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An Alternative View on Distribution Keys for the Possible Relocation of Refugees in the European Union

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Abstract

The major social and human problem today is the extreme number of refugees, e.g., politically determined, from various conflicts zone around the world. The European Union currently discusses the possible distribution and relocation of these refugees among the member states. The European Commission suggested keys to the distribution based on aggregated indicators, which for obvious reasons has its pitfalls. Here distribution keys based on a partial ordering approach is discussed. The choice of indicators apparently is crucial due to the relative importance of the single indicators. Two approaches are applied to derive distribution keys, both taking the onset in the average ordering of the 28 EU countries. In the first simple approach, independently of the choice of indicators among the here applied, five countries, i.e., Denmark, Germany, The Netherlands, Sweden and The United Kingdom consequently are found among the Top-10 countries that should receive the major parts of refugees. In a second approach, applying a normalization based on population size the bigger countries with fairly solid economies are suggested to receive the majority of accepted refugees. The eventual choice of indicators as well as the normalization process is a political discussion and is not part of the present study.

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References

  • Bruggemann, R., & Carlsen, L. (2011). An improved estimation of averaged ranks of partially orders. MATCH Communications in Mathematical and in Computer Chemistry, 65, 383–414.

    Google Scholar 

  • Bruggemann, R., & Carlsen, L. (2012). Multicriteria decision analyses. Viewing MCDA in terms of both process and aggregation methods: Some thoughts, motivated by the paper of Huang, Keisler and Linkov. Science of the Total Environment, 425, 293–295.

    Article  Google Scholar 

  • Bruggemann, R., & Carlsen, L. (2014). Incomparable—What now? MATCH Communications in Mathematical and Computer Chemistry, 71, 694–716.

    Google Scholar 

  • Bruggemann, R., & Carlsen, L. (2015a). Incomparable—What now II? Absorption of incomparabilities by a cluster-method. Quality and Quantity, 49, 1633–1645.

    Article  Google Scholar 

  • Bruggemann, R., & Carlsen, L. (2015b). Incomparable—What now III? Incomparabilities, elucidated by a simple version of ELECTRE III and a fuzzy partial order approach. MATCH Communications in Mathematical and Computer Chemistry, 73, 277–302.

    Google Scholar 

  • Brüggemann, R., & Carlsen, L. (2006). Introduction to partial order theory exemplified by the evaluation of sampling sites. In R. Brüggemann & L. Carlsen (Eds.), Partial order in environmental sciences and chemistry (pp. 61–110). Berlin: Springer.

    Chapter  Google Scholar 

  • Bruggemann, R., Carlsen, L., Voigt, K., & Wieland, R. (2014). PyHasse software for partial order analysis: Scientific background and description of selected modules. In R. Bruggemann, L. Carlsen, & J. Wittmann (Eds.), Multi-indicator systems and modelling in partial order (pp. 389–423). New York: Springer.

    Chapter  Google Scholar 

  • Bruggemann, R., Halfon, E., Welzl, G., Voigt, K., & Steinberg, C. (2001). Applying the concept of partially ordered sets on the ranking of near-shore sediments by a battery of tests. Journal of Chemical Information and Computer Sciences, 41, 918–925.

    Article  Google Scholar 

  • Brüggemann, R., Lerche, D., Sørensen, P. B., & Carlsen, L. (2004). Estimation of average ranks by a local partial order model. Journal of Chemical Information and Computer Sciences, 44, 618–625.

    Article  Google Scholar 

  • Brüggemann, R., & Münzer, B. (1993). A graph-theoretical tool for priority setting of chemicals. Chemosphere, 27, 1729–1736.

    Article  Google Scholar 

  • Brüggemann, R., & Patil, G. P. (2011). Ranking and prioritization for multi-indicator systems—Introduction to partial order applications. New York: Springer.

    Book  Google Scholar 

  • Brüggemann, R., & Voigt, K. (2008). Basic principles of hasse diagram technique in chemistry. Combinatorial Chemistry & High Throughput Screening, 11, 756–769.

    Article  Google Scholar 

  • Carlsen, L. (2015). Data analysis by partial order methodology. Chemical Bulletin of Kazakh National University,. doi:10.15328/cb632.

    Google Scholar 

  • Carlsen, L., & Bruggemann, R. (2013). An analysis of the ‘Failed States Index’ by partial order methodology. Journal of Social Structure, 14(3), 1–32.

    Google Scholar 

  • Carlsen, L., & Bruggemann, R. (2014). The ‘Failed State Index’ offers more than just a simple ranking. Social Indicators Research, 115, 525–530.

    Article  Google Scholar 

  • Carlsen, L., & Bruggemann, R. (subm.) Partial ordering and metrology. Analyzing analytical performance.

  • De Loof, K., De Meyer, H., & De Baets, B. (2006). Exploiting the lattice of ideals representation of a poset. Fundamenta Informaticae, 71, 309–321.

    Google Scholar 

  • EC. (2015a). European Council meeting (25 and 26 June 2015)—Conclusions, EUCO 22/15.

  • EC. (2015b). Communication from the Commission to the European Parliament, the Council, the European Economic and Social Committee and the Committee of the Regions. A European agenda on migration, COM(2015) 240 final.

  • Ernesti, J., & Kaiser, P. (2008). Python—Das umfassende Handbuch. Bonn: Galileo Press.

    Google Scholar 

  • Eurostat. (2015a.) Resettled persons—Annual data. http://ec.europa.eu/eurostat/en/web/products-datasets/-/TPS00195. Accessed September, 2015.

  • Eurostat. (2015b). Unemployment statistics. http://ec.europa.eu/eurostat/statistics-explained/index.php/Unemployment_statistics. Accessed September, 2015.

  • Fund for Peace. (2015) Fragile States Index. http://library.fundforpeace.org/fsi. Accessed August, 2015.

  • Hetland, M. L. (2005). Beginning Python—From novice to professional. Berkeley: Apress.

    Google Scholar 

  • Koppatz, P., & Brüggemann, R. (2013). PyHasse NG. In J. Wittmann & Müller M (Eds.), Simulation in Umwelt- und Geowissenschaften. Workshop Leipzig 2013 (pp. 305–311). Aachen: Shaker-Verlag.

  • Langtangen, H. P. (2008). Python scripting for computational science. Berlin: Springer.

    Book  Google Scholar 

  • Moraga, J. F.-H., & Rapoport, H. (2014). Tradable refugee-admission quotas and EU Asylum policy, IZA Discussion Paper No. 8683, Forschungsinstitut zur Zukunft der Arbeit Institute for the Study of Labor. ftp.iza.org/dp8683.pdf. Accessed August, 2015.

  • Morton, J., Pachter, L., Shiu, A., Sturmfels, B., & Wienand, O. (2009). Convex rank tests and semigraphoids. SIAM Journal on Discrete Mathematics, 23, 1117–1134.

    Article  Google Scholar 

  • Munda, G. (2008). Social multi-criteria evaluation for a sustainable economy. Berlin: Springer.

    Book  Google Scholar 

  • Myers, N. (2002). Environmental refugees: A growing phenomenon of the 21st century. Philosophical Transactions of the Royal Society of London. Series B, Biological sciences, 357(1420), 609–613.

    Article  Google Scholar 

  • Prakash, B. Whither go climate refugees? Eco walk the talk. Dec. 6th, 2010. http://www.ecowalkthetalk.com/blog/2010/12/06/whither-go-climate-refugees/. Accessed September, 2015.

  • Sørensen, P. B., Mogensen, B. B., Carlsen, L., & Thomsen, M. (2000). The infuence on partial order ranking from input parameter uncertainty. Definition of a robustness parameter. Chemosphere, 41, 595–601.

    Article  Google Scholar 

  • Sportlight. (2015). EU Ministers agree to relocate 32,000 refugees. http://refugeereport.org/eu-ministers-agree-to-resettle-35000-refugees/. Accessed September, 2015.

  • The Free Dictionary. (2015). Tied rank. http://encyclopedia2.thefreedictionary.com/tied+rank. Accessed September, 2015.

  • UNHCR. (2010). Convention and protocol relating to the status of refugees. http://www.unhcr.org/3b66c2aa10.html. Accessed September 2015.

  • UNHCR. (2011). The 1951 convention relating to the status of refugees and its 1967 protocol. http://www.unhcr.org/4ec262df9.html. Accessed September, 2015.

  • UNHCR. (2015). 2015 UNHCR regional operations profile—Europe. http://www.unhcr.org/pages/4a02d9346.html. Accessed September, 2015.

  • Voigt, K., & Brüggemann, R. (1995). Toxicology databases in the metadatabank of online databases. Toxicology, 100, 225–240.

    Article  Google Scholar 

  • Weigend, M. (2006). Objektorientierte Programmierung mit Python. Bonn: mitp-Verlag.

    Google Scholar 

  • Wienand, O. (2006). Lcell. http://bio.math.berkeley.edu/ranktests/lcell/. Accessed September, 2015.

  • World Bank. (2015a). The little green data book 2015. Washington, DC: World Bank.

    Book  Google Scholar 

  • World Bank. (2015b). Adjusted net national income. http://data.worldbank.org/indicator/NY.ADJ.NNTY.KD.ZG. Accessed September, 2015.

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Carlsen, L. An Alternative View on Distribution Keys for the Possible Relocation of Refugees in the European Union. Soc Indic Res 130, 1147–1163 (2017). https://doi.org/10.1007/s11205-016-1234-4

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