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)
246
developing unified database collecting the
information regarding the issued certificates of
competency by EU member states. While this data
systemis not launchedit is difficultto predict what
willbethepossibilitiesofsuchasystem.Theproblem
with the data is clearly stated in Study on EU
seafarers’
employment‐itis clear that detailed data
on maritime employment is scarce, sometimes
outdated and often not reliable. Moreover, the great
differences from a country to another are in data
collection and presentation of results prevent all
serious analysis on employment structure and
evolution(EC,2011b).
This article shows the
experience of the Seamen
RegistryofMaritimeAdministrationofLatvia(MAL)
inanalysisofparameters(number,age,qualification)
andprocesses (inflow,outflow)ofLatvianSeafarers’
pool as the basic factors for modelling seafarers
supply. The article discusses the pool of certified
seafarers with regard to number, qualification, age
groupandshows
theinflowandoutflowparameters
fordeckandengineofficers.Asthegeneralworkers
on board are represented by ratings, who are
relatively unskilled and have less training than the
officers, therefor trainee officers or cadets provide a
necessarynewinputintotheindustry.(Glen,2008)
2 DATABASEOFLATVIAN
SEAMENREGISTRY
Informationis the ba sisof any analysis The Seamen
Registry of Maritime Administration of Latvia uses
informationfromthedatabaseoftheLatvianSeamen
Registrytoanalyseprocessesandparametersofpool
of seafarers.The main aim of the database of the
Latvian Seamen Registry is to serve for
seafarers’
certification purposes according to national and
STCW requirements. The database contains
informationnotonlyabouttheissuedcertificatesbut
also about the employment, education, training and
seamendischargebook.Seetable1.
Table1.Dataareas,sourcesandmaininformationfieldsof
databaseofLatvianSeamenRegistry(MAL2014)
_______________________________________________
Dataarea Maindataprovider Mainfields
_______________________________________________
Personaldata SeafarerBirthdate,placeof
living,nationality
Certificatesof Issuingorganization,STCWreference,
competenceseafarervalidityof
andotherendorsement
qualification
documents
Education EducationinstitutionNameofprogramme,
qualification,STCW
reference,graduation
year
TrainingTrainingorganizationTrainingcourse,STCW
reference,validityof
course,coursedate
Employment
Nationalcrewing Shipname,flag,
agenciesemployment,period,
capacityonboard
_______________________________________________
Thedatabaseisbasedontheseafarerasdataunit
andrelatedrecordsofindividualperson.Eachperson
in database has his/her own information blocks,
where records regarding to his education, training,
andemploymentcertificatescanbefound.Maindata
providers are the Seamen Registry, seafarers,
companiesandtraining
centres.
3 THEORETHICALCONCEPTOFSEAFARERS’
POOLMODELING
Conceptof“shortageofseafarers”islinkedwithtwo
estimated figures and means difference between
figures of supply of seafarers and demand of
seafarers.Numberofships,size,typeandmanning
requirementonthemservesasbasisforcalculationof
demand figures. The
information mostly is collected
from various sources such as administrations,
questionnairesorindustryrepresentativesforsupply
figures(Glen,2008;Li&Wonham,1999).
The supply /demand analysis is described by
WaalsandVeenstraintheirarticle“AForecastmodel
and benchmarking of the supply and demand of
maritime officers” (Waals,
2002). The methodology
for modelling Latvian seafarers’ supply in future is
developed on the basis of Waals’ and other
researchers’worksinthisfield.
ThedemandforLatvianseafarersisnotanalysed
in this article as Latvia should be considered as
seafarers’supplyingcountry(EC,2011a)andmostof
the Latvian
seafarers are employed under foreign
flagsonshipsownedbyforeignshipowners.In2013
only6%of seafarerswere employed on ships under
Latvian flag according to data analysis from the
database of the Latvian Seamen Registry. Therefore,
nationaldemandforseafarersislimitedanddemand
isdrivenbyinternational
fleetdevelopment.
Asanylabourmodel,theseafarers’poolmodelis
stockmodelwherethepresentconditiondependson
inflowandoutflowprocesses.
Figure1.Simpleconceptofseafarers’pool(authors)
Althoughseafarercanbeconsideredasanyperson
working on board this article focuses on qualified
seafarers–personsholdingdocumentofqualification
issued by the Latvian Seamen Registry.STCW
reference in this article is used to indicate qualified
seafarer holding qualification document containing
reference to STCW Convention. Therefore, active
seafarers
in context of this article are persons who
hold valid documents of qualifications and are
available for shipboard employment.It is not
possibletousedatafromdatabasetodeterminethose
whoarenotseekingtoworkonboardshiporinactive
seafarers (Glen, 2008) as the data reflects facts
not
decisions. Considering qualification as the basis of
determination of number of active seafarers
additionalattentionispaidtotheofficers’poolinflow