Investigation of the supply chain impacts and opportunities for the UK of Brexit VasileiosKotiosandProfessorAlanBraithwaite CranfieldUniversityandLCPConsultingLtd. E-mail:[email protected] Keywords:Globalsupplychains,Internationalsourcing.Tariffsandtrade,Brexit Abstract: Thesupplychain,tradeandeconomicimpactsofBrexitarethesubjectofwidespreadpublicandpolitical debate.Ananalysisoftheacademicliteratureprovidesconflictingtheoriesandpointsofviewonthelikely effects;itisacomplexsystemwithmultipledecisionpathways.Theresultofatradeshockontariffandnon- tariffcostswilllikelyinducechangeswithahysteresiseffect,thefinalnewstatebeingquitedifferentfromthe old.Possiblesupplychainre-organisationsarisingfromchangesinUKtradearisingfromtheso-called ‘Rotterdameffect’mayalsohaveaneconomicimpactwhichwillvarybyindustrialsegment.Thereisno definitivepublisheddataonthespecificindustryimpacts.Thispaperreportsonanattempttocorrectthatby creatingagenericanalyticoftradeflowsandWTOtariffstructuresappliedtothefoodandautomotive sectors.Themodellingofthetradedynamicsisbasedonrelativetariffandnon-tariffcharges.Thefindingsand limitationsaredevelopedintoaproposedmethodbywhichcompaniescanunderstandtheimpactsontheir specificsupplychains. Introduction ThewithdrawalofUnitedKingdomfromEuropeanUnionisexpectedtobeamajorpolitico-economicevent withanuncertainoutcome.FormerPrimeMinister,DavidCameronwarnedthatBrexitwouldbe“aleapinthe dark”(Cameron,David,OralStatementtoParliament,22ndFebruary2016)whereasprominentUK businessmenarguedthatoutsideEU,businesses“willbefreetogrowfasterandexpandintonewmarkets”.( http://www.telegraph.co.uk/news/2016/05/15/eu-referendum-more-than-300-business-leaders-back-a- brexit/accessed20/05).OpinionsaresplitonwhetherBrexitisgoingtorevitaliseoradverselyaffectthe Britisheconomyinthelongtermbut,inviewofsuchadisruptiveevent,UKbusinessesshouldhedgeagainst potentialrisksduringandshortlyafterthewithdrawalprocesstoensuretheirprosperity. Internationaltradehasbeenconnectedwiththenation’seconomicwelfare(Smith,1776)andtheUK, historicallybeingatradingnation,owesitseconomicsuccesstoit.Currentlytrade,accountsforthelargest partoftheBritisheconomyat60%ofGDP.EU-UKtransactionsarealmosthalfoftotaltradewiththevalueof importsmeasuringapproximatelyGBP291billionandGBP222billionworthofexports.Although,researchers reportthatUK’stradevolumewithEUincreased172%afterthecreationoftheEuropeanSingleMarket,the currenttradedeficitsupportstheargumentthatdevelopedEUcountriesarelikelytobematureeconomiesfor theUKwithlittlegrowthpotential(Burrage,2014).Thereisapointofviewthattheapparentdeficitis magnifiedbythedesignoflargecorporations’EUsupplychainsinwhatiscalledthe‘Rotterdameffect’.Thisis whengoodsofnon-EUoriginentertheEUviatheNetherlandsatRotterdam(orBelgiumviaAntwerp)andare thenmovedtotheUKasgoodsinintraEU‘freecirculation’.(HouseofLords,2016) Uponleaving,theUKtradewillcomeunderWTOrulesasdefinedinprinciplebytwomultilateralagreements, theGeneralAgreementonTariffsandTrade(GATT)andtheGeneralAgreementonTradeinServices(GATS). ThecurrentEUtariffschedulewillbesupersededbytheindividualschedulewhichtheUKwillbefreeto negotiatewithWTO.GATTisacomprehensiveframeworkconcerningthetradeofgoodsandincludesdetailed tariffschedulesthattheWTOmemberswillimposeoneachspecificcategoryofproductwhenimportedfrom foreigncounties.Non-tariffbarriersarealsoincludedandcoverawidearrayofelements,fromtechnical specificationsandcertificationstosanitaryandtrade-relatedmeasures.AprominentexampleistheRulesof OriginAgreementwhichbasicallypreventsimportsfromthirdcountrieswithalowerexternaltariffenteringa partnercountrywithhighertariffschedule.RoOviewaproductasasetofcomponentswhichmaybe importedfromandprocessedindifferentcountries,thussettingthetariffofimportedgoodsbymixofimpact thateachcountryhadonthefinalproduct(WTO,https://www.wto.org/english/tratop_e/roi_e/roi_e.htm). TradeinservicesarecoveredthroughGATSwhichdoesnotincludeanyspecifictariffsbutsetsoutgeneral obligationsthateachmemberhastofollowwhentreatingforeignservicessuppliersandmarketaccess limitationsunlessabilateralagreementhastakenplace.Bothagreementareconstructedontheprincipleof KotiosandBraithwaite 1 “theMostFavouredNation”(MFN),apracticemeaningthataWTOmembermusttreatallothermembers equallyandrestrictstheabilitytoapplydifferenttradebarriersoneachoccasion.Therefore,ifacountry decidestoliftcertainlimitationsposedbystandardWTOrulesaspartofabilateralagreementbetween nations,it’scompulsorytoapplythischangetoeveryothermember. Theimpactoftariffandnon-tariffbarriersonthesupplychainsofspecificbusinesssectorsisnotyetclearand iscomplextopredict.Outcomeswillbestronglyconnectedwiththesetofnewpoliciescoveringalonglistof elementsthatforgedtheBrexitdebate,suchastrade&manufacturing,immigration,financialservices,foreign investmentandtheinternalUKmarket.(Woodford,2016) Thispaperreportsonaresearchprojecttoclosethatgapinunderstandingoftheimpactsandtotestthe potentialtousetradeandtariffdatatoprovideguidanceonhowsupplychainswillneedtorealign.Itisan attempttoprovidethespecificinsightsthathavebeenmostlymissingfrompublishedreportsaswellasa methodforthefuture.Theinvestigationhasbeenfocusedintotheeffectonthefoodandautomotivesectors ofnewlyimposedregulationsandtariffsaccordingtoWTOrules. Theliteratureontheeconomictheoryandimpactassessments Theeconomicliteratureisremarkablyrich,advancingmanytheoriesandevidenceontradeandeconomic development.AfullreviewisavailablefromKotios(Kotios,2017)andthissummaryhighlightssomeofthekey thinkingfrombotheconomictheoryandrecentBrexitrelatedpublications.Paperslookatbothmacroand microeconomicfactorsandcovertariffs,exchangeratesandstructures. Traditionaltheoryviewsinternationaltradeasameretransactionofgoods,servicesandcapitalacross borders.However,astheworldhasbecomeincreasinglyconnected,amorecomprehensivedefinitionis neededtocoverthearisingsynergies.Caschilliet.al.(2015)presentaframeworkofinterdependenteconomic networksthatcharacterisetradeflows,suchasglobalsupplychains,internationaltradeagreements,trans- nationalcreditandforeigndirectinvestmentsincludingfactorsthatfacilitatetrade(e.g.infrastructure)and varioustradebarriers. ThefamousHeckshe-Ohlinmodelappliestheclassicaltheoryofcomparativeadvantage(Ricardo,1817)to internationaltradingpatterns,statingthatacountrytendstoexporttheirabundantandcheapfactorsand importproductsthatrequirefactorsthataredomesticallyscarce.Thederivingtheoremessentiallyconcludes thatexportsfromcapital-abundantcountriesarebasedoncapital-intensiveindustrieswhichpoorercountries cannotsustainandthusledthemtoimportsuchgoods.Inreturn,thesecountriesexportlabour-intensive goodsthatmatureeconomiesconsiderprofligatetoproducelocally. AmoremodernapproachfromKrugman(1996c)considers“trademightreflectanoverlayofincreasing- returnsspecialisationoncomparativeadvantage”whichcandevelopirrespectiveoffactorendowments.This novelideasetthebasisoftheNewTradeTheory(NTT)anddevelopedfurthertofactoringnetwork-wide effectsarisingfromcomplexityandsectoralinterdependencies(Economides,1989).Themostrecentstudies shifttheirfocusfromsectorstofirm-leveltoaccommodatethestructuralchangesthatglobalisationbrought upontradepatternslikethegrowingtrendofintermediategoods,oftenreferredas“New”NTT(Melitz,2000, 2003;Antras,2003). Themajorityofempiricalresearchaddressestheprofoundtradeliberalisationthatoccurredduringthelast decades,observingtheimplicationsofthismovementusingeconometricmodelsandqualitativeanalysis. Tradeislinkedtoeconomicgrowthwithearlierstudies(Rivera-BatizandRomer,1991a;Grossmanand Helpman,1991;Segerstrometal.,1990;Krugman,1988)providingcontradictoryviewsonitsrelationshipwith tradeliberalisation.However,thesestudieselaborateonextremepolicyreformsassuminganoutrightshift fromautarkytofree-trade,achangewhichisnotfeasibleinrealworldtermssinceliberalisationsare performedinincrementalsteps.HelpmanandKrugman(1989)supporttheviewthattheeffectofincremental changesiscasespecificandcanbeprooranti-growth.Inparticulartheoutcomereliesonthetypeofbarrier, thekindofliberalisation,countriesinvolvedandthemarketcompetitionoftheindustryinquestion.Thus, tradepolicychangesareneitheruniversallynegativenorpositivesincetheimpactoneachbusinesssectorcan beentirelydifferent. Disentanglingthenetworkeffectsoftradeandeconomicgrowth,thereisevidencethattheleveloftrade opennessandpoliciespromotingfinancialandpoliticalcohesionmayhaveanindirecteffectonincoming capitalflowslikeFDIs(deMello,1999;Alfaroet.al.,2010).StudieslikeBalasubramanyametal.,(1996) KotiosandBraithwaite 2 demonstratethatanFDIcanpositivelyaffecteconomicgrowthonlyunderliberalisedtradingenvironments thatareabletofacilitatespillovereffects(deMello,1997). Therelationshipofinternationaltradeoutcomeswithexchangeratevolatilityhasbeenaprominentsubjectin theliterature.Leadingeconomictheoristsoftenuserealexchangeratesandnationalincometomodeltrade flows(Baldwin&Lyons,1991).Suchstudiesdefineratesasthevalueofonecurrencyrelativetotheother. Arize,OsangandSlottje(2000)provedacausalrelationshipbetweenvolatilityandchangesinoutcome, suggestingthatexchangeratevolatilityhasashort-termnegativeeffectonexportsduetorisk-aversionwith furtherempiricalstudieslikethoseofChowdhury(1993)andArize(1995)supportingthisargument.Onthe otherhand,Asseery&Peel(1991),Holly(1995)andBredinet.al.(2003)reportapositiverelationshipclaiming thatfirmsmaytrytoreaptheopportunityvaluearisingfromvolatilityattimesandthustheexportstendto increase.AcontradictoryviewisprovidedbyBaccheta&Wincoop(2000),whoarguethatthereisno relationshipbetweenthetwo(Baccheta&Wincoop,2000)andthatexchangeratevolatilityishasno statisticallysignificanteffectonthevolumeoftrade(Secru&Uppal,2000).Theybothconcludethatmonetary policiesonfixedexchangeratescannotimprovethetradeoutcome.Theseambiguousresultsleadtothe conclusionthattherelationshipisnotstraightforwardandsubjecttodifferentdatasets,namelytimeperiod, countriesandthecurrencycharacteristics. Relatingtotheresearchquestion,smallscaleexchangeratevariationsinthesemodelscannotsufficiently factorthemagnitudeoftherecentGBPdepreciationaftertheBrexitvoteandarehencenotparticularly useful.Lookingatlargescaleexchangerateshocks, Baldwin&Krugman(1989)pointedoutthatlargescale shockscanhavepersistenteffectsthatpossiblychangethemarketstructureitselfandasaresultalterthe parametersofestimatedtradeequationsofthesemodels,violatingtheirmainassumptions. Hysteresisisasituation“whereone-timedisturbancespermanentlyalterthepathoftheeconomy”(Romer, 2001,pp.471)andreferstotheremnantmemoryofthedisturbanceintheeconomy,aftertheshockhas passed.Baldwin(1990)studiedlargescaleexchangerateshocksasthe1980sdollarcyclewasunfoldingand wasthefirsttointroducetheideaofhysteresisintrade.Theargumentwasbuiltontheconceptthataforeign firmincurssunkentrancecoststoestablishitspresenceinadomesticmarketandperiodicalmaintenance costsinordertosustainit.Asubstantialtemporaryriseintheexchangeratewillfavourtheentranceofforeign firmsbecauseoftheaggregatedvalueforitsofferingsintheforeigncurrency.Thesenewentrantswillnot unilaterallyabandonthismarket,eveniftheexchangeratereturnstopreviouslevelsbecausetheentrycosts aresunk.Asaresult,itissuggestedthattherelationshipbetweenexchangeratesandimportsisreversed underthenewmarketstructurewhichremainspersistentafterthechangeandthereforethepreviously estimatedequationnolongerapplies.ThederivingBeachheadModel(Baldwin,1988)isbasedonthe assertionthatrealexchangerateshockscanchangethedomesticmarketstructureandthisstructureaffects importpricesandvolumes. Insummarythereistheoreticalambiguityregardingpolicychangeandtheoveralleffectontrade.The outcomecannotbedirectlyinferredbasedonconventionalnotionsthatconsiderashiftaseitherbadorgood. Theliteratureimpliesatrendthatthestudyapproachesshiftedfromasolemacroeconomicpointofview, aligningwiththeNewKeynesianschoolofthought,tryingtofindmicro-economicfoundationstoexplaintrade dynamics.Hence,anin-depthsystematicanalysisoneachsectorandthesector-specificdeterminantsismore likelytoidentifytherealimpactinviewofawiderenvironmentchange.Theresultscouldpossiblyprovidea potentialoveralloutcome,althoughisimportanttoillustratethattotallyaccurateresultswouldstillbedifficult toachieve,becauseofthecomplexityandtheinterdependencieswithothermacro-economicfactors. Tariffsareaninstrumentoffiscalpolicyintheformoftaxationonimportsandexportsofproductsandis tracedbacktotheBronzeAge,closelyfollowingthetransitionfromlocaltointra-regionalexchangeof commodities.AncientGreekswerelevyingdutiesforgoodsenteringandexitingAthensto“maximisethe benefitsofsociallifeforitscitizens”.TheactualwordhasArabicoriginsandtranslatesas“notification”and derivesfromaSpanishcoastaltown,Tarifa,whichwasthefirstportinhistorythatchargedtradersforthe usageofdocks.(http://self.gutenberg.org/articles/eng/Tarifa). Historicallyassociatedwithprotectionism,thesedutieswereimposedtosecurethelocalproductionindustry againstforeigncompetitionbymakingthetransactionmoreexpensivewhilealsointroducinganewsourceof fundingforpublicpolicy(CatoInstitute,1998). TheGreatDepressionhadalastingeffectinchangingthe approachofnationsregardingglobaltrade.TheU.S.tookaleadingroleintheliberalisationoftrade,pushing foramultilateralagreementbetweenitstradingpartnersandshortlyafterWorldWarII,theGeneral KotiosandBraithwaite 3 AgreementonTariffsandTrade(1947)wassignedby23counties.GATTwasdraftedtoreducetariffsand othertradebarrierssubstantiallyaswellaseliminatepreferencesonareciprocalandmutuallyadvantageous basis,introducing45000tariffconcessionsofanapproximatevalueofUSD10billionwhenbroughtintoeffect. Nowadays,internationaltradeisgovernedbytheWTOframeworkandtariffschedulesareregulatedbyGATT. Thegrowingtrendofglobalisation“redefinedtherelationbetweenproductionandterritoriality,nation-states, economicinstitutionsandsocialstructures”(Robinson&Harris,2000)andthuschangedthedirectionof capitalismfromanation-statephasetoglobalaccumulationofcapital.Concurrently,GATTwentthrough8 revisionstoadaptinthenewenvironmentwiththemostcurrentratifiedby123countriesin1986.Nowadays, internationaltradeisregulatedbytheWorldTradeOrganisation,establishedin1995asasuccessorofGATT andtariffschedulesarestillderivedincompliancewiththesamerules.Underthisframework,therearethree typesoftariffs: MostFavouredNationTariffs:Thehighestleveloftarifflevelcurrentlyineffectthatacountrycan imposetootherWTOmembersunlessthetradingpartiesenterintopreferentialtradeagreementto reducethereciprocaltariffimpositionorabolishitcompletely.Thisagreementmayconcerna customsunionorafreetradeareaandmustcoverasubstantialpartofthetotaltrade. BoundTariffs:ThetariffscheduleforeachcommoditylinethatacountrysubmitswhenitjoinsWTO. ThisistheabsolutemaximumMFNtarifflevelthatacountrycanimpose,rarelyappliedinpractice sincenegotiationsbetweenWTOpartnersleadtoreductionsthathavetobeappliedunilaterally undertheMFNrule.However,alargedifferencebetweentheBoundandMFNtariffmakesacountry unpredictablefordisruptivechangesintradepolicy. EffectivelyAppliedTariffs:AconceptthatisdirectlylinkedtoWTORulesofOriginandthemixof impactthateachtradinghasonthefinalproduct.Ifthemajorityofimpactoriginatesfromacountry engagedinafreetradeagreementwiththeimportingnation,thenapreferentialtariffapplies,while anMFNtariffisimposedinanyothercase. Regardlessoftype,atariffismostcommonlycalculatedasapercentageoftheimportedproductvalue(ad valorem)butatariffschedulemayalsousedifferentfactorstodeterminethecustomduty.Thesetariffsare callednonadvaloremandareconsideredtobelesstransparentwithhigherdistortingeffects. Neoclassicaleconomictheoriesviewtariffsasaharmfulinterferencetothefreemarketwhichdistortsthe economicequilibrium.Thereisaconstanteffortforreductionsandadmittedlyratesaremuchlowerthanat thebeginningofthe20thcentury.However,thepracticeoftariffimpositionstillremainspersistentfor politicaleconomyreasons(Baldwin,1985)andtheirimpactcannotbedisregardedsincetheystillbeara substantialcost.Literatureprovidesanabundanceofexamplesforspecificproductcategoriessubjectedto highratesandidentifiesindustrialsectorsthatarestillexperiencingintensedistortiveeffects.Theeffectscan varyfromcompressedmargins,toreducedtradevolumesanddiversioneffectsinexportpatterns(Haveman& Thursby,2000). Tariffbarriers’effectonthefoodandconfectionaryindustrytradevolumehasbeenstudiedextensivelywith theliteraturecitingthesectorasparticularlyvulnerable.Animmediatelyapparentchallengeisthatcontraryto otherindustrialmanufacturedgoods,foodsproductsaredifficulttocategorizeandfindappropriatelyeven matchesinordertomakedirectcomparisonsbetweencountries.Researchershavetorelyontheexact productdescription,oftencompelledtotraveltodifferentcountriestofindappropriatematchesoreven forcedtomakeassumptionson“equivalentinuse”basis(Bradford,2001). Haveman&Thursby(2000)usedU.S.tradedatatodeveloparegressionmodelthatestimatestheelasticityof demandandtariffrateforagriculturalcommoditiesinanaggregationlevelof3-digitSITcodes.Intheirstudy, wefindthata1%tariffincrementinFruitandnutscategory(SITC017)isabletodecreasethetradevolume between4.6%and12.84%inadditiontoanycompressingordivertingeffects.Dairyproducts(SITC202)trade patterncanbedivertedtodifferentexporters,anywherefrom0.39%to25.11%ofthetotalvolume.On average,apercentagechangeintariffrate,incursa14.6%negativedistortionofdemandover72agricultural productcategories. Internationaltradetransactionsaresubjecttoadditionalformsofcontrollingmeasuresbeyondcustomduties, knownasNon-TariffMeasures(NTMs).NTMsarecomprisedofmultilateralagreements,suchastheTechnical BarrierstoTrade(TBT),SanitaryandPhytosanitaryMeasures(SPS),ImportLicensingProcedures,Customs ValuationandRulesofOrigin(Gurler,2002).TBTisaimingtosecurethecompliancefortechnicalregulations, internationalstandardsandensurethattheconformityassessmentproceduresareperformedwithminimum impacttotradeandonanon-discriminatorybasis.TheSPSmeasuresweintroducedtoprotecthumans, KotiosandBraithwaite 4 animalsandplantsfromdiseases,pestsandcontaminants.TheRulesofOrigin,isessentiallyaNTM,even thoughtheirimpactoffinaltariffdeterminationisdirect.Thederivingbarrierscantakevariousformslike quotas,anti-dumpingduties,subsides,technical/safetyregulationsand,unliketariffs,theycanvaryacross countriesandsectors(WTO,2012). WTOreportsthatthecontributionofNTMstooveralltraderestrictivenessissignificantandinsomecasesfar moreintensivethanactualtariffs.Morespecifically,theirrelativecontributiontotheoveralllevelofdomestic protectionhasapositivecorrelationwithlevelofGDPpercapita.Fordirectcomparison,theimpactofNTMsis depictedasan“advaloremtariffequilavent”(AVE),specificallythelevelofadvaloremtariffthatwouldhave thesamerestrictingeffects.Keeet.al(2009)estimatedthatNTMshavea12%AVEonaverageusingasample of91countries. AcademiapresentsTBTasthemostimportanttradebarrier(Baldwin,2000;Chen&Novy,2009)alongwith transportationcosts.Afindingthatisexpectedsincecomplianceandcertificationisexpensiveandonlythe mostproductivefirmscanwithstandthesehighfixedcoststosustaintheirexportingactivities,afactthatis supportedbyrecenttradeliteratureonheterogeneousfirms(Melitz,2003;Melitz&Ottaviano,2008). Arguably,suchstudiespresentonlyoneaspectofNTMseffects.Inrealitythesemeasureshavebothnegative andpositiveimpactsontheeconomy.Insomecases,thesemeasuresmayalsohaveapositiveeffectonthe tradedvolumeandtheconsumers.Standardsandtechnicalregulationsmayraiseproducercostsbutcan reducecustomercostsbecauseproductqualityinformationismorereadilyavailable.Tradeincreasesifthe positiveeffectondemandisgreaterthanthenegativeeffectonsupply(WTO,2012).Anargumentwhichisnot touchedintheidentifiedtradeliteratureisthewidelyrecognisedfactthatstandardisationdecreasesthe overallproductionandsupplychaincosts. Overall,WTOfindsthatTBT/SPSmeasureshavepositiveeffectsontechnologicallyadvancedsectorslike manufacturing,wherecustomerinformationcostsaremoreimportantthantheregulatoryadaptioncosts.On theothersideTBT/SPSimpactthetradeoffood&agriculturalsectornegatively,especiallyindeveloping countryexports.Finally,itisapparentthattheexportmarketdiversificationisreducedbecausesmallerfirms cannotwithstandthemarketentrycostsassociatedwiththesemeasures.Greatertradeintegrationand mutualrecognitionofstandardsisviewedasawaytomitigatethenegativeeffectsofNTMs. TheeffectsofBrexitarethereforenotpredictablebasedoneconomictheory,butitappearstheywillbesector andcontextspecificandmaybequitedramaticintheirimpactwhenthecombinationofexchangerates,tariffs andnon-tariffbarriersarefactoredinforaspecificfirm.Astudyin2011basedonhighlevelsectoralanalysis suggestedimpactswouldbeintherangefrom0%tojustshortof10%basedonMostFavouredNationtariffs. (Ottavianoetal,2011).Howeverthestudiescitedabovesuggestsomesegmentswillexperienceagreater impact. Thecomplexnatureofinternationalsupplychainsisrecognisedinofficialdocumentsthroughtherepeated mentionofthe‘RotterdamEffect’.Becauseofsupplychainstructuresthatmovegoodsthroughsingle Europeanportsandre-exporttotheUK,itisclearthattheUKtradewiththeEUisoverstatedintermsof ultimateorigin.(HouseofCommons,2016).Specifically,thereportsays TheEU,takenasawhole,istheUK’smajortradingpartner,accountingfor44%ofexportsand53%of importsofgoodsandservicesin2015.….SomearguethattheshareofUKtradeaccountedforbythe EUisexaggeratedbythe“Rotterdameffect”wherebytraderecordedasbeingwiththeNetherlandsis actuallywithnon-EUcountries.Whilethiseffectcannotbequantified,itdoesnotalterthefactthat theEUistheUK’smaintradingpartner. TheCBIreportonTheFutureofTradeoftheUKpreparedbyCliffordChanceandpublishedinFebruary2017 notedoftheRotterdamEffect,asafootnote,thatanONSarticleestimatedthat50%ofallgoodsexports (valueforimportsnotavailable)totheNetherlandswasre-exportedtononEUCountries.(CBI,2017)Italso estimatedthattheRotterdamEffectwouldaccountfor4%oftheUK’sexportsofgoods.(ONS,UKPerspective, TradewiththeEUandBeyond). TheHouseofLordsEuropeanUnionCommitteepublishedareportinMarch 2017underthetitle‘Brexit–TradeinGoods’.ThisanalysisalsopointstotheRotterdamEffect.BoththeCBI andtheHouseofLordsreportsidentifythefoodandautomotivesectorsasbeingvulnerabletoWTOtariffs butoffernodefinitiveguidanceonthescaleoftheissue. Itisthatgapthatthisworkhastriedtofill. KotiosandBraithwaite 5 StudyMethodology Thestudy’sanalyticalmethodologywasdesignedtoquantifythespecificsoftheimpactofbothadvalorum andnon-advalorumtariffsonthetwosectorsthatwereidentifiedasbeingatrisk:foodandbeverageand automotive.Theanalysiswasbasedonsecuringacomprehensivedatabaseoftradestatisticscompiledby MDSTransmodalinitsBoxTradeIntelligencebusiness.MDSThasbeencompilingtrendsinglobaltradein supportofitsworkformorethan20yearsanditsdatabaseisuniqueinthecompletenessofitsscopeand trendcapability. ThedatasetthatwasmadeavailablecoveredeveryincomingandoutgoingflowbetweentheUKanditsglobal partnersfor2015and2016,groupingthedataontoitscorrespondingStandardIndustrialTradeClassification (SITC)withtheaccompanyingmass(intonnes)andvalue(inUSD)workingatthecompletelevelofdetail. TheStandardIndustrialTradeClassificationtracesitsoriginstoareport,“MinimumListofCommoditiesfor InternationalTradeStatistics”publishedbytheLeagueofNationsin1938astheresultofagreaterneedfor comparabilityofinternationaltrademerchandisestatistics(UN,2016).TheSITCwasformallyestablishedin 1950bytheUnitedNationsasastatisticalclassificationenteringinternationaltrade,intendedtofacilitate comparabilityandprovidecommodityaggregatesappropriateforthepurposesofeconomicanalysis(OECD, 2001).TheSITCnomenclatureismadeupof9Sections(0-8)correspondingtothefirstdigitofeachcode,with eachSectionbreakingdowntoatotalof89Divisions(2-digitcode).Onwards,theDivisionsarebrokendown todifferentlevelofaggregationwith3-digitGroupsand4-digitSubgroups,culminatinginItemsofeach Subgroup(5-digit).AlthoughthesystemcontinuestobemaintainedbytheUN,currentlyon4thRevision (2006),itsprimaryusageislimitedtoanalyticalpurposesbecausetheadoptedstandardfortradestatistics internationallyshiftedtotheHarmonizedCommodityDescriptionandCodingSystem(HS).Thecommodity descriptionsofSITCRev.4correspondsdirectlytothoseoftheHS(HMRS,2016),providingcompatibility. TheHSwasdevelopedbytheWorldCustomsOrganization(WCO)in1988toencompasssimilarpurposesand isratifiedbymorethan200countries,correspondingtothe98%ofallmerchandisegoodstraded internationally.Beyondtradestatistics,theHSservesasthebasisonwhichcustomtariffsaredeterminedas wellasinternaltaxes,rulesoforigin,tradepolicies,freighttariffs,transportstatisticsetc.Thesystemismuch moredetailedandcomplexcomparedtoSITC,with5000commoditygroupsonadisaggregationlevelof6 digits,arrangedinalegalandlogicalstructuretoachieveuniformclassification(WCO,2017). SITCtradedataarepublishedwhereassimilarHSstatisticsappeartobelesseasytocompileandwerenot availabletothisresearch.Itshouldbenotedthatthereisanindustrythatsupportstradeclassificationonthe HSsystemandtheprocessoftariffmanagementwiththeaimofoptimisingtariffsforgoodsownersand shippers. Theanalyticalworkorganisedtheverylargedataset,profiledtherelevanttradesectorsforbothimportand exportflowsandthenmergedtheSITCdatawiththeWTOtariffs(advalorumandnon-advalorum)basedon theHStarifftables.Thisdatawastheninspectedtopinpointthetariffeffectsandtheresultsoftheanalysis discussedfortheirimplicationsbasedontheinsightsfromtheliterature. AnalysisResults ThedataforSITCheadlinecodes0and1havebeenusedheretoillustratetheanalysisapproach.Table1 showstheSITCcodebreakdownforthesecategories. TheproductSITCdivisionsinquestionarepresented withtheircomparableHSequivalenceinTable2.Duringtheresearch,itwasrecognisedthatevenwiththe highestlevelofSITCdisaggregation(5-digit),onecodeusuallycorrespondedtomultipleHStarifflines.Also, theEUisheavilyprotectingitsfood&beveragessector,imposingamixtureofAdValorem(AV)andNon-Ad Valorem(NAV)tariffs.ThisisillustratedinTable3;notethattheimpositionofNon-AdValorumtariffswas absentfromtheworkofOttavianoetal.(2011).Thisimpliesthatthisresearchwillhaveunder-estimatedthe impactofWTOtradingconditions. KotiosandBraithwaite 6 SITCSection0–Foodandliveanimals SITC HSequivalent Description Division (2-digit) 00 SectionI–01 Liveanimalsotherthananimalsofdivision03 01 SectionI–02 Meatandmeatpreparations SectionIV–16 02 SectionI–04 Dairyproductsandbirds'eggs 03 SectionI–03 Fish(notmarinemammals),crustaceans,molluscsand SectionIV–16 aquaticinvertebrates,andpreparationsthereof 04 SectionII–10,11 Cerealsandcerealpreparations SectionIV–19 05 SectionII–07,08,11,12 Vegetablesandfruit SectionIV–19,20 06 SectionI–04 Sugars,sugarpreparationsandhoney SectionIV–17 07 SectionII–09 Coffee,tea,cocoa,spices,andmanufacturesthereof SectionIV–18,21 08 SectionII–12 Feedingstuffforanimals(notincludingunmilledcereals) SectionIV–18,23 09 SectionI–04 Miscellaneousedibleproductsandpreparations SectionII–07 SectionIII–15 SectionIV–19,20,21 SITCSection1-Beveragesandtobacco 11 SectionIV–22 Beverages 12 SectionIV–24 Tobaccoandtobaccomanufactures Table1–theSITCbreakdownforFoodandDrink TariffsMeasure HSTariffLines(%) SITCsubheadingcoverage SITCSection0–Foodandliveanimals AdValorem 1379(56.6%) 43% Non-AdValorem 929(38.2%) 44.8% DutyFree100% 127(5.2%) 12.2% SITCSection1-Beveragesandtobacco AdValorem 101(37.3%) 27.6% Non-AdValorem 131(48.3%) 44.8% DutyFree100% 39(14.4%) 27.6% Table2–thecoverageofHStoSITCshowingmoreHSthanSITC NAVMeasure Description EUR/kg Fixedpricechargeper100kgor1000kg EUR/kgneteda Fixedpricechargeperkgofdrainednetweight EUR/kgnetsacchar. Fixedpricechargeperkgofsaccharoidsnetweightcontent EUR/kglacticmatter Fixedpricechargeperkgoflacticmattercontent EUR/kgtotalc Fixedpricechargeperkgoftotalalcoholcontent EUR/pst Fixedpricechargeper100or1000items EUR/hl Fixedpricechargeperhectolitre EUR/%volhl Fixedpricechargeperalcoholpercentagevolume MIN Minimumapplicabletariffas%ofvalueorEUR/kgiftheprimary chargingmethodcalculatesaloweramount MAX Thresholdtariffas%ofvalueor/andEUR/kgiftheprimarycharging methodcalculatesahigheramount EA Agriculturalcomponent–Additionaltaxthatestimatesthecontentof certainagriculturalgoodspresentintheproductusingMilkfat,Milk proteins,Glucose/StarchandSucrose/Invertsugarasindicatorsand chargestheircorrespondentNAV EP Entryprice-Tariffiscalculatedusingthevalueoftheproductand increasesastheimportpricedrops ADSZ Additionaldutyonsugarcontent ADFM Additionaldutyonflourcontent Table3–theavailableNon-AdValorumTariffs KotiosandBraithwaite 7 Thetradedatabasewasusedtointerrogatethetradeflowsfortheselectedcategoriesoffood,beverageand automotivesubsections. Thescaleofthisdatamakesitdifficulttomanageandpresentthesalientfeatures forillustration.AnalysiswascompletedforbothtonnesandvalueonbothaglobalbasisandwiththeEU27. Figure1showsthetradepicturebothinandoutoftheUKbyvalueinEurosforthecodeunderinspection.The redlineisinboundtradetotheUKanditisimmediatelyobviousthattheUKmaintainsadeficitinallbutoil andfish. Figure1–TradestatisticsbySITC–UK<>EU27(33:petroleumproductsandexcludedfromthecommentary) Themainassumptionisthatapost-BrexitUKwouldhavetosubmitaWTOtariffschedulesimilartothatofthe EUinordertoavoidappealsandlengthynegotiationswithallWTOmemberstates.Basedontheliterature, themostlikelyscenarioisthattheUKwouldsupport“atrisk”industriesbydifferentpolicymeansduringany restructuringphaseanduntilFTAswithmajortradingpartnershavebeensetup.OnlythenwouldtheUK wouldhavetheabilityandthenegotiatingpowertoenterintotimeconsumingnegotiationswiththeWTO. It isthereforeonthebasisofWTOMFNratesthattheimpactofbothAdValorumandNon-AdValorumtariffs havebeenmodelledtoestablishthelikelyeffects. ThesummaryofthiscalculationisprovidedinTable4.It showstheaggregatedaverageAVpercentagesandNAV figuresoftheapplicableHStarifflinesatthetwodigitlevel, basedoncalculationsforeach5-digitSITC. Petroleum(SITC33)hasalowesttariffof1.3%with Electricalmachinery&parts(SITC77)followingwith2%. Roadvehicles(SITC78)face9.1%induties,confirmingthe consensusintheliteraturethatcartariffswouldrange around10%.However,thisfigureshouldberegardedasan estimateduetoouraggregatedtradeflows. ThemajorityoftheFood,Beverage&Tobaccosectorwould besubjecttomuchgreatertariffsreachingupto50.8%for Diaryproducts&birdseggs(SITC02),followedbySugars etc(SITC06)at42.3%andMeatproducts(SITC01)witha 41.4%addedcommission.Somesub-segmentswithinthese twodigitcodeswillincuryethigherrates. Table4–themodelledoutputofpostBrexittariffs. Liveanimals(SITC00)andBeverages(SITC11)wouldfacethelowestcostsinthesectorwith3.2%and4% respectively.BeveragescouldbeanareaofinterestfortheUKwhichrunsonasurplusgloballybutwitha deficitfromtheEUside.Withthislowertariff,UKbeverageindustrycouldhavepotentialgainsifitcould reversethecurrentbalance. ThereasonwhytheFood,Beverage&TobaccosectorendsupwithsuchhighdutiesisduetotheNAVtariff measuresoftheEUwhichchargebysomeformofquantityregardlessofactualvalue.ThevarietyofNAV typesencounteredwerepresentedinTable3,buttheprevailingmeasureintermsoffrequencywasEUR/kg (NAVKG).Table4showstheimpactofNAVtariffsexpressedagainstthevalueofthetradeanditisclearthat KotiosandBraithwaite 8 manytradingcategoriescouldexperienceoveralltariffsofmorethan100%. Indeed,NAVperKGaloneis responsibleformorethan80%ofthecost,stretchingupto96%forAnimalfood(SITC08).Itisclearthatthe EUisseverelyguardingthewholesector,effectivelyrestrictingforeigninputsoflowervalueinorderto protectinternalproduction.Interestingly,Fish(SITC03)whichwasshowntobeanettradecontributorforthe UK,isnotprotectedbyrestrictiveNAVs,justsomerelativelyhighAVduties.BeyondtheNAVperKGmeasures, allothermeasuresarelessfrequentandappliedcasebycase;however,theycouldbeseverewhenapplied. ThetradestatisticsbyEUcountryhavebeenanalysedtoascertaintheprofilebySITCandcountryaswellasin aggregate.TheimportanceoftheNetherlandsasatradingpartnerexceedsitsabilitytoeitherconsumeor manufactureandthisconfirmstheRotterdameffect.Whatisnotclearistheextenttowhichthegoods recordedoriginateoraredestinedforoutsidetheEUasopposedtothebillingandhandlingarrangementsfor theEUhavingbeencentralisedintheNetherlands. Therelativevalue:volumerelationshipsofaggregatetradebycountryshowsconclusivelythateacheconomy hasspecialisedbasedonitsfactorsinanEUwheregoodsareinfreecirculation. ThedetailofUKtradetoeach countryalsopointstothebillingarrangementsforstatisticalrecordingbeingquitedifferentfromtheoriginto destinationflows. Figure2belowshowstheautomotivesectorwithIrelandasthegreatestintonnesfromthe UKandnumber3byvaluecomparedtoGermanybeingnumber2bytonnesbutnumberoneinvaluebya factorof2.Thiscanonlyimplythatthesesupplychainsarebeingoperatedfororganisationalandprocess convenience,butatalevelofdetailthatisnotexposed. Figure2–SITC78TradefromtheUKtoEU27rankedbycountry–EURandTonnes Supplychainimplications Theimplicationsforthetwosectors,foodandautomotive,arequitedifferent. Forfooditislikelythatthereisnotmuchintermediateprocessingbutthedatashowsadisproportionate impactforBelgiumandNetherlands.Thisimpliesthepresenceoftheso-calledRotterdameffectandasa resulttariffsmayhavealreadybeenleviedwhenthegoodsarriveintheUK.Re-exportdutyreliefschemesor re-aligningtheflowstoUKportswillmitigatetheimpactonconsumersHoweverforlocalEUproduction,the impactofAVandNAVtariffswillbepotentiallyseriousandunsustainable.Companiesinthefoodsector shouldbetracingorigins,applyingthedutymeasuresandconsideringnewsourcesorrealigningflows.This maywellbeaboostfortheUKfoodindustry,ascostoftariffsoutweighanyproductioncostdifferenceswith lowcostEasternEUproducers. Forautomotivegoodsandthecomponentsthepictureisyetmorecomplex.TheUKautomotiveindustry producesanannualturnoverofGBP71.6billionandranksfirstinexportsworthGBP34.3billionwhichare estimatedtohaveaddedapproximatelyGBP18.9billionofrealvaluetotheBritisheconomyin2015(SMMT, 2016).TheEuropeanUnionabsorbsmorethan35%oftheseUKexportsandreciprocallyexportgoodswitha valueofmorethanGBP13.5billiontotheUK(OpenEurope,2015).Variousreportsflaggedtheautomotive industryasoneofthemostcriticalsectorsfollowingBrexit(KPMG,2014;OpenEurope,2015;CBI,2016;KPMG, 2017). KotiosandBraithwaite 9 ThemajorconcernisnotlimitedtoindividualtariffscostbutwithimposedNTMsunderWTOtraderules, especiallyRoO.TheUKcontentisestimatedtobelessthan40%oftheproductvaluewith20-50%depending onthecase,sourcedfromtheEU(KPMG,2014).Inthesamereport,industryprofessionalsfromautomotive companiestradingwithintheUKlikeFordandNissanstatethattheirpan-Europeanoperationsarebuiltfor theSingleMarket.Andthat’sbecausetheEUmarketprovidestheopportunitiesforeconomiesofscale, especiallyfornicheproductsforemergingmarkets. Practically,theautomotivesectorisbuiltaroundintensesupplychainoperationswhichtransportgenericparts andWIPinandoutoftheUKindifferentforms,linkingdifferentlargeandspecialisedproductionunitsuntil thefinalproductisassembled.AnillustrationofadrivelinesupplychainbyGKNinFigure3providesa representativeexampleofautomotivesupplychainoperations.SomepartsoftheconstructingblockswereUK madeandexportedtoanEUdestinationforproductionandwouldbesubjectedtoEUtariffs.EU-produced WIPblockswillbesubjectedtotariffsastheyentertheUKforfurtherprocessing.Thedrivelinewillbe producedintheUKtobeusedindomesticproductionorexportedtoEUandre-importedtotheUKaspartof avehicle. Figure2–SourcingandassemblyofEUAutomotiveDriveTrains(SourceGKN) Assemblerswillbeabletoforcomponentdutyreliefonexportso,theultimatequestionconcernsmostlythe finishedconsumerproduct,whichismostimportantinvalue-creationandmarketprice.RoOandfinalUK&EU contentincaseofaWTOtradingenvironmentwillbecriticalascontentlimitswillbeimposed.The disaggregatedanalysisinto5-digitSITCcouldgiveaninsightofthecostsandemergingrisks.However,a completelyaccurateanalysisispossibleonlybyconsideringeachproductionandsupplychainsetting separately.Therequiredsupplychainadjustmentscanbedeterminedbytracingcurrentcomponentflowsand finalcountrycomposition.TheexpectationisthatUKassemblerswilldriveforincreasedlocalcontenttohedge therisks;thisisatrendalreadyreportedbysomeindustryinsiders. Theimplicationsforsupplychainsbasedontheseshortinsightsisthattheywillrespondtocostsandriskby re-configuration.Thisisanopportunityaswellasathreatandtheimpactwillbefirmspecific.Itappears boardsinthetwosectorsanalysedshouldbeundertakingdetailedsupplychainmappingandriskmitigation– soonerratherthanlater. Applicationandlimitations TheanalysisinthispapershowsthattheuseoftradedataandWTOtariffscanprovidedetailedinsightsinto thescaleoftradingandsupplychainriskspost-BrexitbasedonWTOrules.Assuch,themethodisprovenand cancontributetocompanies’andgovernmentplanning.Companiesshouldbeusingtheapproachalongside detailedmappingtodeterminewhereto‘straightenout’theirchainsbasedondetailedmappingandanalysis. Itisclearlynotacompleteorperfectmethodologysincetheactualexperienceofindividualbusinessesbased ontheirparticularsupplychainsandclassificationswillvary–hencetheneedfordetailedmappingand scenariotesting.Italsoappearsunsafetogeneralisebecausedataisdistortedbycorporations’fiscal architecturesandphysicalshippingpatterns.Theconclusionsofthemethodmayalsobelimitedbythetrade dataused;theobligationtoreportpreciselyfortradeislesshardthanfordutiesandtheintraEUtradehasno tradingdutiesatpresent.PostBrexittherewillbeanincreasingneedfordutyclassificationservicesand complexdutyreliefschemes–allofwhichexisttoday,butarenotappliedbymanycompanies. KotiosandBraithwaite 10
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