2022
DOI: 10.5194/cp-18-2077-2022
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Recession or resilience? Long-range socioeconomic consequences of the 17th century volcanic eruptions in northern Fennoscandia

Abstract: Abstract. Past volcanic eruptions and their climatic impacts have been linked increasingly with co-occurring societal crises – like crop failures and famines – in recent research. Yet, as many of the volcanic cooling studies have a supra-regional or hemispheric focus, establishing pathways from climatic effects of an eruption to human repercussions has remained very challenging due to high spatial variability of socio-environmental systems. This, in turn, may render a distinction of coincidence from causation … Show more

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Cited by 10 publications
(23 citation statements)
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“…The maximum number of lags used, m, must be chosen. For this article, we applied the Wald test at the p = 0.05 significance level, and allowed lags up to Bekar, 2019;Huhtamaa et al, 2022;Ljungqvist et al, 2022). The Granger causality is calculated both on the 10-year high-pass filtered data and on linearly detrended data.…”
Section: The Granger Causality Test Proceduresmentioning
confidence: 99%
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“…The maximum number of lags used, m, must be chosen. For this article, we applied the Wald test at the p = 0.05 significance level, and allowed lags up to Bekar, 2019;Huhtamaa et al, 2022;Ljungqvist et al, 2022). The Granger causality is calculated both on the 10-year high-pass filtered data and on linearly detrended data.…”
Section: The Granger Causality Test Proceduresmentioning
confidence: 99%
“…Considering auto-correlation (AR1), no systematic differences in the strength of climate-harvest relationships are found between data characterised by high or low AR1 values. The auto-correlative structure of harvest series could be dependent on a number of factors, e.g., informal regulations of local tithes (Leijonhufvud, 2001), inadequate documentation (Le Roy Ladurie and Goy, 1982), access to and shortage of seed grain (Huhtamaa et al, 2022) or possibly through a dependency on a climatic variable with an auto-correlative structure (Esper et al, 2015). In the first three of these hypothesised causes, it could be expected that harvest data with an AR1 higher than that of the climate parameters would have produced weaker correlations.…”
Section: Granger Causality Of Climate-harvest Yield Relationshipsmentioning
confidence: 99%
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