Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/283427 
Year of Publication: 
2023
Series/Report no.: 
IRENE Working Paper No. 23-05
Publisher: 
University of Neuchâtel, Institute of Economic Research (IRENE), Neuchâtel
Abstract: 
We exploit 0.5ê×0.5ê raster data for mainland Southeast Asia from 2010 to 2020 to document a non-linear relationship between extreme temperature days and conflict. We show that the occurrence of conflict events increases with extreme maximum temperature days, whereas days with extreme minimum temperature decrease the occurrence of conflict. Because climate change makes both maximum and minimum temperature extremes more likely, these effects partially offset each other on aggregate. However, our results further suggest that the impact of extreme maximum and minimum temperature days differs for the type of conflict, actors involved and population affected, indicating complex distributional consequences.
Subjects: 
Climate change
adaptation
conflict
extreme temperature
JEL: 
Q54
O13
H56
D74
P48
Document Type: 
Working Paper

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