Migration and Asylum Flows to Germany: New Insights Into the Motives

Detalhes bibliográficos
Autor(a) principal: Nowak-Lehmann, Felicitas
Data de Publicação: 2021
Outros Autores: Cardozo, Adriana, Martínez-Zarzoso, Inmaculada
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://doi.org/10.17645/pag.v9i4.4377
Resumo: This study analyzes the determinants of both total migration and asylum migration to Germany. For the analysis, a comprehensive empirical model is set up that includes climate change, economic opportunities, such as per capita income differentials, links to Germany, home country characteristics (population growth, poverty, consumer confidence, unemployment), the political and institutional situation in the sending countries (measured by internal and external conflict, ethnic and religious tensions, government stability, law and order, military in politics), and a control for migration opportunities to alternative destinations. Panel data techniques (Poisson pseudo-maximum likelihood) for the estimation of the parameters of interest are employed using a panel of 115 (134) origin countries for asylum migration (total migration) over the period of 1996–2017 or 2001–2017, depending on data availability. The analysis reveals that political, socioeconomic, and economic factors determine both total migration and asylum migration. Economic factors are also determinants of asylum applications, as asylum seekers most often come for several reasons. Poverty plays a distinct role in total migration and asylum migration. An alleviation of poverty in origin countries is associated with less overall migration to Germany but with more asylum migration. Increases in average temperature also impact asylum migration in the expected direction, thus, increasing forced migration. The most interesting findings are revealed when considering country groupings (main migration countries, major asylum countries, countries whose asylum applicants enjoy high, intermediate, or low recognition rates).
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spelling Migration and Asylum Flows to Germany: New Insights Into the Motivesasylum flows; Germany; migration; migration motives; Poisson pseudo maximum likelihood estimationThis study analyzes the determinants of both total migration and asylum migration to Germany. For the analysis, a comprehensive empirical model is set up that includes climate change, economic opportunities, such as per capita income differentials, links to Germany, home country characteristics (population growth, poverty, consumer confidence, unemployment), the political and institutional situation in the sending countries (measured by internal and external conflict, ethnic and religious tensions, government stability, law and order, military in politics), and a control for migration opportunities to alternative destinations. Panel data techniques (Poisson pseudo-maximum likelihood) for the estimation of the parameters of interest are employed using a panel of 115 (134) origin countries for asylum migration (total migration) over the period of 1996–2017 or 2001–2017, depending on data availability. The analysis reveals that political, socioeconomic, and economic factors determine both total migration and asylum migration. Economic factors are also determinants of asylum applications, as asylum seekers most often come for several reasons. Poverty plays a distinct role in total migration and asylum migration. An alleviation of poverty in origin countries is associated with less overall migration to Germany but with more asylum migration. Increases in average temperature also impact asylum migration in the expected direction, thus, increasing forced migration. The most interesting findings are revealed when considering country groupings (main migration countries, major asylum countries, countries whose asylum applicants enjoy high, intermediate, or low recognition rates).Cogitatio2021-10-28info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://doi.org/10.17645/pag.v9i4.4377oai:ojs.cogitatiopress.com:article/4377Politics and Governance; Vol 9, No 4 (2021): Migration and Refugee Flows: New Insights; 210-2232183-2463reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAPenghttps://www.cogitatiopress.com/politicsandgovernance/article/view/4377https://doi.org/10.17645/pag.v9i4.4377https://www.cogitatiopress.com/politicsandgovernance/article/view/4377/4377https://www.cogitatiopress.com/politicsandgovernance/article/downloadSuppFile/4377/2025Copyright (c) 2021 Felicitas Nowak-Lehmann, Adriana Cardozo, Inmaculada Martínez-Zarzosohttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessNowak-Lehmann, FelicitasCardozo, AdrianaMartínez-Zarzoso, Inmaculada2022-12-22T15:16:25Zoai:ojs.cogitatiopress.com:article/4377Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:22:22.122669Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Migration and Asylum Flows to Germany: New Insights Into the Motives
title Migration and Asylum Flows to Germany: New Insights Into the Motives
spellingShingle Migration and Asylum Flows to Germany: New Insights Into the Motives
Nowak-Lehmann, Felicitas
asylum flows; Germany; migration; migration motives; Poisson pseudo maximum likelihood estimation
title_short Migration and Asylum Flows to Germany: New Insights Into the Motives
title_full Migration and Asylum Flows to Germany: New Insights Into the Motives
title_fullStr Migration and Asylum Flows to Germany: New Insights Into the Motives
title_full_unstemmed Migration and Asylum Flows to Germany: New Insights Into the Motives
title_sort Migration and Asylum Flows to Germany: New Insights Into the Motives
author Nowak-Lehmann, Felicitas
author_facet Nowak-Lehmann, Felicitas
Cardozo, Adriana
Martínez-Zarzoso, Inmaculada
author_role author
author2 Cardozo, Adriana
Martínez-Zarzoso, Inmaculada
author2_role author
author
dc.contributor.author.fl_str_mv Nowak-Lehmann, Felicitas
Cardozo, Adriana
Martínez-Zarzoso, Inmaculada
dc.subject.por.fl_str_mv asylum flows; Germany; migration; migration motives; Poisson pseudo maximum likelihood estimation
topic asylum flows; Germany; migration; migration motives; Poisson pseudo maximum likelihood estimation
description This study analyzes the determinants of both total migration and asylum migration to Germany. For the analysis, a comprehensive empirical model is set up that includes climate change, economic opportunities, such as per capita income differentials, links to Germany, home country characteristics (population growth, poverty, consumer confidence, unemployment), the political and institutional situation in the sending countries (measured by internal and external conflict, ethnic and religious tensions, government stability, law and order, military in politics), and a control for migration opportunities to alternative destinations. Panel data techniques (Poisson pseudo-maximum likelihood) for the estimation of the parameters of interest are employed using a panel of 115 (134) origin countries for asylum migration (total migration) over the period of 1996–2017 or 2001–2017, depending on data availability. The analysis reveals that political, socioeconomic, and economic factors determine both total migration and asylum migration. Economic factors are also determinants of asylum applications, as asylum seekers most often come for several reasons. Poverty plays a distinct role in total migration and asylum migration. An alleviation of poverty in origin countries is associated with less overall migration to Germany but with more asylum migration. Increases in average temperature also impact asylum migration in the expected direction, thus, increasing forced migration. The most interesting findings are revealed when considering country groupings (main migration countries, major asylum countries, countries whose asylum applicants enjoy high, intermediate, or low recognition rates).
publishDate 2021
dc.date.none.fl_str_mv 2021-10-28
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv https://doi.org/10.17645/pag.v9i4.4377
oai:ojs.cogitatiopress.com:article/4377
url https://doi.org/10.17645/pag.v9i4.4377
identifier_str_mv oai:ojs.cogitatiopress.com:article/4377
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://www.cogitatiopress.com/politicsandgovernance/article/view/4377
https://doi.org/10.17645/pag.v9i4.4377
https://www.cogitatiopress.com/politicsandgovernance/article/view/4377/4377
https://www.cogitatiopress.com/politicsandgovernance/article/downloadSuppFile/4377/2025
dc.rights.driver.fl_str_mv Copyright (c) 2021 Felicitas Nowak-Lehmann, Adriana Cardozo, Inmaculada Martínez-Zarzoso
http://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Felicitas Nowak-Lehmann, Adriana Cardozo, Inmaculada Martínez-Zarzoso
http://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Cogitatio
publisher.none.fl_str_mv Cogitatio
dc.source.none.fl_str_mv Politics and Governance; Vol 9, No 4 (2021): Migration and Refugee Flows: New Insights; 210-223
2183-2463
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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