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A reassessment of the impact of temperature change on European conflict during the second millennium CE using a bespoke Bayesian time-series model

Author

Listed:
  • W. Christopher Carleton

    (Extreme Events Research Group, Max Planck Institutes for Chemical Ecology, The Science of Human History, and Biogeochemistry)

  • Dave Campbell

    (Carleton University)

  • Mark Collard

    (Simon Fraser University)

Abstract

Recently, there has been a lot of discussion about the impact of climate change on human conflict. Here, we report a study in which we revisited the findings of a paper that has been cited many times in the discussion. The paper in question focused on the association between temperature and conflict in Europe between 1000 and 1980 CE and suggested that colder temperatures led to more conflict. However, there are reasons to be skeptical of this finding. Most importantly, the analytical technique used by the paper’s authors was not suitable for the conflict dataset because the dataset is count-based and contains autocorrelation. With this in mind, we developed a Bayesian time-series model that is capable of dealing with these features, and then we reanalysed the dataset in conjunction with several temperature reconstructions. The results we obtained were unambiguous. None of the models that included temperature as a covariate outperformed a null hypothesis in which conflict levels at any given time were determined only by previous levels. Thus, we found no evidence that colder temperatures led to more conflict in Europe during the second millennium CE. When this finding is placed alongside the results of other studies that have examined temperature and conflict over the long term, it is clear that the impact of temperature on conflict is context dependent. Identifying the factor(s) that mediate the relationship between temperature and conflict should now be a priority.

Suggested Citation

  • W. Christopher Carleton & Dave Campbell & Mark Collard, 2021. "A reassessment of the impact of temperature change on European conflict during the second millennium CE using a bespoke Bayesian time-series model," Climatic Change, Springer, vol. 165(1), pages 1-16, March.
    • Handle: RePEc:spr:climat:v:165:y:2021:i:1:d:10.1007_s10584-021-03022-2
    DOI: 10.1007/s10584-021-03022-2
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    References listed on IDEAS

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    1. Keele, Luke & Kelly, Nathan J., 2006. "Dynamic Models for Dynamic Theories: The Ins and Outs of Lagged Dependent Variables," Political Analysis, Cambridge University Press, vol. 14(2), pages 186-205, April.
    2. Marshall Burke & Solomon M. Hsiang & Edward Miguel, 2015. "Climate and Conflict," Annual Review of Economics, Annual Reviews, vol. 7(1), pages 577-617, August.
    3. Burke, Marshall & Hsiang, Solomon M & Miguel, Edward, 2015. "Climate and Conflict," Department of Economics, Working Paper Series qt41d8p9fh, Department of Economics, Institute for Business and Economic Research, UC Berkeley.
    4. Wilkins, Arjun S., 2018. "To Lag or Not to Lag?: Re-Evaluating the Use of Lagged Dependent Variables in Regression Analysis," Political Science Research and Methods, Cambridge University Press, vol. 6(2), pages 393-411, April.
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    Cited by:

    1. Chengjiu Sun & Hongfei Li, 2024. "The Celestial Empire: solar eclipses, political legitimacy, and economic performance in historical China," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 18(2), pages 453-491, May.

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