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Climate security assessment of countries

Author

Listed:
  • Yannis A. Phillis

    (School of Production Engineering and Management, Technical University of Crete)

  • Nektarios Chairetis

    (School of Production Engineering and Management, Technical University of Crete)

  • Evangelos Grigoroudis

    (School of Production Engineering and Management, Technical University of Crete)

  • Fotis D. Kanellos

    (School of Production Engineering and Management, Technical University of Crete)

  • Vassilis S. Kouikoglou

    (School of Production Engineering and Management, Technical University of Crete)

Abstract

Climate change has repercussions on national security. Yet, no widely accepted definition of climate security exists to date. In this paper, we present a mathematical model that defines and assesses climate security as a function of 37 indicators of exposure, sensitivity, and adaptive capacity. The model combines the indicators using statistical methods and fuzzy logic which encapsulates the subjective part of the assessment, to derive an overall climate security score from 0 to 1, and then rank 187 countries. A sensitivity analysis points to those indicators with the highest potential to improve climate security and indicates regional priorities for action. It turns out that globally the highest priorities are the economy which is necessary for climate adaptation, population growth which should be contained, political rights, renewable energy use, and sea level rise. Although several results such as the high ranks of Scandinavian countries are intuitive, the model uncovers unexpected facts such as the higher rank of Uruguay than Denmark and Japan or the higher rank of Costa Rica than Italy. However, a closer look at the intermediate results reveals that Uruguay and Costa Rica are far superior to Denmark, Japan, and Italy in the areas of water and energy.

Suggested Citation

  • Yannis A. Phillis & Nektarios Chairetis & Evangelos Grigoroudis & Fotis D. Kanellos & Vassilis S. Kouikoglou, 2018. "Climate security assessment of countries," Climatic Change, Springer, vol. 148(1), pages 25-43, May.
  • Handle: RePEc:spr:climat:v:148:y:2018:i:1:d:10.1007_s10584-018-2196-0
    DOI: 10.1007/s10584-018-2196-0
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    References listed on IDEAS

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    1. Leslie Lipper & Philip Thornton & Bruce M. Campbell & Tobias Baedeker & Ademola Braimoh & Martin Bwalya & Patrick Caron & Andrea Cattaneo & Dennis Garrity & Kevin Henry & Ryan Hottle & Louise Jackson , 2014. "Climate-smart agriculture for food security," Nature Climate Change, Nature, vol. 4(12), pages 1068-1072, December.
    2. Joshua Busby & Kerry Cook & Edward Vizy & Todd Smith & Mesfin Bekalo, 2014. "Identifying hot spots of security vulnerability associated with climate change in Africa," Climatic Change, Springer, vol. 124(4), pages 717-731, June.
    3. Ole Theisen & Nils Gleditsch & Halvard Buhaug, 2013. "Is climate change a driver of armed conflict?," Climatic Change, Springer, vol. 117(3), pages 613-625, April.
    4. Phillis, Yannis A. & Grigoroudis, Evangelos & Kouikoglou, Vassilis S., 2011. "Sustainability ranking and improvement of countries," Ecological Economics, Elsevier, vol. 70(3), pages 542-553, January.
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    Cited by:

    1. Evangelos Grigoroudis & Vassilis S. Kouikoglou & Yannis A. Phillis & Fotis D. Kanellos, 2021. "Energy sustainability: a definition and assessment model," Operational Research, Springer, vol. 21(3), pages 1845-1885, September.
    2. Benz, Lukas & Münch, Christopher & Hartmann, Evi, 2021. "Fuzzy-based decision analysis on Arctic transportation: A guidance for freight shipping companies," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Adapting to the Future: Maritime and City Logistics in the Context of Digitalization and Sustainability. Proceedings of the Hamburg International Conf, volume 32, pages 375-400, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

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