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Climate and nomadic migration in a nonlinear world: evidence of the Historical China

Olivier Damette, Stéphane Goutte () and Qing Pei
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Qing Pei: EdUHK - The Education University of Hong Kong

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Abstract: This paper deals with climate change and nomadic migration relationships at a long term and wide geographical scale using a statistical approach in the vein of Bai and Kung (2011). More precisely, it presents a reassessment of these relationships in a nonlinear world using threshold regressions, time varying-copula and nonlinear causality tests. The large amount of historical records in China enables us to re-interpret the link between climate and historical social dynamics (Hsiang et al., 2013) through different regimes of temperatures and precipitations.

Keywords: Copula; Cau; Non linearity; Threshold Regression; Historical China; Conflicts; Nomadic migration; Climate change (search for similar items in EconPapers)
Date: 2020-05-30
New Economics Papers: this item is included in nep-cna, nep-env and nep-his
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