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cotnposm:/iwRws.acu08June2026
GlobalDataWatch:Asia
EMAXresiliencehasatrifectaofunderpinnings
EMAXresiliencehasatrifectaofunderpinnings
IncontrasttodownsiderisksinChina,thereareupsideriskstogrowthintherestofAsia.Threefactorshavecombinedtounderpinthis.First,EMAXhasprovedrelativelyresilientandresourcefulinthefaceoftheenergyshock.Dailytankervolumesofenergyimportshaveimprovedsubstantiallyinrecentweeksandarealmostbacktonormallevels,astheregionaggressivelyscoutsforenergyfromotherlocations.Consequently,thefearednon-linearitiestogrowthseemtohavebeenavoidedfornow.Second,techcontinuestoboom,visiblebothintheAprilIPprintsaswellasinstrongMayKoreatechexportsthisweek,thoughgrowingpriceeffectsfurtherbuoythenominalprints.Third,fiscalpolicyisactiveintheregiontocushiontheenergyshock.Koreaalreadysawalargesupplementarybudgetaftertheoilshockandstrongtechcreatesfiscalspacethatcouldpotentiallybeusedtoprovidemorebuffers.InIndia,thegovernmenthasborneasignificantfractionofthenegativetermsoftradeshock,withretailpricesincreasinglymoremodestly.InMay,Thailandannouncedaheftyfiscalpackagetothetuneof2.1%ofGDPwhichshouldhelpliftgrowthin2H26.Finally,inthePhilippines,weexpectthegovernmenttoenactasupplementarybudgetworth0.7%ofGDPin2H26,whichshouldhelpoffsettheimpactofmonetarypolicytightening.Together,theseforceshavecontributedtoresiliencereflectedintheMayPMIs,withtheEMAXoutputindexreboundingafterslippinginMarchandApril,thoughit’sstillnotbackatpre-conflictlevels.
RBIbuckstheregionalhawkishtilt
Withgrowthholdingup,severalcentralbankshaveturnedtheirattentiontoinflationandbecomeprogressivelyhawkish.TheBSPandBankofIndonesiahavealreadyhikedinrecentweeksandweexpectmoretocome.Lastweek,theBankofKoreaturnedhawkishandwenowexpecttheBoKtohikefourtimesoverthenextyear.TheonecentralbankwherewehavebeenconsistentlymoredovishthanthemarkethasbeentheRBI.TheRBIheldpolicyratesthisweek,aswehadexpected,butbuckingmarketpricingthathadbuiltina60%chanceofa25bpshike.Instead,theRBIdeliveredaboostershotofregulatorymeasurestoattractcapitalinflowsandshoreuptheBalanceofPayments,inthewakeofsustainedpressuresonthecurrency.Intheevent,itunderscoredtheprincipleofseparabilityunderIndia’sInflationTargetingframework,whereinratesandliquidityareusedtoaddressinflationwhileotherinstruments(sterilizedFXinterventionandregulatorypolicy)areusedtocombatexternalsectorpressures.
China:2Qrisksskewdownward,butwithcaveats
WhilePMIsignalsaremixed,weseesomedownsiderisksto2QGDPgrowth.AgainstthebackdropofweakAprilactivity,latestNBSandRatingDogPMIreadingsofferedamixedbag:whiletheheadlinePMIsweakened,outputandRatingDognewordersPMIremainedinexpansionaryterritory.Furthermore,Mayhousingsawanimprovementinsecondaryhomesales,whichmayprovidesomesupportforconsumersentiment.Yet,harddatainMayandJunewouldneedtobouncebackdiscerniblytosupportour2QGDPforecast.
Butevenastherearedownsiderisksto2Q,caveatsexist.First,thiscomesonthebackofaverystrong1Qsuchthat1Hgrowthwouldstillaverage5%ormore.
Seepage26foranalystcertificationandimportantdisclosures.
EmergingMarketsAsia,EconomicandPolicyResearch
SajjidZChinoy
(91-22)6157-3386
sajjid.z.chinoy@
JPMorganChaseBank,N.A.,MumbaiBranch
AnushaMital
(91-22)6157-4113
anusha.mital@
J.P.MorganIndiaPrivateLimited
Contents
Australia:Datacenterboominperspective
5
DataWatches
Japan
7
JapanFocus:Energysubsidiesbroadentocurb
inflation
10
AustraliaandNewZealand
11
GreaterChina
13
Korea
16
ASEAN
18
India
21
Asiafocus
23
RegionalDataCalendars
24
2
SajjidZChinoy
(91-22)6157-3386
sajjid.z.chinoy@
AsiaPacificEconomicResearch
08June2026
Second,someofthedownsidein2Qlikelycanbeattributedtofiscalpolicybeinglessfront-loadedthanwasenvisaged.Theimplicationisthattherewillbelesspaybackin2H,andweaknessextendingtoMayactivitywouldlikelypromptfirmerfiscalactionsinJuneandonwards,especiallyif2QGDPprintsbelowthefullyeargrowthtargetrangeof4.5-5%.Inaddition,ChineseexportsstandtogainfromrisingglobalIPandPMIsbackedbyastrongtechupswing.Allthiswouldbesupportiveof2Hgrowth.Whiledomesticconsumptionremainstepid,itsdragisnotexpectedtobecomemoresignificantin2H.Upcomingtradeandactivitydatawillbekeytoassessthenear-termprospects.
Table1:EMAsiadatarelease
Date
Market
Data
Period
Unit
JPM
Consensus
Previous
Mon,08-Jun
Tue,09-Jun
CN
Tradebalance
May
US$bn
92.0
86.2
84.8
CN
Exports
May
%oya
12.1
15
14.1
CN
Imports
May
%oya
22.9
28
25.3
KR
GDPprelim
1Q
%oya
3.6
3.6
1.6
TW
Tradebalance
May
US$bn
17.2
18.9
14.4
TW
Exports
May
%oya
40.3
42.8
39.0
TW
Imports
May
%oya
41.6
40.3
29.2
Wed,10-Jun
CN
PPI
May
%oya
3.8
3.8
2.8
CN
CPI
May
%oya
1.3
1.4
1.2
Thu,11-Jun
KR
Unemploymentrate
May
%,SA
2.7
2.8
2.8
Fri,12-Jun
IN
CPI
May
%oya
4.0
4.0
3.5
Duringtheweek
Sun,07-Jun
CN
FXreserves
May
US$bn
3405
3400
3411
09-15,Jun
CN
NewloancreationTSFflow
M2
May
May
May
RMBbn%oya
%oya
605
7.7
8.7
-
-
8.6
-10
7.8
8.6
Source:BloombergFinanceL.P.andJ.P.Morganforecasts
3
SajjidZChinoy(91-22)6157-3386
sajjid.z.chinoy@
JPMorganChaseBank,N.A.,MumbaiBranchAnushaMital(91-22)6157-4113
anusha.mital@
AsiaPacificEconomicResearch
08June2026
RegionalEconomicOutlookinSummary
2021NominalGDP,US$Total%ofper
billionregioncapita
RealGDP
%year-on-year
202420252026
Consumerprices
%year-on-year
202420252026
Japan
4,935n.a.40,114
-0.21.10.7
2.73.22.0
Australia
1,634n.a.64,327
1.02.02.0
3.22.84.6
NewZealand
247n.a.48,861
-0.30.21.9
2.92.83.7
EmergingAsia
26,963100.08,048
4.95.14.9
1.20.61.9
exChinaandIndia
6,17522.910,794
3.93.94.5
2.11.62.9
China
17,70665.712,572
4.95.04.7
0.20.01.0
HongKongSAR,China
3681.449,849
2.63.63.4
1.71.41.6
Taiwan,China
7772.933,071
5.38.89.8
2.21.72.0
Korea
1,8096.735,126
2.01.03.0
2.32.12.9
India
3,08211.42,250
7.17.76.5
4.92.15.0
Indonesia
1,1874.44,358
5.05.14.7
2.31.93.5
Malaysia
3731.411,476
5.15.24.6
1.81.41.9
Philippines
3931.53,576
5.74.44.0
3.21.66.8
Singapore
3971.579,601
5.35.04.3
2.40.92.1
Thailand
5061.97,237
2.92.42.1
0.4-0.12.4
Vietnam
3651.43,757
Currentaccountbalance
US$billion
202420252026
7.17.97.3
Currentaccount
%ofGDP
202420252026
3.63.35.3
Foreignreserves
US$billion
202420252026
Japan
n.a.n.a.n.a.
4.64.83.9
n.a.n.a.n.a.
Australia
n.a.n.a.n.a.
-2.2-2.7-2.7
n.a.n.a.n.a.
NewZealand
n.a.n.a.n.a.
-4.8-3.7-4.2
n.a.n.a.n.a.
EmergingAsia
734.71087.91195.5
2.53.53.8
n.a.n.a.n.a.
exChinaandIndia
385.9456.8600.5
5.46.18.3
n.a.n.a.n.a.
China
423.9747.9754.1
2.33.83.6
n.a.n.a.n.a.
HongKongSAR,China
52.554.747.3
12.912.810.5
421426428
Taiwan,China
112.7139.3135.2
14.115.113.6
578585592
Korea
99.0122.7300.8
5.36.615.2
409422426
India
-75.2-116.8-159.1
-2.0-3.0-3.9
n.a.n.a.n.a.
Indonesia
-8.7-10.2-15.7
-0.6-0.8-1.1
149145140
Malaysia
7.29.714.9
1.72.12.8
124127130
Philippines
-17.5-16.3-21.9
-3.8-3.3-4.4
959174
Singapore
98.5100.9128.0
17.216.719.9
n.a.n.a.n.a.
Thailand
11.622.82.3
2.23.90.4
217249270
Vietnam
30.533.19.7
Externaldebt
%ofGDP,endofperiod
202420252026
6.86.61.8
Short-termforeigndebt
US$billion,endofperiod
202420252026
838782
Governmentbalance
%ofGDP,endofperiod
202420252026
Japan
n.a.n.a.n.a.
n.a.n.a.n.a.
-6.1-6.7-6.9
Australia
n.a.n.a.n.a.
n.a.n.a.n.a.
0.0-0.4-0.6
NewZealand
n.a.n.a.n.a.
n.a.n.a.n.a.
-2.6-2.4-2.7
China
n.a.n.a.n.a.
n.a.n.a.n.a.
-3.0-4.0-4.0
HongKongSAR,China
n.a.n.a.n.a.
n.a.n.a.n.a.
-1.80.10.6
Taiwan,China
26.223.522.5
207213221
-0.6-1.0-1.6
Korea
35.637.939.4
146178178
-1.7-1.8-0.5
India
n.a.n.a.n.a.
n.a.n.a.n.a.
-8.3-7.9-7.7
Indonesia
27.425.323.6
434343
-2.7-2.9-3.0
Malaysia
50.647.344.0
119129139
-4.3-3.8-3.5
Philippines
28.530.633.6
212227
-5.7-4.8-6.0
Singapore
n.a.n.a.n.a.
n.a.n.a.n.a.
0.40.40.2
Thailand
37.034.132.1
867575
-4.0-4.7-4.5
Vietnam
46.147.148.1
n.a.n.a.n.a.
-3.6-3.8-4.0
Source:NationalstatisticsauthoritiesandJ.P.Morgan
4
SajjidZChinoy(91-22)6157-3386
sajjid.z.chinoy@
JPMorganChaseBank,N.A.,MumbaiBranchAnushaMital(91-22)6157-4113
anusha.mital@
AsiaPacificEconomicResearch
GlobalDataWatch:Asia
08June2026
Keyeconomicstatistics
1Q25
2Q25
3Q25
4Q25
1Q26
2Q26
3Q26
4Q26
RealGDP,%-chover1quarter,saar
Japan
1.8
1.4
-2.5
0.8
2.1
0.2
1.0
0.8
Australia
1.0
3.9
1.5
3.5
1.1
1.6
1.5
1.9
NewZealand
4.5
-3.4
3.5
1.0
3.3
1.2
3.4
1.2
EmergingAsia
4.6
5.0
4.4
5.8
6.7
3.8
3.3
3.5
exChinaandIndia
2.5
5.7
4.9
6.7
5.9
2.3
2.9
3.0
China
4.9
4.2
3.7
5.2
6.7
4.0
3.2
3.2
HongKongSAR,China
4.6
3.3
3.8
4.3
12.2
3.0
2.8
2.8
Taiwan,China
3.7
16.3
6.7
28.7
6.9
2.2
3.6
3.6
Korea
-0.9
2.7
5.4
-0.6
6.9
1.0
2.0
2.0
India
7.2
8.5
7.5
7.5
8.0
5.1
5.0
6.2
Indonesia
4.9
5.5
5.3
5.7
5.7
3.7
3.3
3.0
Malaysia
5.3
6.1
7.6
6.2
1.4
5.0
4.5
4.0
Philippines
4.9
3.7
1.4
2.4
3.8
4.9
5.7
8.2
Singapore
2.5
7.3
7.8
5.2
3.9
3.0
2.0
2.0
Thailand
1.9
2.2
-1.1
7.6
2.7
-1.1
1.2
2.0
Vietnam
7.8
12.0
8.0
5.0
5.0
4.5
6.0
6.0
Consumerprices,%oya,average
EmergingAsia
1.9
0.7
0.4
0.9
1.4
1.9
2.2
2.0
exChinaandIndia
1.6
1.5
1.5
1.8
2.1
2.9
3.3
3.4
China
-0.1
0.0
-0.2
0.6
0.8
1.2
1.3
0.9
HongKongSAR,China
1.6
1.8
1.1
1.3
1.6
1.6
1.5
1.7
Taiwan,China
2.2
1.6
1.5
1.3
1.2
2.3
2.3
2.2
Korea
2.1
2.1
2.0
2.4
2.1
3.0
3.4
3.2
India
3.9
3.1
1.9
0.8
3.1
4.1
4.9
5.6
Indonesia
0.6
1.8
2.4
2.8
3.9
2.7
3.2
3.6
Malaysia
1.5
1.3
1.3
1.4
1.6
2.0
2.0
2.1
Philippines
2.2
1.4
1.4
1.7
2.8
7.6
8.2
8.7
Singapore
1.0
0.8
0.6
1.2
1.5
1.9
2.6
2.4
Thailand
1.1
-0.3
-0.7
-0.5
-0.5
2.8
3.6
3.9
Vietnam
3.1
3.6
3.4
3.5
4.7
5.9
5.8
5.6
1Q25
2Q25
3Q25
4Q25
1Q26
2Q26
3Q26
4Q26
Officialinterestrates,%p.a.,end-period
JapanPolrateIOER1
0.48
0.48
0.48
0.73
0.73
1.00
1.00
1.25
AustraliaCashrate
4.10
3.85
3.60
3.60
4.10
4.35
4.35
4.35
NewZealandCashrate
3.75
3.25
3.00
2.25
2.25
2.25
2.75
3.00
China7-dayReversereporate
1.50
1.40
1.40
1.40
1.40
1.40
1.30
1.30
Taiwan,ChinaOfficialdiscountrate
2.00
2.00
2.00
2.00
2.00
2.00
2.00
2.00
KoreaBaserate
2.75
2.50
2.50
2.50
2.50
2.50
2.75
3.00
IndiaReporate
6.25
5.50
5.50
5.25
5.25
5.25
5.25
5.25
IndonesiaBIRRrate
5.75
5.50
4.75
4.75
4.75
5.00
5.00
5.00
MalaysiaOvernightpolicyrate
3.00
3.00
2.75
2.75
2.75
2.75
2.75
2.75
PhilippinesReversereporate
5.75
5.25
5.00
4.50
4.25
5.00
5.50
6.00
Thailand1-dayreporate
2.00
1.75
1.50
1.25
1.00
1.00
1.00
1.00
VietnamRefinancingrate
4.50
4.50
4.50
4.50
4.50
4.50
4.50
4.50
1.BoJsetsthepolicyrateonIOER(O/N)andtargets10-yearJGByieldsaspolicyguidance.Source:NationalstatisticsauthoritiesandJ.P.Morgan.
19
TomRyan(61-2)9003-7632
thomas.f.ryan@
J.P.MorganSecuritiesAustraliaLimited
Australia:Datacenterboominperspective
•TheglobalwaveofAIinfrastructurespendinghasdrivenasurgeinAustraliandatacenterinvestment
•Technologysectorcapexisrisingsharply,whilebuild-ingapprovalssignalasteepconstructionupswing
•However,thescaleremainssmallinmacrotermsandimportleakagewillmoderatetheGDPimpact
UptooneineveryfivedollarsapprovedforAustraliannon-residentialbuildingconstructionisnowgoingtowardsbuild-ingdatacenters1(Figure1).Thepick-upreflectsaglobal
surgeinAI-relatedinfrastructureinvestment,withthe
AustralianEnergyMarketOperator(AEMO)forecasting
Australiandatacenterelectricitydemand(aproxyforoutput)totripleby2030.
WehavewrittenseparatelyabouttheimplicationsofAIfortheeconomy,throughinvestmentinsoftware/datacenters,
productivityeffects,andcapitalreturns.Here,weprovideanupdateonthedatacenterinvestmentlifecyclefromconstruc-tiontotheoperationalphase,andprovideestimatesforits
impactonAustralia’sNationalAccounts.
Figure1:Australiandatacenterapprovals
20122014201620182020202220242026
Source:ABS,J.P.Morgan
Valueof'Commercialn.e.c'approvalsProportionoftotal(rhs)
AUDbn,4qsum%ofprivatenon-resibuildingapprovalvalue
25%
20%
15%
10%
5%
0%
16
14
12
10
8
6
4
2
0
Inthenearterm,thedatacenterbuild-outphaseissettoboostnon-residentialconstructionactivity,butthescaleremains
smallrelativetotheeconomyandisunlikelytobeamaterialdriverofGDPgrowth.Growthinbusinesscapitalexpenditureisalsolikelytobesomewhatoffsetbycapitalimports,givenAustralia’slimitedroleinproducingdatacenterhardware.
Onceoperational,upstreamdemandshouldbemostvisiblein
1.IntheABS'functionalclassificationofbuildings,datacentersarecapturedundertheCommercialnotelsewhereclassified(n.e.c)
classification.Thissegmentalsoincludesothercommercialbuildingtypessuchascarwashes,carrepairshops,funeralhomes,mail
sorting,marinabuildings,meteringstations,petboardingfacilitiesandpetrolstations.
GlobalEconomicResearch
03June2026
telecommunicationsandbusinessservices,butagain,importleakageremainsmeaningful.
Spendingbig
Growthintechinfrastructureisalreadyvisibleinamaterialpick-upinplantandequipment(P&E)investmentbythe
technologysector(Figure2).TechnologysectorP&EcapextotalledA$7.3bnthrough2025,orabout0.2%ofGDP.1Q26
datapointtoanothersharpincreaseinactualspendingona
rollingfour-quarterbasis,andfirms'forward-lookingguid-
ancefortheremainderofthecurrentfiscalyearsignalsfur-
therupside.Althoughfirms’expectationsforFY27capital
expendituresitbelowcurrentlevels,firmsovershottheir
planned2025spendingandhavenotreviseddowntheirFY26
intentions,suggestingfurtherupgradesareplausible.Note
thatthesefiguresdonotincludedirecttechspendingbynon-techbusinesses,
e.g.software
investment,currentlycontribut-ingaround+0.1%-ptstoGDP.
Figure2:TechnologyP&Ecapitalexpenditure
AUDbn,sa
201220142016201820202022202420262028
Source:ABS,J.P.Morgan
Actualexpenditure(4qrolling)FY26expectations
FY27expectations
16
14
12
10
8
6
4
2
0
Eventakenatfacevalue,thistrajectory,whileanotablestepupfromitshistoricalaverage,remainssmallasashareoftheoveralleconomy.ComparedtoAustralia’searly2010smin-ingcapexboom,whichpeakedatnearly7%ofGDP,thetechdynamicappearsmuchsmallersofar.Furthermore,while
thereislikelystillupsidefortechnologycapitalexpenditure,ameaningfulshareofdatacenterfit-outreliesonimportedcapitalequipment.CapitalimportsfortechequipmenthavealsobeensurgingandwillmechanicallyoffsetsomeofthegrosscapeximpulsetoGDP.
Layingthefoundations
FromaGDPperspective,thelargerdomesticvalueadded
impulsecomesviaconstructionactivity,whichcanbetrackedfromapprovals(Figure1)throughcommencementsandworkdone(Figure3).Oncurrentpipelinemetrics,theconstructionupswingissteep,butthescalelooksmodestrelativetoaggre-gateoutput.Thevalueofworkunderconstructionhasmore
thandoubledthrough2025toA$14.1bn,whiletheportionstilltobecompletedisA$8.9bn—amodest0.3%ofGDP.
20
TomRyan(61-2)9003-7632
thomas.f.ryan@
J.P.MorganSecuritiesAustraliaLimited
GlobalEconomicResearch
Australia:Datacenterboomin
perspective
03June2026
ThisworkwillbedistributedintomeasuredGDPovermulti-plequartersasitisexecuted,implyingasmallerannual
growthcontribution.Moreover,thelevelofapprovedbutnotyetcommencedworkdoesnotcurrentlypointtoastep-
changehigherfromhere.Amorematerialgrowthimpulsewouldrequirearenewedlegupinapprovals.
Figure3:Datacenterconstructionactivity
AUDbn
15Underconstruction
12Worktobedone
9Workdone(4qrolling)
6Approved,notyetcommenced
3
0
20122014201620182020202220242026
Source:ABS,J.P.Morgan
Upandrunning
Onceoperational,datacenterscontributetogrowththrough
GrossValueAdded(GVA)intheproductionmeasureofGDP.TherelevantABScategory(OtherInformation/MediaServic-es)isbroadandbundlestogetherpublishing,motionpicture
services,TV/radiobroadcasting,librariesanddatacenterser-vices.Thegroupasawholecurrentlyaccountsfor1.4%of
GDP.TakingAEMO'sestimateofatriplinginenergyuseby2030asaproxyforoutputgrowthyieldsacontributionof
+0.3%-ptstoGDPperyearasaplausibleupperbound.In
practice,therealisedimpulseislikelytobemateriallysmall-er.Datacenteroperationsrepresentonlyaportionofthe
broadercategory,andoutputisunlikelytoscaleone-for-onewithcapitalorenergyuse.
UsingtheABSinput-outputtables,relatedupstreaminputstodatacenteroperationscanalsobecomputedbyindustry2.Thelatestavailabledatafor2023-24indicateaservice-heavy
supplychainwithasignificantimportcomponent(Figure4).Telecommunicationsisthedominantupstreaminputat
roughly$25per$100ofoutput,withabout$19sourced
domesticallyand$6imported.Professionalandscientific
servicesfollowat$13,withasecondtierincluding
construction,electronics,softwareengineering,realestate,
administrativeservices,andfinance.GiventhattheABS
input-outputdataarereleasedwithasignificantlag,theinputmixislikelytoevolveasdatacentersbecomealargershareofthesegment.
2.Intheinput-outputtables,datacenteroperationsfallundertheIOIGindustryclassification5701:Internetserviceproviders,
Internetpublishingandbroadcasting,WebsearchportalsandDataprocessing.
Figure4:Top10upstreamdatacenteroperationinputs
Inputcost($)per$100ofoutput%totalintermediateinput,cumulative
30
25
20
15
10
5
0
75
50
25
0
Source:ABS,J.P.Morgan
%total(rhs)
Domestic
Imported
Thesumofupstreamdomesticintermediateinputsyieldsthegrossdomesticoutputmultiplier,ameasureofindustrial
interconnectedness3.Fordatacenters,thismultiplierisesti-matedat0.58x(Figure5),onlymarginallyabovethe
all-industryaverage(0.56x),andbelowconstruction(0.80x)andelectricitygeneration(0.78x).
Figure5:Outputmultipliersandlabourintensitybyindustry
Labourintensity($employeecostper$1ofindustrygrossoutput)
00.20.40.60.81
DomesticoutputmultiplierSource:ABS,J.P.Morgan($intermediateinputuseper$1ofindustrygrossoutput)
Prof.services
Foodservices
Roadtransport
Datacenters
Airtransport
Telecomm.
Health
Softwaredesign
Retailtrade
Wholesaletrade
Education
Socialassistance
Finance
Ironoremining
Fruitandveg
prod.
Non-resiconstr.
Resiconstr.
Petroluem
mfg.
Accomm.Coalmining
Agri.
0.9
0.8
0.7
0.6
0.5
0.4
0.3
0.2
0.1
0.0
Gas
extraction
Thelabourintensity4ofdatacenteroperationsisalsomodest,sittingbelowprofessionalservicesandsoftwaredesign,yet
abovemorecapital-intensiveindustriessuchasminingand
manufacturing.Thisisconsistentwithdatacentersgeneratingmoderate,notoutsized,demandspilloverstootherindustriesandtothelabourmarket.Theoperationalstageshould
thereforesupporttelecomsandbusinessservices,butimportleakageisagainlikelytotemperthenetuplifttoGDP.
3.Input-outputmultiplieranalysisassumesfixedtechnical
coefficients,nosupplyconstraints,constantrelativeprices,andnoinputsubstitution.Largedemandshocksmaytriggerprice
adjustments,capacitylimits,andshiftingimportsharesthataltertherealisedimpact.
4.Measuresoflabourintensityaresensitivetohowlabourincomeisrecognised.Industriesthatrelyheavilyonsolecontractors(e.g.
construction)canappearlesslabourintensive,ascontractor
paymentsarerecordedasbusinessrevenueratherthanwages.
40
AyakoFujita(81-3)6736-1172
ayako.fujita@
JPMorganSecuritiesJapanCo.,Ltd.TakuhoMorimoto(81-3)6736-6682
takuho.morimoto@
Japan
•Alongsidethesupplementarybudgetandoff-bud-getinvestment,aconsumptiontaxcuthasemerged
•Ueda’shawkishremarkspointtoaJunehikethatislargelypricedin;focusshiftstoQT
•Datasuggest2Qconsumptionstartedstrong,underpinnedbyfirmwagegains
•Nextweek:1QGDPtobereviseddown;SMEsen-timenttorecover
Developmentssurroundingfiscalpolicyagaindrewsignifi-
cantattentionthisweek.TheDietapprovedaJPY3.1trillion(0.5%ofGDP)supplementarybudget.MostofitconsistsofreservefundsthattheCabinetcandisburseatitsdiscretion
withoutpriorDietapproval.WhilethespecificallocationwillbedeterminedbytheCabinetgoingforward,alargeportionislikelytobedirectedtowardsenergysubsidies.Inaddition,multiplemediaoutletsreportedthisweekthatthegovernment
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