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NBERWORKINGPAPERSERIES
ARESOFTWAREAUTOMATIONANDTELEWORKERSSUBSTITUTES?PRELIMINARYEVIDENCEFROMJAPAN
RichardBaldwin
ToshihiroOkubo
WorkingPaper31627
/papers/w31627
NATIONALBUREAUOFECONOMICRESEARCH
1050MassachusettsAvenue
Cambridge,MA02138
August2023
WethankDavidGreenaway,RichardKneller,andJonathanDingelforconstructivecommentsandsuggestions.WealsothankNIRA(ReikoKanda,AtsushiInoue,andKozueSekijima),andKoheiAndoforsurveypreparation,datacleaning,datapreparationandexcellentassistance.FinancialsupportfromJSPS(23H00821,19H01487),KeioUniversity(ResearchProjectforNextGeneration),andNIRAisgratefullyacknowledgedbyToshihiroOkubo.TheviewsexpressedhereinarethoseoftheauthorsanddonotnecessarilyreflecttheviewsoftheNationalBureauof
EconomicResearch.
NBERworkingpapersarecirculatedfordiscussionandcommentpurposes.Theyhavenotbeenpeer-reviewedorbeensubjecttothereviewbytheNBERBoardofDirectorsthataccompaniesofficialNBERpublications.
©2023byRichardBaldwinandToshihiroOkubo.Allrightsreserved.Shortsectionsoftext,nottoexceedtwoparagraphs,maybequotedwithoutexplicitpermissionprovidedthatfullcredit,including©notice,isgiventothesource.
AreSoftwareAutomationandTeleworkersSubstitutes?PreliminaryEvidencefromJapanRichardBaldwinandToshihiroOkubo
NBERWorkingPaperNo.31627
August2023
JELNo.F6
ABSTRACT
Digitaltechnologyisreshapingworkplacesbyenablingspatialseparationofoffices,knownastelework,orremoteintelligence(RI),andbyfacilitatingautomationofservicesectortasksviaartificialintelligence(AI).ThispaperisafirstattempttoempiricallyinvestigatewhetherAIandRIarecomplementsorsubstitutesintheservicesector.Itusesaworker-levelpanelofsurveyscollectedfromaround10,000workersfrompre-COVID-19pandemictolate2022,wefindpreliminaryevidencethatsuggeststhatAIandRIarecomplementsratherthansubstitutes.TheevidencecomesfirstfromthepositivecorrelationofinvestmentsinAI-promotingandRI-promotingsoftwareatthefirmandworkerlevel,andsecondfromthepositivecorrelationofworkers'expectationsregardingteleworkandsoftwareautomation.Theevidenceisfarfromdefinitivebutsuggeststhatthecomplement-substitutionquestionisafruitfullineforfutureresearch.
RichardBaldwin
GraduateInstitute,Geneva
GenevaChem.Eugène-Rigot2
1202Genève
Switzerland
andCEPR
andalsoNBER
rbaldwin@
ToshihiroOkubo
KeioUniversity
2-15-45MitaMinato-ku
TokyoJapan
okubo@econ.keio.ac.jp
2
1Introduction
Digitaltechnologyisreshapingworkplacesinwaysthatwereunimaginablejustafewyearsago.Thisishappeningintwodistinctways.First,digitechisunbundlingofficesinthesensethatsomeservicetasksthatweretraditionallyperformedbyworkerssittingphysicallyclosetoeachothercannowbeundertakenatadistance.Second,digitechisallowingmanymoreservicesectortaskstobeautomatedbysoftware.
Teleworkisonenameforthefirstimpactofdigitaltechnologyandthekeypointisthatdigitaltechnologyismakingremoteworkincreasinglyeasy.Ofcourse,teleworkingisnotanewphenomenonandfirstappearedinthe1970s(Nilles,1975;Aguileraetal.2016).Therewerealwayssomeworkerswhoworkedremotely–‘roadwarriors’wasonenameforserviceworkerswhoroutinelyparticipatedinofficeworkwhiletravellingvialaptops,emails,andmobilephones(Bloometal.2018).SincetheCovid-19restrictionsrequiredorencouragedworkerstoworkfromhome,thissortofteleworkhasbecomefarmorecommon(Kahn,2020).Thekeytechnicalinnovationsincludeimprovedcollaborativesoftwaresuites,videoconferencingapps,andsecure,cloud-baseddocumentsharingandediting.Todatemuchoftheteleworkisdonebydomesticworkers,butthetrendtowardsusingforeignremoteworkersiswellunderway–aphenomenonthatcanbecalledtelemigration.
Thesecondmajorimpactofdigitaltechnologyonworkpatternsconcernsautomationofmanytasksrelatedtoservicejobs.TherecentbreakthroughsingenerativeAI,suchasChatGPT,aretransformingmanyofficeandprofessionaljobs.ButevenbeforeChatGPT,softwaresuchasRoboticProcessAutomation(RPA),chatbots,andautomatictranslationappswereautomatingmanytaskstraditionallyperformedbyofficeworkersandprofessionals.Collectively,suchsoftwaremightbecalledsoftwarerobots,orwhite-collarrobots(todistinguishthesefromthemorefamiliarindustrialrobots).
Thekeyinnovationherewastherapidadvanceofmachinelearning.Before2017(theyearFortuneMagazinecalledtheyearofAI),computerscouldonlyperformtaskstheautomatedhumanthinkingoftheanalytic,conscioustype–whatDanielKahnemancalls‘thinkingslow’(Kahneman,2011).Thereasonwasduetothenatureofcomputerprogramming.Writingcoderequiresthecodertounderstandthementalprocessthatisbeingtaughttothecomputer.Computerscouldnotdointuitive,unconsciousthinking–likerecognizingfacesinphotos,ortranslatinglanguages–sincehumansdidnotunderstandhowhumansthinkintuitively(westilldonot).Anewwayofwritingcomputerprogramsrelaxedthisconstraint.AformofAI,calledmachinelearning,alloweddatascientiststoestimateverylargeandverycomplexstatisticalmodelsthatmimichumanunconsciousthinking–orwhatKahneman(2011)calls‘thinkingfast’.Since2017,computersareasgoodorbetterthanhumansinsomeinstinctual,unconsciousmentaltasks—thingslikerecognizingspeech,readinghandwriting,andidentifyingobjectsinphotos.Therateofadvanceinthisfieldisastounding.
Themergerofthesetwoemergenttrends–globalisationandrobotisationofservicesectortasks–hasbeencollectivelyreferredtoasthe"GloboticsUpheaval"(Baldwin,2019).In2022,thepossibilityofdigitaltechnologydisruptingworkplacesanddisplacingjobsisnolongeraconjecture.Moreover,ineconomieswherejobsarethefoundationofeconomicprosperityandsocialstanding,thedisruptivenatureofcompetitionfromdistantteleworkersandnearbyservicetaskautomationsoftwareisareal
concern.
Thedualnatureofthedigitechimpactonthefutureofworkpromptsanimportantquestionabouttherelationshipbetweenservicesectorautomationandoffshoring:aretheycomplementsorsubstitutes?IsAIappliedinofficesasubstituteforremoteintelligence(RI)employedinoffices?Ortoputitmoredirectly,willteleworkingmakeitmorelikelythatyouremployerwillautomatepartorallofyourjob?Oneexamplewheretheyareclearlysubstitutableisinthedomainofcallcenterswhereautomationisreplacingremoteworkers.Callcenters,anintegralpartofmanyservice-sectorbusinesses,oftendeliveressentialsupportservicesusingworkerslocatedinlowercostplaceswithinthesamecountryoreveninothercountries.Inrecentyears,however,manyofthejobsinthesecallcentersarereplacingworkerswithchatbots,whicharejustAI-driveautomationsoftware.Anexample
3
presentedintheMITTechnologyReview(Hao,2020)relateshowthelocalgovernmentinOtsegoCountyNewYorkusedIBM’s‘WatsonAssistantforCitizens’torespondtothesurgeinroutinequestionsaboutCovid-19whilecuttingstaffbyhalf.Duringthepandemic,IBMsawatwo-fifthsboostintheuseofitsWatsonAssistant.TheemergenceofverycapablechatbotshasledtoareductionofhumansemployedincallcentersinthePhilippinesandIndia.Asusualitisnotafullsubstitution,sincehumansstillliketotalktohumans,andchatbotsdonothavetheanswertoeveryquestionbutaschatbotsadvance,thenumberofhumansneededwillfall.
Anothertypeofworker-substitutingautomationiscalled‘RoboticProcessAutomation’(RPA).AsJasonKingdon,whochairsanRPAcompany,BluePrism,describesthem:“Theymimicahuman.Theydoexactlywhatahumandoes.Ifyouwatchoneofthesethingsworking.…youseeittyping.Screenspop-up,youseeitcuttingandpasting.”RPAsaredesignedtoworkasanautomatedofficeworkerwhichiswhyBluePrismcallsthesoftwarerobots.ThecommercialinterestinRPAliesinthewayitcanreducethenumberofworkersinback-officeprocesses.RPAsarealsomoreconsistentthanworkersandtheycreateadigitalrecordoftheiractivity.RPAsneedhumanbackupfordifficultcases,butthenumberofworkersisreduced.Asmanyofthese‘assemblyline’informationprocessingjobswereshiftedtoteleworkduringthepandemic,RPAcanbethoughtofasbeingasubstituteofRI.
Onthecomplementside,oneobviousautomationsoftwarethatbooststheuseofremoteworkersisautomatictranslation.Withthewidespreadadoptionofmachinetranslationtechnology,remoteworkhasbecomeincreasinglyaccessibletonon-Englishspeakingworkers.Formanyservicetasks,allthatisneededisaccesstotheinternetconnection,alaptop,andtherequisiteskills.WithsoftwarelikeGoogleTranslate,DeepLTranslator,orBingMicrosoftTranslator,workerslivingincountrieswhere$5anhouraffordsamiddle-classlivingcanpotentiallybeworkmateswithofficeworkersinwealthiernations.HereAIisacomplementtoRIsincetheAIismakingtheRIeasiertodoforworkerswithoutlanguageskills.Inessence,theAImakesiteasierforforeignbasedfreelancersandremoteworkerstodelivercontentinEnglishevenwhentheyarenotnativespeakers.
LiteratureReview
TheliteratureontheimpactofComputers/Robots/ICT/AIonlaborhasbeengrowinginthelastdecades(Acemoglu,2007;Autoretal.2013;AcemogluandRestrepo,2018).ThetheoreticalworkhasfocusedontheimpactoftechnologicaladvancessuchasICTandrobotsonemploymentandwages.Autoretal.(2003),forinstance,modelledunskilledworkersasperformingmostlyroutinetasks,andskilledworkersasperformingmostlynon-routinetasks.Theimpactofautomationonthetwotypesoflabordependsuponwhetherthetechnologyissubstitutablefororcomplementarytothetwotypesoftasks.Assumingautomationisasubstituteforroutinetasksbutacomplementtonon-routinetasks,automationraisesthegapbetweenjobopportunitiesandwagesforunskilledversusskilledlabor.ThisaccountsforpolarizationintheUSlabormarket.Goosetal.(2007,2009,2014)foundthatunskilledlaborshiftedfromreplaceablejobsbyautomationtonon-replaceablebutlow-incomejobsintechnologicalchangeinEurope.Beyondthis,asshowninBrynjolfssonandMcAfee(2014)andFord
(2016),automationisdeeplyspreadoverthelabormarketinmanydimensions.FreyandOsborne
(2013)predictedaroundhalfofoccupationswillbedisruptedbyautomationinthefuture.
Turningtoremoteintelligence(RI),therearealreadysomestudiesonremoteworkbeforethepandemicinworker-levelanalysisoflaboreconomics.Remoteworkhasseveraladvantagessuchasimprovingwork-lifebalance(Dutcher,2012;CoenenandKok,2014;Kazekami,2020)andproductivities(Bartiketal.2020).WiththespreadofCovid-19,studiesontheimpactofteleworkingoneconomiesincreased(Adams-Prassl,etal.2022;2023;Alipouretal.2021;2023;Bonacinietal.,2021;KawaguchiandMotegi,2021;Morikawa,2022;Mongeyetal.2021;Okubo,2022;Okuboetal.2021).DingelandNeiman(2021)suggestedthattherearesomespecificoccupationssuitableforremotework.TheirderivedremoteworkableindexbyoccupationbasedonO*NETinformationfoundthat37%ofjobsintheUnitedStatescanbeperformedentirelyathome.
4
Asfarasweknow,nostudieshaveinvestigatedthenexusofautomationbyAIandremoteworkbyRIintheirlong-runaspects.OurpaperisaimedatinvestigatingthesubstitutabilityofAIandRItolaboratoccupationallevelandprovidingevidencefromJapaneseworker-levelsurveys.Furthermore,thesurveyweuseisuniqueinthatitdirectlyaskedworkersabouttheiruseandtheircompany’suseofAIandRIaswellastheirexpectationsconcerningtheimpactofAIandRIontheirownjobsinthefuture,andwhethertheyseeAIandRIassubstitutesorcomplementstotheirjobs.Inaddition,thesurveygathersextensiveinformationontheworkers’basiccharacteristics,thetaskstheirjobinvolves,andinformationontheirfirm.
Planofpaper
ThispaperinvestigatesthesubstitutabilityofAIandRIattheoccupationallevelinthecontextofJapanusingauniquepanelofsurveyscollectedfromabout10,000workerswithastartdatethatwasjustbeforetheCovid-19shockandcontinueduntillate2022.
Theinvestigationstartsbyexaminingthetechnicalteleworkabilityandautomatabilityofoccupationsasafirststeptolookingattheactualco-movementofteleworkandsoftwareautomation.Thisisbasedonexanteevaluationoftheoccupationdescriptions.ThemostfamousoftheseisDingelandNeiman(2020)whichexaminesthejobdescriptionsontheUS’sO*NET.AsimilarexercisehasbeendoneusingJapan’sO*NETbyKotera(2021).Whenitcomestoautomatability,welookatthefamousFrey-OsbourneindexofautomatabilitytogaugehowautomatabilityofvariousoccupationsinUS.Equivalently,FreyandOsbourne(2015)calculatedtheindexofautomatabilityforcaseofJapanincollaborationwithNRI(NomuraResearchInstitute).
Tosummarizethetechnicalfeasibilityforvariousoccupations,weintroducethe"Globoticsquadrantdiagram,"whichmapsoccupationsintoatwo-dimensionalchartbasedontheirautomatabilityandteleworkability.ThescatterchartisusedtoillustratedataforboththeUnitedStatesandJapan.Thecentralargumentisthatwhilesomeoccupationsarebothautomatableandteleworkable,manyothersaresuitedtoonlyoneorneither,asdeterminedbystandardmeasuressuchastheDingel-NeimanindexforteleworkandtheFreyandOsborneindexforautomatability.
ThesubsequentsectionofthepaperexaminestheimpactoftheCOVID-19pandemicinJapanontherelationshipbetweenAIandRIusingdatafromthesurvey,whichwasconductedbyToshihiroOkubo(KeioUniversity)andNIRA(NipponInstituteforResearchAdvancement).Whilethesurveyprovidesdetailedinformationonthenumberofworkerswhoswitchedtoteleworking,itlacksdataonthenumberofworkerswhowerereplacedbywhite-collarrobots.Thus,adirecttestofthesubstitution-versus-complementarityquestioncannotbeassessed.However,thesurveydoesprovideinformationonfirms'useofsoftwarethatfacilitatesteleworkandautomationofofficetasks,respectively.
Usinginformationonfirms’usageofpro-RIandpro-AIsoftware(asreportedbytheworkers),andtheexogeneityoftheCOVID-19shock,thepaperexamineswhetherfirms'investmentsinAI-promotingsoftwareandRI-promotingsoftwarewerepositivelyornegativelycorrelated.Giventhattheriseinteleworkwasdirectlyinducedbythepandemic,whiletheadoptionofautomationsoftwarewasnot,apositivecorrelationwouldsuggestthatAIandRIarecomplements,whileanegativecorrelationwouldsuggestsubstitution.Inshort,westudywhethercompaniesthatusedmoreteleworkinvestedinmoreorlessservice-tasksoftwareautomation,likeRPA.
Thefinalsubstantivesectionturnstoanotherindirectproxyforsubstitutionandcomplementarybehavior.Thesurveyincludesquestionstoworkersabouttheirexpectationsaboutfutureuseofteleworkandsoftwareautomation.ThisevidencestrandprovidesadditionalinsightintotherelationshipbetweenRIandAI.
Whiletheevidencepresentedinthispaperisnotconclusive,whatisclearisthatonthewholeteleworkandautomationdonotseemtobesubstitutes.Weshowthatteleworkandautomationaretechnicallypossibleformanyoccupations,butthereisnoclearevidencethatautomationwasless
5
usedinoccupationswhereteleworkrosethemost.WetakethisaspreliminaryevidencethatinthecontextoftheCovid-19shock,AIandRIareeitherindependentorcomplementsnotsubstitutes.
2TeleworkabilityandautomatabilityintheUSandJapan:The
globoticsquadrantdiagram
Thingscanbesubstitutable,complementary,orindependent.Theideaofsubstitutabilitymeanstwothingscanbereplacedbyoneanother;complementaritymeanstwothingsareusedtogether.Itisalsopossiblethatthetwothingsareindependentandhavenothingtodowitheachother.Thesedefinitionsareimportantwhenwethinkaboutofficeautomationandteleworkbecausenotalljobscanbeautomatedandnotallcanbedoneviatelework.
Thepossibilitythatautomationandremoteworkaresubstitutesorcomplementsarisesforoccupationswherebothautomationandteleworkarefeasible.Incontemplatingtheirimpact,wemustfirstdeterminewhichoccupationsarecapableofbeingautomatedandperformedremotely.Toclassifyoccupationsbasedonthissuitability,weintroducethe“globoticsquadrant”diagram.Itallowsustoassesstheteleworkabilityandautomatabilityofeachoccupation,thusdeterminingthepotentialforautomationtosubstituteforremoteworkandviceversa.
2.1Whichservicejobsareoffshoreandautomatable?
Sincetheonsetofthepandemicin2019,economistshavemadeseveralattemptstoclassifyoccupationsintoteleworkableandnon-teleworkablecategories.ThemostfamouswasbyDingleandNeiman(2020)fortheUS,whilstthebest-knowneffortwasbyFreyandOsborne(2013).ThesearethemeasuresweuseinthefirstinstancewhenlookingattheUS.
Weplotoccupationsinaquadrantdiagram,whatwecalltheGloboticsQuadrant(Figure1)
3
.Thehorizontalandverticallinesaredrawnatthemeanvalueforalloccupations,sooccupationstotheleftoftheverticallinearelessthanaverageautomatableandthosebelowthehorizontallinearelessthanaverageteleworkable.WhiletheoriginalFrey-OsborneandDingle-NeimanestimatesweredoneattheBLSoccupationlevel,itwouldbetooclutteredtopresentallinasinglediagram,sowehaveaggregatedtheBLSoccupationsintoJapan’s38occupations(NIRAclassification)weightedbyoccupationallaborforceinJapan(PopulationCensus)(SeeAppendixTable).WefirstfocusonlyonUSdata.BelowwecontrasttheseresultswithsimilarmeasuresforJapan.
3OriginalideaandbasicconceptofthediagramonpolicyperspectivewerefirstlyproposedbyOkubo(2022c).
6
Figure1:TheUSgloboticsquadrant:occupationsbyautomatabilityandteleworkability
Source:Authors’elaborationofdatafromDingel-Neiman(telework),andFrey-Osbourne(automatability).Note:Eachpointrepresentsanoccupation;x-axisshowstheautomatabilityscore(from0to1),andy-axisisteleworkableScore(0to1).OccupationsgroupedintoJapan’sNIRA38aggregates.
Toreadthediagram,keepinmindthefactthatoccupationsintheNortheastquadrantareexposedtoaboveaverageoffshorability(takingteleworkabilityasaroughindicatorofoffshorability)andtoaboveaverageautomation.ThoseintheSouthwestareexposedtobelowaverageteleworkabilityandautomatability.Intheothertwoquadrants,theoccupationshaveaboveaverageexposuretoteleworkabilityorautomatabilitybutbelowaverageexposuretotheother.ThelabelsinthediagramshowthenumberofUSworkerswithoccupationsineachofthequadrants.
Thekeytakeawaysaresimple.First,occupationsarespreadacrossallfourquadrants,sotheimpactofadvancingdigitaltechnologywillvarygreatlybyoccupation.TherecanbenouniversalanswertothequestionofwhetherAIandRIarecomplementsorsubstitutes.Forparticularoccupations,AIandRIcanbesubstitutesorcomplements,butnotasageneralstatementaboutalloccupations.
Second,thereareabout12millionworkersintheoccupationsfoundintheNortheastquadrant,whichisabout10%ofoccupationsclassified(Table1).ThesearejobswhereAIandRIarebothrelevantandthuspotentiallycomplementsorsubstitutestoeachother.Theoccupationsinthequadrantaregeneralclerical,outdoorservice,andofficeapplianceworkers.
Thereareabout21millionworkersinoccupationsintheNorthwestquadrant(Table1).Thesejobsaredifficulttoautomatebuteasilyundertakeninremoteplaces.Theoccupationsareaccountancyclerks,productionrelatedclerical,agriculturalforestryandfisheryengineers,foodanddrinkcookingstaffandservingcustomers,transportationandmachineoperation,agricultureforestryandfishery,manufacturingprocess,carryingcleaningpackagingandrelated,sales,constructionandmining,familylifesupportandcareservice.
7
Table1:USoccupationsandjobs(millions)inUSgloboticsquadrants
Quadrant
Jobs
Quadrant
Jobs
Northwesttotal
20.7
Northeasttotal
11.7
Accountancyclerks
2.5
Generalclerical
1
Production-relatedclerical
0
Outdoorservice
1.4
Agriculture,forestry,andfisheryengineers
0.6
Officeapplianceoperators
4.6
Foodanddrinkcooking,staffservingcustomers
6.6
Transportandpostclerical
0.9
Transportandmachineoperation
1.7
Salesclerks
1.8
Agriculture,forestryandfishery
0.8
Managerofresidentialfacilitiesandbuildings
1.4
Manufacturingprocess
1.6
Financeandinsuranceprofessionals
0.6
Carrying,cleaning,packaging,andrelated
5.4
Sales
0.1
Constructionandmining
0.2
FamilyLifeSupportandCareService
1.1
Source:Authors’elaborationofdatafromDingel-Neiman(telework),andFrey-Osbourne(automatability).Note:Eachpointrepresentsanoccupation;x-axisshowstheautomatabilityscore(from0to1),andy-axisisteleworkableScore(0to1).
OccupationsintheSouthwestcornerarebothdifficulttoautomateanddifficulttoundertakefromaremotelocationsotheissueofsubstitutabilityandcomplementaritydoesnotreallyarise.Manyoftheseareinfactlistedashavingzeroteleworkability,sotheissueofsubstitutesversuscomplementsdoesnotarise.
Third,thereisnoclearcorrelationbetweenteleworkabilityandautomatability.Forinstance,wedonotseemostprofessionsintheNortheastandSouthwestquadrantsaswouldbethecaseifautomationandteleworkabilitywerepositivelycorrelatedacrossprofessions.Thisstressestheneedfornuancewhenthinkingabouttheimpactofdigitaltechnologyonthefutureofwork.
Fourth,thelackofaclearpositiveornegativecorrelationissuggestiveofalackofeconomy-widesubstitutabilityorcomplementarity.Ifalltheoccupationshadlinedupinapositivelyslopedline,wecouldsaythatinareduced-formsense,teleworkandautomatabilitytendedtobedonetogether.Whenyouseealotofteleworkability,youseealotofautomatability.Bycontrast,aclearnegativecorrelationwouldhavesuggestedareduced-formsubstitutability.Occupationstendedtobeeitherautomatableandnotveryteleworkable,orviceversa.
2.2JapanesequadrantcontrastwithUS
ThescoresinFigure1arebasedonananalysisofthetasksinvolvedinthevariousoccupationsanalyzedintheUS.AsimilaranalysishasbeendoneforJapan.Specifically,weusetheteleworkabilityindexofKotera(2020)basedonrecalculatingDingelNeiman’sremoteworkindexbyusingtheJapan’sO*NET.WealsousetheautomatabilityindexbyFreyandOsbourne(2015,NRIreport),recalculatedastheJapanesecase.
8
Teleworkability
22
2223
10
24
26
29
32
3529
8
0.00
0.00
23
1.00
27
8
35
28
Automatiability
1.00
US
JP
0.50
10
30
28
0.50
32
24
273737
30
26
Overall,Japaneseoccupationsarejudgedasbothlessteleworkableandlessautomatable.Onthescale
ofzerotoone,theUSaverageautomatablescoreis0.51whileitis0.32inJapan.Forteleworkability,theaveragesare0.47and0.41.
Figure2:AutomatabilityandTeleworkable,officeandwalkingserviceoccupations:USvsJapan
Teleworkability
1.00
25
25
1
19
12
19
6
2
12
11
20
20
US
JP
1
11
6
2
0.50
0.00
0.000.501.00
Automatiability
#OfficeWorkOccupations#WalkingServiceOccupations
1Administrativeandmanagerialworkers8Publichealthnurses,midwives,andnurses
2Researchers10Professionalsocialwelfareworkers
6Dataprocessingandcommunicationengineers22Salesclerks
12Financeandinsuranceprofessionals23Outdoorserviceworkers
19Generalclericalworkers24Transportandpostclericalworkers
20Accountancyclerks26Salesworkers
25Officeapplianceoperators27WorkersinFamilyLifeSupportandCareService
28Occupationalhealthandhygieneserviceworkers
29Foodanddrinkcooking,staffservingcustomers
30Managerofresidentialfacilitiesandbuildings
32Securityworkers
35Transportandmachineoperationworkers
37Carrying,cleaning,packaging,andrelatedworkers
Source:Authors’elaborationofdatafromDingel-Neiman(telework),andFrey-Osbourne(automatability).Note:Eachpointrepresentsanoccupation;x-axisshowstheautomatabilityscore(from0to1),andy-axisisteleworkableScore(0to1).
Figures2and3compareUSandJapaneseteleworkabilityandautomatabilityscoresbydistinguishingoccupationsbythreebroadcategoriesofserviceoccupations:officeworkers,professionalserviceworkers,andwalkingserviceworkers(seelistunderthefigures).
Figure2(leftpanel),showsthecomparisonforofficeworkers,itindicatesthattheresultsfortheUSandJapanarenotverydifferentwhenitcomestooffice-basedoccupations.AllbuttwooftheoccupationsareinthesamequadrantforboththeUSandJapanesecase.Moreover,thereisnotapervasivedifferenceineitherdimension.Forexample,threeoftheeightoccupationsarereportedasmoreteleworkableinJapan,andfouraremoreautomatable,buttwoarebothmoreautomatableandteleworkable,andthreehavelowerscoresinJapanonbothdimensions.Bycontra
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