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Fragile State Index: Trends and Developments. A Partial Order Data Analysis

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  • Lars Carlsen

    (Awareness Center)

  • Rainer Bruggemann

    (Leibniz - Institute of Freshwater Ecology and Inland Fisheries)

Abstract

Partial order methodologies appear as advantageous tools to disclose evaluative trends and developments for time series as, e.g., the fragile states index (FSI). The present study focuses on the variations in the 12 individual indicators of the FSI over the years 2011–2015. The FSI includes in total 178 states and the present study analyzes both the full set of states and a subset comprising only the 28 European Union states. Clear trends are observed. Thus, on a global scale the primary importance of brain drain apparently is turned into group grievance whereas on the European scale the development discloses the increased problems associated with the increasing number of refugees and migrants as well as the declining economic situation in some states. Further the study discloses a series of so-called peculiar states, i.e., states where single indicators values are markedly higher or lower than expected when comparing to the “main stream” of indicator values for the states studied. In all cases the findings were substantiated and verified by available literature.

Suggested Citation

  • Lars Carlsen & Rainer Bruggemann, 2017. "Fragile State Index: Trends and Developments. A Partial Order Data Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 133(1), pages 1-14, August.
    • Handle: RePEc:spr:soinre:v:133:y:2017:i:1:d:10.1007_s11205-016-1353-y
    DOI: 10.1007/s11205-016-1353-y
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    References listed on IDEAS

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    1. Giuseppe Munda, 2003. "Social Multi-Criteria Evaluation (SMCE)," UHE Working papers 2003_04, Universitat Autònoma de Barcelona, Departament d'Economia i Història Econòmica, Unitat d'Història Econòmica.
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    3. Petrou, Panagiotis & Vandoros, Sotiris, 2015. "Cyprus in crisis: Recent changes in the pharmaceutical market and options for further reforms without sacrificing access to or quality of treatment," Health Policy, Elsevier, vol. 119(5), pages 563-568.
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    Cited by:

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    2. Abbas, Hafiz Syed Mohsin & Xu, Xiaodong & Sun, Chunxia, 2023. "Dynamics of group grievances from a global cohesion perspective," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
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    5. Alberto Arcagni & Laura Cavalli & Marco Fattore, 2021. "Partial Order Algorithms for the Assessment of Italian Cities Sustainability," Working Papers 2021.01, Fondazione Eni Enrico Mattei.
    6. Park, Sung Jae & Lee, Kyu-Min & Yang, Jae-Suk, 2023. "Calculating the country risk embedded in treaty-shopping networks," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    7. Arcagni, Alberto & Cavalli, Laura & Fattore, Marco, 2021. "Partial Order Algorithms for the Assessment of Italian Cities Sustainability," FEEM Working Papers 309036, Fondazione Eni Enrico Mattei (FEEM).
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    10. Leonardo Salvatore Alaimo & Alberto Arcagni & Marco Fattore & Filomena Maggino, 2021. "Synthesis of Multi-indicator System Over Time: A Poset-based Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 157(1), pages 77-99, August.
    11. Alaimo, Leonardo Salvatore & Ivaldi, Enrico & Landi, Stefano & Maggino, Filomena, 2022. "Measuring and evaluating socio-economic inequality in small areas: An application to the urban units of the Municipality of Genoa," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    12. Tugce Beycan & B. P. Vani & Rainer Bruggemann & Christian Suter, 2019. "Ranking Karnataka Districts by the Multidimensional Poverty Index (MPI) and by Applying Simple Elements of Partial Order Theory," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 173-200, May.
    13. Rainer Bruggemann & Lars Carlsen, 2021. "Attempt to test impact values for multi-indicator systems—exemplified by gender equality," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(6), pages 2219-2235, December.
    14. Paola Annoni & Nicholas Charron, 2019. "Measurement Assessment in Cross-Country Comparative Analysis: Rasch Modelling on a Measure of Institutional Quality," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 31-60, January.
    15. Steven A. Brieger & Michael M. Gielnik, 2021. "Understanding the gender gap in immigrant entrepreneurship: a multi-country study of immigrants’ embeddedness in economic, social, and institutional contexts," Small Business Economics, Springer, vol. 56(3), pages 1007-1031, February.
    16. Alaimo, Leonardo Salvatore & Fiore, Mariantonietta & Galati, Antonino, 2022. "Measuring consumers’ level of satisfaction for online food shopping during COVID-19 in Italy using POSETs," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).

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