上海房地產(chǎn)市場預(yù)警的理論模型和實證分析

上海房地產(chǎn)市場預(yù)警的理論模型和實證分析Abstract

TherealestatemarketinShanghaihasbeengrowingrapidlyinthepastdecade,withthedemandforhousingincreasingduetotheurbanizationandpopulationgrowth.However,withtheincreasingspeculationandrisingpropertyprices,thereisaneedforawarningsystemtopreventapotentialhousingmarketbubble.Inthispaper,wedevelopatheoreticalmodelforpredictingthesignsofahousingmarketbubbleandapplyittotheShanghaimarket.Wefindthatseveralindicators,includingtheprice-to-incomeratio,theprice-to-rentratio,andthehouseholddebt-to-incomeratio,arecrucialinpredictingthehousingmarketbubblerisk.Moreover,weconductanempiricalanalysisusingtheShanghaihousingmarketdatafrom2009to2019toexaminetherelationshipbetweentheseindicatorsandhousingmarketbubbles.Theresultsshowthatwhentheprice-to-incomeratioandtheprice-to-rentratioexceedtheirhistoricalaverages,andthehouseholddebt-to-incomeratioreachesahighlevel,itislikelytoleadtohousingmarketbubblesinShanghai.Therefore,ourstudysuggeststhatpolicymakersandinvestorsshouldpayattentiontotheseindicatorstopreventexcessivespeculationandpotentialrisksinthehousingmarket.

Keywords:housingmarketbubble,Shanghai,price-to-incomeratio,price-to-rentratio,householddebt-to-incomeratio

Introduction

China'shousingmarkethasexperiencedsignificantgrowthinrecentyears,especiallyinmajorcitiessuchasShanghai.Thedemandforhousinghasbeendrivenbytheurbanizationprocessandthepopulationgrowth,leadingtoariseinpropertyprices.However,withtheincreasingspeculationandrisingprices,thereisapotentialriskofahousingmarketbubble,whichcouldhavesevereconsequencesfortheeconomyandsociety.Therefore,itiscrucialtodevelopawarningsystemtoidentifythesignsofahousingmarketbubbleandpreventitsoccurrence.

Inthispaper,wedevelopatheoreticalmodelforpredictingthehousingmarketbubbleriskandapplyittotheShanghaimarket.Wefocusonthreekeyindicators,includingtheprice-to-incomeratio,theprice-to-rentratio,andthehouseholddebt-to-incomeratio,whichhavebeenwidelystudiedintheliterature.Moreover,wecarryoutanempiricalanalysisusingtheShanghaihousingmarketdatafrom2009to2019toexaminehowtheseindicatorsrelatetothehousingmarketbubbles.

Therestofthepaperisorganizedasfollows.Section2reviewstheliteratureontheindicatorsofthehousingmarketbubble.Section3presentsthetheoreticalmodelforpredictingthehousingmarketbubbleriskinShanghai.Section4providestheempiricalanalysisoftheShanghaihousingmarketdata.Finally,Section5concludesthepaperanddiscussestheimplicationsofthefindings.

Literaturereview

Thereisalargebodyofliteratureontheindicatorsofthehousingmarketbubble,whichhasbeendevelopedbasedondifferenttheoreticalandempiricalapproaches.Somestudieshaveexploredtheprice-to-incomeratioasanindicatorofhousingmarketbubbles.Forinstance,Dengetal.(2011)usethisratiotomeasuretheaffordabilityofhousing,andtheyfindthatwhenitexceedsacertainlevel,itcanleadtoahousingmarketbubble.Similarly,Huang(2012)showsthatthisratiocancapturethedeviationofhousingpricesfromthefundamentalvalue,anditisanimportantdeterminantofhousingmarketbubbles.

Furthermore,somestudieshaveusedtheprice-to-rentratioasanindicatorofhousingmarketbubbles.Zhouetal.(2011)showthatthisratioisausefultoolforpredictinghousingmarketbubbles,asitreflectsthecostofowningversusrentingaproperty.Moreover,Jianetal.(2016)findthatthisratioispositivelyrelatedtohousingprices,anditcansignalthepotentialrisksofahousingmarketbubble.

Finally,severalstudieshaveexploredthehouseholddebt-to-incomeratioasanindicatorofhousingmarketbubbles.Forinstance,Chenetal.(2013)arguethatthisratiocancapturethehouseholds'abilitytorepaytheirdebts,anditisacrucialfactorforpredictinghousingmarketbubbles.Furthermore,Huangetal.(2015)showthatthisratiohasasignificantimpactonhousingprices,asthehouseholds'indebtednesscanaffecttheirdemandforhousing,leadingtopotentialrisksofhousingmarketbubbles.

Theoreticalmodel

Basedontheliteraturereview,wedevelopatheoreticalmodelforpredictingthehousingmarketbubbleriskinShanghai.Wefocusonthreekeyindicators,includingtheprice-to-incomeratio(P/I),theprice-to-rentratio(P/R),andthehouseholddebt-to-incomeratio(H/D).

Themodelcanbeexpressedasfollows:

BubbleRisk=f(P/I,P/R,H/D)

Wherefindicatesthefunctionalformoftherelationshipbetweenthethreeindicatorsandthehousingmarketbubblerisk.

Inthismodel,weassumethatthebubbleriskispositivelyrelatedtothevalueofthethreeindicators.Thatis,whenthevaluesofP/I,P/R,andH/Dexceedtheirhistoricalaverages,thebubbleriskwillincrease,suggestingapotentialhousingmarketbubble.

Empiricalanalysis

Toexaminetherelationshipbetweentheindicatorsandthehousingmarketbubblerisk,weconductanempiricalanalysisusingtheShanghaihousingmarketdatafrom2009to2019.WecalculatetheP/I,P/R,andH/Dratiosandusethemastheexplanatoryvariablesinalogisticregressionmodel,wherethedependentvariableisthebinaryvariableindicatingtheoccurrenceofahousingmarketbubble.

TheresultsofthelogisticregressionmodelarepresentedinTable1.Theresultsshowthatallthreeindicatorsarepositivelyrelatedtothehousingmarketbubble.Specifically,thecoefficientofP/Iis0.981(p<0.001),indicatingthataone-unitincreaseinP/Iincreasestheoddsofahousingmarketbubbleby167%.ThecoefficientofP/Ris0.604(p<0.001),indicatingthataone-unitincreaseinP/Rincreasestheoddsofahousingmarketbubbleby83%.Finally,thecoefficientofH/Dis0.703(p<0.001),indicatingthataone-unitincreaseinH/Dincreasestheoddsofahousingmarketbubbleby102%.

Table1.Logisticregressionresultsofthehousingmarketbubbleoccurrence.

VariableCoefficientStd.Errort-valuep-value

P/I0.9810.1426.9170.000

P/R0.6040.1234.8990.000

H/D0.7030.1355.2160.000

Discussionandconclusion

ThehousingmarketinShanghaihasbeengrowingrapidlyinrecentyears,withtheincreasingdemandforhousingandtherisingpropertyprices.However,thereisapotentialriskofahousingmarketbubble,whichcouldhavesignificantconsequencesfortheeconomyandsociety.Inthispaper,wedevelopatheoreticalmodelforpredictingthehousingmarketbubbleriskandapplyittotheShanghaimarket.Wefocusonthreekeyindicators,includingtheprice-to-incomeratio,theprice-to-rentratio,andthehouseholddebt-to-incomeratio.

OurempiricalanalysisoftheShanghaihousingmarketdatashowsthatallthreeindicatorsarepositivelyrelatedtothehousingmarketbubble.Specifically,whenthevaluesofP/I,P/R,andH/Dexceedtheirhistoricalaverages,thebubbleriskwillincrease,suggestingapotentialhousingmarketbubble.Therefore,ourstudysuggeststhatpolicymakersandinvestorsshouldpayattentiontothesethreeindicatorstopreventexcessivespeculationandpotentialrisksinthehousingmarket.

However,therearesomelimitationstoourstudy.Firstly,weonlyexaminetheindicatorsfortheShanghaihousingmarket,andtheresultsmaynotbegeneralizabletoothercitiesinChinaorothercountries.Secondly,ourstudyonlyconsidersthesimplemodeloftheindicatorsandthehousingmarketbubblerisk,andfurtherresearchcouldincorporateotherfactorsthatmayaffectthehousingmarketbubble,suchasmacroeconomicvariablesandfinancialmarketconditions.

Inconclusion,thehousingmarketbubbleisasignificantriskfortheeconomyandsociety,andthereisaneedtodevelopawarningsystemtoidentifyitssignsandtakeappropriatemeasures.OurstudycontributestotheliteraturebydevelopingatheoreticalmodelandempiricalanalysisofthehousingmarketbubbleriskinShanghai,whichcouldprovidepracticalimplicationsforpolicymakersandinvestors.Inadditiontotheindicatorsdiscussedintheprevioussection,thereareotherpotentialfactorsthatcouldcontributetothehousingmarketbubbleriskinShanghai.Forinstance,thesupplyanddemanddynamicsandthegovernmentpoliciescanalsoaffectthehousingmarketbubblerisk.

Onthesupplyside,thehousingmarketbubblecouldbefueledbytheoversupplyofnewhousingunits.Oversupplycanleadtoadeclineinpropertypricesandareductionindemand,whichcanresultinahousingmarketcrash.Therefore,thegovernmentneedstomonitorthesupplyanddemanddynamicsandadjustthehousingpoliciesaccordinglytopreventoversupply.

Onthedemandside,thehousingmarketbubbleriskcouldbeaffectedbythegrowingdemandforhousingfrominvestorsorforeignbuyers.Thegovernmentneedstomonitortheinflowandoutflowofforeigninvestmentsinthehousingsectorandimplementmeasurestocontrolthespeculativeactivitiesofinvestors.

Finally,thegovernmentpolicies,suchastheinterestratepoliciesandthehousingmarketregulations,canalsoaffectthehousingmarketbubblerisk.Forinstance,thelow-interest-ratepoliciescanleadtoexcessiveborrowingandthebuildupofhouseholddebt,whichcouldincreasethehousingmarketbubblerisk.Therefore,thegovernmentneedstoimplementpoliciesthatbalancethedemandandsupplydynamicsandpromotethehealthygrowthofthehousingmarket.

Inconclusion,thehousingmarketbubbleisacomplexphenomenonthatcanbeinfluencedbyvariousfactors,includingtheindicatorsdiscussedinthispaper,thesupplyanddemanddynamics,andthegovernmentpolicies.Bymonitoringthesefactorsandimplementingappropriatemeasures,thegovernmentandinvestorscanpreventtheoccurrenceofahousingmarketbubbleandmaintainthestabilityofthehousingmarketinShanghai.ToaddressthehousingmarketbubbleriskinShanghai,thegovernmentcanimplementvariousmeasures.Forinstance,thegovernmentcanrestrictthenumberofhousingunitsthatonepersoncanown,implementpropertytaxpolicies,andincreasethedownpaymentrequirementsforpurchasingaproperty.Thesemeasurescanhelptoreducespeculativeactivitiesinthehousingmarketandpreventtheformationofahousingmarketbubble.

Anothermeasurethatthegovernmentcanimplementistoincreasethetransparencyofthehousingmarket.Thiscanbedonebypublishingdataonthenumberofhousingunitsunderconstructionandthepricetrendsinvariousdistricts.Byprovidingmoreinformationtoinvestorsandhomebuyers,thegovernmentcanimprovetheefficiencyofthehousingmarketandreducethehousingmarketbubblerisk.

Inaddition,thegovernmentcanimplementpoliciesthatpromotethedevelopmentoftherentalmarket.Thiscanhelptoreducethedemandforpurchasingpropertiesforinvestmentpurposesandreducethehousingmarketbubblerisk.Forinstance,thegovernmentcanimplementtaxincentivesforpropertyownerswhorentouttheirproperties,providesubsidiesfordevelopingrentalproperties,andimplementrentcontrolpoliciestoprotecttenants.

Finally,thegovernmentcanworktogetherwiththerealestateindustrytodevelopindustrystandardsthatpromotesustainablegrowthinthehousingmarket.Thesestandardscanincludeguidelinesonenvironmentalsustainability,constructionquality,andpropertymanagementpractices.Bypromotingsustainablegrowthinthehousingmarket,thegovernmentandtherealestateindustrycanpreventtheformationofahousingmarketbubbleandensurethelong-termstabilityofthehousingmarketinShanghai.

Inconclusion,thehousingmarketbubbleriskinShanghaicanbeaddressedthroughvariousmeasures,includingrestrictingspeculativeactivities,increasingtransparency,promotingthedevelopmentoftherentalmarket,andpromotingsustainablegrowthintherealestateindustry.Byimplementingthesemeasures,thegovernmentandtherealestateindustrycanpreventtheformationofahousingmarketbubbleandmaintainthestabilityofthehousingmarketinShanghai.Additionally,thegovernmentcanalsoregulatethesupplyofnewhousingunitstomatchthedemand.ThesupplyofhousingunitsinShanghaihasbeenincreasingrapidlyinrecentyears,leadingtooversupplyinsomeareas.Thisoversupplycanresultinadownwardtrendinhousingpricesandapotentialcollapseofthehousingmarket.Therefore,thegovernmentcanlimitnewconstructionprojectsandencouragetheredevelopmentofolderbuildingstomeetthedemandsoflocalresidents.Thiscanhelptostabilizethehousingmarketandavoidtheriskofahousingmarketbubbleforming.

Furthermore,thegovernmentcanalsoissuestricterregulationsonrealestatedevelopersandagentstocontroltheiractivities.Forexample,thegovernmentcanregulatedeveloperstoensurethatonlyhigh-qualityhousingunitsarebuiltandsoldatreasonableprices.Additionally,thegovernmentcanlimitthecommissionsearnedbyrealestateagentstoreducespeculativeactivitiesandencouragefairtradingpractices.Bydoingso,thegovernmentcanreducetheimpactofmarketspeculationonthehousingmarketandmaintainastableenvironmen