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UnveilingtheHidden
ImpactofUrbanLand
RentsonTFP
WhyTFPgrowthindenselypopulated
economieswithrapidlygrowingcapitol
stockshasbeenseverelyunderestimated
BasB.Bakker
WP/23/170
IMFWorkingpapersdescriberesearchin
progressbytheauthor(s)andarepublishedto
elicitcommentsandtoencouragedebate.
TheviewsexpressedinIMFWorkingPapersare
thoseoftheauthor(s)anddonotnecessarily
representtheviewsoftheIMF,itsExecutiveBoard,
orIMFmanagement.
2023
AUG
©2023InternationalMonetaryFund
WP/23/170
IMFWorkingPaper
WesternHemisphereDepartment
UnveilingtheHiddenImpactofUrbanLandRentsonTotalFactorProductivity:
WhyTFPgrowthindenselypopulatedeconomieswithrapidlygrowingcapitolstockshasbeen
severelyunderestimated
PreparedbyBasB.Bakker*
August2023
IMFWorkingPapersdescriberesearchinprogressbytheauthor(s)andarepublishedtoelicit
commentsandtoencouragedebate.TheviewsexpressedinIMFWorkingPapersarethoseofthe
author(s)anddonotnecessarilyrepresenttheviewsoftheIMF,itsExecutiveBoard,orIMFmanagement.
ABSTRACT:ThispaperaddressesthepuzzlingdeclineofTotalFactorProductivity(TFP)levelsinrapidly
growingeconomies,suchasSingapore,despiteadvancementsintechnologyandhighGDPpercapitagrowth.ThepaperproposesthatTFPgrowthisnotnegative;instead,standardgrowthdecompositionshave
underestimatedTFPgrowthbyoverestimatingthecontributionofcapital,failingtoaccountforthesubstantialpartofcapitalincomedirectedtourbanlandrents.Thisleadstoanoverestimationofchangesincapitalstock'scontributiontogrowthandtherebyanunderestimationofTFPgrowth.AreviseddecompositionsuggeststhatTFPgrowthineconomieswithhighlandrentsandrapidcapitalstockgrowth,suchasSingapore,hasbeen
considerablyunderestimated:TFPlevelshavenotdeclinedbutincreasedrapidly.
JELClassificationNumbers:D24,D33,E22,O47
Keywords:
TotalFactorProductivity;EconomicGrowth;CapitalStock,LandRents;GrowthDecomposition;UrbanEconomics;Population
Density;DiminishingReturnstoScale;TechnologicalProgress;Singapore
Author’sE-MailAddress:bbakker@
*ThepaperhasbenefitedfromcommentsbyNikolasFernandez-Arias,NirKlein,NanLi,LeslieLipschitz,
JimMorsink,SofiaPiresMendesAbranchesPessoa,FlavienMoreau,CedricOkou,CarlosvanHombeeck,WillemvanEeghen,RodrigoValdes,andTianxiaoZheng.
WORKINGPAPERS
UnveilingtheHiddenImpactof
UrbanLandRentsonTotalFactor
Productivity
WhyTFPgrowthindenselypopulatedeconomieswithrapidlygrowingcapitolstockshasbeen
severelyunderestimated
PreparedbyBasB.Bakker
5
Contents
1IntroductionandExecutiveSummary
6
2ExistingLiterature
12
3StandardGrowthDecompositionsoverstatetheContributionofCapital
16
3.1Standardgrowthdecomposition
16
3.2Growthdecompositionwhenlandisincludedasaproductionfactor
16
3.3CapitaldeepeningisassociatedwithadeclineinTFPgrowth
17
4DetermininglandrentsfromthevalueofLand
21
4.1Theory
21
4.2CalculatinglandrentsforOECDcountries
22
5DeterminingLandrentsfromPopulationDensity
23
5.1Populationperdevelopedareaandlandrents:EvidencefromUSstates
23
5.2Population-weighteddensityandLandRents:EvidencefromUSStates
25
5.3LandrentsandpopulationweighteddensityinOECDCountries
27
5.4DerivingalowerboundforHongKongSARandSingapore
27
6RevisitinglowTFPgrowth
29
6.1Re-estimatingTFPforHongKongSARandSingapore
29
6.2SensitivityAnalysis
30
6.3Othereconomies
31
7FurtherevidencethatTFPgrowthisunderestimatedineconomieswithrapidly
growingcapitalstocks:1994-2019
33
8PopulationgrowthandTFP
35
9Islandconstant?
37
10Conclusion
38
Bibliography
39
ADataSources
41
6
1IntroductionandExecutiveSummary
Inanumberofveryrapidlygrowingeconomies,TFPlevelshavedeclinedinthepasthalfcentury.Forexample,inSingapore,GDPpercapitain2019was81/2timesthelevelin1970s,butTFPwasalmost10percentlower(Figure1.1).InMalaysia,Türkiye,andPanama,TFPlevelswerealsolower,eventhoughGDPpercapitagrowthhasbeenrapid.
LowerTFPisapuzzle,asitwouldimplythatittakesmoreinputstoproduceagivenlevelofGDPthanitdiditthepast.Butweknowtechnologicalprogresshasbeenspectacular.ItwouldseembizarretoarguethattechnologyinSingaporein1970wasmoreadvancedthanitwasin2019.
ThereisalsoapuzzlethatTFPgrowthinseeminglysimilareconomieshasbeenstrik-inglydifferent.SingaporehasseennoTFPgrowthinthelastfiftyyears,whileTFPgrowthinHongKongSARhasbeenconsiderable(Figure1.2)
.1
Thispaperproposesasolutionforthispuzzle.TFPgrowthhasnotbeennegative;rather,standardgrowthdecompositionshaveunderestimatedTFPgrowthbyoverestimat-ingthecontributionofcapital.
●Theyassumethatthecontributionofcapitaltogrowthisequaltothegrowthrateofthecapitalstocktimesthecapitalincomeshare—whichiscalculatedasas1-laborincomeshare.
●Butaconsiderablepartofcapitalincomegoestolandrentsratherthantotheownersofthephysicalcapitalstock
.2
●Aproperdecompositionshouldincludenotonlycapitalandlabor,butalsoland,withthecontributionsofeachfactordeterminedbythegrowthrateoftheproductionfactortimestheshareoftherewardsoftheproductionfactorinGDP.NOte
●Thismeansthatgrowthdecompositionsshouldusealowercoefficientforthecapitalstock—theyshouldusethecapitalincomeshareexcludinglandrentsratherthanthe
totalcapitalincomeshare.
●Thatmeansthatstandardgrowthdecompositionsoverestimatethecontributionofchangesinthecapitalstocktogrowth—andtherebyunderestimateTFPgrowth.
●Theoverestimationcanbesignificantineconomieswherelandrentsarehighandthecapitalstockhasgrownveryrapidly—whichincludesSingapore
.3
1See,forexample,
Young
(1992)
.
2Notethatinthepaperwedonotfocusontheshareoflandrentsforagricultureornaturalresources,butonurbanlandrents—capitalincomegoingtolandownersinurbanareas.
3TheincreaseinthecapitalstockinSingaporehavebeentrulydramatic:thecapitalstockin2019was39timesashighasin1970.Toputthisintoperspective,intheUnitedStatesthecapitalstockwas4.7timesashigh.
7
WedonothavedatafortheshareoflandrentsinGDPinSingaporeandHongKongSAR,nordowehavedataontheiraggregatelandvalue.Wethereforetrytoderiveaplausibleestimate.WeshowthattheshareoflandrentsinGDPisnotconstant—itishigherinmoredenselypopulatedareas.WederivealowerboundfortheshareoflandrentsinGDPofSingaporeandHongKongSARbylookingatlandrentsincountrieswherepopulationdensityislowerthaninHongKongSARandSingapore.
●Wearguethatlandvaluesarehigherinmoredenselypopulatedareas.GDPishighertoo,butthedifferencesarelesspronouncedthatthedifferenceinlandvalues.Asaresult,theratiooflandvaluestoGDPishigherinmoredenselypopulatedareas.
●Assumingthereturnonlandisthesameeverywhere,thisimpliesthattheratiooflandrentstoGDPishigherinmoredenselypopulatedareas.
●WeshowthatforUSstatesthereisastronglinkbetweenpopulationperdevelopedareaandtheratioofthevalueofdevelopedlandtoGDP:thehigherthepopulationdensity,thehigherthevalueoflandrelativetoGDP.AssumingthatthereturnonlandisequalacrossUSstates,thisimpliesthatshareoflandrentsinGDPdependsonpopulationdensityaswell.
●WethenshowthatasimilarlinkexistsforUSstatesbetweenweightedpopulation
density4
andlandrents.
●WeshowthatforOECDcountriesforwhichtheOECDhasdataontheaggregatevalueofland,thereisastronglinkbetweenweightedpopulationdensityandtheshareoflandrentsinGDP.
●WeusethislinktoderivealowerboundfortheshareoflandrentstoGDPinSingaporeandHongKongSAR—twoeconomiesforwhichwedonothavedataoneitherlandrentsorlandvalues.InKorea,whereweightedpopulationdensityisthehighestamongallOECDeconomiesforwhichtheOECDhasdataonaggregateland
values,landrentsareslightlylessthan25percentofGDP.AsHongKongSARandSingaporehaveamuchhigherweightedpopulationdensity,theyshouldhaveahigherlandrentratio.Wethereforeassume,veryconservatively,thatlandrentsinHongKongSARandSingaporeare25percentofGDP.
ThatwouldimplythatTFPgrowthinSingaporehasbeensubstantiallyunderestimated.InSingapore,thecapitalstockhasgrownby7.5percentannuallybetween1970and2019.Theaveragecapitalincomeshareduringthisperiodwas56percentofGDP.Iflandrentswere25percentofGDP,TFPwasunderestimatedby0.25*7.5=1.75percentannually.This
4Population-weighteddensityisthemeanofthedensitiesofsubareasofalargerareaweightedbythepopulationsofthosesubareas(
Ottensmann
(2018))
8
wouldimplythatTFPdidnotdeclineby0.2percentannuallybetween1970and2019,butincreasedby1.55percent
.5
WealsoshowthatSingaporeandHongKongSARaremuchmoresimilarthanstandardTFPestimatessuggest.ThecapitalstockinSingaporehasgrownmorerapidlythaninHongKongSAR,whichimpliesthatTFPgrowthhasbeenmoreunderestimated
.6
Krugman
(1994)inhisfamouspapernotedthat‘Economicgrowththatisbasedon
expansionofinputs,ratherthanongrowthinoutputperunitofinput,isinevitablysubjecttodiminishingreturns.’Yetstandardgrowthdecompositionsassumethatdiminishingreturnstoscaledonotexist.Theyassumethatveryrapidgrowthofinputsshouldleadtoanequallylargegrowthofoutput.Totheextentoutputgrowsbyless,theyattributethistodecliningTFP.
ThepapershowsthatSingaporehasnotsufferedfromnegativeTFPgrowth.Rather,withonefixedproductionfactor(land),therehavebeendecliningreturnstoscalefromincreasingcapitalandlabor.
●ThecapitalstockinSingaporein2019was39timesashighasin1970whilehumancapitalwas15timesashigh.WithunchangedTFP,constantreturnstoscaleincapitalandlabor,andacapitalincomeshareof60percent,thisshouldhaveledtoanoutputlevelthatis27timesashigh.Asoutputwasonly24timesashigh,growthdecomposersconcludethatTFPgrowthwasnegative.
●ButwithunchangedTFP,decliningreturnstoscaleincapitalandlabor,andacoefficientoncapitalthatis35percentratherthan60,thesameincreaseininputswouldonlyleadtoanoutputlevelthatis11timesashigh.ThatmeansthatmorethanhalftheincreaseinoutputwastheresultofTFP!
Finally,bothdecliningreturnstoscaleandnegativeTFPgrowthleadtooutputgrowingbylessthaninputs.Butthedifferencebetweenthetwoismorethansemantics.
●DecliningTFPimpliesthatmoreinputsareneededtoproducethesamelevelofoutput,whichsuggeststhatefficiencyisdecliningortechnologyisregressing
.7
●Decliningreturnstoscalemeansthatanincreaseininputsleadstoalessthanpropor-tionateincreaseinoutput.Itdoesnotmeanthatefficiencyisdecliningortechnologyisregressing
.8
5Wederiveamoreprecisecalculationinthepaper,usingannualdataforthegrowthofthecapitalstockandthecapitalincomeshare.Themorepreciseestimateis1.70percent.
6TheunderestimationofTFPgrowthhasalsotakenplaceinadvancedeconomies,butthemagnitudeoftheunderestimationhasbeenmuchsmaller.TaketheUnitedStates.Theaverageannualgrowthrateofthecapitalstockbetween1970and2019hasbeen3.2percent,whiletheaveragecapitalincomesharebetween1970and2019was39percent.Assumingthatlandrentswere15percentofGDP,theunderestimationofTFPwas0.15*3.2=0.5percentperyear.
7TFPisusuallyinterpretedasameasureoftechnology,summarizinghowintensivelyandefficiently
9
10
11
inputsareusedinproduction.(
CraftsandWoltjer
(2021),page672)
.
8Itistruethattheabsenceoflandavailablefordevelopmentwilleventuallyreduceoutputgrowthandpercapitaincome.Thismaybemitigatedtosomeextentbyashiftintolessland-intensivesectorsandsuchashiftwillbeincentivizedbyrelativecostdevelopments.
12
2ExistingLiterature
Theroleofland
Landplayedapivotalroleinclassicaleconomictheory.Agriculture,asthedominantsectorduringthatera,underscoredthesignificanceofland.
HansenandPrescott
(2002)
arguedthatthepre-industrialerausedaMalthustechnology—aland-intensivetechnologywherelandisafixedfactorandtherearedecreasingreturnstolabor.Thetheoryofrent,particularlyemphasizedbyeconomistslikeRicardo,exploredtheincomeearnedbylandownersduetoitsscarcityandproductivity.
Incontrast,moderneconomicgrowththeorylimitstheroleofland.
HansenandPrescott
(2002)arguethatthemoderneraoperatesonacalled"Solow"technology,whichexhibits
constantreturnstoscalewithcapitalandlaborasinputs.Iflandstillhasarole,itisprimarilyasasourceofnaturalresourcesornaturalcapitalthatcanbedepleted(
Brandt
etal.
(2017))
.
Thesignificantdecreaseinthevalueofagriculturallandhascontributedtoashiftineconomists’productionfunctions.
PikettyandZucman
(2014)observethatthevalueof
agriculturallandinFranceandtheUnitedStates,whichonceamountedtofourtofiveyearsofnationalincomearound1700,isnow"negligible."
Butwhilethevalueofagriculturallandhasdeclinedsharply,thevalueofurbanlandhasincreasedsharply.
Knolletal.
(2017)presentsannualhousepricesfor14advanced
economiessince1870.Theyshowthatrealhousepricesstayedconstantfromthenineteenthtothemid-twentiethcentury,butrosestronglyandwithsubstantialcross-countryvariationinthesecondhalfofthetwentiethcentury.Risinglandpricesexplainabout80percentoftheglobalhousepriceboom.
Thelandpriceincreasehasbeenparticularlypronouncedindenselypopulatedareas.
Barretal.
(2018)estimatesthatthevalueofalllandinManhattan(28squaremiles)was
US$1.74trillion.Thelinkbetweenurbandensityandlandpriceshasbeenextensivelydiscussedintheliterature.See,forexample,
DurantonandPuga
(2020)and
Glaeserand
Gyourko
(2018)
.
Therehavebeenpapersthathavefocusedontheeconomicimpactofthelandpriceincreases.
Rognlie
(2015)arguesthattheincreaseinthe(net)capitalincomesharein
recentdecadesisentirelytheresultofanincreaseincapitalincomeofthehousingsector.
GanongandShoag
(2017)arguesthatrisinghousingpricesinhigh-incomeareasintheUS
hasdeteredlow-skillmigrationandslowedincomeconvergence.
Toourknowledge,thereisnopaperthatdiscussesthesharpincreaseinlandpricesforgrowthaccounting.
LowTFPgrowthinsomeAsianTigers
Krugman
(1994),inhisfamouspaper‘TheMythofAsia’sMiracle‘,popularizedtheidea
thateconomicgrowthinSingaporeandotherrapidlygrowingAsianecononomieswassolely
13
theresultofanincreaseininputsandthattotalfactorproductivityhadnotincreasedatall:
‘Butitisonlywhenoneactuallydoesthequantitativeaccountingthattheastonishingresultemerges:allofSingapore’sgrowthcanbeexplainedbyincreasesinmeasuredinputs.Thereisnosignatallofincreasedefficiency.Inthissense,thegrowthofLeeKuanYew’sSingaporeisaneconomictwinofthegrowthofStalin’sSovietUnion—growthachievedpurelythroughmobilizationofresources.‘
Young
(1992)comparedHongKongandSingapore
.Henotedthat‘whiletheHongKonggovernmenthasemphasizedapolicyoflaissezfaire,theSingaporeangovernmenthas,sincetheearly1960s,pursuedtheaccumulationofphysicalcapitalviaforcednationalsavingandthesolicitationofaveritabledelugeofforeigninvestment.‘Hefoundthat‘WhiletotalfactorproductivitygrowthhascontributedsubstantiallytoeconomicgrowthinHongKong,itscontributiontogrowthinSingaporeisnexttonil.‘HesuggestedthiscouldbeexplainedbySingapore’sindustrialpolicies:‘Singaporeisavictimofitsowntargetingpolicies,whichareincreasinglydrivingtheeconomyaheadofitslearningmaturityintotheproductionofgoodsinwhichithaslowerandlowerproductivity.’
InanoverviewarticleaboutTFPgrowthinAsia,
Felipe
(1999)arguesthatattributing
lowTFPgrowthtoindustrialpolicyisnotwarranted:
‘Performingagrowthaccountingexercisewiththeaimofdecomposingover-allgrowthorfittingaproductionfunctionisnotthesameasexplainingtheul-timatecausesofgrowth.Therefore,mostexplanationsaboutthegrowthofthecountriesunderstudy,advancedex-post,areunwarranted,andthus,fallacious.Inotherwords,thereisanunfilledgapbetweencalculatingzeroproductivitygrowthandattributingittothefailureofindustrialpolicy.’
TFPandIncomeDifferentials
Itiswellestablishedintheliteraturethatcross-countrydifferentialsinincomelevelsarelargelyduetodifferencesinTFP.Seeforexample,theoverviewin
Jones
(2016)
.9
Similarly,inthelongerrun,differencesinpercapitaGDPgrowthtendtobeassociatedwithdifferencesinTFPgrowth(Figure1.1).DifferencesinlaborproductivitygrowthalsotendtobeassociatedwithdifferencesinTFPgrowth(Figure2.1).
However,therearesomeimportantexceptions.Panama,Türkiye,MalaysiaandSin-gaporearealleconomieswithrapidlaborproductivitygrowthgrowthbutnegativeTFPgrowth.
9ItisalsowellestablishedthatdifferencesinTFPareduetodifferencesinhumancapitalandgovernanceandotherinstitutions(seeforexample,
Jones
(2016)and
Bakkeretal.
(2020))
.
14
Therearealsosomepuzzles.WhyhasSingapore,wherelaborproductivityhastripledsince1970,hadvirtuallythesameTFPgrowthasJamaica—wherelaborproductivityislowerthanin1970(Figure2.2)?
15
16
3StandardGrowthDecompositionsoverstatetheContributionofCapital
3.1Standardgrowthdecomposition
Standardgrowthdecompositionsassumethatthereareconstantreturnstoscale;andthatthereisperfectcompetitionwhichinturnimpliesthatfactorsgetpaidtheirmarginalproducts.Theproductionfunctionis:
Y=AF(K,L)(3.1.1)
Ifwetotallydifferentiatetheaboveproductionfunctionweget;
dY=F(K,L)dA+AFKdK+AFLdL(3.1.2)
Withperfectcompetitionthisequationbecomes:
dY=F(K,L)dA+rdK+wdL(3.1.3)
IfwedividebyYweget:
=++(3.1.4)Ifwedefineαastheshareoftotalincomethatgoestocapitalwecanrewritethisas:
=+α+(l−α)(3.1.5)
ThisequationistypicallyusedtoestimateTFPgrowth:
=−α−(l−α)(3.1.6)
isestimatedTFPgrowth.
3.2Growthdecompositionwhenlandisincludedasaproductionfactor
Assumethattherealproductionfunctionis:
Y=AF(K,L,T)(3.2.1)
whereT
island.10
Theonlydifferencebetweenthisproductionfunctionandthepreviousfunctionistheinclusionofland.Asbeforeweassumethatthereareconstantreturnstoscale;andthatthereisperfectcompetitionwhichinturnimpliesthatfactorsgettheirmarginalproducts.
10FromtheLatinwordterra.
17
DefineγastheshareofGDPgoingtolandrents.Wecandeducethat
=−(α−γ)−γ−(l−α)(3.2.2)
Assumingthattheamountoflandisfixedwecanwritethisas
=−(α−γ)−(l−α)(3.2.3)
Ifwecompareequation(3.2.3)with(3.1.6)weseethatstandardgrowthdecompositions
assumethatthecoefficientforthecapitalstockisequaltothecapitalincomeshare,whereasthedecompositionwithaproductionfunctionthatincludeslandusesacoefficientthatisequaltothecapitalincomeshareminustheshareoflandrentsinGDP.
Theresultisthatthemorethecapitalstockgrows,themoreestimatedTFPgrowth
d
=
−γ
(3.2.4)
InSingapore,thecapitalstockhasbeengrowingveryrapidly(Figure3.1).ThissuggeststhatTFPgrowthmayhavebeensubstantiallyunderestimated.
3.3CapitaldeepeningisassociatedwithadeclineinTFPgrowth
TofurthersupporttheideathatthenegativeTFPgrowthestimatesinPennWorldTablesaretheresultofanoverestimationofthecontributionofcapital,wewillshowthatcapitaldeepening(anincreaseinthecapital-outputratio)isassociatedwithadeclineinTFPgrowthasestimatedbyPennWorldTables.Figure3.2showsthatthereisastrongnegativelinkbetweenchangesinthecapital-outputratioandchangesinTFP.
Intheory,thelinkbetweenthechangeinthecapital-outputratioandthechangeinTFPcouldalsogotheotherway.LowTFPgrowthcouldleadtolowGDPgrowthandanincreaseinthecapitaloutputratio.Inpractice,however,thisdoesnotseemtobethecase.ThelinkbetweenchangesinthecapitaloutputratioandGDPgrowthispositivesuggestingthatcapitaldeepeningisassociatedwithfastergrowth(Figure3.3).
18
19
20
21
4DetermininglandrentsfromthevalueofLand
4.1Theory
TheshareoflandrentsinGDP,γ,isequalto:
γ=
rTPTT
PYY
(4.1.1)
whererTisthereturnonland,PTisthepriceofland,Tistheamountofland,YisrealGDPandPYistheGDPdeflator.
Weassumethatthenetreturnonthecapitalstock,rK,isthesameasthenetreturn
onland:11
rT=rK−δ=r(4.1.2)
Itfollowsthat:
rPTT+(r+δ)PKK=αPYY(4.1.3)
whereαisthecapital-incomeincomeshare(i.e.,theshareofGDPthatdoesnotgotolabor)andδisthedepreciationrateofthecapitalstock.Itfollowsthat
r=
TheshareoflandrentsinGDPis:
αPYY−δPKK
PTT+PKK
γ=
(4.1.4)
(4.1.5)
Wethusneedfivevariablestocalculatelandrents:
●Thevalueofland(PTT)
●Thevalueofthecapitalstock(PKK)
●NominalGDP(PYY)
●Thecapitalincomeshare(α)
●Thedepreciationrateonthecapitalstock(δ)
11Notethatthenetreturnonthecapitalstockisequaltothegrossreturnminusdepreciation.Thenetreturnonlandisequaltothegrossreturn—thereisnodepreciation.
22
4.2CalculatinglandrentsforOECDcountries
TocalculatelandrentsforanumberofOECDcountrieswecombineOECDdataanddatafromPennWorldTables:
●WeuseOECDdataonthevalueofthecapitalstock,thevalueofland,andGDP.
●WeusePennWorldTables10.0dataonthecapitalincomeshareandthedepreciationrate
Wefirstcalculaterusingequation(4.1.4)
.WethencalculatethelandrenttoGDP
ratiofromequation(4.1.5)
.
TheresultsareinFigure4.1.LandrentsarehighestinKorea,atabout24percentofGDP.InGreatBritain,theyare21percentofGDP.TheyarelowestinGermany,atabout
10percentofGDP.12
12TheseestimatesforAustraliaaresimilarto
Putland
(2018),whoestimateslandrentsinAustraliain
2018atslightlyover20percentofGDP.
23
5DeterminingLandrentsfromPopulationDensity
Unfortunately,wedonothavedataontheaggregatevalueoflandinSingaporeorHongKongSARthatwecouldusetodeterminetheratiooflandrentstoGDPinthoseeconomies.WewillthereforeestimatethelandrentstoGDPratiobylookingatotherdenselypopulatedeconomiesforwhichwehavelandrentsestimates.
Itiswellknownthatlandvaluesindenselypopulatedareasaremuchhigherthaninlessdenselypopulatedareas.Accordingto
Albouyetal.
(2018),fiveurbanagglomerations
(NewYork,LosAngeles,SanFrancisco,Washington,DC,andChicago)accountfor48%ofallurbanlandvalueintheUnitedStates.Accordingto
Barretal.
(2018)theentire
amountofdevelopablelandonManhattanin2014wasworthapproximately$1.74trillion.
MoredenselypopulatedareaalsoproducemoreGDP,butthedifferenceislesspro-nouncedthanthedifferenceinlandvalues.In2018,theshareofthefiveurbanagglomer-ationsinUSGDPwas22.3percent—lessthanhalftheshareinUSlandvalues.
ThissuggeststhattheratiooflandvaluestoGDPishigherinmoredenselypopulatedareas.Andassumingthatthereturnonlandisconstant,thisimpliesthattheshareoflandrentsinGDPisalsohigherinmoredenselypopulatedareas.
5.1Populationperdevelopedareaandlandrents:EvidencefromUSstates
Larson
(2015)hascalculatedlandvaluesandareasfordevelopedland,agriculturalland
andfederallandforeachofthe48contiguousUnitedStates.Developedlandisworthanaverageof$106,000peracre,versusnon-developedland,whichisestimatedtobe
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