This HTML5 document contains 47 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
dctermshttp://purl.org/dc/terms/
n14http://localhost/temp/predkladatel/
n11http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n8http://linked.opendata.cz/ontology/domain/vavai/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n6http://bibframe.org/vocab/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
n13http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F00216208%3A11230%2F14%3A10283075%21RIV15-MSM-11230___/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n5http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n10http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n18http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n16http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n17http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n4http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n15http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F00216208%3A11230%2F14%3A10283075%21RIV15-MSM-11230___
rdf:type
n8:Vysledek skos:Concept
dcterms:description
The main objective of this paper is to elaborate econometric model forecasting the stocks of migrants from the Eastern European states (EES) in the Visegrad group (V4) countries and the European Union Member States (EU MS) in case of visa abolition. We use the data span of 2008-2012 and the econometric techniques known as Seemingly Unrelated Regression (SUR), Panel data Least Squares (PLS) and General method of moments (GMM) to build three types of possible scenarios for migration from the Eastern European countries (Belarus, Moldova and Ukraine) to the V4 and to the EU as a whole in the next 35 years, i.e. until the year of 2050 with a simulated shock of visa abolition set at the year of 2015. Our results show that hypothetical visa abolition is not going to dramatically increase migration from the Eastern European countries in the EU Member States. Even though the immediate effect of visa abolition would probably result in the slight increase of migration stocks in the V4 and EU countries, the annual migration stocks comprised of residents of Belarus, Moldova and Ukraine in the EU MS in a long term might be around from one and a half to just above three - three and a half million people. Furthermore, a successful accession period with high growth and implementation of the reforms is actually leading to elimination of the migration pressures. More precisely, the citizens of Belarus, Moldova and Ukraine that had the strongest incentives to migrate have already done so long before the visas are eventually abolished The main objective of this paper is to elaborate econometric model forecasting the stocks of migrants from the Eastern European states (EES) in the Visegrad group (V4) countries and the European Union Member States (EU MS) in case of visa abolition. We use the data span of 2008-2012 and the econometric techniques known as Seemingly Unrelated Regression (SUR), Panel data Least Squares (PLS) and General method of moments (GMM) to build three types of possible scenarios for migration from the Eastern European countries (Belarus, Moldova and Ukraine) to the V4 and to the EU as a whole in the next 35 years, i.e. until the year of 2050 with a simulated shock of visa abolition set at the year of 2015. Our results show that hypothetical visa abolition is not going to dramatically increase migration from the Eastern European countries in the EU Member States. Even though the immediate effect of visa abolition would probably result in the slight increase of migration stocks in the V4 and EU countries, the annual migration stocks comprised of residents of Belarus, Moldova and Ukraine in the EU MS in a long term might be around from one and a half to just above three - three and a half million people. Furthermore, a successful accession period with high growth and implementation of the reforms is actually leading to elimination of the migration pressures. More precisely, the citizens of Belarus, Moldova and Ukraine that had the strongest incentives to migrate have already done so long before the visas are eventually abolished
dcterms:title
Migration incentives and flows between Belarus, Moldova, Ukraine and the European Union: a forecasting model Migration incentives and flows between Belarus, Moldova, Ukraine and the European Union: a forecasting model
skos:prefLabel
Migration incentives and flows between Belarus, Moldova, Ukraine and the European Union: a forecasting model Migration incentives and flows between Belarus, Moldova, Ukraine and the European Union: a forecasting model
skos:notation
RIV/00216208:11230/14:10283075!RIV15-MSM-11230___
n3:aktivita
n18:I
n3:aktivity
I
n3:cisloPeriodika
4
n3:dodaniDat
n15:2015
n3:domaciTvurceVysledku
n11:9005404
n3:druhVysledku
n4:J
n3:duvernostUdaju
n10:S
n3:entitaPredkladatele
n13:predkladatel
n3:idSjednocenehoVysledku
29315
n3:idVysledku
RIV/00216208:11230/14:10283075
n3:jazykVysledku
n16:eng
n3:klicovaSlova
model; forecasting; Union; European; Ukraine; Moldova; Belarus; between; flows; incentives; Migration
n3:klicoveSlovo
n5:forecasting n5:Moldova n5:Migration n5:European n5:Belarus n5:between n5:incentives n5:Union n5:flows n5:model n5:Ukraine
n3:kodStatuVydavatele
UA - Ukrajina
n3:kontrolniKodProRIV
[DB0FB418E3C3]
n3:nazevZdroje
Economics and Sociology
n3:obor
n17:AH
n3:pocetDomacichTvurcuVysledku
1
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n15:2014
n3:svazekPeriodika
7
n3:tvurceVysledku
Čajka, Peter Jaroszewicz, Marta Strielkowski, Wadim
s:issn
2071-789X
s:numberOfPages
15
n6:doi
10.14254/2071-789X.2014/7-4/1
n14:organizacniJednotka
11230