Abstract
Over the past 7 years, the needs of the three and a half million Syrian refugees have shifted from emergency response to programs focused on their integration. Using D4R call detail records (CDRs), this chapter focuses on questions derived from the relevant academic literature and explores whether and how local context and service provision affect refugee integration. Unlike existing studies, we address multiple factors in a single analysis, accounting for potential confoundedness between different factors that might otherwise bias results. Our analysis supplements D4R with an array of original data sources related to refugee integration and service provision and employs linear regression and regularization techniques. We find that social integration is affected by multiple socioeconomic, welfare, and geography-related factors such as economic activity, availability of health facilities and charity foundations, network centrality, and district location. In terms of mobility, long-term over-time movement of refugees appears to be motivated by the availability of scarce welfare resources such as health clinics, as well as economic activity and the availability of religious facilities in a district. Our results suggest that policy-makers concerned with social integration of refugees must readily take into account the role of service provision in that process.
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Notes
- 1.
See the supplementary material Sect. A.1.
- 2.
See the supplementary material Sect. A.2 for the list of antennas associated with camps, borders, and coastal departure points. The two refugee camps Nizip 1 and Nizip 2 are in effectively the same location, so they are treated as one camp for the purposes of antenna assignment. Together they have five antennas associated with them. We note that two antennas assigned to border crossings closest cell tower rule were also assigned to refugee camps.
- 3.
See the supplementary material Sect. A.3 for details.
- 4.
See the supplementary material Sect. A.4 for all correlation tables.
- 5.
See the supplementary material Sect. A.3 for departure points and results. We conducted a least trimmed squares regression trying different alpha values. The coefficients changed between 0.0015 and 0.002 for the possible range of alpha values, from 1 to 0.5.
- 6.
The number of refugees increased from 2,880,325 to 3,049,879 between January and June 2017. It further increased to 3,381,005 by December 2017 as per statistics provided by the Turkish government.
- 7.
See the supplementary material Sect. A.5 for within-group differences and for across-group differences and in call and SMS volumes.
- 8.
See the supplementary material Sect. A.6 for differences in calling and SMS behavior on religious days.
- 9.
See the supplementary material Sects. B.1 and B.2 for the list of variables we employ and summary statistics.
- 10.
Let \(p_A\) be the probability of being from province A in the population, and \(s_A\) the probability of being from province A in the sample, the weight for province A is calculated as \(p_A/s_A\).
- 11.
See the supplementary material Sect. A.4 for more detail.
- 12.
See the supplementary material Sect. B.5 for detailed regression results.
- 13.
We note that only a subset of the total call volume of Dataset 1 is used for this network analysis because 90.8% of the call volume is listed as having an unknown base station for either incoming or outgoing location. The antenna with the highest and lowest network centrality is shown Sect. B.3 of the supplementary material.
- 14.
See the supplementary material Sect. B.4 for Lasso and Ridge results.
- 15.
See the supplementary material Sect. C.1.
References
(2014) EDAM center for economics & foreign policy studies: reaction mounting against Syrian refugees in Turkey. Technical Report 1. Public Opinion Surveys of Turkish Foreign Policy. http://edam.org.tr/en/reaction-mounting-againstsyrian-refugees-in-turkey/
(2014) Turkiye diyanet vakfi: Suriye raporu. Technical report
(2015) Effects of the Syrian refugees on Turkey. Technical report. Center for Middle Eastern Strategic Studies (ORSAM). http://www.orsam.org.tr/files/Raporlar/rapor195/195eng.pdf
(2015) Mevsimlik Tarım Işçilerinin Sorunlarının Araştırılarak Alınması Gereken Önlemlerin Belirlenmesi Amacıyla Kurulan Meclis Araştırması Komisyonu Raporu. http://www3.csgb.gov.tr/csgbPortal/ShowProperty/WLPRepository/isggm/dosyalar/TarimdaISG3
(2015) Syrian refugee arrivals in Greece. Technical report
(2016) Konda barometer: “perceptions toward Syrian refugees”. http://konda.com
(2017) AFAD: field survey on demographic view, living conditions, and future expectations of Syrians in Turkey
(2018) Ihh insani yardim vakfi: Suriye faaliyet raporu (2012–2018). Technical report
(2017) Bilgi Teknolojileri ve Iletişim Kurumu, Türkiye Elektronik Haberleşme Sektörü Pazar Verileri Raporu. Sektörel Araştırma ve Strateji Geliştirme Dairesi Başkanlığı. https://www.btk.gov.tr/pazar-verileri
Allport GW, Clark K, Pettigrew T (1954) The nature of prejudice. Addison-Wesley Reading, MA
Baldo N, Closas P (2013) Disease outbreak detection by mobile network monitoring: a case study with the D4D datasets. In: NetMob D4D challenge, pp 1–4
Bansak K, Hainmueller J, Hangartner D (2016) How economic, humanitarian, and religious concerns shape European attitudes toward asylum seekers. Science 217–222
Broomfield M (2016) Pictures of life for Turkey’s 2.5 million Syrian refugees. The independent. http://www.independent.co.uk/news/world/europe/pictures-of-life-for-turkeys-25-million-syrian-refugees-crisis-migrant-a6969551.html
Buğra A, Keyder Ç (2006) The turkish welfare regime in transformation. J Eur Soc Policy 16(3):211–228
Burchett N, Matheson R (2010) The need for belonging: the impact of restrictions on working on the well-being of an asylum seeker. J Occup Sci 17(2):85–91
Burns P, Gimpel JG (2000) Economic insecurity, prejudicial stereotypes, and public opinion on immigration policy. Polit Sci Q 115(2):201–225
Cavaillé C, Marshall J (2019) Education and anti-immigration attitudes: evidence from compulsory schooling reforms across Western Europe. Am Polit Sci Rev 113(1):254–263
Cupolo D (2017) Eu refugee aid enters new phase in Turkey. DW. http://www.dw.com/en/eu-refugee-aid-enters-new-phase-in-turkey/a-41944555
Dancygier RM, Laitin DD (2014) Immigration into Europe: economic discrimination, violence, and public policy. Annu Rev Polit Sci 17:43–64
Dedeoğlu N, Ergin I (eds) (2016) War, migration and health; experience of Turkey. http://www.ttb.org.tr/kutuphane/siginmacilar_rpr_en.pdf
Dinas E, Matakos K, Xefteris D, Hangartner D (2018) Waking up the golden dawn: does exposure to the refugee crisis increase support for extreme-right parties? Polit Anal 1–11
Dustmann C, Vasiljeva K, Damm AP (2016) Refugee migration and electoral outcomes. The Rockwool Foundation Research Unit Study (Paper 111)
Erdoğan MM (2015) Türkiye’deki Suriyeliler: Toplumsal kabul ve uyum. İstanbul Bilgi Üniversitesi Yayınları
Esses VM, Dovidio JF, Jackson LM, Armstrong TL (2001) The immigration dilemma: the role of perceived group competition, ethnic prejudice, and national identity. J Soc Issues 57(3):389–412
Gadarian SK, Albertson B (2014) Anxiety, immigration, and the search for information. Polit Psychol 35(2):133–164
Getmansky A, Sınmazdemir T, Zeitzoff T (2018) Refugees, xenophobia, and domestic conflict: evidence from a survey experiment in Turkey. J Peace Res 55(4):491–507
Hainmueller J, Hangartner D (2013) Who gets a swiss passport? A natural experiment in immigrant discrimination. Am Polit Sci Rev 107(1):159–187
Hangartner D, Dinas E, Marbach M, Matakos K, Xefteris D (2017) Does exposure to the refugee crisis make natives more hostile? Am Polit Sci Rev 1–14
Karreth J, Singh SP, Stojek SM (2015) Explaining attitudes toward immigration: the role of regional context and individual predispositions. West Eur Polit 38(6):1174–1202
Kitschelt H, McGann AJ (1997) The radical right in Western Europe: a comparative analysis. University of Michigan Press
Kuran T (2001) The provision of public goods under Islamic law: origins, impact, and limitations of the waqf system. Law Soc Rev 841–898
Lazarev E, Sharma K (2017) Brother or burden: an experiment on reducing prejudice toward Syrian refugees in Turkey. Polit Sci Res Methods 5(2):201–219
Mandic D (2017) Trafficking and Syrian refugee smuggling: evidence from the Balkan route. Soc Incl 5(2):28–38
Mari L, Gatto M, Ciddio M, Dia ED, Sokolow SH, De Leo GA, Casagrandi R (2017) Big-data-driven modeling unveils country-wide drivers of endemic schistosomiasis. Sci Rep 7(1):489
Paluck EL, Green DP (2009) Prejudice reduction: What works? A review and assessment of research and practice. Annu Rev Psychol 60:339–367
Pettigrew TF, Tropp LR (2006) A meta-analytic test of intergroup contact theory. J Personal Soc Psychol 90(5):751–783
Pokhriyal N, Jacques DC (2017) Combining disparate data sources for improved poverty prediction and mapping. Proc Natl Acad Sci 114(46):E9783–E9792
Salah AA, Pentland A, Lepri B, Letouzé E, Vinck P, de Montjoye YA, Dong X, Dağdelen Ö (2018) Data for refugees: the D4R challenge on mobility of Syrian refugees in Turkey. arXiv:180700523
Scheve KF, Slaughter MJ (2001) Labor market competition and individual preferences over immigration policy. Rev Econ Stat 83(1):133–145
Sputnik (2017) Ankara’s use of refugees as political bargaining tool angers Turkish opposition. https://sputniknews.com/europe/201703171051676779-turkey-refugees-political-bargaining/
Steinmayr A (2016) Exposure to refugees and voting for the far-right: (unexpected) results from Austria. IZA discussion Paper
Tomaszewski B (2014) Geographic information systems (GIS) for disaster management. CRC Press
Tompkins AM, McCreesh N (2016) Migration statistics relevant for malaria transmission in Senegal derived from mobile phone data and used in an agent-based migration model. Geospatial Health 11(1s)
Acknowledgements
We are grateful to the Republic of Turkey Ministry of Interior, the Red Crescent (Kızılay), and the Disaster and Emergency Management Authority (AFAD) for their data support. We thank Ahmet Utku Akbıyık for his research assistance. Finally, we would like to express our sincere gratitude to the D4R challenge organizers and Turk Telekom for setting up the challenge and for providing us with the datasets.
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Bozcaga, T., Christia, F., Harwood, E., Daskalakis, C., Papademetriou, C. (2019). Syrian Refugee Integration in Turkey: Evidence from Call Detail Records. In: Salah, A., Pentland, A., Lepri, B., Letouzé, E. (eds) Guide to Mobile Data Analytics in Refugee Scenarios. Springer, Cham. https://doi.org/10.1007/978-3-030-12554-7_12
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