et
al.,
2018;
Hau
et
al.,
2019;
Hau
et
al.,
2021),
whereaswe
study
credit
for
consumers
and
households.
Within
this
domain,
marketplacelending
has
been
shrinking
while
BNPL
has
been
growing.
Berg,
Fuster,
and
Puri
(2022)estimate
that
new
lending
in
the
U.S.
marketplace
lending
market
was
$6
billionin2020;
the
U.S.
BNPL
market,
by
contrast,
was
about
$25
billion.
Compared
to
thenumerousstudiesonmarketplacelending(e.g.,Lin,Prabhala,and
Viswanathan,2013;Freedman
and
Jin,
2017;
Jagtiani
and
Lemieux,
2019;
Tang,
2019;
Cong,
Tang,
Xie,and
Miao,
2019),
the
research
on
consumer
FinTech
credit,
particularly
BNPL,
isscarce.6
Hong,
Lu,
and
Pan
(2020)
document
that
repeated
usage
of
digital
payments
through
super-apps
can
help
usersbuildfamiliarityandtrust,therebyincreasingtheirparticipationand
risk-takingin
mutualfundinvestmentsofferedbysuper-apps.8Three
recent
articles
study
BNPL
in
developed
economies
where
credit
cardshave
already
largely
replaced
cash.
Guttman-Kenney
et
al.
(2023)
describe
BNPLusage
in
the
UK,
where
19.5%
of
active
credit
card
users
had
a
transaction
with
aBNPL
firm
on
their
credit
cards
in
2021,
and
young
users
and
those
living
in
deprivedregions
with
limited
repayment
capability
had
an
even
higher
ratio.
deHaan
et
al.(2022)
find
that
BNPL
in
the
United
States
plausibly
has
a
negative
effect
onusers’
spending
habits
and
financial
health.
Similarly,
Di
Maggio
et
al.
(2022)
findthat
BNPL
access
increases
total
spending
and
the
proportion
of
retail
spending
in
theUnited
States,
which
is
better
explained
by
the
“l(fā)iquidity
flypaper
effect.”
Thesestudies
provide
valuable
information,
especially
concerning
time
trends,
on
BNPL,but
have
to
rely
on
bank
and
credit
card
transactions
to
infer
BNPL
activities,
thuscapture
only
transactions
linked
to
banks,
with
limited
matched
merchant
orconsumer
information
and
only
cover
a
small
set
of
pure-play
providers.7
Weinvestigate
theusageofBNPLanditsimpactonconsumerspendingandindebtednessdirectly
using
a
more
comprehensive,
matched,
transaction-level
dataset,
in
a
countrywith
drastically
different
financial
development
and
business
ecosystems,
whilefeaturing
an
equally
important
BNPL
market
and
model
that
many
markets
aroundthe
globe
are
converging
to.
Furthermore,
our
study
also
highlights
the
paymentnatureofBNPLandexamin
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