This study investigates how climate change might impact economic development in the future through its effects on violence, addressing the gap in research on long-term conflict risk assessment. Using geocoded data (1◦ resolution) on climate and socio-economic indicators covering 1990–2050, we employ a forecasting recursive model to examine the probability and intensity of different types of conflict, under various socioeconomic and climate scenarios. Our analysis reveals that climate change has both direct and indirect effects on violence, highlighting the key role of the agricultural channel, the spillover across neighbouring areas and the socio-economic context. These findings offer new insights into adaptation strategy and provide implications for the need to jointly account for the complex interactions between climate conditions, socio-economic factors, and conflict dynamics.

Forecasting the climate-conflict risk in Africa along climate-related scenarios and multiple socio-economic drivers / Conigliani, Caterina; Costantini, Valeria; Paglialunga, Elena; Tancredi, Andrea. - In: ECONOMIC MODELLING. - ISSN 0264-9993. - (2024). [10.1016/j.econmod.2024.106911]

Forecasting the climate-conflict risk in Africa along climate-related scenarios and multiple socio-economic drivers

Tancredi, Andrea
2024

Abstract

This study investigates how climate change might impact economic development in the future through its effects on violence, addressing the gap in research on long-term conflict risk assessment. Using geocoded data (1◦ resolution) on climate and socio-economic indicators covering 1990–2050, we employ a forecasting recursive model to examine the probability and intensity of different types of conflict, under various socioeconomic and climate scenarios. Our analysis reveals that climate change has both direct and indirect effects on violence, highlighting the key role of the agricultural channel, the spillover across neighbouring areas and the socio-economic context. These findings offer new insights into adaptation strategy and provide implications for the need to jointly account for the complex interactions between climate conditions, socio-economic factors, and conflict dynamics.
2024
Africa; armed conflicts; climate change; forecasting methods; shared socioeconomic pathways; Spatial spillovers
01 Pubblicazione su rivista::01a Articolo in rivista
Forecasting the climate-conflict risk in Africa along climate-related scenarios and multiple socio-economic drivers / Conigliani, Caterina; Costantini, Valeria; Paglialunga, Elena; Tancredi, Andrea. - In: ECONOMIC MODELLING. - ISSN 0264-9993. - (2024). [10.1016/j.econmod.2024.106911]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1724049
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