Peters, Linda, et al. “Explaining Refugee Flows. Understanding the 2015 European Refugee Crisis through a Real Options Lens.” PloS One, U.S. National Library of Medicine, 20 Apr. 2023, www.ncbi.nlm.nih.gov/pmc/articles/PMC10118136/.
The authors focus on the case of Syrian refugees in order to show the complexities involved in the route selection and the factors involved in this decision. This study provides a comprehensive examination of the topic and suggests different implications for policy makers in managing refugee flow. However, it also showcases limitations such as holes in data availability and the applicability of the data and methods to specific refugee populations, providing steps for further research.
The European Refugee Crisis and Public Support for The …, ejpr.onlinelibrary.wiley.com/doi/10.1111/1475-6765.12565. Accessed 3 Apr. 2024.
The authors focus on the EU-Turkey migration deal and provides valuable insight into the public attitudes towards multi-country cooperation on refugee protection and migration patterns. The study provides an understanding of the publics preferences and the factors that shape them by looking at Germany, Greece, and Turkey. This study enriches public opinion data and finds that the publics opinion is multifaceted and must include moral, reciprocity, and instrumental considerations.
“Understanding Germany’s Response to the 2015 Refugee Crisis.” Review of Economics and Political Science, www.emerald.com/insight/content/doi/10.1108/REPS-03-2019-0024/full/html. Accessed 3 Apr. 2024.
The study explores the discrepancies between the initial response of Germany to the 2015 migration crisis and the following adoption of asylum policy. The authors look at different external obligations and corresponding internal influences, primarily the role of the media. This study contributes to existing literature by examining the discourse surrounding media and asylum legislation and offers insight into the policy-making processes in response to the refugee crises.
Did Merkel’s 2015 Decision Attract More Migration to Germany?, ejpr.onlinelibrary.wiley.com/doi/10.1111/1475-6765.12669?af=R. Accessed 3 Apr. 2024.
This study examines the long-term impact of Merkel’s asylum seeker policy in 2015. By using a cross-validation strategy across numerous data sources, the authors provides robust evidence that challenges the previous “pull effect” hypothesis. They highlight the significance of factors such as conflict, economic conditions, and labor and how they drive migration patterns, and, how this shows the limitations in the “pull effect” hypothesis. Overall, this research contributes to the debate surrounding migration policies and their implications.
Futák-Campbell, Beatrix, and Mira Pütz. 2022. “From the ‘Open Door’ Policy to the EU-Turkey Deal: Media Framings of German Policy Changes during the EU Refugee ‘Crisis.’” International relations 36(1). 61–82.
This article looks at how the European media influences the public perception of immigration.
While the primary focus is on media influence on public opinion rather than policy decisions, the resulting insights can help shape policies in the framework of public opinion. The article provides empirical evidence and theoretical insights that contribute to the understanding of media’s influence on public opinion, which is crucial for comprehending the dynamics of policy making in the context of Merkel’s refugee policy.
Zaun, Natascha, and Ariadna Ripoll Servent. 2021. “One Step Forward, Two Steps Back: The Ambiguous Role of Germany in EU Asylum Policies.” Journal of European integration 43(2). 157–74.
Zaun and Servent look into the German role in shaping EU asylum policies. The authors argue that Germany’s involvement can be characterized by ambiguity rather than clear leadership, as Germany’s actions have been inconsistent. By using the Core State Power framework, they analyze the motivations behind Germany’s stance on specific policies and the interplay between elites, mass public opinion, and political parties. This article contributes to a deeper understanding of the dynamics in EU asylum policies and the challenge of collective decision-making.
Kinkartz, Sabine. 2022. “Germany: What Poverty Looks like in a Rich Country.” Deutsche Welle. https://www.dw.com/en/germany-what-poverty-looks-like-in-a-rich-country/a-63393501 (February 13, 2023).
Kinkartz looks at the realities of poverty in a wealthy nation and emphasizes the increased visibility of poverty in Germany. He discusses the concept of relative poverty, in contrast with absolute poverty. The article looks at the limitations of Germany’s social safety net, including criticisms of welfare programs such as Hartz IV. It also looks at the impact of inflation and rising living costs across Germany.
Carter, Abi. 2022. “Poverty Rate in Germany Reaches New Heights.” IamExpat. https://www.iamexpat.de/expat-info/german-expat-news/poverty-rate-germany-reaches-new-heights (February 13, 2023).
The study highlights the escalating poverty levels in Germany, having a record high poverty rate of 16.6% in 2021. Poverty has worsened over the past years because of the economic impacts of Covid-19 and the increasing inflation rates. The author shows the disproportionate impact on specific demographics such as workers, pensioners, and children, underscoring regional disparities across federal states. They urge government action to raise basic subsistence rates, housing benefits, and improving student loans.
Anderson, L.R., et al. “Poverty Dynamics in Germany: Evidence on the Relationship between Persistent Poverty and Health Behavior.” Social Science & Medicine, Pergamon, 29 Jan. 2016, www.sciencedirect.com/science/article/abs/pii/S0277953616300417.
The study examines the relationship between income poverty and healthcare, using data from the German Socio-Economic Panel from 2000-2010. It looks at the impact of poverty of diet, tobacco consumption, and physical activity and emphasizes the multifaceted nature of poverty as a multidimensional concept. The study employs cross-sectional logistic regression models and fixed-effects models to investigate these relations, aiming to provide insights into how prolonged economic deprivation influences lifestyle choices and health behaviors.
Gereke, Johanna, et al. “Ethnic Diversity, Poverty and Social Trust in Germany: Evidence from a Behavioral Measure of Trust.” PLOS ONE, Public Library of Science, journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0199834. Accessed 3 Apr. 2024.
The study contributes to the ongoing debate on the relationship between ethnic diversity and social trust. It investigates the link between ethnic diversity, particularly immigrants in neighborhoods, and social trust while considering the impact of poverty. Secondly, the study employs a behavioral measure of trust, distinct from the attitudinal measure and incorporates contextual measures of ethnic composition and poverty at the zip code level. Findings indicate that household poverty partially explains lower levels of trust. The study also reveals that after controlling for income, both German and non-German respondents show similar level of trust. However, neighborhoods with large immigrant populations show decreased levels of social trust.
datasets:
“Germany .” World Bank Open Data, data.worldbank.org/country/germany. Accessed 3 Apr. 2024.
This source provides a statistical overview on various indicators across themes such as social, economic, institutional and environmental aspects of Germany. It includes data on poverty headcount ratio, life expectancy, GDP, unemployment, CO2 emissions, and more.
“Federal Statistical Office Germany – Genesis-Online.” GENESIS, 3 Apr. 2024, www-genesis.destatis.de/genesis/online?sequenz=statistikTabellen&selectionname=12521&language=en#abreadcrumb.
This source provides data on the amount of foreigners in each administrative district across years.
“Statistisches Bundesamt Deutschland – Genesis-Online.” GENESIS, 3 Apr. 2024, www-genesis.destatis.de/genesis//online?operation=table&code=31231-0023&bypass=true&levelindex=0&levelid=1712178089712#abreadcrumb.
This source provides data on the amount of individuals facing homelessness in each administrative district.
“Home.” Humanitarian Data Exchange, data.humdata.org/dataset/world-bank-poverty-indicators-for-germany. Accessed 3 Apr. 2024.
This source provides data on the poverty indicators of Germany
“Poverty Gap at $2.15 a Day (2017 PPP) (%) – Germany.” World Bank Open Data, data.worldbank.org/indicator/SI.POV.GAPS?locations=DE. Accessed 3 Apr. 2024.
This source provides data on the poverty gap at $2.15 a day (2017 PPP) (%) in Germany.
Homelessness in Germany, www.feantsa.org/download/germany-20174561023180755814062.pdf. Accessed 3 Apr. 2024.
This source provides data on the level of homelessness in Germany and the national strategies.
Alemdar, Melis. “263,000 People Homeless in Germany – Govt Report.” TRT World – Breaking News, Live Coverage, Opinions and Videos, TRT WORLD, 10 Dec. 2022, www.trtworld.com/europe/263-000-people-homeless-in-germany-govt-report-63397.
This government report provides data on the homeless population of Germany.
“Net Migration – Germany.” World Bank Open Data, data.worldbank.org/indicator/SM.POP.NETM?locations=DE. Accessed 3 Apr. 2024.
This source provides data on the net migration levels of Germany.
“Global Migration Data Portal Launched in German.” Global Migration Data Analysis Centre, gmdac.iom.int/news/global-migration-data-portal-launched-german. Accessed 3 Apr. 2024.
This source provides a global migration data portal.
“The Migration Reports.” BAMF, 29 June 2023, www.bamf.de/EN/Themen/Forschung/Veroeffentlichungen/Migrationsberichte/migrationsberichte-node.html.
This source provides migration reports for Germany.
Much of this is good, at least with regards to the secondary sources – clear and descriptive language about what the sources are and how they will be used. Much less for the data sets. I know you have a clear idea of the attribute table your trying to build, but you need to indicate that information here as well. Your next step is to complete your table, likely in QGIS. Once you do that, it will be relatively simple to export that to ArcGIS into web maps, and if you choose (which seems likely) into a storymap. Your secondary sources indicate you have a hypothesis about policy influencing immigration? Make sure that is clear in for stage 4. keep it up!