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Beyond climate and conflict relationships: new evidence from copulas analysis

Author

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  • Olivier Damette
  • Stephane Goutte

Abstract

This paper contributes to the new climate-society literature (Carleton and Hsiang, 2016) by analysing the role of climate in conflicts over the historical period from 1500 to 1800, in the vein of the recent literature initiated by Tol and Wagner (2010) and Burke and Hsiang (2014). As far as we know, this study is the first to apply copulas and time-varying copula analysis to climate-economics literature and to the analysis of climate and conflicts in a historical time series context. Effects of temperatures, precipitation and ENSO/NAO teleconnection on conflicts were investigated. Copula analysis enabled us to identify a positive dependence between temperatures and conflicts, and negative or positive dependences between anomalous precipitation and conflicts, by explicitly focusing on the joint marginal distribution of our variables. Using a time-varying approach, we were also able to precisely identify the periods/regimes during which the link between climate and conflict was genuinely active and then check the robustness of previous literature, such as Zhang et al. (2006, 2007, 2011).

Suggested Citation

  • Olivier Damette & Stephane Goutte, 2020. "Beyond climate and conflict relationships: new evidence from copulas analysis," Working Papers of BETA 2020-19, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    • Handle: RePEc:ulp:sbbeta:2020-19
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    File URL: http://beta.u-strasbg.fr/WP/2020/2020-19.pdf
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    References listed on IDEAS

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    1. Bedoui, Rihab & Braeik, Sana & Goutte, Stéphane & Guesmi, Khaled, 2018. "On the study of conditional dependence structure between oil, gold and USD exchange rates," International Review of Financial Analysis, Elsevier, vol. 59(C), pages 134-146.
    2. Allen, Robert C., 2001. "The Great Divergence in European Wages and Prices from the Middle Ages to the First World War," Explorations in Economic History, Elsevier, vol. 38(4), pages 411-447, October.
    3. Jean-François Maystadt & Olivier Ecker, 2014. "Extreme Weather and Civil War: Does Drought Fuel Conflict in Somalia through Livestock Price Shocks?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 96(4), pages 1157-1182.
    4. Edward Miguel & Shanker Satyanath & Ernest Sergenti, 2004. "Economic Shocks and Civil Conflict: An Instrumental Variables Approach," Journal of Political Economy, University of Chicago Press, vol. 112(4), pages 725-753, August.
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    Cited by:

    1. Olivier Damette & Stephane Goutte & Qing Pei, 2020. "Climate and nomadic migration in a nonlinear world: evidence of the historical China," Climatic Change, Springer, vol. 163(4), pages 2055-2071, December.

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    More about this item

    Keywords

    Climate change; Conflicts; Social Disturbances; Global Crisis; Copulas.;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - General
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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