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AsiaCreditAlpha
ChinaProperty:Couldthehousingtrade-inschemehelpdigestexcess
FOCUS
AsiaCreditStrategy
AvantiSave,CFA
+6563083116
avanti.save@BarclaysBank,Singapore
YiminWeng,CFA
+6563082716
yimin.weng@BarclaysBank,Singapore
SarahBeh
+6563085087
sarahemi.beh@BarclaysBank,Singapore
AsiaCreditResearch
JitMingTan,CFA
+6563083210
jitming.tan@BarclaysBank,Singapore
RoannaChau
+85229032625
cheukyan.chau@BarclaysBank,HongKong
WilsonHo,CFA
WBARCLAYS
FICCResearch
CreditResearch
9May2024
inventory?
Weexpectall-inyield-focuseddemandandtechnicalsfrombondredemptions,couponsandLMEstocontinuetoanchorspreadsatcurrentlevels.WepreferBBBsandidiosyncraticopportunitiesinHY(Bs/CCCs).InourFocus,wetakeacloserlookatChinapropertyinventories.
AsiaCreditAlpha
Overview........................................................2
TechnicalsforMayareuneven,butweexpectspreadstoremainaroundcurrentlevels.We
preferaddingtopositionsviaidiosyncraticopportunitiesandselectlaggards.
Focus
ChinaProperty:Couldthehousingtrade-inschemehelpdigestexcess
inventory? 4
Wethinkthegovernmentneedstostep-upsupportmeasuresforthesectortoturntheL-shaped
bottomintoanL-shapedrecovery.
+85229032656
wilson.ho@BarclaysBank,HongKong
ImtiazShefuddin
+6563084906
imtiaz.shefuddin@BarclaysBank,Singapore
Thisdocumentisintendedforinstitutionalinvestorsandisnotsubjecttoallofthe
independenceanddisclosurestandardsapplicabletodebtresearchreportspreparedforretail
investorsunderU.S.FINRARule2242.Barclaystradesthesecuritiescoveredinthisreportforits
ownaccountandonadiscretionarybasisonbehalfofcertainclients.Suchtradinginterests
maybecontrarytotherecommendationsofferedinthisreport.
Pleaseseeanalystcertificationsandimportantdisclosuresbeginningonpage
15
.
Completed:09-May-24,10:10GMTReleased:09-May-24,10:20GMTRestricted-External
9May2024
3
Barclays|AsiaCreditAlpha:ChinaProperty:Couldthehousingtrade-inschemehelpdigestexcessinventory?
performancehasbeenmixed.Theperformancelikelyprovidesindicationofpositioning:moderate/nothighcashbalancesorpositioningthatisnotlight.
FIGURE3.Bondmaturities,redemptionsandcoupons(USDmn)
30,000
25,000
20,000
15,000
10,000
5,000
0
Jan
FebMarApr
Datedmaturities
Jul
Jun
May
CallsfromFinancials
AugSep
LME
OctNovDec
Coupons
Source:Bloomberg,BarclaysResearch
PreferBBBsandidiosyncraticopportunitiesinHY(Bs/CCCs).CreditspreadshavetradedinaverynarrowrangedespitethemacrovolatilityinApril.Webelievethisreflectsdemandfromall-inyield-focuseddemandandaconsistentanchorfrombondredemptions,couponsand
liability-managementexercises.Assuch,anddespitetheslightlyuneventechnicalsinMay,wecontinuetobelievespreadswillremaintightaroundcurrentlevels.
•WeseeChinaAMCsinagoodspotastheoverhangfromthedelayinthereleaseofGreat
Wall'sfinancialresultshasbeenremoved.Weexpecttheirconstructivemomentumto
continueandrecentlyassessedthesectorforpotentialspreadcompression(seeChinaAMCs:ExpectcompressiontoSOEs,3May2024).
•ThehighgradeIndonesiasegmenthaslaggedinApril2024andhadthelowestexcessreturninAsiaHighGrade.Wethinkcurrentvaluationsoffergoodentrypointsandopportunitiesforswitchesthattakeoutcash,whichwefindattractivegivenamutedbondmaturityand
redemptionprofilewithinAsiacreditinMay(seeAsiacreditstrategy:Relvalideasanddislocations,8May2024).
•OurMacaugaminganalystalsohighlightedthepotentialroomforthespreaddifferentialbetweenSTCITYandMPELtoconverge,followingMPEL'srecentoutperformance(seeMelcoResorts:AddnewMelco'32satUW,7May2024).
•IntheIndiacreditcomplex,ouranalysthighlightedtheimprovingcredittrajectoryatBHARTI,notingthatitshealthyFCFcouldresultinsurpluscash,whichcouldbeusedtoreducedebt(BhartiAirtel:Cuttingdebt,7May2024).
RemaincautiousaboutacallingabottomintheChinapropertysector.SentimenttowarddevelopersimprovedafterthePolitburosignaledmoresupportforthesector,includingstepstohandleexcessinventory.However,whileabigcorrectionmayhavepassed,wedonotyetsee
thelightattheendofthetunnel,withsummersalesinJulypossiblyrecordinganother
downturninviewofcautioussentimentthatlingersamonghomebuyers.Thatsaid,housingvouchersandatrade-inprogramme(ie,swappingoldhomesfornewones)maygenerateincrementaldemand(seeChinaProperty:Sightonsite:BeijingandYangtzeRiverDelta:
Searchingforabottom,6May2024).
Focus
ChinaProperty:Couldthehousingtrade-inschemehelpdigestexcess
CORE
AsiaCreditResearch
WilsonHo,CFA
+85229032656
wilson.ho@BarclaysBank,HongKong
WBARCLAYS
FICCResearch
CreditResearch
9May2024
inventory?
Wethinkthegovernmentneedstostep-upsupportmeasures
forthesectortoturntheL-shapedbottomintoanL-shapedrecovery.
AswenotedinourSightonSitereportdetailingourChinatripinApril1,wethinkrecentpolicyproposalsforhousingvouchersandatrade-inprogramme(ie,swappingoldhomesfornew
ones)couldgenerateincrementalhousingdemandgiventheunprecedentedstructuralchangesinthepropertymarket.
Digestinghousinginventorymovesuptheagenda
•ArecentPolitburomeetinghasfuelledrenewedoptimismtowardsthepropertysectorafteritcalledfornewsupply-sidereformstodigesttheexcesslevelsofhousinginventory2.This
newssuggestspolicymakersaresteppinguptheireffortstoreversetheprotractedpropertydowncycle.
•Perouranalysis,43outofChina's80majorcitiescouldfacebansonlandsalesbasedonthespecificcriteriasetoutbytheMinistryofResourcestocontrollandsupply.
•Forthepastthreeyears,thesizeofnewstartshasbeensmallerthantheamountof
residentialGFAsold,whichisencouragingsignthattheoverhangofhousinginventoryisslowlybeingdigested.
•However,thesamecannotbesaidforundevelopedlandreserves,wheretheoverallofsizeoflandparcelssoldbutwhereconstructionhasnotcommencedhaskeptincreasing,perour
calculation.
Assessingpotentialimpactofthehousingtrade-inscheme
•Webelievethepropertytrade-inschemecouldhelpstabiliselocalpropertymarketsifitisexecutedeffectively,withpolicycontinuity,althoughitssuccesscouldbeconstrainedbythefinancialstrengthoftherelevantlocalgovernments.
°Toconsiderthepotentialimpactofthescheme,wehaveanalysedthedetailsannouncedbytheZhengzhouandWuhanlocalgovernments.Fromthis,weestimatethatthetrade-inschemecouldgenerateextrademand,whichisequivalentashighasof6-13%oflocalnewhomesales(byvolume)in2023.
1ChinaProperty:Sightonsite:BeijingandYangtzeRiverDelta:Searchingforabottom,6May2024
2PolitburoProposalsSparkOptimisminChina’sTroubledPropertyMarket,TheDiplomat,6May2024
9May20244
9May2024
5
Barclays|AsiaCreditAlpha:ChinaProperty:Couldthehousingtrade-inschemehelpdigestexcessinventory?
°Thiscompareswiththeimpactoftheshantytownredevelopmentduring2015-2019,whichaccountedfor10-20%ofChina'snationalpropertysalesvolumes,asperourestimates.
°However,localgovernments'fiscalburdenwouldbehugeifcashpaymentisadopted,althoughitcouldbemitigatedbyhousingvouchersorsomenon-cashmethods.
•Whilethebiggestpartofthepropertymarketcorrectionmayhavepassed,wedonotyetseelightattheendofthetunnel,withariskthatthestartofthesummersalesfromJulycouldrecordanotherdownturn.Hence,weremaincautiousaboutacallingabottominthe
propertysector.
•However,thankstoalowbasefromlastyear,weforecastthatthey/ydeclineindevelopers'contractedsaleswillnarrowduringtherestoftheyear–toc.30%in2Q24and15-20%in
2H24,comparedwiththe50%dropin1Q24.
•Anystabilisationinthemarketwilllargelydependonseveralfactors,includingthepaceofinventorydigestion,marketconfidencenormalisation,policymeasuresandfundingsupport,inourview.Giventhestilluncertainoutlook,wethinkthegovernmentneedstostep-upitspolicysupporteffortstoturntheL-shapedbottomintoanL-shapedrecovery.
DeveloperswithlargeexposuresinT1/2citiessettobemoreresilient
•Basedonouranalysis,performingdevelopersaswellasSOEdevelopersgenerallyhavemorelandbankinChina's21megaandlargecities(mostlyT1/2cities),andarelikelytobebetterpositionedforstabilisationofthepropertymarket,whichweexpecttobebeledbyhigher-tiercities.
°Intermsofindividualdevelopers,ShuiOnLandhasthebiggestlandbankexposuretothese21cities(100%).
°ThisisfollowedbyChinaOverseasLand,YuexiuPropertiesandGemdale,withmorethan70%oftheirlandbanks(byGFA)locatedinthese21cities.
°Forthesame,ChinaVanke(49%)hasamarginallyhigherlandbankexposurethanLongfor(46%).
°Amongtheotherperformingnames,Seazen(25%)andAgile(24%)areleastexposedtothesecities.
Assessingthelevelofhousinginventoryfrommultipleperspectives
Politburomeetingcallsformeasurestodigesthousinginventory
Inouropinion,thePolitburo'scallforplanstoreducethesizeofthecountry'shousing
inventory3andtheMinistryofNaturalResources'latestpolicytorestrictcitieswithhigh
housinginventorylevelsfromconductinglandsales4representstepped-upeffortstoreversetheprotractedproperty-sectordowncycle.Nonetheless,executionofsuchpolicieswillremainkeyandweexpectfurthersupportmeasures,includingfinancialaidandtherelaxationof
rules,aheadofthelong-awaitedanddelayedThirdPlenuminJuly.
3PolitburoSaysChinatoStudyPlanstoDigestHomeStockpile,Bloomberg,30April20244ChinaBansCitieswithBigHomeStockpilesFromNewLandSales,Bloomberg,1May2024
9May2024
6
2010.03
2010.08
2011.01
2011.06
2011.11
2012.04
2012.09
2013.02
2013.07
2013.12
2014.05
2014.10
2015.03
2015.08
2016.01
2016.06
2016.11
2017.04
2017.09
2018.02
2018.07
2018.12
2019.05
2019.10
2020.03
2020.08
2021.01
2021.06
2021.11
2022.04
2022.09
2023.02
2023.07
2023.12
Barclays|AsiaCreditAlpha:ChinaProperty:Couldthehousingtrade-inschemehelpdigestexcessinventory?
Quicktake–43outof80majorcitiescouldfacebansonlandsales
Thegovernmenthasnotprovidedalistofcitiesthatcouldbebannedfromconductinglandsalesoranyestimatesoftheirhousinginventorylevels.Despitethis,weattempttocalculateandidentifythepotentialcitieswithhighresidentialinventorylevels(notedbelow),basedontheiraveragesalesvolumesoverthepastthreemonthsandCRICinventorydata.
•BytheendofMarch2024,theaverageresidentialinventoryof80cities(Figure2)stoodat33monthsofsales(versushistoricalaverageof14months).
•Residentialinventorywas25monthsforthefourT1cities(versushistoricalaverageof13months),29monthsforthe15majorT2cities(14months),35monthsforthe25majorT3cities(14months)and41monthsforthe36majorT4cities(17months).
•Ofthe80majorcities,43haveresidentialinventorylevelsofmorethan36months,whichwethinkputsthematriskofabanonlandsales.Moreover,inventoriesin28ofthosecitiesareintherangeof18-36months,whichmeanstheyareatriskoflandsalescontrols,basedonthecriteriaannouncedbytheMinistryofNaturalResourcestorestrictlandsales(fordetails:
ChinaProperty:Sightonsite:BeijingandYangtzeRiverDelta,6May2024).
°Basedonourcalculations,mostofcitieswithhighinventoriesareTier3and4cities,withafewTier2cities,includingDalian,Shenyang,Nanjing,Fuzhou,withmorethan36monthsofinventory.
°Ontheotherhand,inventory-turnovertimeinsomeTier1cities,includingBeijing,
GuangzhouandShenzhen,hassurgedtomorethan18monthsduetoweaknessinlandsales,whichsuggeststhatlandsalesinthesecitiescouldbecontrolledinlinewiththepaceofinventoryclearance.
°Wenotethatourestimatesofinventoryturnoverarehighlysensitivetotheperiodofaveragesalesvolumesused,whichcouldbedistortedbyfactorssuchasseasonality.
FIGURE1.Residentialinventoryin80citiessurgedtorecordhighof33.3monthsasattheendofMarch2024
#ofmonths
33.3months
mnsqm
35.030.025.020.015.010.05.0
0.0
25.7months
23.7months
19.7months
20.6months20.3months
19.4months
11.2months
10.6months
8.1months
8.5months8.6months
600
500
400
300
200
100
0
#ofmonthsofinventory(LHS)ResidentialGFAavailableforsale(RHS)
Source:CRIC,BarclaysResearch
Notableprogressindigestinghousingstocks,butlesseffectonoverallinventory
Weanalysethepaceofhousinginventorydigestionfromtwoperspectives:
1)projectbacklogs(ie,propertyprojectswithconstructionalreadystarted);and
9May2024
7
(337)
2023
693
1,030
2023
1,349
954
395
Barclays|AsiaCreditAlpha:ChinaProperty:Couldthehousingtrade-inschemehelpdigestexcessinventory?
2)undevelopedlandreserves(ie,propertyprojectswithlandsitesacquiredbutconstructionnotyetstarted).
Wefoundthatthedigestionofthebacklogofpropertyinventoryisprogressingslowly.As
shownin
Figure2
,ineachofthethreeyearsfrom2021to2023,theamountofresidentialGFAsoldexceededtheGFAofnewstartsatresidentialprojects,whichreversedthepriortrendof
newstartsbeinglargerthanGFAsold.Thissuggeststhatthebacklogofpropertyprojects,eitherunderconstructionorcompleted,hasbeenshrinking.Webelievethisismainlyattributabletodevelopers'exertingstricterdisciplineonnewstarts,increasingprojectdevelopmentefficiency,andreducinginefficientdevelopmentcapexgiventhemarketdownturnandgovernment's
strongpolicyexecutiontoensurehousingdelivery.
Ontheotherhand,thesamecannotbesaidforthedigestionofundevelopedlandreserves.Asshownin
Figure3
,ineachofthe10yearsfrom2014to2023,theamountoflandsales(inGFA)hasexceededthesizeofprojectnewstartsbyvaryingmagnitudes.Thissuggeststherearestillmanylandsitesthathavebeensold,butremainundeveloped.
•In2020,theyearbeforethepropertycrisisbegan,nearly3bnsqminGFAofresidentialandcommerciallandsitesweresoldbutonly2.2bnofnewstartswererecorded,equivalentto730mnsqmofundevelopedlandreserves.
•Thisgapcontinuedinthefollowingyears,suggestinganunchangedtrendofincreasingundevelopedlandreserves.
•Asdiscussedinpriorreports5,marketsharegainsbySOEdevelopersandgreater
participationinthesectorbyLFGVsandnewparticipantshaveledtosignificantchangestothelandmarketaswellasunprecedentedchangesintherealestatesector
ecosystem.Hence,wethinktheconversionoflandpurchasesintonewstartsaswellaseffectivenewsaleableresourceshavebecomelessefficient.
FIGURE2.GapbetweenresidentialnewstartsandresidentialGFAsold(ie,propertysalesvolume)
FIGURE3.Gapbetweenlandsalesandpropertynewstarts(ie,constructioncommencement)
Residentialnewstart
Residential
GFAsold
Gap
A
B
A-B
2014
624
625
1,249
Nationallandsalevolume
Newstart
Gap
A
B
A-B
2014
1,796
149
1,945
2015
728
339
2015
2,090
1,545
545
1,067
20161,15999116820161,8621,669192
2017
1,102
179
2017
2,085
1,787
298
1,281
20181,5341,26427020182,5592,093466
2019
1,394
280
2019
2,624
2,272
352
1,675
20201,6431,5469820202,9752,244730
2021
1,464
1,627
2021
2,323
1,989
334
(164)
2022
881
1,167
(286)
Note:OnlydataforresidentialGFAisusedforabettercomparison
Source:NBS,BarclaysResearch
2022
1,683
477
1,206
Note:DataforresidentialandcommercialGFAisusedforabettercomparison
Source:CREIS,NBS,BarclaysResearch
5ChinaProperty:Whensupportmeasuresfail,6July2023
9May2024
8
21megaand50Non-50largecities
2009
2010
2011
2012
2013
2014
2015
2016
2017
2018
2019
2020
2021
2022
2023
Tier1Tier2Tier3OthersNational21cities
Barclays|AsiaCreditAlpha:ChinaProperty:Couldthehousingtrade-inschemehelpdigestexcessinventory?
Landmarketcorrectiondone?
AccordingtotheChinaIndexAcademy,landsalesvolumesrecordedathirdconsecutiveyearofdeclinein2023,withafallof20%y/yto1.3bnsqminGFAsold.Althoughthedeclinewas
smallerthanthatin2022,theamountoflandsoldrepresentedonly45%ofthepriorpeakin
2020.Thecorrectionalsoappearstobelargerthanthatinthepriorcycle;landsalesin2016
wereequivalentto54%ofthesameinthepriorpeakin2013.Whiletheworstoftheproperty
marketcorrectionislikelybehindus,wethinkanystabilisationinthelandmarketwillbe
largelydependentontheprogressofinventorydigestion,aswellasfurtherpolicymeasuresandfundingsupport.
FIGURE4.Chinalandsalesthroughauctionmarkets(GFA,mnsqm)
Tier1Tier2Tier3OthersNational
4cities15cities24cities
49
55
51
36
56
43
reformto
41
reduceland
supply
648
290
2,624
2,975
2,323
1,683
1,349
Downturn
340
269
265
Amassiveincreaseinlandsupplyafter2009
795
3,474
2,559
2,615
125
161
2,718
2,770
1,475
1,484
1,439
1,436
810
484
59
386
1,946
1,978
1,664
1,698
1,905
1,272
1,043
1,252
1,024
2,165
2,236
338
386
805
57
252
204
161
228
160
174
938
1,514
1,819
1,878
1,844
1,727
1,761
324
294
757
325
316
308
290
726
669
716
670
457
445
411
325
377
438
Asupply-side
450
834
426
788
450
443
426
423
431
324
225
167
168
119
190
186
2,090
2,085
1,448
1,411
1,862
1,945
27
42
39
43
38
26
534
596
513
302
351
345
252
226
258
291
296
287
257
182
Note:Residentialandcommerciallandsite
Source:CREIS,BarclaysResearch
FIGURE5.Comparisonoflandsalesdeclines(inGFA)-landsalesin2023only45%ofthatinthepriorpeakin2020
21megaand
50Non-50largecities
2013
Vsprior
peak
2014
-29%
-48%
-30%
-23%
-30%
-30%
-48%
-44%
-30%
2015
-44%
-39%
-44%
-26%
-41%
-51%
-39%
-40%
-44%
2016
-44%
-47%
-45%
-52%
-42%
-47%
-47%
-46%
-45%
2020
Vsprior
peak
2021
-26%-20%-22%-3%-14%-35%-21%-22%-22%
-47%
-42%
-49%
-35%
-43%
-43%
-43%
-49%
2022
-47%
2023
-60%-53%-62%-55%-60%-58%-53%-55%-62%
Source:CREIS,BarclaysResearch
9May2024
9
Barclays|AsiaCreditAlpha:ChinaProperty:Couldthehousingtrade-inschemehelpdigestexcessinventory?
Assessinghousing-voucherandpropertytrade-inscheme
AccordingtotheChinaIndexAcademy,asat6May2024,over50citiesinChinahaveannouncedmeasuresinvolvingthetrade-inofresidentialpropertyunits,inwhichexistinghomeownersareabletoswaptheircurrentpropertyunitsintonewpropertyunits.
Recently,someTier1citeshavealsofollowedsuit,withbothShanghaiandShenzhen
introducingsimilarpropertytrade-inrelatedpolicies.Accordingtomediareports6,the
GuangzhouHousingAssociationisalsointalkwithdevelopersregardingtheproperty"trade-in"scheme.Weexpectmorecitiestointroducesimilarsupportingpoliciesin2024tohelpto
stimulatedemandforhousingupgradesandreplacements.
Withreferencetotheannouncedlocaldetails,therearethreecommontypesofpropertytrade-inschemes,namelyfacilitationbypropertyagents,acquisitionorpurchasebydevelopersor
localSOEs,andsubsidiesfornewhomepurchase.Wesummarisethedetailsaswellastheprosandconsofeachtypein
Figure6
.
Threetypesofpropertytrade-inschemes
Amongthethreemethods,webelieveacquisitionisthemostdirectapproachbecausethe
transactionrisksareliterallyremovediftheoldpropertyunitsthathomeownerswanttosellareincludedinthegovernment-purchaselist.However,thisapproachcouldbecapitalintensiveifpurchasers(eg,localgovernments)payaconsiderableamountofcash,althoughitcouldbe
mitigatebynon-cashoffersuchashousingvouchers.
Ontheotherhand,facilitationistheleastcapitalintensivebecausetheroleoftheproperty
agencies,coordinatedbylocalgovernments,helptoconnecthomebuyerswithhomesellers
anddevelopers.However,thereisnoguaranteethattheoldunitscouldbesoldwithinacertainperiod.Iftheperiodistooshort,itreducestolikelihoodofcompletingthetransaction.By
contrast,iftheperiodistoolong,itincreasesthelock-upperiodforthenewhomesthatarependingforsale,whichcouldbeunfavourablefordevelopers.
Acquisitionofoldhomesshouldbethemostpowerfulmethodbutistheleastadopted
Perouranalysis,somecitiesoffermorethanonewayforhomeownerstoswaptheirexistinghomesintonewhomes,butwefoundthatfacilitationisthemostpopularmethod,withnearlyhalfofsome50citiesweanalysedofferingthatmethod.Bycontrast,despitebeingthemoststraightforwardanddirectapproach,lessthan30%ofsome50citiesoffersuchmethod.
Localgovernmentsdonotappeartobekeenoncommittingtoomuchcapitaltoboostthetheirpropertymarkets.Thefacilitationmethodmayreducetheeffectivenessoftrade-inpoliciestoreduceinventories.
6Whatsignaldoesitsendwithover50citiesinChinapromoting“old-for-new”housing?,ChinaNews,9May2024
Barclays|AsiaCreditAlpha:ChinaProperty:Couldthehousingtrade-inschemehelpdigestexcessinventory?
FIGURE6.Threecommontypesofpropertytrade-inscheme
Property
trade-in
schemes
Howitworks?
Comments
Faciliation
Realestatedevelopersandpropertyagencieswillgiveprioritytosellingtheexisting(old)propertyunits.Iftheoldhousingunitissoldwithinacertainperiod,thenewhousingunitpurchasedwillbeprocessedaccordingly.Iftheoldhousingunitcannotbesold,thedepositsearlierpaidtopurchasethenewhousingunitwillbefullyrefunded.
Thistypeoftrade-inschemewithafaciliationtoselltheold
housingunitscouldreducethetransactioncostsbutthereisnoguaranteewhethertheoldunitscouldbesoldwithinacertainperiod.
Acquisition
DevelopersorlocalSOEspurchaseoracquiretheoldhousing
units,andthesalesproceedsareusedtopurchasedesignatednewhousingunits.Thisapproachismainstreampropertytrade-inschemeforthisyear.
Thisisthemostdirectapproachbecausetherewillbeno
concernsofsourcingthebuyers,aslongastheoldhousingunitsareincludedinthegovernment-purchaselist.Sellersreceive
cashorvoucherswhichtheycouldonlyusetopurchaseselectednewpropertyunits.However,thereisariskthattheacquisitioncostcouldbebelowthesellers'expectation.
Subsidies
Individualsorfamilieswhoselltheiroldhousingunitsandpurchasethenewlybuiltpropertyunitwillbegivencertainhomepurchasesubsidiesortaxconcessions.
Similartothefaciliationmethod,thereisnoguaranteewhethertheoldunitscouldbesold.Thesubsidiesmaybeincentiveforthesellertoselltheoldhomebelowthemarketpricessoastoshortenthetransactionperiod.
Source:CREIS,BarclaysResearch
9May202410
Barclays|AsiaCreditAlpha:ChinaProperty:Couldthehousingtrade-inschemehelpdigestexcessinventory?
FIGURE7.Typesofpropertytrade-inschemesadoptedbyvariouscities-facilitationisthemostcommon
Tier
City
Faciliationbypropertyagents
AcquisitionorpurchasebydevelopersorlocalSOEs
Newhomepurchasesubsidies
Tier1
Shanghai
x
Tier1
Shenzhen
x
Tier2
Hangzhou(LinpingDistrict)
x
Tier2
Nanjing
x
x
Tier2
Ningbo
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