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18
Introduction
particularaspartofresearchprojectsnancedbytheNationalScienceCentreand
analysescommissionedbytheMinistryofEconomy.
Factorssuchastheavailabilityofdataduetotheselectedsource,theirdegreeof
detailaswellasthecomplexityoftheexaminationlimitedthepossibilitytoquickly
updatethestudyresults,thereforetheyafectedthedeterminationofthetimeseries
fortheanalysis.MostdatawereretrievedfromtheEasyComextdatabaseon13Feb-
ruary2017.BearinginmindthedataupdatingrulesintheEurostatdatabase,the
scopeofavailabledatacoveredtheperiodfrom2004to2015.Tattimeserieswas
adoptedasthebasisfortheempiricalanalysis,theresultsofwhicharepresented
inChapters3,4and5.
TestudydividedtheEUMemberStatesintothefollowinggroups:[1]thenew
EU-10(theCzechRepublic,Latvia,Poland,Hungary,Slovakia,Slovenia,Romania,
Estonia,Lithuania,Bulgaria)1;[2]theEU-15(Germany,France,Belgium,Austria,
theNetherlands,theUnitedKingdom,Spain,Italy,Denmark,Portugal,Sweden,
Ireland,Finland,Luxembourg,Greece);[3]theEU-28-alltheMemberStatesof
theEUin2015,i.e.theEU-15,theEU-10,Cyprus,MaltaandCroatia.Inorderto
ensurepropertransparencyoftheanalysisandthecomparabilityofthecalculation
results,thestudyisbasedonacertainsimplification.Teyear2004wasadoptedas
theinitialyearoftheanalysisforalloftheEU-10,eventhoughRomaniaandBul-
gariajoinedtheSEMafertheirformalaccessionin2007.
Datagrouping,analysisandpresentationbasedonthemaincategoriesofthe
SITCareawayforaclearanalysisofthemainbranchesoftheeconomywithin
whichtheIITexchangetakesplace.Teauthor’spreviousexperienceinanalysing
andpublishingtheresultsofresearchonIITwasfocusedonworkingwiththeCN
classification.Here,however,wehaveasmanyas21sectionsoftheCN.Incom-
parisonwiththesixmajorcategoriesoftheSITC,itistoomuchtoclearlyillus-
tratestructuralchangeswithintheIITexchangeforsuchawiderangeofnational
economies(EU-10vs.EU-15).TesourcedatafromtheEUROSTATwasbased
onsixdigitcodes(CN6).Teiraggregation,inaccordancewiththemethodology
ofcalculatingIITuptothelevelof6mainSITCcategories,wasimplementedby
applyingtheUNTradeStatisticscorrespondencetables(https://unstats.un.org/unsd/
trade/classications/correspondence-tables.asp).Tenalandintermediategoods
havebeenclassifiedbythefollowingmethodology:BECIntermediateGoodsin
TradeStatistics(https://unstats.un.org/unsd/tradekb/Knowledgebase/50090/Inter-
mediate-Goods-in-Trade-Statistics).
Tedistinctionintheanalysisoffourgroupsofproductsaccordingtothelevel
oftechnologicaladvancement(Rawlab,LowTech,MidTech,HightTech)allowedto
1TeanalysisexcludesMaltaandCyprus;althoughtheyjoinedtheEUin2004,duetofactorssuch
asthesizeandnatureoftheireconomiesaswellasthegeographicaldistancetotheEU-10thosecoun-
triestendtobelefoutofsimilarinvestigations(cf.Kawecka-Wyrzykowska,Ambroziak,Molendowski,
Polan2017).