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Tjalling C. Koopmans Research Institute
(text) Discussion Paper Series nr: 09-21(Vul hier de titel in.) Theory and Evidence on Mergers and Acquisitions by Smalland
Medium Enterprises(vul hier de auteurs in) Utz WeitzelKillian J McCarthy
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TjallingC.KoopmansResearchInstituteUtrecht
SchoolofEconomicsUtrechtUniversity
Janskerkhof123512BLUtrecht
TheNetherlands
telephone+31302539800fax+3130253
7373websitewww.koopmansinstitute.uu.nl
TheTjallingC.KoopmansInstituteistheresearchinstituteandresearchschoolofUtrechtSchoolofEconomics.Itwasfounded
in2003,and
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namedafterProfessorTjallingC.Koopmans,Dutch-born
NobelPrizelaureateineconomicsof1975.
Inthediscussion
papersseriestheKoopmansInstitutepublishesresultsofongoingresearchforearlydissemination
ofresearchresults,andtoenhancediscussionwithcolleagues.
PleasesendanycommentsandsuggestionsontheKoopmansinstitute,orthisseriesto
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ontwerpvoorblad:WRIKUtrecht
How
toreachtheauthors
Pleasedirectallcorrespondencetothe
firstauthor.
UtzWeitzel
UtrechtUniversityUtrechtSchoolof
EconomicsJanskerkhof123512BLUtrechtTheNetherlands.E-mail:u.weitzel@econ.uu.nlMaxPlanckInstituteofEconomicsEntrepreneurship,GrowthandPublicPolicyGroupKahlaischeStrae10,07745
Jena,Germany
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KillianJMcCarthy
Rijksuniversiteit
Groningen,SchoolofEconomicsandBusinessPOBox800,9700AVGroningen
theNetherlandsE-mail:[email protected]
Thispapercanbedownloadedat:http://
www.uu.nl/rebo/economie/discussionpapers
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UtrechtSchoolofEconomicsTjallingC.
KoopmansResearchInstituteDiscussionPaperSeries09-21
TheoryandEvidence
onMergersandAcquisitionsbySmallandMediumEnterprises
UtzWeitzela
KillianJMcCarthyb
aUtrechtSchoolofEconomicsUtrechtUniversity
aMaxPlanckInstituteofEconomicsJena,Germany
bSchoolofEconomics
andBusinessRijksuniversiteit
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Groningen
August2009
Abstract
Thetheoryofmergersandacquisitions(M&As)hasbeen
developedalmostexclusivelyfromthestudyoflargedealsbylargefirms.In
thispaperwearguethatthebehaviourandsuccessofM&Asbysmallandmediumsizedenterprises(SMEs)maybesignificantlydifferent.Accordingly,werevisit
establishedM&Atheories,
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anddevelopatheoreticalframework,andseveral
testablehypotheses,regardingthedistinctivefeaturesofSMEM&As.Ourempiricalresults
supportourexpectationsandshowthat,comparedtolargefirms,acquiringSMEs:rely
moreintensivelyonexternalgrowthviaM&As;aremorelikelytobewithdrawn,suggestingthatSMEsaremoreflexible,andmoreabletoavoiddeals
thatturnsour;
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and,finally,SMEM&Asaremorelikely
tobefinancedwithequityratherthandebt,indicatingthattheinfluential
financialpeckingordertheoryisoflessrelevancetoSMEs.
Keywords:
mergers,acquisitions,smallandmediumsizedenterprises
JELclassification:M13,G34
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1Introduction
Thereis
alongtradition ofacademicresearch on mergersandacquisitions(M&A)within finance,businessand economics.1
Sincetheverybeginning, thishasconsidered questionsrelatingto performanceevaluation and hasbeenconcerned, primarily, with issuesrelating, forexample, to what sort of returns mergers
generate, and for whom.
Thefocusofthisresearch, however, hasbeen ontheroleofthelargerM&Aevents, and preciouslittleattention hasbeen devoted to thequestionofsmalland mediumsized enterprises(SMEs). Probablythe
mostprominentreason for
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thisisbecausemostSMEsarenot
publiclyquoted -afactwhichmakesitdifficultto obtain reliabledataon theirgeneral
activity, let alone to evaluate their M&Aperformance records2.
And yetsizedoesmatterin mergersand acquisitions(seee.g.,Moelleret
al., 2004;2005)and SMEsareanythingbutinsignificant. In theEuropeancontext, SMEsarethoughtto representabout99%ofallfirms,to employbetween themabout65 million people, and to driveinnovationand competition. Ataglobal
level, SMEsmayeven be
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responsibleforbetween 40% to 50% ofworld GDP (European Commission, 2005)
In
thispaperweattemptto includethisimportantbutlong ignoredsectorofthe
economy,byexplicitlyconsideringtheactivityofthesmalland medium sized entrepreneurial firm within the M&A industry.
Wepresent
directandindirectevidencewhich suggestsnotonlythatthebehaviourand financialsuccessofmergersbySMEsmaysignificantlydifferfromlargerpublicfirms, butalso thatthe
underlyingmergertheories
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which motivatetheseventuresmightneed to berevisited toaccount
forthisdiscrepancy. Theexistingevidenceon mergersandacquisitionshasbeen almostexclusivelydeveloped on the
basisoflargepublic firms and this, wesuggest, needs to be corrected.
Thispapermakesamodestattemptat
rectifyingthislongheld bias. Itdoesso by:firstly, studyingand selectingtherelevantmergertheories;secondly,bytranslating theseinto anumberoftestablehypothesesonSMEM&As;and, finally, byempirically
consideringand commentingupon the applicability of
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these theories to the special case of SME M&As.
1Althoughtechnicallyinaccurate,it
iscommonpracticewithintheliteraturetousethe
termsmerger
,acquisition,
takeoverandM&Asynonymously.2Thevastmajorityofperformancestudies
employeventstudymethodologiesthatrely
onabnormalreturnsofpubliclytradedstockprices,andwithoutaninitialpublic
offering,most
smalltomedium
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sized,privatelyheldentrepreneurialfirms
(especiallyintheirearlystagesorwhentheysimplyaretoosmall
tobeofany
interestforpublicequity)areautomaticallyexcluded
fromthesestudies.
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In doingso, wefind that,compared to largefirms,acquiring
SMEsare:
(1)morelikelyto relyon M&Aasan externalgrowth option;
(2)morelikelywithdrawfromadeal, afinding which, wesuggest, impliesthatSMEsaremore
flexible,and betterableto avoid dealsthatturn sour;and(3)thatSMEM&Asaremorelikelyto befinanced with equityoverdebt,indicating that thepecking order theory is of less relevance to SMEs.Thepaperisstructured asfollows:
Section Two beginsbyoverviewing
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theliteratureon mergers, and bydevelopinganumberof
hypothesesonhowthesemightrelateto SMEs.1Section Threeintroducesthedataand
methodology, which weemploy for testing, and Section Four discusses theresultsand majorimplicationsofourresearch.Section Fiveconcludesthediscussion bydrawing implications, and by
suggestingsomepotentialavenues for future research on SME mergersand acquisitions.
2LiteratureandHypotheses
To understand theroleoftheSMEwithin theM&Aindustryweexploreanumberof
questions. Webegin byasking
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whoarethesmalland mediumsized entrepreneurialfirms
ofinterestto ourresearch?Secondly, weask whytheseSMEsmerge, and whyweshould expectthem
to performdifferentlyto largerfirms?Next, weconsiderhowweexpectthemto perform, and finally, weexplorethrough what
mechanisms we expect SMEs to finance their mergers and acquisitions.
2.1. Who are the SMEs?Atpresentthereisnoconsensuson thethreshold atwhich enterprisesareconsidered small,mediumorlarge. Asillustrated byTable1,currentEuropean definitions, forexample, categorisecompanieswith
fewerthan 10employees
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asbeingmicroenterprises, thosewith fewerthan 50 asbeing
small,and thosewith fewerthan 250 asmedium(EUCommission, 2005). TheUS, bycontrast, definessmallashaving fewer
than 100 employees, and medium as havingfewerthan 500.
Thedistinction ofentrepreneurialfirmsisatleastequallydebated (see
e.g., Johnson, 2007), and theexistingmergerdatadoesnotdistinguishthemalongapredetermined workingdefinition. Atpresent,entrepreneurialfirmsarevariouslydistinguished in termsofownershipprofiles, innovativenessand risk attitudes, with theeffectthatmarkedly
different sets of firms can be studied within the field entrepreneurship.
1
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Notethatwefocusontheoriesthat
explainindividualmergersandnotmergerswaves.
Severalapproachesattempt
toexplainacommonlyobservedwave-likepatternof
mergers.SeeMartynova
andRenneboog,2008foranexcellentreview.
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Basedon thedataavailableto us, however,and
thefocusofboththerelevantempiricalstudieson mergers(seebelow)and on the
economicroleofentrepreneurialfirms, webelievethatitisreasonableto suggestthatthe
(single)setofSMEswilloverlapsignificantlywith thesetofentrepreneurialfirms. Weassumethat, in general, entrepreneurialfirms,and in particularnascentventures, willbesmallerfirms, and also thattheywillhavemore
privatethan publicequity
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than theaverageofthetotalpopulation offirms
(seeJohnson,2007;Deakinsand Freel, 2006). Wefullyappreciatethatsuchadefinition isimperfect, but
suggestthat, in thepresenceofdatalimitations, theoverlapbetween thetwo willbesufficiently large to provide us with some useful results.
Table
1:EuropeanCommissionSMEDefinitions
CategoryHeadcountTurnover*Assets*IndependenceMicroEnterprises
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Enterprises=5050mil>43mil
*Atleastoneof
theseconditionshavetobesatisfied.AllmonetaryvaluesincurrentEuros(also
forU.S.bidders).
**Thedetailedconditionsforindependencearemorecomplex(seesourceabove)
2.2. Why do SMEsMerge?Thequestion ofwhy
whydo SMEsmerge, and why
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should weexpectthemto performdifferentlyto largefirms
isnotso easilyaddressed. To answerthesesortsofquestionswemustconsiderthe
applicabilityofthevariousmergertheories, and mustoverviewtheliteraturewhich hasbeen putforward to explainmergers
in general. Dueto theexistenceofsomeempiricalfindings, which suggestthatmergersunder-performthemarket, thisliteraturehasbeendivided into two broadschools thevalue-increasing, efficientmarketschool, and value-decreasing agency schools and in our analysis we adopt this method.
The Value-Increasing Theories
Accordingto the
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valueincreasingschool, mergersoccur, broadly,becausemergersgenerate
synergiesbetween theacquirerand thetarget,and synergies, in turn, increases the value of the firm (Hitt et al., 2001).
Thetheoryofefficiencysuggests, in fact, that
mergerswillonlyoccurwhen theyareexpected to generateenough realisablesynergiesto makethedealbeneficial
to both parties;it isthe symmetricexpectationsofgainswhich resultsin afriendlymergerbeingproposed and accepted. Ifthe
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gainin valueto thetargetwasnot
positive, itissuggested, thetargetfirmsownerswould notsellorsubmitto theacquisition, and if
thegainswerenegativeto thebiddersowners, thebidderwould notcompletethedeal. Hence, ifwe
observeamergerdeal, efficiencytheorypredictsvaluecreation with positivereturnsto both theacquirerand thetarget. Banerjeeand Eckard (1998)and Klein (2001) evidence this suggestion.
FollowingChatterjee(1986), wemust, however, distinguish betweenoperativesynergies orefficiencygains
achieved through economiesofscale
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andscope andallocativesynergiesor
collusivesynergiesresultantfromincreased marketpowerand an improved abilityto extractconsumersurpluswhen commenting on value
creation in mergersandacquisitions. Mostofthemorerecentliteratureconcludesthatoperatingsynergiesare
themoresignificantsourceofgain(seee.g., Devosetal.,2008;Houston etal., 2001;Mukherjeeetal., 2004)1, although itdoesalsosuggestthatmarketpowertheoryremainsa
valid mergermotive.Increased allocative
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synergiesissaid to offerthefirmpositiveand
significantprivatebenefits(Feinberg, 1985)because, ceterisparibus,firmswith greatermarketpowerchargehigher
pricesandearn greatermarginsthrough theappropriation ofconsumersurplus. Indeed,anumberofstudiesfind increased
profitsand decreased salesaftermanymergers(Prager,1992;Chatterjee, 1986;KimandSingal, 1993;Sapienza, 2002;Cefisetal.,2008)-afindingwhichhasbeeninterpretedbymanyas
evidenceofincreasing
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marketpowerand allocativesynergygains(seee.g., Gugler et al., 2003). From a dynamic
point of view too, marketpoweris said to allow for the deterrence ofpotential future entrants (Motta, 2004;Besanko, 2006;Gugleretal., 2003), which canagain afford thefirmasignificant
premium, and so offeranother long-term source ofgain2.
In an efficientmergermarketthetheoryofcorporatecontrolprovides
athird justification, beyond simplysynergisticgains, forwhymergersmustcreatevalue. Itsuggeststhatthereisalwaysanotherfirmormanagementteamwillingto acquirean underperformingfirm, to removethosemanagers
who havefailed to capitaliseon the
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opportunitiesto createsynergies, and thus to improve theperformance of its assets (Weston etal.,2004). Managerswho offer
thehighestvalueto theowners, itsuggests,willtakeovertherightto manage
thefirmuntiltheythemselvesarereplaced byanotherteamthatdiscoversan even highervalue
foritsassets.
1Mukherjeeetal.(2004)findthat90%ofmanagersidentifyoperativemotivesasa
reasontomerge,and
Devosetal.
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(2008)suggestthat,ofatotal10.3%
synergygain,
some8.3%arisethroughoperativesynergies.2Few
bidders,ofcourse,openlyannouncethegoalofincreasedmarketpowerasan
explicitmergermotivation,butthefactthathorizontalmergersthatis,mergers
betweencompetitorsdominatetheM&Aindustry(Gugler
etal.,2003)
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issurely
indicativeofjust
howpopularitisasamergermotive.
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Hence, inefficientmanagerswillsupplythemarket
forcorporatecontrol(Manne, 1965), and managersthatdo notmaximiseprofitswillnotsurvive, even ifthe
competitiveforceson theirproductand inputmarketsfailsto eliminatethem.Hostiletakeoversshould, asa
result, beobservedamongstpoorlyperformingfirms, and amongstthosewhoseinternalcorporategovernancemechanismshavefailed to disciplinetheirmanagers. Onceagain theempiricalevidenceagain seemsto supportthisconclusion (seee.g., Hasbrouck, 1985; Palepu, 1986).
Fromthebidders
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perspective, thetheoryofcorporatecontrolispartially
based on efficiencytheory, although therearetwo importantdifferences. First, itdoesnotassume, perse, theexistenceofsynergies
between thecorporateassetsofboth firms, butratherbetween thebiddersmanagerialcapabilitiesand thetargetsassets. Hence, corporate
controlpredictsmanagerialefficienciesfromthere-allocation ofunder-utilizedassets. Second,itimpliesthatthetargetsmanagementteamislikelytoresisttakeoverattempts, astheteamitself
and itsmanagerialinefficiency
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isthemain obstacleto an improved utilization ofassets. Typicalbiddersare
eitherprivateinvestors orcorporateraiders who bringin morecompetentmanagementteams, ormoreefficient
firms, asmeasured byTobins Q, with bettergrowth prospects and superiorperformance.
The Value-Destroying Theories
Theimpactofmergers
and acquisitionson theperformanceoftheacquiringfirmremains,however, atbest, inconclusiveand,atworst,systematic[ally]detrimental(Dickerson etal., 1997). Mergersfailtocreatevalue, itissuggested with somewherebetween 60 and 80%classified as failures
(Puranamand Singh, 1999) and a number of valuedestroying theories have
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been put forward in explanation.
Generallyspeaking, thesevalue-destroying theoriescan bedivided into
two groups:thefirstassumesthatthebiddersmanagementisboundedlyrational, and thusmakes
mistakesand incurslossesdueto informationalconstraintsdespitewhataregenerallyvalue-increasingintentions. Thesecond assumes
rationalbutself-servingmanagers, who maximiseaprivate utility function, which at least fails to positively affect firm value.
Withinthefirstcategory, thetheoryofmanagerialhubris(Roll, 1986)suggeststhatmanagersmayhavegood intentionsin increasingtheirfirms
valuebut, beingover-confident, they
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over-estimatetheirabilitiesto createsynergies. Over-confidenceincreasesthe
probabilityofoverpaying(Hayward and Hambrick, 1997;Malmendierand Tate, 2008), and may
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leavethewinningbidderin thesituation of
awinner's-curse1, whichdramaticallyincreasesthechancesoffailure(Dongetal.,2006).
Empiricallyspeaking, Berkovitch and Narayanan (1993)find strongevidenceofhubrisin UStakeovers, and Goergen and Renneboog (2004)find thesamein aEuropean context. Thelatter
estimatethataboutonethird ofthelargetakeoversin the1990ssuffered fromsomeformofhubris. Malmendierand Tate(2005)showthatoverlyoptimisticmanagers, who voluntarilyretain in-the-moneystock optionsin their
ownfirms, morefrequently
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engagein lessprofitablediversifying mergers, andRau and Vermaelen (1998)find thathubris
ismorelikelytobeseenamongstlowbook-to-marketratio firms thatis, amongst
theso-calledglamour firms than amongst high book-to-market ratio valuefirms.
Jensens(1986)theoryofmanagerialdiscretionclaimsthat
itisnotover-confidencethatdrivesunproductiveacquisitions, butratherthepresence of excess liquidity, or freecash flow (FCF). Firms whose internalfundsarein excessoftheinvestmentsrequired to fund positivenetpresentvalueprojects, itissuggested, are
morelikelyto make
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quick strategicdecisions, and aremorelikelyto engagein large-scalestrategic
actionswith lessanalysisthantheircash-strapped peers.Highlevelsofliquidityincreasemanagerial
discretion, makingitincreasinglypossibleformanagersto choosepooracquisitionswhen theyrun outofgood ones
(Martynovaand Renneboog, 2008). Indeed,severalempiricalstudiesdemonstratethattheabnormalsharepricereaction to takeoverannouncementsbycash-rich biddersisnegativeand decreasingin theamountofFCFheld bythebidder
(seee.g., Harford, 1999). Moreover, itis
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suggested thattheotherstakeholdersin thefirmwill
bemorelikelytogivemanagementthebenefitofthedoubtin such situations, and to
approveacquisition planson thebasisoffuzzyand subjectiveconceptssuch asmanagerialinstincts, gutfeelingsand intuition, based on high
pastand currentcash flows(Rau andVermaelen, 1998). Thus, likethehubristheory, thetheoryofFCFsuggeststhatotherwisewell-intentionedmangersmakebad decisions, notoutofmalice,butsimplybecausethe
qualityoftheir
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decisionsarelesschallenged than theywould bein theabsence of excess liquidity.
Ofcourse, asthedegreeofmanagerialdiscretionincreasesin FCF, orin high marketvaluations
(asin thecaseofglamourfirmsabove), orinotherproxies, so, too, doestheopportunityfor
self-interestedmanagerstopursueself-servingacquisitions(Jensen, 2005). Itisgenerallyagreed thatmanagerialself-interestdoesplayarolein M&A;research hasshown that
1Thewinner'scurse
isaphenomenon
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thatoccursincommonvalueauctionswith
incompleteinformation.Iftheauctioneditemisworthroughlythesameto
allbidders,thewinneristhebidderwhomakesthehighestestimateof
itsvalue.Ifweassumethattheaveragebidisaccurate,thewinningbidderoverpays.
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bidderreturnsare,forexample, generallyhigher
when themanageroftheacquiringfirmisalargeshareholder(Lewellenet
al., 1985), and lowerwhen managementisnot(Langetal., 1991;Harford 1999). Thissuggeststhatmanagerspaymore
attention to an acquisition when theythemselvesarefinanciallyconcerned. Further, itsupportsthenotion ofagencycostand themanagerialtheoriesofthefirm(Berleand Means, 1932;Marris,1963), which broadlysuggestthatmanagerspursueself-serving
acquisitions, and it is this fact that leads to value-destruction.
The
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theoryofmanagerialentrenchment(Shleiferand Vishny, 1989),for
example, claimsthatunsuccessfulmergersoccurbecausemanagersprimarilymakeinvestmentsthatminimise
therisk ofreplacement. Itsuggeststhatmanagerspursueprojectsnotinan effortto maximiseenterprise
value, butin an effortto entrench themselvesbyincreasingtheirindividualvalueto thefirm. Entrenchingmanagerswill, accordingly,makemanager-specificinvestmentsthatmakeitmorecostlyforshareholdersto replacethem, and valuewill
bereducedbecause
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freeresourcesareinvestedin manager-specificassetsrather
than in ashareholdervalue-maximisingalternative. Amihud and Lev(1981)empiricallysupportthisnotion, and suggestthatmanagerspursue
diversifying mergers in order to decreaseearningsvolatility which, in turn,enhances corporate survival and protects theirpositions.1
Ofcourse, entrenchmentisnotonlypursued for
jobsecurityitself, butalso becauseentrenchedmanagersmaybeableto extractmorewealth,power, reputation and fame. While entrenchmenttheoryprimarily explainstheprocessofhowmanagersposition themselvesto achievetheseobjectives, thetheory
ofempire-buildingand other
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related, well-testedtheoriesprovideboth themotivationsand evidencebehind these
objectives(Marris, 1963;1964;Ravenscraftand Scherer, 1987;Rhoades,1983;Black, 1989). Accordingto empiretheory,managersare
explicitlymotivated to investin thegrowth oftheirfirmsrevenues(sales)orassetbase, subject to a minimumprofit requirement (Marris, 1963).2
1ShleiferandVishny(1991)suggestthatduringthethirdmergerwaverisk
diversificationplayedalargeroleinM&Apolicy
aspriorto
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the1980smanagers
hadinsufficient
incentivetofocusonshareholderconcernsandithasbeen
suggestedthattheriseoftheconglomeratemaybeanoutgrowthof
thisprinciple-
agentproblem(MartynovaandRenneboog,2008).2Mueller(1969)introducedmergersasavehicleforgrowthmaximization(notprofit
maximization),
andWilliamson(1964)
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complementsthisbyintroducingcompany
cars,excessstafforprestigiousinvestmentsascomplementarymotives.Rhoades
(1983)analysesthethirdmergerwave,andshowsthatmanagerialpowerservesas
anexplanationoffirmgrowththroughM&A,andconcludesthatthepowermotive
replacedtheprofitmotiveasthedrivingforce
behindlargecompanies'
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behaviour.
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Modifying and ApplyingMerger Theories to SMEs
Themerger
theoriesdescribed abovehasevolved fromtheanalysisofrelativelylarge-scaledealsbypublic
acquirers,with littleeffortbeingexplicitlymadeto understandingtheroleofSMEs. However, wesuggestthat SMEs are, different to their larger
rivals, forat least two reasons.
Table2:RefiningthesetofApplicableMergerMotives
OutcomeBenefitsHow?TheoryLinkSMEs?Netgainsthroughoperativesynergies
EfficiencyHighGains
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OwnersWealthtransfersfromcustomersMarketPower
SynergyMediumNetgainsthroughmanagerialsynergiesCorporateControlMediumOwnerNet
lossesthoughoverpayingHubrisBoundedMediumIntendedNetlossesduetovaluationmistakes
ManagerialDiscretionRationalityMediumNetlossesasLossesmanagersmakeacquisitionstoEntrenchmentLowManagerreinforcejobpositionsAgencyCostsNetlossesasmanagersmake
acquisitionstoEmpire
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BuildingLowincreasefirmsize
Firstly,wesuggestthatbecausethemanagerisoften theownerin thecase
ofan SME, manyofthevalue-destroyingtheoriesdiscussed abovewillsimplynotapply. Mostofthe
value-destroyingtheoriesweconsidered aroseoutofagencyproblems thatis, problemsofcompetingand notoverlappingobjectivefunctionswhichoccurwith theseparationofownershipand control. In thecase
ofowner-mangers, however,principle-agent costs
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areremoved, and so the theories ofentrenchmentandempire-buildingare unlikely to playa
part in SME M&As.
Secondly,andeveninthecaseofaprinciple-agentstructure, we
suggestthattheinformation asymmetries, whichfacilitateself-interestedbehaviour, willbereduced in thecaseofSMEs. Largerfirms, we
suggest,havedeeperhierarchies, moredispersed responsibilitiesand more
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complexsystemsofaccountabilitythen theirsmaller
peers, and thisobstructstransparencyand information symmetries. Wesuggestthatthelevelofinformation asymmetrysuffered bythe
firmisinverselyrelatedtoitssize, and thatsmallerfirmswillallowself-interested managersfewer
opportunitiesto actin aself-interested way.Thusthelikelihood thatagency motives willplay a role in SMEs is significantlyreduced.
Byrefiningthesetofmergermotivesto excludetheagencymotives(seeTable2), we
can clearlyseethat
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SMEM&Aswillmoreoften bemadein the
interestsoftheowners. Onlyhubrisand theproblemsofover-valuation remain aspotentialsources
ofvaluedestruction, butaccordingto Moelleretal., (2004)thesetoo should belessofaproblem
in SMEs.Moelleretal., (2004)examinesasampleof12,023 mergersovertheperiod 1980 to 2001 and findsthatlargefirmsaremorelikelyto completeadealthen smallfirmsbecause,they
suggest, hubrisismore
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ofaproblemforlargerfirms. Managersin smaller
firms, theysuggested, areaslikelytomakethesameboundedlyrationalmistakesas
theircolleaguesin largerfirms, butbecausetheinterestsofmanagersin smallfirmsaremore
closelyaligned with theowners, themanagersin smallfirmsaremorelikelyto withdrawfromadealoncetheyrealisetheirmistakes(forinstance, in aduediligencepriorto consummation). Evidencethat
thenumberof
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value-destroyingmistakesisreduced in thecaseofSMEs
should thusbefoundbylookingatthenumberofwithdrawn bids, and soweoperationalise
ourintuition thatvalue-destroyingmotivesarelesslikely to play a role with SME M&As with the following hypothesis:
Hypothesis1:SMEsare
morelikelyto withdrawfrom(arguablyvalue-destroying) mergers than large enterprises
2.3. How do SMEsperform in M&As?Fromtheprecedingdiscussion wecan assumethatSMEM&Asfaceahigherprobabilityofsuccessful
mergersthantheir
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largerrivals. Theyfaceloweragencycosts, andare
morelikelytobewithdrawn when motivated,wesuggest, bymistakesand misevaluations. Becauseofthiswe
believethat SME M&A will, on average, demonstrate superiorperformance.
Preciouslittleattention hasbeen paid, however, to theroleoftheSMEperformance
within theM&Aindustry. Thenearstandard methodologyinmostM&Aresearch is,in fact, to placealowerlimiton dealvaluetypicallyin therangeof$10 to $50 million with thedeliberateintentionof excluding smaller firms with smaller deals (e.g., Schlingemann, 2004).
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Researchhasshown, however, thatsizematterswhen it
comestoperformance, and thatthetwo areinverselyrelated. Carlineetal. (2002),for example, shows that larger deal valuespredictpoorer
performance, andthishasleadto thesuggestion thatsmallerfirms, making smallerdeals,maymakebetteracquirers. Moeller
etal(2004, 2005)empiricallyconfirmthissuggestion. Definingsmallfirmsasthosefirmswhosecapitalisationfallsbelowthe25th percentileofNYSE, Moelleretal(2004)showthat
smallacquisitionsmade
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bysmallfirmsaretypicallyprofitable, whereaslarge
firmsmakinglargeacquisitionsoften resultin largedollarlosses. Intheirsampletheyfind that
shareholdersfromsmallfirmsearned roughly$9 billion fromtheiracquisitionsduringtheperiod 1980-2001, whereasshareholdersfrom
largefirmsmadesignificantlossesovertheperiod ofabout$312 billion. Defininglargelossdealsasacquisitionswithshareholderwealth lossesin excessof$1 billion, Moelleretal(2005)find,
in fact, thatwhilesuch mega-loss
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dealsrepresentonly2.1%ofallM&A
eventswhich occurred intheperiod 1998-2001, theyaccountfor43.4%ofthemoneyspenton acquisitions. By
doingso, Moelleretal. (2005)showthatrelativelyfewlargeloss-making dealscontributesignificantlyand
disproportionallytothelowaverageperformanceofmergers,andprovidesome solid evidence thatsmall firms mayperformabove average.
Consequently, theliteraturesuggeststhatsmallerfirms, on average,willmakeforbetter
acquirers, andbecausefurthermore
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theM&Asthattheypursuewillbe
morelikelyto createvalue,webelievethatM&Aislikelyto bean important
growth strategyforSME. WepredictthatSMEmanagerswillbeawareofthis, and consequentlywe
predictthatSMEswill make up a sizableproportion of the annual M&Apopulation.
Hypothesis2:SMEsthatpursueexternalgrowthand engagein M&Aactivities,do so with thesameoreven greaterintensitythan large enterprises.
2.4. How do SMEs
financeM&As?Mergers
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and acquisitionsarebig business-averagedealsize(based on
disclosed prices)was$198.2 millionin 2006 (Wilmerhale, 2007)-andthis raises the question as to how SMEs go about raising M&A finance.
Myersand Majluf(1984)arguethat
differentfundscomeatdifferentcostsfordifferentfirms. Forpublicfirms, theysuggest, externalfinancing
optionsaremorecostlythan internalfinancingoptions, becauseexternalcapitalissubjectto adverseselection andtransaction costscaused bytheexistenceofasymmetricinformation between thefirmsmanagersand its
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investors. Internallygenerated cash in theformoffreecash and retained
earnings isnotsubjectto thesecosts, and soisthecheapestformofcapital1. Several
studieshaveshown thatcash-financed dealsare,consequently, morebeneficial(oratleastlessdetrimental)to bidding
shareholders(e.g., Carow et al., 2004; Huang and Walking, 1987).
With externallysourcedoptions, debtischeaperthan equitybecauseconvincingonebank toinvest, itissuggested,incurslesscoststhanconvincing agroupofown/old acquirershareholders
to voteforan M&A
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deal, and to dilutetheirstock, beforethenconvincing agroupof
target/newshareholdersto acceptthisnewstock (Carpenter,1995). Thus,Myers and Mailuf(1984)propose afinancial pecking order hypothesis inthe form: internal cash, then debt and then equity.
Wesuggestthat,forthespecialcaseofSMEfinancing, thetheory
doesnotfullyapply. Internalcash reserveswill, weargue,remain thepreferredsourceofcapitalforSMEsbut, becauseoftheirspecialfeatures, therelative costs and benefits of using debtand equitywill differ.
Wehave
alreadyargued thatmany
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SMEsareowner-managed, and so iftheholdingsofold shareholders
arediluted forexample, bytheissueofnewstocksforthetarget
shareholdersto financethedealwith astock-for-stock exchange thenthiswillbedone,we
suggest, bymanagerswhoarealso incumbentshareholders, and thusfreefrominformation asymmetries.Baeet al. (2002)find some supportive evidence for this conclusion.
Usingthesameargument, wesuggestthatthecostsinvolved inconvincing thetargetshareholders
to acceptthestock of
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theacquirerwillalso belowerforSMEs. SMEs, it
isargued, buysmallertargets, which arealso moreoften owner-managed than largerenterprise. Ifthesetargetmanagers, sittingon theother
sideofthetable, go through allthenegotiationsand alltheduediligencereportswith theowner-managers
oftheacquirer, then theinformation symmetryfaced bythem, asreceiversofthenewlyissued shares, willalso bereduced. Furthermore, itissuggestedthateven ifsomeoffirmsarepubliclyquoted, SMEstypicallywill
havemoreconcentrated block-holders
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than largerfirmswith moreatomisticownership, whichmakesit
easierto approach and easiertoconvince.Becausetheseshareholderswillalso haveaseatin the
board, theywillagain face relatively lessinformation asymmetries to their largerrivals.
In contrast, goingto abank, remainsarelativelycostlyoption. Next
tothecostsofnegotiatingwith theacquirer which in thecaseabove, would
1Indeedanumberofstudiessuggestthatfirmswithinternalcashreservesare
betterableto
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adapttoachangingbusinessenvironment(see
e.g.,Bruner,1988,WanandYin,2009),andexcessliquidityandfinancial
slackisanimportantfeatureforinnovativefirms(seee.g.,NohriaandGulanti,
1996,Damanpour,1987,MajumdarandVenkataraman,1993,Singh,1986)experimentingwithnewproducts,technologiesormarkets(e.g.,MajumdarandVenkataraman,1993,Moses,1992).
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besufficientto arrangeastock-for-stockexchange
athird party,thebanks, isrequired inthecaseofdebt, andthesetoo haveto be
convincedto financethedeal. Smallercompaniestend tobelesstransparentthanlargercompanies, and thiscreates
difficultiesforbanks, andraisescosts.Thus, thepeckingorderforSMEsiscash, then stock and thendebt. Ifthedealistoo largeto befinanced with internalcash/retained earnings, stock-for-stock-exchange is, we argue, the nextbest means of financing.
ForSMEs, financing
with internalcash isan unlikely
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scenario. SMEsareunlikelyto havethenecessaryliquid resources
to coverthecostofanacquisition, and cognisantoftheimportanceofretainingacushion ofliquidity(Cyertand March, 1963), theyareunlikelyto over-utilisetheirinternaloptions. Cash in SMEtransactionswillmore
likelycomefromexternaldebtsources, and becausewehaveargued thattheserepresentthemorecostlyoption, weexpectthattheconsideration paid to thetargetwillbecomprisedofmore
stock andlesscash than
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theaveragelargedeal. Thisleads us to postulate a third and final hypothesis on SMEs and M&As:
Hypothesis3:SMEsusemorestockand lesscash asmeansofpaymentthan large enterprises.
3.Data&Methodology3.1 SampleDesignTo testourhypotheseson M&AsbetweenSMEs
weemploydatafromThomson Reuterswell-known SDCmergerdatabase, and analyseallacquisitionsthatsatisfythefollowingconditions. (1)theacquisition isannounced betweenJanuary1, 1996 andDecember31, 2007;(2)theacquisition is
eithercompleted orwithdrawn, but
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notpendingorrumoured;(3)theacquirer
islocated eitherin theU.S. orin WesternEurope1;(4)thetargetislocated in thesame
countryastheacquirer;(5)theacquisition doesnotinvolvearecapitalisation, self-tender, repurchaseofshares, privatization, or
spin-offto existingshareholders;(6)theacquirerisnotoperatingin thefinancialsector(SIC6000-6999), in publicadministration (two-digit-SIC91-99), orin an unknown industry(SIC0000);(7)theacquirerand thetargetare
notowned bythe
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sameultimate
1Asdefined
inthedatabase,includingAndorra,Austria,Belgium,Cyprus,Denmark,FaroeIslands,Finland,
France,Germany,Gibraltar,Greece,Greenland,Guernsey,VaticanCity,Iceland,IsleofMan,Italy,
Jersey,Liechtenstein,Luxembourg,Malta,Monaco,Netherlands,Norway(incl.Svalbard/JanMayerIslands),Portugal,RepublicofIreland,SanMarino,Spain,Sweden,Switzerland,UnitedKingdom.
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parent;(8)theacquirerseeksfull
ownershipofthetarget;and (9)thevariablesneeded to run ouranalyses(seenextsection)
arenotmissing.Thisrefinementprocessproducesasampleof17,137 M&Aobservations.We
classifyacquirersaccordingto thelatestEuropean Commissiondefinitions on SMEs (seeTable 2), as derived by Johnson (2007).
3.2 VariableDescriptionAsdependentvariablesin ouranalysisweuse:(1)dealvaluepermergerand dealfrequency
peracquirernormalised with (that
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is, dividedby)totalassets, totalsales, and numberofemployees
ofacquirer;(2)thepercentageofstock, cash, otherin consideration;and (3)adummyfor
completed merger(=1, 0=withdrawn).Asindependentvariablesweuse:
(1)adummyfor
microfirms, smallfirms, mediumfirms, largefirms,each; and (2) a dummy for SMEs (non-largefirms=1, largefirms=0).Furthermore, and asanextensivebodyofliteratureshowsthatanumberoffirm-and deal-specificcharacteristicsaffectM&Abehaviour(see
King, etal., 2004 foran overview), we
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includeanumberofcontrolvariables in our model to account for unobserved effects. We include:
PublicversusPrivate:Officer(2007), Chang(1998)andBargeron etal(2007)each provide
evidencethatreturnsin publiclylisted firmsdifferssignificantlyfromprivatetargets, and so wecontrolfor:(1)
theacquirer and (2) the targetby status (using a dummy in each case)
Hostility:Thehostilityofthetakeoverhasbeen shown to impactreturns, although heretheevidenceissomewhatmixed (Schwert,2000). To accountforthispossibility, however, weincludean indicator
variable equal to 1 if thetargetsboard officially rejects the
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bid.
Size:AsMoelleretal. (2004, 2005)
shows, largedealsoften underperform, and thereforeweincludethelogofthedealvalue
(notused inregressionsin M&Aintensity dependentvariables(1)above asthendeal value would be on the left and right hand side of estimation)
Consideration:Ithasbeen shown thatstockpaymentsaremorefrequentlyassociated with lowerreturnsto acquirershareholders(seee.g.,Andrade, Mitchelland Stafford, 2001). Tocontrolforthis, weincludethepercentageof
consideration paid in cash and stock (butnotin the case of
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H3 testing, as it is dependent variable there).Time,Type,Trends&Location:Furthermore, we
dummyfor(1)thelocation oftheacquirer(in US=1, 0ifotherwise);(2)time, so
asto
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controlforthepossibilityofyear-and seasonal-specific
unobservedeffects;and finally, (3)industries, on thebasisofSIC1 levelcodes, soasto captureindustry-specific
effects. Finally, weusetheyearofthemergeras a count variable to capture trending effects.
Table3:SMEMergers
peryearandindustry
No.ofdealsinpermicroenterprisessmallenterprisesmediumenterpriseslargeenterprisesTotalSMEin%YEAR1996
321190
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1,0041,21817.6%1997222249
1,3681,64116.6%19986482431,5761,87315.9%199914
953641,3851,85825.5%2000281084211,2931,85030.1%2001
22762229811,30124.6%200226611479561,19019.7%200329591478691,10421.3%20041988225951
1,28325.9%2005
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23661929961,27722.0%2006
18841771,0171,29621.5%200724531789911,246
20.5%Total2147812,75513,38717,13721.9%INDUSTRY(acq)Agriculture1
012617417.6%Mining40426245860223.9%Construction273830034713.5%Manufacturing522268225,1006,200
17.7%Transp.,Utility1
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14658509308.6%Communication11
511359471,14417.2%Wholesale,Retail18541651,3751,61214.7%
Services893871,4564,2966,22831.0%Total2147812,75513,38717,137
21.9%LOCATIONWesternEurope322808572,8804,04928.9%USA1825011,89810,50713,08819.7%Total2147812,75513,38717,13721.9%STATUS
(tar)targetpublic
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542037976,5957,64913.8%target
private1605781,9586,7929,48828.4%Total2147812,75513,387
17,13721.9%
4.Results4.1. DescriptivesTable3reportsthenumberof
M&Adealsperyear, industry, locationand bytype, accordingtotheEuropean Commissionsdefinitionsofmicro,small, mediumand largeenterprises, aswellasthetotalnumberofdeals.From it we can makea number of important observations:
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Firstly,wecanclearlyseethat,
asMoelleretal(2005)suggest, smallM&Asareoverwhelmed in theaveragestatisticsby
largeM&A:214micro-enterpriseM&Asversus13,387 largefirmdeals. Despitethisweseethat
SMEsaccountforabout20%ofthetotaldealsovertheperiod;with ahigh in 2000, when SMEsaccounted for30%, and alowin 1998 ata level of 15.9%. Thisare, we suggest, sizable numbers.
Secondly, and lookingattheindustry
level, weseethat
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SMEM&Asaremoreoftenobserved in servicesand manufacturing, and least
often intransportation and utilities. Asthelatterarethemostlikelyto besubjecttominimum efficient scale
considerations, this result is an intuitive one.
Thirdly, weseethat, in absoluteterms, thelionsshareoftheSMEM&Asis
in theUS(2581 versus1169), butthatrelativelyspeaking,proportionallymoreSMEM&Asoccurred in Europe. During theperiodJanuary1996 to December2007, 28.9%ofallWestern European M&Aswere SME orientated, asopposed to 19.7% of allAmerican M&As.
Finally, wesee
that in allthree
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ofourSMEcategories, and incomparison to largerfirmstoo private
targetsaremuch morecommonthan publictargetsin oursample. Thisobservation providessomesuggestiveevidence in favour of our third hypothesis.
Table4:PairwiseCorrelations
MeanS.D.MinMax12
3456781completeddeal0.960.200.001.002targetsize(logdealvalue)3.252.10-6.9112.01-0.13(0.00)
3acquirerprivately
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owned0.010.100.001.000.01-0.03
(0.38)(0.00)4targetprivatelyowned0.550.500.001.000.11-0.33
0.00(0.00)(0.00)(0.51)5targetfriendly0.990.120.001.000.27-0.12
0.010.07(0.00)(0.00)(0.35)(0.00)6paidincash(pct)41.0344.670.00100.000.050.01-0.03-0.08-0.01(0.00)(0.11)(0.00)(0.00)(0.11)
7paidin
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stock(pct)24.5938.950.00100.00-0.12
0.11-0.030.07-0.01-0.46(0.00)(0.00)(0.00)(0.00)(0.40)(0.00)8
paidother(pct)8.4319.970.00100.000.02-0.03-0.020.100.01-0.15
-0.12(0.04)(0.00)(0.01)(0.00)(0.25)(0.00)(0.00)9acquirerinU.S.0.760.420.001.00-0.020.25-0.03-0.070.02-0.070.12-0.13(0.02)
(0.00)(0.00)(0.00)
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(0.00)(0.00)(0.00)(0.00)
Table
4then reportson thepairwisecorrelation foranumberofimportantvariablesemployed in thestudy. We
also check formulticollinearity, which does not appear to be a serious issue in this study.
4.2. Hypothesis One: On Withdrawn and Completed MergersWesuggestthatM&AsamongstSMEsaremore
likelyto bemotivatedbyvalue-enhancingobjectivesin general, and lesslikelythan largerfirms
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to completeavalue-destroyingdealmadesubject
to bounded rationality.SMEM&As, wesuggest, arelesslikelytobecompleted whendrivenbyovervaluations, mistakes
ormiscalculations, and so SMEsaremorelikelythan largerfirmsto bewithdrawn. Wetestthishypothesisby
lookingatthepercentage of withdrawn and completed dealsper firm category.
Table5reportstheresultsofthisinvestigation on aunivariatebasis.Fromthiswecan clearlyseesomeevidencein supportof
ourhypothesisthat
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theincreasingsizeofthefirmand the
proportion ofthedealsthattheycompletearepositivelyrelated. Smalland micro-firmscompleteless
dealsthan medium sized firms, who in turn complete less deals than larger firm.
Table5:ThePercentageofCompletedDealsbyFirmSize
Enterprisesizecompleted*micro93.93%small92.06%medium95.17%large96.35%Total95.93%
*SMEaveragestatisticallydifferentfromlargeenterprise
averageat0.05
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significancelevel(two-sidedttest)Table6investigates
therelationshipfurther,and presentstheresultsofalogisticmaximumlikelihood estimation, which usesa
dummyforcompleted mergersasthedependentvariable. Instead ofcoefficientswereporttheoddsratios
forabetterunderstandingoftheeconomiceffects.Fromtheresultswecan seethattherelationshipbetweenincreasingfirmsizeand theincreasinglikelihood ofawithdrawal
isrobust:each of
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thedisaggregatedsizecategories(micro, smalland medium)for
theacquiringfirm, aswellastheaggregated SMEvariable, aresignificantatthe1%
level. Theoddsratiosforallthreesizecategorydummiesareclearlybelow1, which indicates
thattheyarelesslikelyto completeamergerthan largefirms. Formicro firmsand smallfirms,theoddsofcompletingamergerare,respectively,0.195and0.162 timesthe
oddsofa
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largefirmto complete. Inotherwords, theoddsto withdraw
fromadealaremorethan 5 timesaslarge(1/0.195=5.13, 1/0.162=6.17)than theoddsfor
alargefirm. Formediumsized firms, theoddsofdealcompletion (0.336)areroughlytwotimes
higherthan formicro and smallfirms. Thisdealcompletion likelihood, however, isstillonlyaboutthird ofthatforlargefirms. ThesameistruefortheSMEdummyin Model3, which showsthecombined effect of the three individual size dummies.
Table6:
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Logisticmaximumlikelihoodestimation
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DependentLogitestimationModel1Model
2CompleteddealdummyModel3microenterprisesmallenterprisemediumenterprise
SMEacquirerprivatelyownedtargetprivatelyownedtargetfriendlytargetsize(logdeal
value)acquirerinU.S.trendvariable(year)paidincash(pct)paidinstock(pct)constantyeardummiesindustrydummiesP-Micro-SmallP-Small-MediumP-Micro-Medium1.117[0.193]
2.525***[9.062]20.830***
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[19.225]0.887***[-5.040]1.087[0.704]1.02[0.887]
1.001[0.414]0.987***[-9.725]0[-0.871]yy0.195***[-4.937]0.162***[-9.858]
0.336***[-8.590]1.322[0.505]2.657***[9.457]21.080***[19.195]0.787***[-9.453]1.065[0.522]1.036
[1.595]1[0.191]0.990***[-7.089]0[-1.562]yy0.59580.00010.09950.284***[-10.855]1.286[0.452]2.652***[9.488]21.188***[19.220]0.796***[-9.067]1.061[0.494]1.031
[1.372]1[0.233]
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0.990***[-7.460]0[-1.341]yyobservations
(N)171371713717137clusters(N)616661666166chisquare802.451
921.247905.81Nagelkerker20.1550.1790.176prob>chi2000
z-valuesinparenthesis;*p
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thatcomparesthecoefficientsofthemicro
andsmallenterprisedummies.Ifthenullhypothesisisrejected,thecoefficients
arenotequaltoeachother.P-Small-MediumandP-Micro-Mediumarecomputedanalogously.The
standarderrorsinallmodelsallowforcorrelationbetweenmergersbythesameacquirer.
Wealso testfordifferencesbetween theoddsratiosofthree
sizecategories.Table 6 reports the
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p-values of the nullhypothesis that the oddsratiosofthethreedummies
areequal(seeWald, 1940). Whilewefind nostatisticaldifferencebetween thedealcompletion likelihoodsof
microfirmsand smallfirms, theoddsratiosofboth sizecategoriesdifferata10%
and a0.01%confidencelevelfrommediumsized firms. Thecontrol
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variables, targetfirmsize, measured asthenaturallogarithm
ofthedealvalue, also hasastatisticallysignificantoddsratio belowone. Further, wefind thatthe
greaterthepercentageofstock offered in thedealthegreaterthelikelihood thatthedealwill
bewithdrawn. FollowingMoelleretal.,(2004), weinterpretanincreased likelihood ofwithdrawalto signalareduction in theproportion ofvalue-destruction, and so inferthatSMEM&As are less likely to bepursued for value-destroying reasons.
4.3. Hypothesis Two:On M&APopularityOursecond hypothesis
suggestthat, becauseSME
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M&Asaremorelikelyto bepursuedfor
value-increasing motives, SMEswillpursueexternalgrowth opportunitiesthrough mergers, and willengagein M&Aactivitywith thesame
ifnotgreater intensitythan largeenterprises.Wetestthisbylookingatthe
frequencyofdealsand thedealsize,normalised overtotalassets, numberofemployees, and totalsales. Table7presentstheresultsofresultsofunivariateresultsofourinvestigation.From
thisalreadywe
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canclearlyseethatSMEswhich mergeat
leastoncein theobserved period(i.e. enterthesample)relysignificantlymoreheavily on external growth than large firms in thesame
period.
Table7:M&AsamongstSMEs
Enterprisesizedealvalue/
employee*dealvalue/assets*dealvalue/sales*dealno./assets*micro5.686584.783107.1238small0.599197.19212.0041.28medium0.22630.41.0960.211
large0.1080.778
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0.2670.022Total0.21921.7842.270.209
*SMEaveragestatisticallydifferentfromlargeenterpriseaverageat
0.05significancelevel(two-sidedttest)Table8presentstheresultsofan OLSregression which further
exploresthisfinding, and employsanumberofdifferentmeasuresofmergerintensityasthedependentvariable. ForallmodelsweuseaBreusch-Pagan (1980)testto investigatewhetheror
notthedisturbances
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arenormallydistributed.AsTable8shows, the
correspondingp-valuesrejectthisnullhypothesis. Wethereforeuseheteroskedasticity-consistentestimators of variance in all models.
Table
8:M&AsamongstSMEs
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DependentOLSestimationModel1Model
2dealvalue/totalsalesModel3Model4dealvalue
/totalassetsModel5Model6dealvalue/employeesModel7
Model8dealfreq./totalassetsmicroenterprisesmallenterprisemediumenterpriseSMEacquirerprivatelyownedtargetprivatelyownedtargetfriendlyacquirerinU.S.
trendvariable(year)
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constantyeardummiesindustrydummiesP-Breusch-PaganP-Micro-Small
P-Small-MediumP-Micro-Medium107.088**[2.384]11.821**[2.136]0.663*[1.917]9.160***[3.075]-1.829-1.547
[-1.323][-1.149]0.5991.017[0.991][1.370]-1.446**-1.111**[-2.368][-1.998]0.6082.103[0.473]
[1.170]0.1650.348[0.562][1.181]-333.165-698.447[-0.569][-1.187]yyyy000.03430.05120.0175586.949**[2.214]195.274*[1.846]28.624**[2.463]95.406***
[3.422]-39.109**-32.702**
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[-2.226][-2.538]-15.536-12.763[-1.164][-0.971]4.65
6.687[0.547][0.731]-5.7571.242[-0.299][0.070]-1.165*-0.036[-1.960][-0.131]2314.894*
64.686[1.954][0.114]yyyy000.16990.11980.03515.571***
[4.290]0.508***[8.764]0.126***[6.031]0.521***[6.460]-0.115**-0.109**[-2.058][-2.424]-0.115***-0.095***[-3.318][-2.626]-0.199***-0.183***[-3.453][-3.168]0.0460.124**[0.828][2.187]0.0020.011***
[0.563][3.677]-3.512
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-21.620***[-0.501][-3.572]yyyy
000.0001007.953***[5.649]1.254***[4.147]0.194***[7.364]0.864***
[7.517]-0.079-0.048[-0.847][-0.550]0.0560.088**[1.564][2.237]-0.0120.013[-0.573][0.461]
0.0480.155***[1.029][2.846]-0.007*0.007*[-1.826][1.735]14.320*-13.072*[1.810][-1.735]yyyy0000.00030observations(N)1713717137
171371713717137
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171371713717137clusters(N)61666166
616661666166616661666166F2.9032.791.3311.50512.523
12.23310.037.902adjustedr20.0220.0020.0080.0020.0710.0110.0990.017
prob>F000.1250.0570000
t-valuesinparenthesis;*p
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(1980)test.Ifthenullhypothesisis
rejected,theregressiondisturbancesarenotnormallydistributedandheteroskedasticity-consistentestimatorsof
varianceareused.P-Micro-Smallisthep-valueinaWald(1940)testthat
comparesthecoefficientsofthemicroandsmallenterprisedummies.Ifthenullhypothesisisrejected,thecoefficientsarenotequaltoeachother.P-Small-Medium
andP-Micro-Mediumare
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computedanalogously.Thestandarderrorsinall
modelsallowforcorrelationbetweenmergersbythesameacquirer.
Thepositiveand statisticallysignificantcoefficientsofthesizedummiessupportourpreviousfinding that
SMEswhich mergeduring theobserved period relymoreheavilyon externalgrowth than largefirmsinallthreeofourmeasurements. Thisresultisrobust, whetherweidentifymicro, smallormediumsized firmsindependently
oraggregatethem
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asonecategory(SMEdummy).1When comparingthe
coefficientsofthesizedummies(seep-values)wefind thattheyareall
statisticallydifferentfrom
1Thelargecoefficientsofthemicrofirm
dummysuggestarobustnesscheckwhereweexcludeallmicrofirmsfromthesampleandre-estimatethemodelsinTable8.Theresultsdonot
changequalitatively.
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each other, with theexception ofModel3, wherewenormalize
dealvalues with total assets rather than total sales oremployee numbers.1
Table9:CashandStockasa
MeansofPayment
Enterprisesizecash*stock*other*micro18.06%53.05%
11.99%small25.97%44.45%13.76%medium31.63%37.61%11.58%large44.22%20.30%7.42%Total41.03%24.59%8.43%
*SMEaveragestatisticallydifferentfrom
largeenterpriseaverage
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at0.05significancelevel(two-sidedttest)Figure
1:Averagepercentofstockinconsiderationoveryearsandtypesof
enterprises.
4.4. Hypothesis Three:On MergerFinance and thePecking OrderFinally, and in lookingatourthird hypothesis,which suggests
thatSMEswillusemorestock and lesscash asmeansofpaymentthan largeenterprises, weconsiderwhetherSMEshaveahigher/lowerstock/cashpercentagein theirconsideration than largercompanies. Table9presents
the result of our investigation, again first on a univariatebasis.
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Fromthiswecan clearlyseethatthe
probabilitythatafirmpayswithstock decreasesquitesignificantlyasthesize
ofthefirmgrows, whiletheprobability that itpays with cash increases, without exception.
1Wecontrolforindustries
thatmaypointtowardslessstructuraldifferencesinexternalgrowthstrategiesofSMEsinmoreasset-intensivesectorslikemanufacturing.
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Table10:CashandStockas
aMeansofPayment
DependentOLSestimationModel1%
paidModel2instockModel3%paidModel4incash
Model5%paidModel6inothermicroenterprisesmallenterprisemediumenterpriseSMEacquirerprivatelyownedtargetprivatelyownedtargetfriendlytargetsize
(logdealvalue)
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acquirerinU.S.trendvariable(year)constant
yeardummiesindustrydummiesP-Breusch-PaganP-Micro-SmallP-Small-MediumP-Micro-Medium46.445***[13.668]34.548***[19.774]
21.831***[20.380]-12.118***[-3.878]7.704***[11.124]0.484[0.182]4.888***[24.697]5.275***[6.741]-2.083***
[-13.271]4155.712***[13.220]yy00.00120025.600***[26.180]-11.631***[-3.765]7.682***[11.064]0.302[0.113]4.718***[23.808]5.716***[7.260]-2.015***[-12.788]4022.857***[12.742]
yy0
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-30.319***[-11.895]-21.432***[-13.172]-12.770***[-11.931]-12.061***
[-2.787]-7.736***[-9.580]-1.798[-0.599]-1.406***[-6.436]-5.384***[-5.136]1.877***[10.390]-3697.257***
[-10.229]yy00.001200-15.378***[-15.525]-12.390***[-2.894]-7.720***[-9.554]
-1.671[-0.554]-1.287***[-5.926]-5.698***[-5.451]1.830***[10.100]-3604.009***[-9.941]yy06.252***[3.242]6.713***[6.083]4.298***[7.399]-4.721***[-3.025]4.293***[12.440]1.522[1.367]
0.775***[8.579]-5.955***
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[-10.443]-0.107[-1.464]219.446[1.503]yy
00.050.4250.984.873***[9.121]-4.620***[-2.947]4.291***[12.427]1.498[1.346]
0.754***[8.329]-5.923***[-10.397]-0.099[-1.351]203.778[1.391]yy0observations(N)
171371713717137171371713717137clusters(N)616661666166616661666166F81.96284.19242.11543.16115.24316.309adjustedr20.1750.168
0.0780.0760.042
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0.042prob>F000
000
t-valuesinparenthesis;*p
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thecoefficientsofthemicroandsmall
enterprisedummies.Ifthenullhypothesisisrejected,thecoefficientsarenot
equaltoeachother.P-Small-MediumandP-Micro-Mediumarecomputedanalogously.Thestandarderrors
inallmodelsallowforcorrelationbetweenmergersbythesameacquirer.
Figure1 showshowthisdevelopedovertime. Fromitwecansee
that
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stock paymentsdecreased in relativeimportanceduring thecourseofthe
lastmergerwave whenthecostofcreditwasat
historicallows butthat
theorderofpreferenceforstock in SMEand large
firmM&Asholds
constantin almostallyears. Micro firmsusethemoststock intheir
dealings, small less than that, medium even less, and large firms the least.
To ensuretherobustnessofthisconclusion, and beforewe
acceptour
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hypothesison thesourceand natureofSME
M&Afinancing, weconduct
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OLSregressionsusingpercentageofstock, cash and other
meansofpayment e.g.acquirerdebtdirectlyissued to targetshareholders. Table10 presents the results, and provides clear support for Hypothesis 3.
Assuggested bythep-valuesoftheBreusch-Pagan (1980)test, weuseheteroskedasticity-consistentestimatorsofvariance
in allmodels.Wealsotestwhetherthecoefficientsofthesizedummiesareequalandrejectthisnullhypothesisin allcasesbuttwo (differencesto mediumsized firms
inModel5). In other
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words, wedo notfind adifferencebetween mediumsized firmsand other
SMEsizecategorieswhenwelook atpaymentsthatareneithercash norstock. Although interesting
asan additionalinsight,thisresultdoesnotweaken thesupportforHypothesis3. Firstly,Hypothesis
3predictsdifferencesbetween SMEsand largefirms, notwithin SMEs. Secondly,when wefocusontheuseofstockandcashaspreferredmethodsofpaymentwefind highlysignificantdifferences
between all size groups:micro, small, medium, and large (Models 1-4).
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5.ConclusionsInthispaperwenoted that
theexistingM&Aliteratureisdominatedbytheanalysisoflargerfirms
makinglargedeals, and suggested thatSMEsmaydifferfromtheseintheiracquisition behaviour. Wepresented directand indirect
evidenceto illustratethispoint, and showed thattheconductand financialsuccessofmergers, byentrepreneurialfirms, isindeedsignificantlydifferentto largepublicfirms. To accountforthis, weconsidered theapplicabilityofthedominant
motivatingtheories the
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theoriesofefficiency, marketpowerand corporatecontrol, managerialhubris, discretion, and entrenchments, Q-theory, raider
theoryand empirebuilding aswellasthepecking-ordertheoryofmergerfinance. We
madeanumberofmodificationsto thetheoryofmergersand acquisitions,byadaptingand translating
theliteratureon largeM&Asto thespecialsituation of SMEs. In theprocess we came to a number of conclusions:
(1)ThereareproportionallymoreSMEM&Asin Europethan in theUS. Ourresultsshowthatabout30%
ofWestern European M&Awere
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bySMEs. AsmuchoftheEuropean mergerregulation focuses
on largeM&As, ourfindingsindicateapossibleneed formoredifferentiatedpolicies with respect to SMEs M&As.(2)Smaller
firmsaremorelikelyto withdrawfromM&Aagreement,and seemto bemoreflexiblein walking
awayfromvalue-destroyingmergers.Ourresultssupporttheconclusion thatlargerfirmsperformlesswellin M&As, and thesuggestion thatthelargelossesmadebythe
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fewmayblotoutthesmall
successesmadethemany, when analysed inaverage terms.
(3)Mergertheoryneedsto bemodified for
SMEM&As.Ourresultsindicatethatagencycostsaresignificantlyreduced forSMEs, and thatboundedly
rationalvalue-destroyingactionsarelesslikelyto beseenthrough to theirconclusion. Accordingly, wesuggestthatmergertheory needs to be updated for the special case ofSME M&A.(4)M&Asareamorepopulargrowth strategyforSMEs. Ourresults
showthatM&As
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arepopularoptionsforSMEs, and even moreso thanfor
largefirms. Thisagain stressestheimportanceofmoredifferentiated M&Apolicies.(5)Smallerfirms
financeM&Aprimarilywith stock. Ourresultsshowthatthepeckingorderhypothesisonlypartially
appliesto SMEs, andthat this too needs to be updated for the special case of SMEs.In doingso, thispaperprovidesboth directand indirectevidence,which suggeststhatsmallfirmsbehaveand performdifferentlyin theirmergersand acquisitions. Ourpaperthuscontributesto abetter
understandingofSME
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M&Asand whytheseareso differentto thelarge
public acquirers typically studied within the wider literature.
Datalimitationsloomlargein thestudyofSMEM&As, howeverand
wesuggestthatmuch work stillneedsto bedoneto betterunderstandthese special firms. Clearly subject definitions need to beagreed upon, andan exploration ofappropriate
performancemeasures orproxies forSME M&As would make a valuable contribution to the literature.
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