![BigTech和貨幣政策傳導:基于中國的微觀經(jīng)濟層面證據(jù)_第1頁](http://file4.renrendoc.com/view/73a277854d1c5e6514d58cdd473def42/73a277854d1c5e6514d58cdd473def421.gif)
![BigTech和貨幣政策傳導:基于中國的微觀經(jīng)濟層面證據(jù)_第2頁](http://file4.renrendoc.com/view/73a277854d1c5e6514d58cdd473def42/73a277854d1c5e6514d58cdd473def422.gif)
![BigTech和貨幣政策傳導:基于中國的微觀經(jīng)濟層面證據(jù)_第3頁](http://file4.renrendoc.com/view/73a277854d1c5e6514d58cdd473def42/73a277854d1c5e6514d58cdd473def423.gif)
![BigTech和貨幣政策傳導:基于中國的微觀經(jīng)濟層面證據(jù)_第4頁](http://file4.renrendoc.com/view/73a277854d1c5e6514d58cdd473def42/73a277854d1c5e6514d58cdd473def424.gif)
![BigTech和貨幣政策傳導:基于中國的微觀經(jīng)濟層面證據(jù)_第5頁](http://file4.renrendoc.com/view/73a277854d1c5e6514d58cdd473def42/73a277854d1c5e6514d58cdd473def425.gif)
版權說明:本文檔由用戶提供并上傳,收益歸屬內(nèi)容提供方,若內(nèi)容存在侵權,請進行舉報或認領
文檔簡介
BISWorkingPapers
No1084
BigTechcreditand
monetarypolicytransmission:micro-levelevidencefromChina
byYipingHuang,XiangLi,HanQiuandChanghuaYu
MonetaryandEconomicDepartment
March2023
JELclassification:E52;G21;G23.
Keywords:Financialtechnology,banklending,monetarypolicytransmission.
ISSN1020-0959(print)
ISSN1682-7678(online)
BISWorkingPapersarewrittenbymembersoftheMonetaryandEconomicDepartmentoftheBankforInternationalSettlements,andfromtimetotimebyothereconomists,andarepublishedbytheBank.Thepapersareonsubjectsoftopicalinterestandaretechnicalincharacter.TheviewsexpressedinthemarethoseoftheirauthorsandnotnecessarilytheviewsoftheBIS.
ThispublicationisavailableontheBISwebsite().
?BankforInternationalSettlements2023.Allrightsreserved.Briefexcerptsmaybe
reproducedortranslatedprovidedthesourceisstated.
1
BigTechCreditandMonetaryPolicyTransmission:Micro-LevelEvidencefromChina*
YipingHuangtXiangLi主HanQiu§ChanghuaYu聞
Abstract
ThispaperstudiesmonetarypolicytransmissionthroughBigTechandtraditionalbanks.BycomparingbusinessloansmadebyaBigTechbankwiththosemadebytraditionalbanks,it?ndsthatBigTechcreditampli?esmonetarypolicytransmissionmainlythroughtheex-tensivemargin.Speci?cally,theBigTechbankismorelikelytograntcredittonewborrow-
erscomparedwithconventionalbanksinresponsetoexpansionarymonetarypolicy.The
*Forcomments,discussion,andsuggestions,wethankGeneAmbrocio,GuidoAscari(discussant),ChristophBasten,ChristianeBaumeister,JonathanBenchimol(discussant),SallyChen(discussant),MarcoDiMaggio(discussant),ThomasDrechsel,ZuzanaFung′aˇcov′a,AndreasFuster,LeonardoGambacorta(dis-cussant),EmiliaGarcia-Appendini,AlexandraGutsch,JiayinHu(discussant),YiHuang,BoreumKwak,WeiLi(discussant),ChangMa,AakritiMathur,MrinalMishra,StevenOngena,MelinaPapoutsi,MalteRieth,MatthiasRottner,AlessandroSardone,ChristophSchult,LauraSolanko,IlhyockShim,RubenSta?a,GregorvonSchweinitz,YongjieZhang,andotherscholarsattheChinaFinancialResearchConference;theAsianFAConference;theBankofEnglandworkshoponAdvancedAnalytics:NewMethodsandApplicationsforMacroeconomicPolicy,theCentralBankResearchAssociation2022AnnualMeeting,the9thAnnualConferenceofMITGolubCenterforFinanceandPolicy,BISresearchmeeting,theECBChinaExpertNetworkWorkshop2022;andseminarsattheUniversityofZurich,BankofFinland,andHalleInstituteforEconomicResearch.Anyremainingerrorsareoursalone.
tChinaCenterforEconomicResearch,NationalSchoolofDevelopment,andInstituteofDigitalFinance,PekingUniversity.YiheyuanRoad5,Beijing,100871,China.Workphonenumber:+86106275-4798.Email:
yhuang@
主HalleInstituteforEconomicResearch,Martin-Luther-UniversityHalle-Wittenberg,andInstituteofDigitalFinance,PekingUniversity.KleineMaekerstrasse8,Halle(Saale),06108,Germany.Workphonenumber:+493457753-805.Email:
xiang.li@iwh-halle.de
sBankforInternationalSettlements.78th?oor,TwoInternationalFinanceCentre,8FinanceStreet,Central,HongKong.Workphonenumber:+8522982-7100.Email:
han.qiu@
"ChinaCenterforEconomicResearch,NationalSchoolofDevelopment,andInstituteofDigitalFinance,PekingUniversity.YiheyuanRoad5,Beijing,100871,China.Workphonenumber:+86106275-8935.Email:
changhuayu@
BigTechbank’sadvantagesininformation,monitoring,andriskmanagementarethepo-tentialmechanisms.Inaddition,theusageofBigTechcreditisassociatedwithastrongerresponseof?rms’salesinresponsetomonetarypolicy.
Keywords:FinancialTechnology;BankLending;MonetaryPolicyTransmissionJELCodes:E52;G21;G23
1
1Introduction
Financialtechnology(FinTech)hasbeenamajorphenomenonintherecentdevelopmentof?nancialmarkets.DuringtheCOVID-19crisis,FinTechhasplayedanunprecedentedlyprominentroleinstabilizingandreignitingtheeconomy(
CoreandDeMarco
2021
,
Kwan
etal.
2021
,
BaoandHuang
2021
,
FuandMishra
2021
).Byde?nition,FinTechisabroadconceptthatreferstotheuseoftechnologyinproviding?nancialservices(
FSB
2019
).Whatmakesitstandoutinthelonghistoryof?nancialinnovationisthatthedisruptionthistimehasbeeninitiatedbyplayersoutsidethe?nancialmarketsratherthanwithintheoldsystem.Digitalplatformsformarketplacelendingandcreditissuedbybigtechnologycompanies(BigTech),suchasAntGroup,Amazon,orMercadoLibre,haveposedseriouschallengestothelendingmodeloftraditional?nancialintermediaries(
Bootetal.
2021
).
Figure
1
showsthatBigTechcredithasovertakencreditissuedbydecentralizedplatformsinrecentyears.BigTechcreditaccountsfor2%-3%ofgrossdomesticproduct(GDP)incountrieslikeChinaandKenya.TheseBigTechcreditsareparticularlyimportantformicro,small,andmedium-sizedenterprises(MSMEs),whicharethebackboneofentrepreneurshipandeconomicgrowth.Asoftheyear2018,MSMEsaccountfor99.8%ofestablishments,79.4%ofemployment,and68.2%ofsalesintheChineseeconomy.Armedwithinformation,distribution,andmonitoringtechnologiesbuiltintotheecosystemofBigTechdigitalplat-forms,BigTechlendersareabletoreducerelianceontraditionalcollateralandthuscovermoreborrowersthathavebeenunservedorunderservedbytraditional?nancialinstitutions(
PetersenandRajan
1994
,
BergerandUdell
1995
,
Cornellietal.
2022
).BigTechcredithasbecomeatopconcernforeconomicpolicymaking(
Carstensetal.
2021
,
Adrian
2021
).Asrecognizedby
Philippon
(
2016
)and
Lagarde
(
2018
),thedisruptionbyFinTechbringsa“bravenewworld”formonetarypolicymakersandrequiresre-evaluationofthee?ectivenessofmonetarypolicytransmissionthroughthesenewlenders.Despitetheburgeoninglitera-
2
tureonFinTech,littleisknownaboutitsimplicationsformonetarypolicytransmission.
1
ThispaperbridgesthisgapbyexploringmonetarypolicytransmissionmechanismsthroughBigTechandconventionalbanks.
Total,USDbn
800
600
400
200
0
2013201420152016201720182019
PlatformCreditBigTechCredit
percapita,USD
150
100
50
0
2013201420152016201720182019
PlatformCreditBigTechCredit
Figure1:GlobalFinTechCredit
Datasource:
Cornellietal.
(
2020
).
WeemployauniquedatasetcoveringthefullborrowinghistoryofsampledMSMEsfromamajorBigTechlenderandtraditionalbanksinChina.WeaccessedcreditdatafromtheAntGroup,oneofthedominantBigTechcompaniesbothdomesticallyandinternationally,andmatchwiththeseMSMEs’borrowinghistoryfromtraditionalbanks.OurdatasetcoversmonthlyobservationsofbothBigTechcreditandbankcreditto?rmsfromJanuary2017toDecember2019.Combinedwithvariationsinmonetarypolicy,ourdatasetprovidesanideallaboratoryforinvestigatingmonetarypolicytransmissionmechanismsthroughBigTechlendersandtraditionalbanks.The?ndingsbasedontheevidencefromChinamayshedlightonregulatoryandmonetarypoliciesinothercountriesaswell.
Ouridenti?cationstrategyfocusesontheextensivemargin,capturedbyanewlending
relationshipbetweenabankanda?rm,andtheintensivemargin,capturedbynewlyissued
1See
Allenetal.
(
2021
)forasurveyofFinTechresearchandpolicydiscussion.
3
loanstoa?rmthathasalreadyborrowedfromthebank.WeexploretherelativeresponseofBigTechlendingtochangesinmonetarypolicy,comparedwithtraditionalbanklending.Aftercontrolling?rms’demandforcredit,ourestimatescapturetheimpactofmonetarypolicythroughthecreditsupplyofdi?erenttypesofbanks.Inaddition,weexaminetherealimpacton?rmsofBigTechcreditrelativetoconventionalbankloansbycomparingsalesgrowthinresponsetochangesinmonetarypolicy.
Themain?ndingsofthepaperarethefollowing.We?ndthatBigTechloanstendtobesmaller,andBigTechbanksgrantcredittomorenewborrowers,comparedwithconventionalbanks,inresponsetoexpansionarymonetarypolicy.Inotherwords,whenmonetarypolicyeases,BigTechlendersaremorelikelytoestablishnewlendingrelationshipswith?rms,comparedwithtraditionalbanks.BigTechbanks’advantagesininformation,monitoring,andriskmanagementarethepotentialmechanisms.Comparedwithtraditionalbankloans,BigTechlendingampli?esmonetarypolicytoalargerextentfor?rmsthathaveonlinebusinesses,ratherthan?rmsthathaveonlyo?inebusinesses,andwhenBigTechlendingiscomparedwithsecuredbankloans,ratherthanunsecuredbanksloans.However,BigTechandtraditionalbankcreditsto?rmsthathavealreadyborrowedfromthesebanksrespondsimilarlytomonetarypolicychanges.Overall,BigTechcreditampli?esmonetarypolicytransmissionmainlythroughtheextensivemarginrelativetotraditionalbankloans.Inaddition,monetarypolicyhasastrongerimpactontherealeconomythroughBigTechlendingthantraditionalbankloans.
Thisstudyrelatestothreebranchesoftheliterature.First,wecontributetotheliter-atureonmonetarypolicytransmissionbyfocusingonanewplayer,BigTechlenders,andcomparingtheirresponsestomonetarypolicywiththoseoftraditionalbanks.Thebanklendingchannelofmonetarypolicy(
BernankeandBlinder
1988
,
1992
,
KashyapandStein
1995
)dependsoncross-sectionalheterogeneityinvariousdimensions,includingliquidity,size,incomegap,leverage,andmarketpower(
KashyapandStein
2000
,
Brissimisetal.
4
2014
,
Drechsleretal.
2017
,
Gomezetal.
2021
,
Wangetal.
2021
).Therisktoleranceandriskexposureof?nancialintermediationmayamplifymonetarypolicyshocks,asisfoundby
Coimbraetal.
(
2022
)and
DiTellaandKurlat
(
2021
).Heterogeneityinlenders’techno-logicalcharacteristicsisamissinglinkintheliterature.
2
Recently,
Hasanetal.
(
2020
)and
Hasanetal.
(
2022
)examinetheroleofregionalFinTechpenetrationandbanks’in-housetechnologydevelopmentinthee?ectivenessofmonetarypolicy.
DeFioreetal.
(
2022
)studyBigTech’sresponsetomonetarypolicybasedoncross-countryannualdataandmodeltheroleofBigTechasfacilitatingmatchingbetweensellersandbuyers.
Zhou
(
2022
)emphasizestheroleofsocialnetworkinhelpingFinTechenhancethetransmissionofmonetarypolicytothemortgagemarket.
ThekeyinnovationofourstudyisthatwefocusonthemonetarytransmissionmechanismthroughBigTechlendingrelativetotraditionalbanklendingbyexploringquasi-loan-leveldatabetweenMSMEsandtwotypesoflenders,BigTechandtraditionalbanks.Theevi-dencethatBigTechlendingampli?esmonetarypolicyalsoaddstotherecentliteraturethatinvestigatestheroleofnonbanksinmonetarypolicytransmission(e.g.,
Elliottetal.
2019
,
Chenetal.
2018
).
Second,ourstudyisrelatedtotheburgeoningstudiesontherelationshipbetweenFin-Techlendersandbanks.WecontributetotheliteraturebydirectlycomparingthelendingbehaviorsofthesetwotypesoflenderstothesameMSMEborrowersthroughthelensofauniquedataset.Assummarizedin
Stulz
(
2019
),
Bootetal.
(
2021
),
Thakor
(
2020
)and
Bergetal.
(
2022
),therecentwaveof?nancialtechnologiesisnewandhasbroughtanabun-danceofdataandcodi?cationofsoftinformation.Thesedevelopmentshavestrengthenedscreeningandmonitoring,whichrationalizetheempirical?ndingthatcomparedwithbanks,
FinTechlendersrelymoreonhardinformation.Ontheonehand,manystudiesexamine
2Therearestudiesfocusingon?rms’technologyadoptionanditse?ectonmonetarypolicy,buttheyarelimitedtonon-?nancial?rms.Forinstance,
Consoloetal.
(
2021
)?ndthat?rms’informationtechnologyinvestmentweakensthecreditchannelofmonetarypolicytransmission,and
FornaroandWolf
(
2021
)studytheimpactofmonetarypolicyon?rms’technologyadoptiondecisions.
5
whetherFinTechlendingsubstitutesfororcomplementsbanklending.Forinstance,usingU.S.mortgagelendingandpersonalcreditdata,
Buchaketal.
(
2018
),
DiMaggioandYao
(
2021
),and
DolsonandJagtiani
(
2021
)showthatFinTechlendersusedi?erentinformationtosetinterestratesrelativetobanksandaremorelikelytoservenonprimeconsumers.UsingconsumerlendingdatafromLendingClubandbanksintheUnitedStates,
Jagtiani
andLemieux
(
2018
)and
Hughesetal.
(
2022
)showthatFinTechpenetratesareasthatareunderservedbybanks.
Surietal.
(
2021
)and
ErelandLiebersohn
(
2022
)?ndthatFinTechcouldimprove?nancialaccessandresilience.
GopalandSchnabl
(
2022
)documentthatFinTechlenderssubstitutedforthereductioninbanklendingtosmallbusinessafterthe2008?nancialcrisis.
Tang
(
2019
)and
Beaumontetal.
(
2022
)showthatFinTechlendingsubstitutesbanklendingforinfra-marginalbankborrowersbutcomplementsbanklendingwithrespecttosmallloans.
Liuetal.
(
2022
)comparesyndicatedloansbyaBigTechlenderandatraditionalbankinChinaand?ndthatBigTechloanstendtobesmaller,havehigherinterestrates,andarerepaidfarbeforematurity.
Buchaketal.
(
2021
)useChinesedatatoshowthatFinTechfacilitatestheinterestrateliberalizationofbanksthroughcompetitionindeposit-likeproducts.Otherrecentstudies,suchas
PierriandTimmer
(
2022
),
Linetal.
(
2021
),
Kwanetal.
(
2021
),
Heetal.
(
2021
),
Hasanetal.
(
2022
),and
Modietal.
(
2022
),focusontechnologyadoptionbybanksandexamineitsimpactonlending.Although
Stulz
(
2019
)highlightsthespecialroleofBigTechcredit,thereislittleevidenceonthedi?erenceincorporatelendingbetweenBigTechlendersandbanks,inparticulartheirresponsestomonetarypolicyshocks.Thisstudy?llsthisgapintheliterature.
Third,thispaperalsocontributestotheliteratureon?nancialinnovationandeconomicgrowth,byhighlightingtheimpactofBigTechcrediton?rmperformance.Manystudiesfocusonthereale?ectsoftheinnovationsofnon-?nancial?rms,suchas
Akermanetal.
(
2015
),
Beaudryetal.
(
2010
),and
Autoretal.
(
2003
).Thesestudiesdwarfthoseontech-nologicalinnovationinthe?nancialsector,whichmayspureconomicgrowth.Forinstance,
6
Becketal.
(
2016
)showthatbankinginnovationisassociatedwithhighergrowthincountriesandindustrieswithbettergrowthopportunities.
GortonandHe
(
2021
)?ndthatbankinginnovationcontributestoeconomicgrowthbyallowingbankstoo?erlongermaturityloanstotherealsectorwithhigherproductivity.Bycontrast,researchonthereale?ectsofFin-TechorBigTechcreditisquitelimited.
Chenetal.
(
2022
),
E?caetal.
(
2021
),
Ahnertetal.
(
2021
),and
Becketal.
(
2022
)documentthataccesstoFinTechcreditreducessalesvolatil-ity,increasessalesgrowth,andspurs?rminvestmentandentrepreneurship.Inthisstudy,weprovidefurtherevidencetoshowthat,comparedwithtraditionalbanklending,BigTechcreditincreasesMSMEs’salesgrowthinresponsetochangesinmonetarypolicy,echoingtherealimpactofmonetarypolicyasin
GertlerandGilchrist
(
1994
).
Therestofthepaperisstructuredasfollows.Section
2
describestheinstitutionalbackgroundofBigTechcreditinChina,thedataconstruction,andthevariablesusedinthepaper.Section
3
illustratestheidenti?cationstrategiesandreportstheempiricalresults.Section
4
providesfurtherdiscussion.Section
5
concludes.
2DataandVariables
ChinahasgraduallybecomealeadingplayerinBigTechcredit.AccordingtoboththetotalandpercapitaBigTechcreditofthetopsixcountriesfrom2013to2019(seeFigure
A1
intheappendix),China’sBigTechcredithasdominatedothercountriessince2017.Ontheonehand,aidedbyadvantagesininformation,technology,distribution,andmonitoringbuiltintoBigTechplatforms’ecosystems,BigTechcompanieshaveaccesstomillionsofunservedandunderservedcreditusersatverylowcost,particularlyMSMEs.Ontheotherhand,thegovernment’sregulatorytoleranceintheearlystagedevelopmentofFinTechhasplayedanimportantroleinsupportingtherapidexpansionofBigTechcredit(see
Chui
2021
).DoesBigTechcreditsubstitutefororcomplementtraditionalbanklendingto?rmssinceboth
7
typesofcreditprovidersmayfacethesamepoolofpotentialcreditusers?IsBigTechcreditmoreresponsiveto?nancialmarketconditions,suchasthemonetarypolicystance,partic-ularlyindevelopingcountrieslikeChina?China’sBigTechcreditdi?ersfromthatofothercountriesinmanydimensions.Oneimportantdi?erenceisthatunlikeintheUnitedStatesandotheradvancedeconomies,BigTechlendinginChinaisdominatedbybusinesslend-ingratherthanmortgagelending.WillBigTechcreditreduce?rms’,particularlyMSMEs’,?nancialconstraintsandboosttheirgrowth?
Toaddressthesequestions,weusedatafromthebiggestBigTechcreditproviderinChina,MYBank.MYBankisownedbytheAntGroup,whichisana?liatecompanyoftheAlibabaGroupandoperatesvirtuallywithoutphysicalbranches.Sinceitslaunchin2015,MYBankhasfollowedthesamerulesandpoliciesoftheChinaBankingandInsuranceRegulatoryCommission(CBIRC)astraditionalbanks.
3
MYBankmainlyserveshouseholdsandMSMEssuchase-commercesellersandQRcodeo?inemerchants.TheAntGroupownstheworld’slargestdigitalpaymentplatform,Alipay,whichiseasytoaccessandusebybothmerchantsandcustomers.Bothe-commercesellersandQRcodeo?inemerchantsleavedigitalfootprintswhentheyuseAlipaytosettleonlineoro?inetransactions.Armedwiththisinformationandanadvancedriskmanagementmodel,MYBanko?ersloanswitha“contact-freefeature,”withoutanyvisitstophysicalbankbranches,underaso-called“310”model.Thatis,MYBankpromisesthecompletionofuserregistrationandloanapplicationwithin3minutes,moneytransfertoanAlipayaccountwithin1second,and0humanintervention.MoreinstitutionalbackgroundonMYBankandotherBigTechlendersinChinacanbefoundin
Frostetal.
(
2019
),
Huangetal.
(
2020
),
Hongetal.
(
2020
),
Hauetal.
(
2021
),
Gambacortaetal.
(
2022
),and
Liuetal.
(
2022
).
3TheChinaBankingRegulatoryCommission(CBRC)wastheagencythatregulatedthebankingsectorinChina.InApril2018,itwasmergedwiththeChinaInsuranceRegulatoryCommission(CIRC)toformtheCBIRC.
8
DepositRatio(%)
60
40
20
0
2015201620172018201920202021
MYBankTraditionalBanks
Profitability(%)
1
.5
0
?.5
2015201620172018201920202021
MYBankTraditionalBanks
CapitalAdequacyRatio(%)
20
15
10
5
0
2015201620172018201920202021
MYBankTraditionalBanks
NPLRatio(%)
2
1.5
1
.5
0
2015201620172018201920202021
MYBankTraditionalBanks
Figure2:MainIndicatorsforMYBankandTraditionalBanksSources:AnnualReportofMYBank;CBIRC.
Therearesimilaritiesanddi?erencesbetweenMYBankandtraditionalbanks.Both
typesofbanksareregulatedbytheCBIRC,attractdeposits,andlendtocreditusers.Theymayhavedi?erentlendingmodels.Traditionalbanksusuallyrequirein-personinteractionandinspectiontoissueloansandthereforetaketimetoapproveloanapplications.MYBankissuesloansveryquicklybyusingvarioussoftandhardinformationfromtheAntGroupanditsparentcompany,theAlibabaGroup.Therepaymentschedulecouldbedi?erenttoo.LoansfromMYBankcanberepaidearlywithoutanycost(
Liuetal.
2022
).Figure
2
showsthemain?nancialindicatorsforMYBankandothertraditionalbanksfrom2015to2021,includingthedeposit-to-assetratio,pro?tabilitycalculatedastheratioofnetincometoassets,capitaladequacycalculatedastheratioofcapitaltorisk-weightedassets,andtheratioofnonperformingloans(NPLs)toassets.The?gureshowsthataftertheyearofitslaunch,2015,MYBankhastendedtodependlessonexternal?nanceviaattracting
9
deposits,haveaslightlylowercapitaladequacyratiothantraditionalbanksonaverage,buthavelowerpro?tabilityandNPLratio.Lowerpro?tabilitymaybeassociatedwithhighercompetitioninthecreditmarket,andthelowerNPLratiowouldimplythatMYBankmayhavebetterriskmanagementviaabundantinformationandadvancedtechnologies.
2.1DataConstruction
MYBankservesbothhouseholdsand?rmsinChina.Forourpurpose,wemainlyfocusonMYBank’sentrepreneurialcustomers.Weexplorehowmonetarypolicya?ectscreditexpansionandcontractiondi?erentlythroughMYBankandtraditionalbanks.Bothonlineando?ineentrepreneurialcustomerssettletransactionsviaAlipayandleavetheirdigitalfootprintsontheecosystemoftheAntGroup.Moreover,thebusinessactivitiesofonlinemerchantsonthedigitalplatformsoperatedbytheAlibabaGroupprovideadditionalin-formationforMYBanktoevaluatetheriskofthesemerchants.MYBank’slendingmodelmightrespondtomonetarypolicyquitedi?erentlycomparedwithtraditionalbanks.
DuetoMYBank’sdataregulationpolicy,weobtaineda10%randomsampleofits?rmcustomersfromJanuary2017toDecember2019.Wedroppedinactive?rmsbythefollowingcriter
溫馨提示
- 1. 本站所有資源如無特殊說明,都需要本地電腦安裝OFFICE2007和PDF閱讀器。圖紙軟件為CAD,CAXA,PROE,UG,SolidWorks等.壓縮文件請下載最新的WinRAR軟件解壓。
- 2. 本站的文檔不包含任何第三方提供的附件圖紙等,如果需要附件,請聯(lián)系上傳者。文件的所有權益歸上傳用戶所有。
- 3. 本站RAR壓縮包中若帶圖紙,網(wǎng)頁內(nèi)容里面會有圖紙預覽,若沒有圖紙預覽就沒有圖紙。
- 4. 未經(jīng)權益所有人同意不得將文件中的內(nèi)容挪作商業(yè)或盈利用途。
- 5. 人人文庫網(wǎng)僅提供信息存儲空間,僅對用戶上傳內(nèi)容的表現(xiàn)方式做保護處理,對用戶上傳分享的文檔內(nèi)容本身不做任何修改或編輯,并不能對任何下載內(nèi)容負責。
- 6. 下載文件中如有侵權或不適當內(nèi)容,請與我們聯(lián)系,我們立即糾正。
- 7. 本站不保證下載資源的準確性、安全性和完整性, 同時也不承擔用戶因使用這些下載資源對自己和他人造成任何形式的傷害或損失。
最新文檔
- 現(xiàn)代農(nóng)技在醫(yī)療保健領域的創(chuàng)新應用以煙草種植為例
- 匯報在項目管理中的重要作用
- 現(xiàn)代市場營銷中的網(wǎng)絡直播工具選擇與應用
- 現(xiàn)代商業(yè)項目中的綠色建筑策略
- Unit 3 Transportation Period 1(說課稿)-2024-2025學年人教新起點版英語四年級上冊
- 2024-2025學年高中地理上學期第十三周 中國地理分區(qū) 第一節(jié) 北方地區(qū)說課稿
- 2024年三年級品社下冊《這周我當家》說課稿 遼師大版
- 5 數(shù)學廣角 - 鴿巢問題(說課稿)-2023-2024學年六年級下冊數(shù)學人教版
- 16 表里的生物(說課稿)-2023-2024學年統(tǒng)編版語文六年級下冊
- 2023九年級數(shù)學下冊 第24章 圓24.4 直線與圓的位置關系第2課時 切線的判定定理說課稿 (新版)滬科版
- 我國糖尿病視網(wǎng)膜病變臨床診療指南2022解讀
- 鋰離子電池健康評估及剩余使用壽命預測方法研究
- c30混凝土路面施工方案
- 頸椎骨折的護理常規(guī)課件
- 電商運營銷售計劃Excel模版
- 2022-2023學年上海市楊浦區(qū)上海同濟大附屬存志學校七年級數(shù)學第二學期期中綜合測試模擬試題含解析
- 稿件修改說明(模板)
- GB/T 33107-2016工業(yè)用碳酸二甲酯
- GB/T 16604-2017滌綸工業(yè)長絲
- 勞動合同法經(jīng)典講義
- 工時定額編制標準(焊接)
評論
0/150
提交評論